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www_missinfopod_com_tag_challenged-books_ | climate | SIMILARITY: 0.4041
In our 72nd episode, Julia heats up a discussion about the three old dead white men whose names grace the most commonly known temperature scales: Fahrenheit, Celsius, and Kelvin. Later, enjoy a quiz called “Fahrenheit 451”!
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[Music: 1) The Polish Ambassador, “360 Degree View of the Phantasmal Farm,” 2014. Courtesy of The Polish Ambassador, CC BY-NC-SA 3.0 license; 2) Frau Holle, “Ascending Souls,” 2017. Courtesy of Frau Holle, CC BY-NC 3.0 license.]
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noelhunter_com_showers-late-today-31_ | climate | SIMILARITY: 0.5216
With a high of F and a low of 41F. Currently, it’s 48F and Cloudy outside.
Current wind speeds: 6 from the Southwest
Pollen: 0
Sunrise: January 18, 2025 at 07:29AM
Sunset: January 18, 2025 at 05:33PM
UV index: 0
Humidity: 76%
via https://ift.tt/yPC9mzV
January 18, 2025 at 04:15PM |
oar_icrisat_org_9860_ | climate | SIMILARITY: 0.4020
Somda, J and Zougmore, R B and Sawadogo, I and Bationo, B A and Buah, S and Abasse, T (2017) Adaptation Processes in Agriculture and Food Security: Insights from Evaluating Behavioral Changes in West Africa. In: Evaluating Climate Change Action for Sustainable Development. Springer International Publishing, pp. 255-269. ISBN 978-3-319-43702-6
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PDF (It is an Open Access article)
- Published Version
Download (191kB) | Preview |
Abstract
This chapter focuses on the evaluation of adaptive capacities of community-level human systems related to agriculture and food security. It highlights findings regarding approaches and domains to monitor and evaluate behavioral changes from CGIAR’s research program on climate change, agriculture and food security (CCAFS). This program, implemented in five West African countries, is intended to enhance adaptive capacities in agriculture management of natural resources and food systems. In support of participatory action research on climate-smart agriculture, a monitoring and evaluation plan was designed with the participation of all stakeholders to track changes in behavior of the participating community members. Individuals’ and groups’ stories of changes were collected using most significant change tools. The collected stories of changes were substantiated through field visits and triangulation techniques. Frequencies of the occurrence of characteristics of behavioral changes in the stories were estimated. The results show that smallholder farmers in the intervention areas adopted various characteristics of behavior change grouped into five domains: knowledge, practices, access to assets, partnership and organization. These characteristics can help efforts to construct quantitative indicators of climate change adaptation at local level. Further, the results suggest that application of behavioral change theories can facilitate the development of climate change adaptation indicators that are complementary to indicators of development outcomes. We conclude that collecting stories on behavioral changes can contribute to biophysical adaptation monitoring and evaluation.
| Item Type: | Book Section |
|---|---|
| Divisions: | Research Program : West & Central Africa |
| CRP: | CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) |
| Uncontrolled Keywords: | Behavioral changes, Climate change, Monitoring, Evaluation, CCAFS, CGIAR, West Africa, Agriculture and food security |
| Subjects: | Others > Agriculture Others > Climate Change Others > Food Security Others > African Agriculture Others > West Africa Others > Niger |
| Depositing User: | Mr Ramesh K |
| Date Deposited: | 19 Jan 2017 10:30 |
| Last Modified: | 05 Sep 2017 10:37 |
| URI: | http://oar.icrisat.org/id/eprint/9860 |
| Acknowledgement: | UNSPECIFIED |
| Links: |
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interpretershelp_com_practice_speeches_les-energies-fossiles-sont-les-ennemies-du-climat-et-de-l-ave | climate | SIMILARITY: 0.4108
| Difficulty | |
|---|---|
| Kind | Speech |
| Duration | 3 minutes |
| Language | French |
| Speaker | Nicolas Hulot |
| Native speaker? | Yes |
| Themes | environment climate change energy |
| Suitable for | Simultaneous |
| Event year | 2016 |
| Glossaries | |
| Video | # 26 Published on Youtube by Fondation Nicolas Hulot | |
www_panthers_com_news_strickly-panthers-heat-is-on-15539130 | climate | SIMILARITY: 0.4232
What word comes to mind when I think back to my first five training camps with the Carolina Panthers and look forward to my sixth one?
Hot.
The forecast for the first few days at training camp in Spartanburg, S.C., and the forecast back in Charlotte is virtually identical, but all heat is not created equal. It will top out around 90 both places this weekend (a veritable cold snap by recent summer standards), but somehow Spartanburg seems to sizzle a little more.
The sizzle at training camp, however, won't be limited to the at-times-oppressive temperatures. Here are some reasons Panthers training camp should be a hot topic around the water cooler over the next few weeks.
TURNING UP THE HEAT: For those counting down the days until the NFL regular season kicks off, the start of training camp marks a momentous occasion. When the players report to Wofford College on Thursday morning, football will be on the front burner (pun intended) for the next six months. The Panthers' preseason opener will be 15 days away; their regular season opener 45 days away. But the wait for wall-to-wall Panthers coverage is over.
HOT ON THE HEELS: Training camp is about identifying the group of players best equipped to help the Panthers win games come the regular season, and that naturally leads to heated competition. Starting jobs and key reserve roles hang in the balance at almost every position, and the fight for the final few of the 53 roster spots will rage on among the 90 players in camp. Whether you pick out a position group to pay special attention to or pick an underdog player to root for in his quest for a roster spot, training camp battles always add intrigue and intensity to the dog days of summer.
IN HOT PURSUIT: Training camp is a major piece of the puzzle when it comes to the still-to-be-written story of the 2014 Carolina Panthers, one that fans hope will have a storybook ending. Coming off consecutive division titles and their first playoff victory in nine years, the Panthers are in hot pursuit of the ultimate trophy – a pursuit whose roots can be traced back to sultry Spartanburg. |
getcomforttoday_com_winter-is-right-around-the-corner-its-time-for-maintenance-on-your-heater_ | climate | SIMILARITY: 0.4729
You know what they say about our weather here on the Northshore and Metro New Orleans – one day you’re walking around in shorts and short-sleeved shirts, and then just like that, you’re bundled up and cranking up your heater.
And it just happened to us last month as our temperatures took a deep dive when an Arctic blast of cold air made its way over the Northshore and Metro New Orleans. And we technically weren’t even out of hurricane season, yet!
At Benfatti Heating and Air, we’ve been helping Southeastern Louisiana families stay warm and toasty during our winter cold snaps since 1989. That’s 30 years of service to our community, making sure that you and yours have a properly functioning heater when our temperatures plunge!
Now is the Time to Schedule Maintenance for Your Home’s Heater
While we do offer same day service for repairs and maintenance, the best way to keep your family warm and comfortable this time of year is to pre-schedule maintenance before you need to turn your heater on again – or schedule it right now if you’re already running your heater 24/7.
That’s because when the cold snaps hit – and you know there’ll be more here before we know it – our phone starts ringing off the hook from homeowners around Slidell, Mandeville, Covington, and Metro New Orleans whose heaters either aren’t functioning properly or have stopped working altogether. Trust us, you don’t want your family left out in the cold when the temperatures drop, and the best way to keep them comfortable is by scheduling an appointment for maintenance today.
What Does Maintenance Include?
You might be wondering why you need your heater inspected and maintained seasonally. Here’s a list of what our technicians are looking for when they come to your home to inspect and maintain your heater once cooler weather hits:
- We check to make sure all vents are working properly, and that there are no blockages that will stop your heated air from being delivered into your home
- We make sure your thermostat is properly operating, calibrated, and leveling, and we even inspect WiFi thermostats, too
- We check for any leaks in your system
- We clean your heater so it’ll function at its best capacity
Additionally, if we find any issues that will likely need to be repaired this season, we’re able to schedule those repairs ASAP – before we hit freezing temperatures again.
Maintenance Keeps You Warmer While Keeping Your Natural Gas Usage Down
If you’re like most families on the Northshore and Metro New Orleans, you probably don’t have high natural gas bills every month, even if you cook on a gas stove. But once those cold snaps hit and your heater’s blasting, that bill certainly does spike!
However, when you get maintenance on your heater, we make sure it’s running as efficiently as possible. This means you don’t pay extra to get your warm air delivered to your interior rooms, which helps reduce natural gas usage.
Sign Up for Our Maintenance Plan and We’ll Remind You When It’s Time to Inspect Your Heater and AC
To help keep you comfortable all year long, Benfatti offers homeowners in Slidell, Mandeville, Covington, and Metro New Orleans heating and air maintenance plans for both Fall/Winter and Spring/Summer inspections and cleanings. By checking your heater in the cooler months and your AC in the warmer months, we’re better able to ensure you and your family will be happy and comfortable all year long. We even offer special pricing programs, so that you can spread out the cost of this bi-annual service throughout the entire year if that option fits best in your family’s budget.
Call Us to Schedule Your Maintenance Today!
To sign up for a maintenance plan, or to schedule maintenance for this month, call us at (985) 646-0540 on the Northshore or (504) 241-3135 in Metro New Orleans. Our Comfort Specialists are ready to help you! |
vuir_vu_edu_au_view_people_Gigas_3AJ_3A_3A_html | climate | SIMILARITY: 0.4540
Gigas, J
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Islam, Sardar M. N ORCID: 0000-0001-9451-7390, Gigas, J and Sheehan, Peter ORCID: 0000-0001-9450-8371 (2020) Cost-benefit analysis of climate change: Towards an operational decision making rule for climate change policy. In: Cost-benefit Analysis: Environmental and Ecological Perspectives. Puttaswamaiah, K, ed. Routledge, New York, pp. 217-226. |
q104kc_com_2023_04_12_ | climate | SIMILARITY: 0.4031
Mid-America Regional Council (MARC)
Ozone season in the Greater Kansas City region began on March 1 and will continue through Oct. 31. During ozone season, the Mid-America Regional Council (MARC) monitors air quality to let you know when ozone levels are expected to be unhealthy. MARC issues the SkyCast, the region’s daily ozone season air quality forecast, each afternoon […] |
www_wealthandsociety_com_updates-and-articles_greater-ambition-now-critical-as-un-climate-change-con | climate | SIMILARITY: 0.4372
“Greater ambition now critical” as UN climate change conference opens
31 October 2021 –Following a series of reports and studies warning that urgent action is needed to keep the Paris Agreement’s goal of limiting global average temperature increases to 1.5C within reach, the United Nations Climate Change Conference opened today with the key aims of raising ambition on all fronts and finalizing the agreement’s implementation guidelines.
“We are extremely grateful to the Government of the United Kingdom for hosting this crucially important conference in these unprecedented times and for making every effort to keep all participants safe and healthy,” said Patricia Espinosa, Executive Secretary of UN Climate Change.
“The devastating loss of lives and livelihoods this year due to extreme weather events clarifies how important it is to convene COP26 despite the impacts of the pandemic still being felt. We are on track for a global temperature rise of 2.7C, while we should be heading for the 1.5C goal. Clearly, we are in a climate emergency. Clearly, we need to address it. Clearly, we need to support the most vulnerable to cope. To do so successfully, greater ambition is now critical,” she underlined.
Greater ambition is required to achieve progress on all elements of the climate change agenda, including reducing emissions, moving adaptation to the centre of the agenda, addressing loss and damage from extreme climatic events and increasing the provision of support to developing countries.
A central issue is the provision of support to developing countries, especially in relation to the goal of mobilizing $100 billion annually by 2020. Financial support is crucial for all elements of the climate change regime, including mitigation, but also in terms of adaptation, capacity-building, technology transfer and several other elements. Many Parties, especially developing countries, feel that in order to advance towards full implementation of the Paris Agreement, previous commitments should first be honoured.
Finalising the Paris Agreement’s implementation guidelines will enable the full implementation of all provisions, which will unleash more ambitious climate actions by all its Parties. Specifically, the outstanding guidelines relate to the details around the global goal on adaptation, how to report climate action and support transparently, and the use of market-based mechanisms and non-market approaches.
“We have no choice but to make COP26 a success. For that, we need unity of purpose. We need to leave Glasgow with a balanced package of decisions that reflects the positions of all countries. With a willingness to compromise among the many perspectives we can arrive at workable, ambitious solutions that will help us keep the 1.5C goal within reach. We stand ready to work with all Parties and to leave no voice behind to reach this important goal,” Ms. Espinosa said.
Having been postponed by a year owing to COVID-19 and having to address items from COP25 held in 2019, COP26 has a huge agenda beyond the key aims.
Addressing the conference following his election, COP President, Alok Sharma thanked delegates for travelling to Glasgow and outlined the urgent need for action:
"As COP President I am committed to promoting transparency and inclusivity. And I will lead this conference in accordance with the draft rules of procedure, and with the utmost respect for the party-driven nature of our process. In that spirit I believe we can resolve the outstanding issues. We can move the negotiations forward. We can launch a decade of ever-increasing ambition and action. Together, we can seize the enormous opportunities for green growth, for good green jobs, for cheaper, cleaner power. But we must hit the ground running to develop the solutions we need. And that work starts today. We will succeed, or fail, as one."
Highlights of COP26
Following a procedural opening on Sunday, 31 October, to enable work to begin quickly, Monday and Tuesday will be the World Leaders Summit with the presence of Royalty and more than 100 Heads of State or Government.
The World Leaders Summit provides all Heads of State or Government with the opportunity to set the stage for COP26.
Key Events
A number of key Ministerial and other events around current climate change efforts will take place during the COP. These include:
- The fourth biennial high-level Ministerial Dialog on climate finance
- The first Ministerial Dialog on climate finance under the Paris Agreement
- Several workshops and events to advance gender-related issues
- Annual meeting with the participation of indigenous peoples and traditional knowledge
Together, all events provide Ministers and participants with a space to have frank and open discussions on progress made to date.
Global Climate Action
Climate Action undertaken by a diversity of stakeholders working to support the implementation of the Paris Agreement will be showcased throughout COP26.
Under the guidance of two high-level climate Champions, Gonzalo Muñoz (Chile) and Nigel Topping (UK), progress, plans and targets for a range of sectors and initiatives will be presented in over 100 events in the Climate Action Zone in COP.
Participants will learn that climate action stakeholders representing 15 per cent of the global economy and accounting for around 11 per cent of total CO2 emissions have already made net zero commitments by (latest) 2050 through the Race to Zero campaign. Furthermore, the mitigation efforts by climate actors are matched by efforts under the Race to Resilience, which is reaching over a billion people, through activities such as Nature-based Solutions, disaster risk reduction, agricultural resilience, and finance and insurance.
In addition, UNFCCC supported sectoral initiatives in sectors such as sports, fashion, tourism, events, films and aviation will announce higher ambition, faster implementation and increased collaboration to align these sectors with the 1.5 degree C target of the Paris Agreement.
Physical and digital participation
COVID-19 measures have been put in place throughout the venue to keep all participants safe and healthy for the duration of the COP.
Yet on-going restrictions may have made physical participation difficult for some. To ensure a truly inclusive COP, digital participation has been enabled to complement the physical COP negotiations.
For participants, the on-line COP platform can be accessed here.
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www_weatheronline_co_uk_weather_maps_city_LANG_en_CEL_C_SI_mph_MAPS____CONT_asie_LAND_UB_REGION_0025 | climate | SIMILARITY: 0.5117
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www_southernrockiesfirescience_org_research-publications-1_tag_predict_ | climate | SIMILARITY: 0.4323
Climate influences on future fire severity: a synthesis of climate‑fire interactions and impacts on fire regimes, high‑severity fire, and forests in the western United States Continue reading HERE …Continue Reading about Climate influences on future fire severity: a synthesis of climate‑fire interactions and impacts on fire regimes, high‑severity fire, and forests in the western United States |
mesonet2_agron_iastate_edu_sites_hist_phtml_station_S2236_network_SCAN_mode_daily_year_2024_month_7_ | climate | SIMILARITY: 0.4169
Information Last Ob Photographs Meteogram Network Table Neighbors Monthly Summaries Observation History Wind Roses Custom Wind Roses Data Calendar
This table lists out IEM computed daily summary values for this network. These values are derived from available observations and specialized summary products that some of the observation sites produce. The time zone reported for the peak winds are hopefully the local valid time (America/Los_Angeles) at the site. There is a download interface for most of this summary information.
| ID: | Location: | High: | Low: | Min Feels Like[F]: | Max Feels Like [F]: | Min Dew Point [F]: | Max Dew Point [F]: | Rainfall: | Peak Gust: | Time of Gust: | Snowfall: | Snow Depth: |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S0581 | Lindsay | 90.3 | 67.1 | 67.1 | 87.84889 | 52.450756 | 61.087925 | 10 | 11:00 AM | |||
| S0674 | Orchard Range Site | 104.7 | 65.3 | 65.3 | 99.291 | 37.362858 | 46.391354 | 24 | 1:00 PM | |||
| S0808 | Table Mountain | 88.3 | 57.9 | 57.9 | 84.645874 | 37.777897 | 47.45823 | 17 | 2:00 PM | |||
| S2001 | Rodgers Farm | 80.2 | 57.9 | 57.9 | 82.0512 | 57.62054 | 69.81958 | 10 | 11:00 AM | |||
| S2002 | Crescent Lake No1 | 80.6 | 64 | 64 | 83.07984 | 63.131725 | 69.72792 | 11 | 12:00 PM | |||
| S2003 | Wabeno #1 | 73.6 | 55.6 | 55.6 | 73.6 | 47.66656 | 62.814243 | 3 | 12:00 PM | |||
| S2004 | Mason | 80.8 | 65.5 | 65.5 | 82.39978 | 64.167114 | 67.30389 | 7 | 12:00 PM | |||
| S2005 | Princeton #1 | 83.8 | 68.9 | 68.9 | 88.84064 | 64.54276 | 71.24327 | 12 | 2:00 PM | |||
| S2006 | Bushland #1 | 85.5 | 64.9 | 64.9 | 84.873634 | 56.663548 | 64.3035 | 22 | 2:00 PM | |||
| S2008 | Tidewater #1 | 84.2 | 72.9 | 72.9 | 94.928665 | 72.301735 | 77.96076 | 11 | 1:00 AM | |||
| S2009 | Wakulla #1 | 88.5 | 72.9 | 72.9 | 98.78713 | 72.301735 | 78.98153 | 7 | 3:00 PM | |||
| S2011 | Geneva #1 | 80.2 | 61 | 61 | 81.60463 | 53.529747 | 65.28803 | 8 | 12:00 PM | |||
| S2012 | Sellers Lake #1 | 93.9 | 71.8 | 71.8 | 106.762344 | 71.204475 | 78.87221 | 11 | 5:00 PM | |||
| S2013 | Watkinsville #1 | 84.9 | 72.3 | 72.3 | 91.74127 | 71.60008 | 74.40505 | 19 | 3:00 PM | |||
| S2014 | Molly Caren #1 | 79.5 | 59 | 59 | 79.5 | 56.961887 | 64.119865 | 9 | 1:00 PM | |||
| S2015 | Adams Ranch #1 | 77.9 | 58.6 | 58.6 | 77.9 | 49.999123 | 61.891907 | 34 | 5:00 PM | |||
| S2016 | Prairie View #1 | 92.3 | 73.9 | 73.9 | 100.91856 | 66.45799 | 77.80065 | 19 | 6:00 PM | |||
| S2017 | Nunn #1 | 76.3 | 54.7 | 54.7 | 76.3 | 44.76441 | 56.488224 | 26 | 5:00 PM | |||
| S2018 | Torrington #1 | 80.2 | 53.6 | 53.6 | 80.06769 | 43.57797 | 58.49993 | 22 | 2:00 PM | |||
| S2019 | Fort Assiniboine #1 | 89.8 | 61 | 61 | 88.1395 | 52.778328 | 59.489243 | 13 | 4:00 PM | |||
| S2020 | Mandan #1 | 83.3 | 61.5 | 61.5 | 85.261765 | 59.458385 | 66.252365 | 19 | 1:00 AM | |||
| S2021 | Lind #1 | 107.4 | 70.7 | 70.7 | 101.58273 | 29.011955 | 52.079002 | 22 | 5:00 PM | |||
| S2022 | Fort Reno #1 | 82.4 | 67.1 | 67.1 | 85.41652 | 66.51612 | 70.57546 | 16 | 3:00 PM | |||
| S2024 | Goodwin Ck Pasture | 88.9 | 67.6 | 67.6 | 92.999725 | 66.33707 | 72.73271 | 12 | 3:00 PM | |||
| S2025 | Goodwin Ck Timber | 90 | 68.5 | 68.5 | 96.71912 | 67.551315 | 73.54183 | 4 | 11:00 AM | |||
| S2026 | Walnut Gulch #1 | 92.3 | 65.1 | 65.1 | 90.195496 | 54.53364 | 66.31601 | 27 | 5:00 PM | |||
| S2027 | Little River | 86.5 | 72.5 | 72.5 | 98.22631 | 71.60008 | 77.47345 | 15 | 2:00 PM | |||
| S2028 | Mahantango Ck | 86.7 | 64 | 64 | 86.98376 | 59.14977 | 67.90184 | 10 | 4:00 PM | |||
| S2030 | Uapb-Lonoke Farm | 84.4 | 68.2 | 68.2 | 86.59837 | 64.18572 | 72.34467 | 13 | 2:00 PM | |||
| S2031 | Ames | 79.7 | 58.8 | 58.8 | 79.7 | 58.519455 | 67.05493 | 8 | 3:00 PM | |||
| S2032 | Beasley Lake | 89.8 | 68.5 | 68.5 | 96.570595 | 67.70085 | 72.87036 | 10 | 1:00 PM | |||
| S2033 | Onward | 89.8 | 71.8 | 71.8 | 93.44262 | 66.27661 | 75.21382 | 12 | 1:00 PM | |||
| S2034 | Tunica | 89.1 | 68.5 | 68.5 | 93.36387 | 65.657265 | 71.403435 | 13 | 12:00 PM | |||
| S2035 | Vance | 87.8 | 69.1 | 69.1 | 95.871574 | 64.47724 | 75.03728 | 11 | 1:00 PM | |||
| S2036 | Rock Springs Pa | 83.8 | 61.9 | 61.9 | 82.4018 | 47.33706 | 65.267166 | 9 | 1:00 PM | |||
| S2037 | Pee Dee | 89.6 | 73.6 | 73.6 | 99.28343 | 71.83051 | 74.91585 | 14 | 10:00 PM | |||
| S2038 | Youmans Farm | 89.1 | 72 | 72 | 98.63578 | 71.40398 | 76.795 | 12 | 9:00 PM | |||
| S2039 | N Piedmont Arec | 88 | 68 | 68 | 90.338905 | 62.847412 | 71.547646 | 12 | 2:00 PM | |||
| S2041 | Mount Mansfield | 65.5 | 52.5 | 52.5 | 65.5 | 50.192673 | 58.648247 | |||||
| S2042 | Lye Brook | 71.6 | 52 | 52 | 71.6 | 51.452755 | 61.22686 | |||||
| S2043 | Mascoma River | 74.7 | 54.5 | 54.5 | 74.7 | 50.93833 | 59.46038 | |||||
| S2046 | Perthshire | 87.3 | 69.1 | 69.1 | 90.24339 | 64.02331 | 72.53971 | 14 | 2:00 PM | |||
| S2047 | Spickard | 78.3 | 65.7 | 65.7 | 78.3 | 60.826004 | 66.215744 | 11 | 6:00 PM | |||
| S2048 | Dexter | 84.4 | 72 | 72 | 88.200745 | 65.23296 | 69.724075 | 12 | 2:00 PM | |||
| S2049 | Powder Mill | 90.3 | 64.8 | 64.8 | 94.70631 | 64.51217 | 71.74687 | 15 | 5:00 PM | |||
| S2050 | Glacial Ridge | M | M | |||||||||
| S2051 | Everglades ARS | 93.6 | 79.5 | 79.5 | 104.62721 | 74.42081 | 78.38866 | 18 | 3:00 PM | |||
| S2052 | Isabela | M | M | |||||||||
| S2053 | Wtars | 86.4 | 70 | 70 | 93.42208 | 67.58599 | 74.62296 | 26 | 4:00 PM | |||
| S2055 | Hodges | 88.3 | 73.8 | 73.8 | 95.19503 | 69.01143 | 76.49962 | 13 | 3:00 PM | |||
| S2056 | Stanley Farm | 88.3 | 72.1 | 72.1 | 94.982544 | 68.415596 | 74.363655 | 17 | 7:00 PM | |||
| S2057 | AAMU-JTG | 86.9 | 69.6 | 69.6 | 94.982544 | 67.60948 | 74.3502 | 15 | 4:00 PM | |||
| S2060 | Mt Vernon | 75.6 | 65.3 | 65.3 | 75.6 | 61.056107 | 66.04516 | 12 | 4:00 AM | |||
| S2061 | Powell Gardens | 78.8 | 62.8 | 62.8 | 78.8 | 57.42109 | 64.3035 | 10 | 1:00 PM | |||
| S2062 | Moose Inc | M | M | |||||||||
| S2063 | Schor Garden | M | M | |||||||||
| S2064 | Starkville | 89.8 | 74.3 | 74.3 | 96.78596 | 66.73158 | 75.59762 | 16 | 6:00 PM | |||
| S2067 | Bosque Seco | 95.2 | 77.9 | 77.9 | 105.67264 | 68.63571 | 75.72294 | |||||
| S2068 | SHAGBARK HILLS | 80.6 | 61.7 | 61.7 | 82.044106 | 61.12936 | 66.68494 | 7 | 7:00 PM | |||
| S2069 | Hubbard Brook | 73.6 | 60.8 | 60.8 | 73.6 | 50.248993 | 60.498035 | 8 | 9:00 AM | |||
| S2070 | Scott | 88.3 | 70.9 | 70.9 | 93.268684 | 65.54857 | 72.55576 | 12 | 1:00 PM | |||
| S2072 | Eros Data Center | 81.3 | 61 | 61 | 82.43322 | 60.916553 | 68.110725 | 18 | 6:00 PM | |||
| S2075 | McAllister Farm | 86.2 | 69.4 | 69.4 | 91.072 | 68.21023 | 73.18317 | 18 | 4:00 PM | |||
| S2076 | Allen Farms | 90.3 | 70.3 | 70.3 | 95.187614 | 67.97916 | 73.692276 | 13 | 5:00 PM | |||
| S2077 | Eastview Farm | 87.1 | 69.8 | 69.8 | 93.68387 | 68.50223 | 73.00834 | 14 | 5:00 PM | |||
| S2078 | Bragg Farm | 86.7 | 70 | 70 | 93.29552 | 66.665764 | 75.646255 | 26 | 4:00 PM | |||
| S2079 | Mammoth Cave | 85.5 | 69.3 | 69.3 | 90.32352 | 67.39407 | 74.74411 | 8 | 12:00 PM | |||
| S2082 | Tnc Fort Bayou | 85.6 | 73.9 | 73.9 | 96.70742 | 73.19407 | 77.86303 | |||||
| S2083 | Uapb Campus-PB | 85.8 | 66.2 | 66.2 | 87.87368 | 64.23265 | 67.72975 | 16 | 3:00 PM | |||
| S2084 | Uapb-Marianna | 87.4 | 68.4 | 68.4 | 90.055725 | 65.40797 | 71.99389 | 14 | 2:00 PM | |||
| S2085 | Uapb-Earle | 85.1 | 70 | 70 | 91.81165 | 68.06493 | 73.16815 | 11 | 3:00 PM | |||
| S2086 | Silver City | 88.7 | 72 | 72 | 96.18932 | 69.481224 | 76.1006 | 11 | 1:00 PM | |||
| S2087 | North Issaquena | 88.9 | 70.3 | 70.3 | 94.10855 | 67.29842 | 73.55712 | 12 | 1:00 PM | |||
| S2088 | Shenandoah | 83.5 | 63.7 | 63.7 | 84.702415 | 61.772884 | 68.511185 | 13 | 3:00 PM | |||
| S2089 | Reynolds Homestead | 85.3 | 63.3 | 63.3 | 88.24889 | 63.014 | 74.59763 | 7 | 2:00 PM | |||
| S2090 | Uapb Point Remove | 75.6 | 66.7 | 66.7 | 75.6 | 63.87328 | 71.573006 | 11 | 12:00 PM | |||
| S2091 | Uapb Dewitt | 86.7 | 69.6 | 69.6 | 89.2602 | 65.28578 | 70.0758 | 16 | 3:00 PM | |||
| S2092 | Abrams | 83.1 | 66.6 | 66.6 | 84.20226 | 62.4453 | 67.88346 | 17 | 2:00 PM | |||
| S2093 | Phillipsburg | 81.9 | 59.9 | 59.9 | 82.66006 | 59.046783 | 66.26321 | 15 | 4:00 PM | |||
| S2094 | Centralia Lake | 78.3 | 63.7 | 63.7 | 78.3 | 62.3402 | 66.04516 | 12 | 3:00 PM | |||
| S2096 | Kainaliu | 78.4 | 66.4 | 66.4 | 78.4 | 61.11916 | 71.3701 | 10 | 11:00 AM | |||
| S2097 | Kukuihaele | 78.1 | 68 | 68 | 78.1 | 63.325867 | 70.687546 | 19 | 11:00 AM | |||
| S2099 | Waimea Plain | 72.3 | 55.9 | 55.9 | 72.3 | 55.62294 | 66.705734 | 20 | 11:00 PM | |||
| S2101 | Silver Sword | 52.2 | 39.2 | 37.434334 | 52.2 | 22.573656 | 49.236053 | 13 | 7:00 PM | |||
| S2102 | Mana House | 72.7 | 54.1 | 54.1 | 72.7 | 47.129494 | 63.530247 | 18 | 9:00 AM | |||
| S2104 | Reese Center | 85.8 | 62.8 | 62.8 | 84.873634 | 55.939766 | 65.45284 | 24 | 2:00 PM | |||
| S2105 | Levelland | 83.5 | 68.4 | 68.4 | 83.88994 | 59.20895 | 63.906467 | 23 | 11:00 AM | |||
| S2106 | Lehman | 81.3 | 64.2 | 64.2 | 81.98129 | 59.306507 | 65.66062 | 30 | 3:00 PM | |||
| S2107 | Crossroads | 79.7 | 62.8 | 62.8 | 79.7 | 58.99085 | 65.13199 | 29 | 12:00 PM | |||
| S2108 | Willow Wells | 75.9 | 62.6 | 62.6 | 75.9 | 54.935825 | 63.914757 | 31 | 12:00 AM | |||
| S2109 | Sandy Ridge | 88.5 | 70.9 | 70.9 | 91.87275 | 64.84036 | 73.87975 | 13 | 1:00 PM | |||
| S2110 | Mayday | 88 | 71.2 | 71.2 | 95.439575 | 68.19639 | 75.62585 | 12 | 5:00 PM | |||
| S2111 | Johnson Farm | 81.7 | 54.9 | 54.9 | 82.44769 | 54.34581 | 62.61084 | 12 | 11:00 AM | |||
| S2113 | Cullman-NAHRC | 88.5 | 73.6 | 73.6 | 93.509865 | 69.758934 | 74.89413 | 10 | 4:00 PM | |||
| S2114 | Livingston-UWA | 86.9 | 72.3 | 72.3 | 95.890656 | 69.79629 | 76.86546 | 12 | 4:00 PM | |||
| S2115 | Tuskegee | 87.1 | 71.2 | 71.2 | 94.987885 | 70.904305 | 77.79287 | 16 | 3:00 PM | |||
| S2116 | Lovelock NNR | 96.8 | 69.1 | 69.1 | 100.68427 | 48.358063 | 69.0334 | 31 | 9:00 PM | |||
| S2117 | Conrad Ag Rc | 90.5 | 65.5 | 65.5 | 87.50998 | 47.48247 | 53.156036 | 16 | 4:00 PM | |||
| S2118 | Violett | 91.4 | 59 | 59 | 88.680046 | 48.462986 | 53.024887 | 20 | 3:00 PM | |||
| S2119 | Moccasin | 83.3 | 56.7 | 56.7 | 81.123795 | 44.878597 | 54.695484 | 12 | 2:00 PM | |||
| S2120 | Sidney | 90.1 | 62.2 | 62.2 | 89.2876 | 54.99402 | 64.49005 | 13 | 4:00 PM | |||
| S2121 | Jordan | 92.1 | 62.6 | 62.6 | 89.95148 | 51.36261 | 56.595673 | 18 | 2:00 PM | |||
| S2122 | Fortuna | M | M | |||||||||
| S2125 | Circleville | 89.6 | 50.5 | 50.5 | 85.87179 | 41.935833 | 54.617283 | 22 | 1:00 PM | |||
| S2126 | Ephraim | 93.4 | 53.2 | 53.2 | 88.996445 | 35.176414 | 52.323597 | 15 | 6:00 PM | |||
| S2127 | Holden | 99.1 | 59.9 | 59.9 | 95.39382 | 32.701035 | 52.66874 | 16 | 4:00 PM | |||
| S2128 | Enterprise | 96.1 | 58.3 | 58.3 | 91.89745 | 40.402958 | 56.684788 | 23 | 5:00 PM | |||
| S2129 | Milford | 95 | 57.4 | 57.4 | 90.84688 | 36.98882 | 59.123764 | 17 | 4:00 PM | |||
| S2130 | Eastland | 81.7 | 60.6 | 60.6 | 79.9 | 41.43802 | 55.744564 | 21 | 3:00 PM | |||
| S2131 | Green River | 98.1 | 63.5 | 63.5 | 93.41961 | 35.895367 | 55.643944 | 24 | 5:00 PM | |||
| S2132 | Price | 90.7 | 66.2 | 66.2 | 86.59548 | 36.64028 | 44.05076 | 29 | 2:00 PM | |||
| S2133 | Morgan | 91.8 | 56.3 | 56.3 | 87.52946 | 35.88584 | 48.239655 | 16 | 4:00 PM | |||
| S2134 | Mountain Home | 80.2 | 53.4 | 53.4 | 79.9 | 31.06737 | 45.081795 | 18 | 12:00 PM | |||
| S2135 | Blue Creek | 92.7 | 67.1 | 67.1 | 88.34836 | 30.478477 | 42.028862 | 28 | 3:00 AM | |||
| S2136 | Cache Junction | 95.2 | 58.3 | 58.3 | 91.131294 | 41.56769 | 52.09924 | 16 | 9:00 AM | |||
| S2137 | Nephi | 93.7 | 58.5 | 58.5 | 89.23196 | 33.49871 | 48.972958 | 22 | 5:00 PM | |||
| S2138 | Alkali Mesa | 84.4 | 64.4 | 64.4 | 81.743645 | 36.767937 | 63.162857 | 15 | 11:00 AM | |||
| S2139 | West Summit | 81.5 | 58.1 | 58.1 | 79.92731 | 38.197693 | 52.18184 | |||||
| S2140 | Mccracken Mesa | 90.7 | 69.4 | 69.4 | 87.12407 | 42.099228 | 53.590466 | 22 | 4:00 PM | |||
| S2141 | Kyle Canyon | 85.5 | 63.3 | 63.3 | 82.61455 | 38.166058 | 63.64179 | 24 | 7:00 PM | |||
| S2142 | Trough Springs | 83.8 | 65.5 | 65.5 | 81.157616 | 33.87062 | 43.70555 | 15 | 2:00 PM | |||
| S2144 | Pine Nut | 88.3 | 69.1 | 69.1 | 84.860825 | 38.75059 | 48.662243 | 11 | 4:00 PM | |||
| S2145 | Charkiln | 88.2 | 57.9 | 57.9 | 84.62024 | 37.40536 | 55.558117 | |||||
| S2146 | Lovell Summit | 91.2 | 63.3 | 63.3 | 87.322075 | 37.673557 | 46.86689 | |||||
| S2147 | Ku-Nesa | 77.4 | 63.7 | 63.7 | 77.4 | 59.432076 | 64.959236 | 12 | 1:00 PM | |||
| S2148 | Jordan Valley Cwma | 97.5 | 68.5 | 68.5 | 92.824104 | 34.85937 | 51.512897 | 31 | 2:00 PM | |||
| S2149 | Marble Creek | 93.6 | 65.3 | 65.3 | 89.27418 | 36.98882 | 49.120163 | 22 | 3:00 PM | |||
| S2150 | Chicken Ridge | 75.9 | 54.1 | 54.1 | 75.9 | 34.23182 | 44.509335 | 16 | 4:00 PM | |||
| S2151 | Buffalo Jump | 83.1 | 52.7 | 52.7 | 80.54763 | 33.093666 | 44.4337 | 19 | 4:00 PM | |||
| S2152 | Grantsville | 96.6 | 66.9 | 66.9 | 93.057976 | 39.58452 | 53.0355 | 17 | 4:00 PM | |||
| S2153 | Park Valley | 92.1 | 64.6 | 64.6 | 87.94355 | 34.27243 | 41.772427 | 20 | 4:00 PM | |||
| S2154 | Split Mountain | 90 | 63.9 | 63.9 | 86.085594 | 37.52158 | 45.307552 | 22 | 6:00 PM | |||
| S2155 | Little Red Fox | 87.8 | 54.9 | 54.9 | 84.50046 | 38.586994 | 49.27161 | 13 | 12:00 PM | |||
| S2156 | Manderfield | 90 | 54.3 | 54.3 | 86.83222 | 35.786842 | 51.118626 | 18 | 1:00 PM | |||
| S2157 | Panguitch | 85.1 | 46.9 | 46.9 | 82.44378 | 43.349583 | 56.473255 | 22 | 2:00 PM | |||
| S2158 | Spooky | 90.1 | 67.5 | 67.5 | 86.33377 | 41.935833 | 49.31495 | 25 | 2:00 PM | |||
| S2159 | Sand Hollow | 105.6 | 77.7 | 77.7 | 101.86154 | 45.474194 | 54.12858 | 26 | 5:00 PM | |||
| S2160 | Grouse Creek | 90.3 | 59.7 | 59.7 | 86.20054 | 31.373959 | 48.056503 | 32 | 2:00 PM | |||
| S2161 | Cave Valley | 91.4 | 57.7 | 57.7 | 87.69115 | 41.609005 | 50.01037 | 16 | 6:00 PM | |||
| S2162 | Vermillion | 84.6 | 65.8 | 65.8 | 82.3025 | 44.441746 | 51.669834 | 23 | 3:00 PM | |||
| S2163 | Tule Valley | 98.4 | 67.8 | 67.8 | 93.51947 | 33.55381 | 52.790325 | 23 | 3:00 PM | |||
| S2164 | Hals Canyon | 94.6 | 59.2 | 59.2 | 90.03517 | 36.20943 | 61.7871 | 19 | 6:00 PM | |||
| S2165 | Goshute | 94.3 | 57.2 | 57.2 | 89.84407 | 31.853771 | 46.54845 | 19 | 2:00 PM | |||
| S2166 | Harms Way | 84.9 | 61 | 61 | 81.8005 | 26.442656 | 49.069828 | 26 | 5:00 PM | |||
| S2167 | Dugway | 99.5 | 64 | 64 | 94.54681 | 32.019924 | 50.22895 | 28 | 2:00 PM | |||
| S2168 | Jornada Exp Range | 87.8 | 68.7 | 68.7 | 86.6805 | 55.87769 | 64.06595 | 21 | 11:00 PM | |||
| S2169 | Los Lunas PMC | 87.4 | 63 | 63 | 85.27286 | 50.805977 | 63.866596 | 40 | 7:00 PM | |||
| S2171 | Sevilleta | 85.5 | 62.1 | 45 | 7:00 PM | |||||||
| S2172 | Alcalde | 79.9 | 59.7 | 59.7 | 79.9 | 51.37014 | 58.558193 | 24 | 4:00 PM | |||
| S2173 | Isbell Farms | 90.3 | 68 | 68 | 96.11548 | 67.70825 | 74.04881 | 11 | 3:00 PM | |||
| S2174 | Dee River Ranch | 88.5 | 71.2 | 71.2 | 101.010414 | 70.60597 | 77.041595 | 17 | 4:00 PM | |||
| S2175 | Wedowee | 81.5 | 71.6 | 71.6 | 87.37055 | 70.70346 | 76.15349 | 11 | 12:00 AM | |||
| S2176 | Selma | 88.7 | 72 | 72 | 98.21238 | 69.62771 | 75.93029 | 12 | 4:00 PM | |||
| S2177 | Broad Acres | 86.4 | 72.9 | 72.9 | 98.44674 | 71.99858 | 77.5449 | 16 | 3:00 PM | |||
| S2178 | Morris Farms | 87.4 | 72.3 | 72.3 | 98.37989 | 71.79933 | 77.85082 | 15 | 1:00 PM | |||
| S2179 | Sudduth Farms | 91.2 | 70.5 | 70.5 | 95.93193 | 67.816414 | 74.39995 | 13 | 5:00 PM | |||
| S2180 | Koptis Farms | 82.2 | 73.4 | 73.4 | 89.30316 | 72.496704 | 77.66511 | 13 | 9:00 AM | |||
| S2181 | Perdido Riv Farms | 87.6 | 74.8 | 74.8 | 97.5934 | 74.22012 | 77.54542 | 12 | 2:00 PM | |||
| S2182 | River Road Farms | 90.3 | 73.9 | 73.9 | 104.11148 | 73.29924 | 78.052864 | 17 | 1:00 PM | |||
| S2183 | Desert Center | 115.2 | 95 | 94.411285 | 115.60853 | 54.003365 | 63.318645 | 18 | 10:00 PM | |||
| S2184 | Ford Dry Lake | 115.7 | 93.4 | 93.57699 | 115.84558 | 54.947765 | 61.643044 | 24 | 1:00 PM | |||
| S2185 | Essex | 107.8 | 79.5 | 79.5 | 104.49747 | 39.98046 | 67.59552 | 30 | 10:00 PM | |||
| S2186 | Shadow Mtns | 104.4 | 76.5 | 76.5 | 99.83349 | 35.979256 | 46.36502 | 20 | 4:00 PM | |||
| S2187 | Deep Springs | 95.7 | 65.7 | 65.7 | 91.48434 | 40.681374 | 48.323402 | 21 | 3:00 PM | |||
| S2188 | Corozal | 85.1 | 76.6 | 76.6 | 94.52072 | 73.095245 | 77.1703 | 19 | 12:00 PM | |||
| S2189 | Cochora Ranch | 95.2 | 68.4 | 68.4 | 91.305786 | 37.082066 | 47.94823 | 15 | 4:00 PM | |||
| S2190 | Death Valley Jct | 113.4 | 82.6 | 80.7569 | 108.24928 | 42.496086 | 48.410862 | 18 | 3:00 PM | |||
| S2191 | Doe Ridge | 86.2 | 55 | 55 | 82.99164 | 39.72456 | 47.107456 | 20 | 5:00 PM | |||
| S2192 | Eagle Lake | 95.2 | 61.2 | 61.2 | 91.305786 | 44.11215 | 57.461277 | 6 | 10:00 AM | |||
| S2193 | Schell-Osage | 79.9 | 65.7 | 65.7 | 79.9 | 61.079624 | 67.48723 | 11 | 4:00 PM | |||
| S2194 | Journagan Ranch | 76.8 | 62.6 | 62.6 | 76.8 | 60.399506 | 68.28363 | 9 | 8:00 AM | |||
| S2195 | CMRB LTAR | 79 | 61.2 | 61.2 | 79 | 59.285244 | 63.870163 | 10 | 11:00 AM | |||
| S2196 | Platteville | 80.1 | 59.9 | 59.9 | 82.2704 | 59.333736 | 68.390724 | 17 | 4:00 PM | |||
| S2197 | CPER | 77.2 | 55 | 55 | 77.2 | 45.901745 | 57.344746 | 21 | 3:00 PM | |||
| S2198 | Cook Farm Field D | 102.7 | 55 | 55 | 98.19559 | 39.87352 | 56.250587 | 14 | 7:00 PM | |||
| S2199 | Riesel | 89.4 | 72 | 72 | 94.35699 | 66.25686 | 72.221954 | 12 | 12:00 PM | |||
| S2200 | San Angelo | 90.9 | 70.2 | 70.2 | 94.90549 | 63.11411 | 71.19958 | 16 | 2:00 PM | |||
| S2201 | Knox City | 92.7 | 70.3 | 70.3 | 93.44301 | 59.431908 | 68.45192 | 18 | 3:00 PM | |||
| S2202 | Vernon | 88.5 | 69.3 | 69.3 | 91.30007 | 65.09349 | 71.8129 | 19 | 7:00 AM | |||
| S2203 | Stephenville | 88.9 | 73.9 | 73.9 | 95.187614 | 62.685474 | 71.87671 | 15 | 11:00 AM | |||
| S2204 | Uvalde | 99 | 75.7 | 75.7 | 100.118515 | 57.087723 | 72.988655 | 24 | 6:00 PM | |||
| S2205 | Weslaco | 94.8 | 78.6 | 78.6 | 105.44537 | 66.75464 | 78.21995 | 21 | 1:00 PM | |||
| S2206 | Kingsville | 93.7 | 77.7 | 77.7 | 104.18603 | 73.09047 | 77.795425 | 25 | 2:00 PM | |||
| S2207 | Beaumont | 89.8 | 75.7 | 75.7 | 99.42441 | 72.55767 | 77.235985 | 18 | 1:00 PM | |||
| S2212 | Kanuti Lake | 78 | 45 | 10 | 7:00 PM | |||||||
| S2213 | Checkers Creek | M | M | 9 | 4:00 PM | |||||||
| S2214 | Ash Valley | 94.5 | 57.2 | 57.2 | 90.409615 | 39.752613 | 46.810833 | 21 | 4:00 PM | |||
| S2215 | Bodie Hills | 82.9 | 50.2 | 50.2 | 80.758255 | 40.805046 | 55.323334 | 23 | 3:00 PM | |||
| S2216 | Buckhorn | 90.1 | 67.6 | 67.6 | 86.17576 | 39.472115 | 44.8604 | 22 | 2:00 PM | |||
| S2217 | Monocline Ridge | 96.8 | 81.5 | 79.57989 | 94.42195 | 31.466953 | 54.816044 | 18 | 3:00 AM | |||
| S2218 | French Gulch | 93.2 | 67.5 | 67.5 | 89.88979 | 44.272713 | 54.235943 | 11 | 4:00 PM | |||
| S2219 | Stubblefield | 92.8 | 72.5 | 72.5 | 89.11293 | 38.161346 | 49.283016 | 14 | 4:00 PM | |||
| S2220 | Elsberry PMC | 80.2 | 65.8 | 65.8 | 81.392944 | 62.070885 | 67.549904 | 7 | 2:00 PM | |||
| S2223 | Carver Farm | 77.4 | 64.2 | 64.2 | 77.4 | 62.415993 | 68.45348 | 11 | 5:00 PM | |||
| S2224 | Busby Farm | 77.4 | 63 | 63 | 77.4 | 62.714367 | 68.46944 | 9 | 5:00 PM | |||
| S2225 | Mark Twain HS | 77.4 | 64.2 | 64.2 | 77.4 | 61.962994 | 65.75872 | 8 | 7:00 AM | |||
| S2226 | Twin Pines Conservation | 78.1 | 62.6 | 62.6 | 78.1 | 61.148335 | 69.79952 | |||||
| S2227 | Shaw Nature Reserve | 77 | 66.6 | 66.6 | 77 | 64.34788 | 67.933235 | 6 | 2:00 PM | |||
| S2228 | Nacogdoches | 88.3 | 69.1 | 69.1 | 98.10079 | 68.511185 | 76.97238 | 17 | 1:00 PM | |||
| S2229 | Ruby | 91.6 | 45.9 | 45.9 | 87.47701 | 36.76058 | 47.85759 | 19 | 5:00 PM | |||
| S2230 | LTSP | 78.3 | 63 | 63 | 78.3 | 61.044426 | 69.73113 | 2 | 3:00 PM | |||
| S2231 | Sinkin Forest | 75.6 | 63.1 | 63.1 | 75.6 | 59.864372 | 67.88346 | 5 | 8:00 AM | |||
| S2232 | Miradero | 92.1 | 75 | 75 | 107.80782 | 72.23888 | 78.18558 | 15 | 6:00 PM | |||
| S2233 | Thoreau | 80.1 | 55.9 | 55.9 | 79.9 | 46.688904 | 56.073185 | 32 | 6:00 PM | |||
| S2234 | Vallecitos | 99.1 | 65.5 | 65.5 | 95.12145 | 31.718235 | 50.37024 | 16 | 3:00 PM | |||
| S2235 | Adobe | 89.6 | 49.5 | 49.5 | 85.87179 | 37.212833 | 50.34663 | 22 | 7:00 PM | |||
| S2236 | Rancheria | 87.6 | 51.8 | 51.8 | 84.102806 | 40.30119 | 54.59189 | 14 | 5:00 PM | |||
| S2237 | Alabama Hills | 96.6 | 74.5 | 74.5 | 92.419395 | 40.72984 | 48.804348 | 26 | 1:00 PM |
The data presented here provided by IEM API webservice: daily.json. A simple CSV option exists as well. |
www_pkclimateaction_co_uk_event_mental-wellness-resilience-for-the-climate-crisis-with-bob-doppelt-n | climate | SIMILARITY: 0.5551
Mental Wellness & Resilience for the Climate Crisis with Bob Doppelt Nov 21
Online | £0 – £5.98
How can we build universal mental wellness & resilience for the climate crisis?
Increasing global temperatures are producing big disruptions to the systems people rely on for basic needs, mixed with more frequent, extreme, and prolonged disasters.
New thinking and approaches are needed to address the scale and scope of the traumas racing our way. This involves a public health and community-led approach to enhancing and sustaining mental health and wellbeing at a local level.
How might wide and diverse coalitions of local residents, groups, and organisations come together in communities to develop strategies that can help all of us enhance our mental wellness and resilience in the face of the climate crisis?
How can actions to slash local greenhouse gas emissions, regenerate ecological systems, and adapt to climate impacts be integrated into our community initiatives?
SCCAN and SCDC invite Bob Doppelt to help prompt discussion in a Scottish context, with community action, public health and mental wellbeing and resilience as a key focus of his research and work.
Bob Doppelt founded and coordinates the International Transformational Resilience Coalition (ITRC), a network of mental health, social service, climate, faith, and other organisations.
Bob has authored a number of books on the interface between individual, group, community, and social change and ecological regeneration. His newest book Preventing and Healing Climate Trauma: A Guide to Building Resilience and Hope in Communities will be released in early 2023 (Taylor and Francis/Routledge Publishing).
Scottish Communities Development Centre
Scottish Communities Climate Action Network
Please get in touch [email protected] for any inquiries |
emme-care_cyi_ac_cy_new-research-campaign-within-the-context-of-the-edu4climate-project_ | climate | SIMILARITY: 0.4503
New research campaign within the context of the Edu4Climate project
Research scientists of CARE-C at the Cyprus Institute, in collaboration with representatives of RAYMETRICS, partners of the Edu4Climate Horizon project (coordinated by CARE-C), have completed a new research campaign, as part of the Edu4Climate’s objective to co-develop innovative environmental products and services with surrounding ecosystems, in order to address climate-relevant challenges across the EMME region. The campaign took place on 8-31 May, 2024.
A CARE-C team, led by Associate Research Scientist, Dr Maria Kezoudi, and members of the Cyprus Atmospheric Observatory (CAO) and the Unmanned Systems Research Laboratory (USRL) facilities of the Centre, collected data using sensors on Unmanned Aerial Vehicles (UAVs), which were flown at air pollution hotspots in Cyprus. This data will be used to validate new, advanced PMeye lidar technology, which will then be utilised to enhance the accurate measurement of emissions in real-world environmental monitoring scenarios, such as ship plumes and emissions from power plants.
The campaign was organised within the context of the Edu4Climate Horizon programme. The Edu4Climate Consortium received funding of €2 million from the European Commission’s Horizon Europe Coordination & Support Action (CSA) “European Excellence Initiative” (EEI) programme (under grant agreement no. 101071247) for the establishment of a European Higher Education Institutions Network for Climate and Atmospheric Sciences.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or REA. Neither the European Union, nor the granting authority can be held responsible for them. |
www_sitkanature_org_photojournal_2017_03_07_visit-to-sandy-beach_ | climate | SIMILARITY: 0.4048
Despite overcast skies overnight, there was no real warming. As the morning progressed, the overcast thinned out from the north, and by later afternoon, mostly clear skies prevailed.
I did not have much time for getting outside, but did make it out on a brief trip to Sandy Beach to look for some new observations. I was curious about some dark red circles I noticed on rounded boulders partially buried in the sand. I think they could make an interesting subject for some abstract photographs at some point, but did not spend much time with them today.
It is interesting to have such cool temperatures with the sun rapidly gaining strength. Air temperatures are staying below freezing, but there is enough warmth in the sun to melt snow whenever here is any dark surface near or on the the snow. This has lead to some interesting formations of snow/ice where there is a strong melting occurring on the south facing surfaces of snow piles and such. |
www_miclimateaction_org_41504 | climate | SIMILARITY: 0.4696
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spaceengine_org_news_blog170924_ | climate | SIMILARITY: 0.4458
New planet classification 2
Over the past month I continued working on implementing the new planet classification system for SE. The "approved" scheme is the following:
[temperature class] [volatiles class] [mass prefix][bulk composition class]
The temperature class is like in previous versions of SE, but with slightly changed limits:
frigid (90 K) cold (170 K) cool (250 K) temperate (330 K) warm (500 K) hot (1000 K) torrid
This format of notation means that, for example, the temperate class lies between 250 K and 330 K, and torrid is greater than 1000 K. These subdivisions are based on the properties of important substances:
90 K is the limit for the liquefaction of nitrogen, methane and other hydrocarbons found on very cold Titan-like worlds;
170 K is the water snow line in the Solar system and the temperature of outer asteroids in the Main asteroid belt;
250 K is the equilibrium temperature of Earth, and the assumed minimum average temperature of an Earth-like planet which could have temperate zones on its surface (with temperatures above water's freezing point);
330 K is close to the maximum temperature on Earth, and the assumed maximum average temperature of an Earth-like planet which does not fall into a runaway greenhouse effect;
500 K and 1000 K boundaries are arbitrary, and could be adjusted in the future to match some observational or theoretical characteristics of the hottest exoplanets.
The volatiles class is a combined atmosphere + hydrosphere description. It includes:
airless - a planet with an atmospheric pressure less than 1 nanobar;
desertic - a planet with atmospheric pressure greater than 1 nanobar, but with no liquids on its surface;
lacustrine - a planet with a small amount of liquid on its surface (lakes), and, obviously, with an atmosphere (because liquid cannot exist in a vacuum);
marine - a planet with seas of a liquid substance, i.e. a significant amount of it, but not completely covering the surface;
oceanic - a planet with a global ocean, completely covering the surface;
superoceanic - a planet with a very deep ocean (hundreds of kilometers deep), with exotic forms of ice forming on its bottom (ice VI and ice VII).
I will explain this in more detail in the next blog post.
The mass prefix is different for solid and gaseous planets; it is chosen to match the modern astronomical terminology at some points. Here 'Me' is Earth mass, and 'Mj' is Jupiter mass (318 Earth masses).
Solid planets (ferria, carbonia, terra, aquaria):
micro (0.002 Me) mini (0.02 Me) sub (0.2 Me) no prefix (2 Me) super (10 Me) mega
Ice giants (neptunes):
mini (4 Me) sub (10 Me) no prefix (25 Me) super (62.5 Me) mega
Gas giants (jupiters):
sub (0.2 Mj) no prefix (2 Mj) super (10 Mj) mega
The bulk composition classes define the fundamental substances of which the planet is made:
Ferria - metals (iron, nickel) and siderophilic elements such as sulfur. The boundary is > 50% by mass.
Carbonia - carbon and its compounds like carbides, also CO and methane. The boundary is > 25% by mass.
Aquaria - water in the form of exotic ices and liquid (but not vapor or supercritical fluid - that is a minineptune). The boundary is > 25% by mass.
Terra - not ferria, not carbonia and not aqauria. The primary component is silicates (rocks).
Jupiter - hydrogen and helium. The boundary is > 25% by mass.
Neptune - not any of the previous classes. Typically, H/He is less than 25%; other substances are water/ammonia/methane and a rocky core. An aquaria with a supercritical vapor atmosphere is classified as a minineptune/subneptune.
Let me explain why the classification is as such.
The first 4 classes are "terrestrial" or "solid" planets, usually referred as "earths" in astronomy. Currently there is no accepted subdivision by bulk composition like this one, because astronomers can't detect the bulk composition from observations of exoplanets - they can only estimate it based on a computed bulk density. This is enough to distinguish earths, neptunes and jupiters, but intermediate cases are hard to classify (a large water planet is indistinguishable from a small neptune, and a massive neptune is indistinguishable from a small jupiter). The exception is our Solar system - we can measure the density distribution inside a planet or moon by the precise measurement of the motion of a spacecraft near it. Combining this with knowledge about various substances under pressure (and for some planets, using information about the propagation of seismic waves), one can develop a model of the internal structure of a space body. Mercury with its large iron core (60% of the planet mass) should be classified as ferria in SE. This corresponds to a theoretical iron planet. Venus, Earth, Mars, the Moon, and Io are classified as terra (Earth is a marine terra); other moons of gas giants and all dwarf planets are aquaria. Ceres and Europa are complex cases - they are on the boundary between terra and aquaria (about 25% of water and ice). Uranus and Neptune are neptunes, Jupiter and Saturn and jupiters. No carbonia worlds exist in the Solar system; this class is the theoretical carbon planet. Aquaria corresponds to the theoretical water or ocean planet, if it is warm enough to melt the icy crust; otherwise it corresponds with an ice planet.
The most used mass/size prefixes in modern astronomy are super- and sub- for solid planets. The upper boundary of 10 Earth masses for super-earths is well defined, while the lower boundary differs in various sources. For SE I chose 2 Earth masses to make the scale more regular. There is speculation about the existence of more massive solid planets called mega-earths. Possible candidate mega-earths are Kepler-10c and K2-3d, although recent re-estimations of their masses have moved them back to the super-earth class. The boundaries of the sub-earth class (in some sources called mini-earth) are also not well defined in literature; I chose it to be between 0.02 and 0.2 Earth masses so both Mercury and Mars fall into this class, but the Moon does not. Interestingly, Ganymede and Titan are also in the sub-earth class (they are subaquarias). The "mini" class is added to SE for planets less massive than 0.02 Earth masses; this is between the mass of the Moon and Ganymede. And the "micro" class is for the tiniest objects, which still have a round shape and should be classified as planets/dwarf planets/moons, unlike irregularly-shaped asteroids. The boundary of 0.002 Earth masses is arbitrary, just to make the scale uniform.
There is no sharp boundary between asteroids and "planetoids", because it depends on composition, tidal heating and the history of the body. For example, Ceres has a mass of 0.0001566 Earths and a round shape, while the asteroid Vesta is 0.0000432 and non-round. So we could assume that the boundary for rocky asteroids is near 0.0001 Earth masses. But we have a counter-example: Mimas (Saturn's moon) is just 0.0000062 Earths and round, while Proteus (Neptune's moon) is slightly more massive - 0.0000083 Earths, and has an irregular shape. So the boundary for icy bodies cannot be defined by their mass only. For now, SE generates a slightly randomized boundary for each procedural body, about 0.0001 Earth masses for rocky objects and 0.000006 Earth masses for icy ones.
Ice giants, or "neptunes", are planets formed mainly from water/ammonia/methane ices (in fact as a supercritical fluid) and often with a thick atmosphere of hydrogen and helium, up to 25% of their mass. But they can also be very massive rocky planets (more than 10 Earth masses) that have a supercritical atmosphere (that is, in a state of supercritical fluid with enormous pressures and temperatures of thousands of degrees). Therefore the term "neptune" looks more appropriate than "ice giant"; it also eliminates confusion from names like "hot ice giant". Neptunes in SE have their own size prefix scale, overlapping with the classes of solid planets. The subdivision by mass is arbitrary, but astronomers often distinguish mini-neptunes into a separate class - those are small planets with extremely low bulk density (typically, rocky or water planets with a thick supercritical atmosphere). It corresponds to both the mini- and sub- classes in SE, but this additional subdivision is done for clarity (more details in the next blog post). The mega-neptunes are theoretical planets more massive than the smallest gas giants (~60 Earth masses), but composed predominantly of ices, not of hydrogen and helium. The overall scale is logarithmic with a 2.5 step: 4-10-25-62.5
Unlike ice giants, gas giants or "jupiters" are composed predominantly of hydrogen and helium. Hydrogen forms a metallic layer deep inside the planet. Saturn-mass planets are sometimes called "sub-jupiters" or "sub-giants", or even "saturns". So 0.2 Jupiter masses is a good choice for this class boundary (the mass of Saturn is 0.3 Jupiter masses). 0.2 Jupiter masses is roughly equal to 60 Earth masses, so the sub-jupiter class overlaps with the mega-neptune class. This emphasizes the difference in the nature of these two types of planets. The mass of 2 Jupiters is around the theoretical limit for the largest (by radius) planet. More massive gas giants are smaller because of the compression of gas by their enormous gravity. Such planets are called super-jupiters in this classification. And the most massive giants of more than 10 Jupiter masses are called mega-jupiters - they are close to the brown dwarf mass limit (13 Jupiters). Technically, brown dwarfs which have run out of deuterium fuel could be classified as extremely massive planets, so the mega-jupiter class could be used for them in future updates (for now SE doesn't model the evolution of brown dwarfs, and so can't determine if fusion already stopped). Super-jupiters and mega-jupiters in SE correspond to super-jupiters in literature, although there are huge differences in the definition of this class in various sources. The size prefix scale of gas giants resembles the scale of solid planets, so one can add the mini-jupiter class by analogy - planets with a mass lower than 0.02 Jupiters (about 6 Earth masses). It is doubtful that such small gas giants could exist in reality. The SE planet generator also don't produce them.
This classification resembles one proposed by the Planetary Habitability Laboratory.
Changes in the engine made to support the new classification system include adding the bulk composition data into planet scripts. SE generates it procedurally if it's missing, but for the Solar system's planets and moons we want to have real data. This data is displayed in the Wiki. Note the new "Hydrosphere" tab - it displays information about seas, including their chemical composition (this is a topic for the next blog post). The procedural planet generator now creates all of the types of planets described above, including mini-neptunes, carbonias and even frozen terras. |
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deepai_org_profile_paula-harder | climate | SIMILARITY: 0.4735
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www_magcloud_com_browse_issue_64421 | climate | SIMILARITY: 0.4252
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Issue on International eco-policy and its relationship to art and culture, featuring work from Copenhagen during the United Nation's conference on climate change in December, 2009. Contributors include: Jessica Broderick Lewis, Ian Garrett, Aviva Rahmani, Miranda Wright, David Berridge, Rachel Lois Clapham, Alex Eisenberg, Mary Paterson, Martin Farrell, Martin Rosengaard, Olaf Gerlach-Hansen, Juhi Shareef, and Jon Stancato. |
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secret-ph_com_discovering-the-philippines-weather-what-to-expect-in-every-season_ | climate | SIMILARITY: 0.4554
The Philippines is a tropical country with a wide variety of climates to explore. The weather plays an important role in the day-to-day lives of its inhabitants, so it’s essential to plan your trip accordingly. Depending on where you’re visiting and when, you can expect different temperatures, rainfall patterns, and other natural phenomena.
The Philippines has a tropical climate with two seasons: dry (Dec-May) and wet (Jun-Nov). The dry season has clear skies and warm temperatures, while the wet season brings heavy rain and typhoons. The transitional seasons (Nov-Feb, May-Jun) offer a mix of both. There are also regional variations. Planning accordingly is crucial.
This guide provides an overview of the weather patterns in different regions of the Philippines and advice on when to best visit. With some knowledge of what to expect, travelers can take full advantage of their time in this beautiful country!
The Climate of the Philippines
The Philippines is a tropical country located in Southeast Asia. Due to its geographic location and topography, the country experiences a unique tropical climate with varying temperature and precipitation patterns. In this article, we will explore the different subheadings of climate in the Philippines.
Temperature
The average temperature in the Philippines ranges from 25 to 32 degrees Celsius. However, the temperature can get as high as 38 degrees Celsius in the months of April and May during the summer season. The coolest temperature is usually recorded during the months of December and January, with an average of around 20 degrees Celsius in the highlands.
Humidity
The country experiences a very high level of humidity, especially during the rainy season from June to October. This is due to the country’s location near the equator and its surrounding bodies of water.
Rainfall
The Philippines has a rainy and dry season. The rainy season usually starts from June to October, characterized by heavy rains and occasional typhoons. The dry season, on the other hand, lasts from November to May with occasional showers. The average annual rainfall in the Philippines is around 2,400 millimeters, but some areas can receive as much as 4,500 millimeters in a year.
Typhoons
The Philippines is one of the most typhoon-prone countries in the world due to its location in the Pacific Ring of Fire. Typhoons usually occur during the rainy season and can cause severe damage and loss of life. On average, the country experiences at least 20 typhoons per year.
Climate Change
The Philippines is one of the countries most vulnerable to climate change. The increase in global temperature and sea level rise can lead to more intense and frequent typhoons, flooding, and other climate-related disasters. The government and various organizations in the country are taking steps to mitigate and adapt to the effects of climate change.
Weather in the Dry Season (December to May)
The dry season in the Philippines typically runs from December to May, and it is a time of year when the weather can be hot and dry. The Philippines is a tropical country, so temperatures rarely drop below the mid-20s Celsius, even at night.
During the dry season, temperatures can often reach 30°C or higher, with humidity levels making it feel even hotter. This can be tough for those not used to the heat, so it is important to stay hydrated and avoid being outside during the hottest parts of the day.
While rain is less common during the dry season, it can still occur, particularly in the early part of the season. However, when it does rain, it is typically short-lived and quickly followed by sunshine.
Despite the high temperatures, many people still enjoy the dry season, particularly for beach trips and water-based activities. With crystal-clear waters and some of the most beautiful beaches in the world, the Philippines is a popular destination for water sports such as snorkeling, diving, and surfing.
Weather in the Wet Season (June to November)
The wet season in the Philippines starts in June and lasts until November. During this time, the country experiences heavy rainfall and strong winds, affecting various areas around the country.
The weather during this period can be unpredictable, with thunderstorms and flooding occurring frequently in some areas. The Philippines is commonly hit by typhoons, which can cause significant damage to infrastructure and agriculture.
The wet season also brings cooler temperatures, making it a relief from the scorching heat of the summer season. However, travelers should be prepared for sudden and heavy downpours if planning a trip during this time.
Despite the challenges that come with the wet season, it does have some positive effects on the climate. The increased rainfall supports the agriculture industry, with rice paddies and other crops receiving significant amounts of water that help with their growth. The wet season also replenishes the country’s water supply in preparation for the dry season.
Weather in the Transitional Seasons (November to February and May to June)
The Philippines is a country situated in the Southeast Asia region that experiences a tropical climate throughout the year. However, during the transitional seasons, which occur from November to February and May to June, the weather in the Philippines varies significantly.
During the months of November to February, the country experiences cooler weather due to the Northeast Monsoon, which typically brings in cold and dry winds from the north. This period is also known as the “Amihan” season. Temperatures can drop as low as 20°C in some areas, especially in the northern and mountainous regions of the country.
On the other hand, the transitional season from May to June, known as the “Tag-init” or dry season, is characterized by warmer temperatures and less rainfall. The Philippines experiences the highest temperatures and humidity levels during this period. It’s a time when the country usually prepares for the incoming monsoon season that will bring rain for the rest of the year.
Regional Weather Variations
The Philippines is a large country with varying climates and weather patterns. Different regions experience different conditions depending on their geographic location, elevation, and local topography. This guide provides an overview of the regional variations in climate throughout the Philippines.
Northern Luzon
Northern Luzon is located close to Taiwan and experiences a tropical monsoon climate. The region is typically cooler and wetter than other parts of the country, with high levels of rainfall all year round. Temperatures average between 23°C and 30°C, but can drop to as low as 15°C in the mountainous areas.
Central Luzon
Central Luzon is located close to Manila and experiences a humid subtropical climate. The region is hot and dry during the summer months, with temperatures ranging from 22°C to 35°C. During the wet season, which usually runs from June to October, rainfall is frequent and can often cause flooding in low-lying areas.
Visayas
The Visayas region consists of several islands, including Cebu, Leyte, and Bohol. The climate here is tropical with temperatures ranging from 23°C to 34°C all year round. Rainfall varies across the region, with eastern and southern parts experiencing higher levels of precipitation than western areas.
Mindanao
The southern island of Mindanao is known for its hot and humid climate. Temperatures in the region typically range from 25°C to 34°C but can reach up to 38°C in some areas during the summer months. Mindanao experiences heavy rainfall throughout the year, with typhoons occurring more frequently than in other parts of the country.
Best Time to Visit the Philippines
The Philippines, known for its tropical climate, beautiful beaches, and friendly people, attracts tourists from around the world. With more than 7,000 islands, the country offers a diverse range of attractions, making it a popular destination year-round. However, understanding the best time to visit can help you avoid crowds, save money, and make the most of your trip.
Peak Season (December to April)
The peak season in the Philippines runs from December to April when the weather is dry and temperatures are mild. This is the best time to visit if you want to enjoy outdoor activities such as island hopping, snorkeling, and surfing.
Low Season (May to November)
The low season in the Philippines is from May to November when the country experiences heavy rainfall and occasional typhoons. Despite the wet weather, this can be an ideal time to visit if you’re looking for lower prices, fewer crowds, and a more relaxed atmosphere.
Shoulder Season (November to February and May to June)
The shoulder seasons in the Philippines, from November to February and May to June, offer a mix of both dry and wet weather. This can be an excellent time to visit if you’re looking to avoid peak-season crowds but still want to enjoy the outdoors.
Preparing for Your Trip
Preparing for a trip to the Philippines can be both exciting and overwhelming. With thousands of islands to explore, diverse cultures to experience, and delicious food to try, there’s a lot to consider before you depart. Here are some essential tips to help you prepare for your trip to the Philippines.
Get Your Documents in Order: Before traveling to the Philippines, ensure that you have all the necessary documents in order, including your passport, visa (if required), and travel insurance.
Learn Some Basic Phrases in Filipino: The national language in the Philippines is Filipino, so learning some basic phrases can be helpful. English is also widely spoken, especially in tourist areas, but knowing a few words in Filipino can make your trip more enjoyable.
Pack for the Weather: The Philippines has a tropical climate, so pack light, breathable clothing suitable for hot and humid weather. Bring comfortable footwear, a hat, sunglasses, and sunscreen.
Research Your Destinations: The Philippines has numerous tourist destinations, each with its own unique attractions and activities. Research the places you want to visit to make the most of your trip.
Money Matters: The official currency in the Philippines is the Philippine peso (PHP). ATMs are widely available, but it’s a good idea to carry some cash, especially when traveling to rural areas.
Stay Safe and Healthy: The Philippines is a relatively safe country, but like any other place, it’s important to take precautions. Stay aware of your surroundings and avoid carrying large amounts of cash or valuables. Also, make sure you have up-to-date vaccinations and bring any necessary medications.
In conclusion
The Philippines is a beautiful country with a diverse range of climates. From hot and humid in Mindanao to cool and dry in Northern Luzon, there are many regional variations throughout the country. To make the most of your trip, it’s important to research your destination ahead of time to understand its climate and prepare for any weather-related surprises.
With the right planning and preparation, you can have a memorable and enjoyable experience in the Philippines. No matter when you visit, you’re sure to find something new and exciting around every corner. |
www_heatherconnblogs_com_2012_09_ | climate | SIMILARITY: 0.5025
Anyone who thinks that human activity and industry have little or no impact on global warming needs to see the astounding 2012 documentary Chasing Ice. (This movie was screened last week at The Heritage Theatre in Gibsons, BC as part of the Sunshine Coast’s excellent Green Films series.)
National Geographic nature photographer James Balog, a former geologist who was himself a skeptic about climate change, uses truly disturbing Arctic footage to prove how quickly the world’s glaciers are indeed receding. With the help of young male assistants, some of whom have never even worn crampons, he sets up Nikon time-lapse cameras in Arctic glacial fields in places such as Iceland and Greenland and checks them after a six-month interval.
What he discovers surprises even him. When he initially holds up a photo taken a half-year earlier of a glacial landscape that stretches in front of him, he thinks that he must be looking at a different location. He can’t believe how much ice has disappeared in such a short time. But when he rechecks the contours, he confirms that yes, it is the same spot.
As part of his self-created Extreme Ice Survey, Balog crawls onto high, fragile ice shelves to shoot straight into a crevasse. He ropes himself to the shoreline while taking stills of glacier-fed waves smashing onto ice floes. He scales and belays down steep walls of ice, all the while in pain from a much-operated-on knee which doctors say he shouldn’t even be walking on. His eldest daughter says she’s never seen her father so passionate about any project.
The most visceral scenes, besides Balog’s own stunning imagery of glaciers and Arctic ice, are the outlines on a topographical diagram that carve out how much polar ice has disappeared in the last 10 years, compared to the previous century. After managing to film one ice peninsula, the length of five football fields, breaking off, Balog is inspired to capture the same activity at one of the world’s largest glaciers in the Arctic.
He assigns two young assistants, stranded amidst frozen oblivion for two weeks, to keep a camera trained on this glacier. Sadly for us and the planet, and yet fortuitously for the filmmakers, the monumental wall of ice, higher and far bigger than the entire Manhattan skyline, rises up 600 feet, turns on its side, and “calves” (breaks) off. The process takes an hour.
I think that this remarkable, 75-minute documentary should be required viewing in all schools and workplaces.
With multi-festival awards from Sundance and Telluride to Hot Docs, it offers beautiful cinematography by director/co-producer Jeff Orlowski. Editor Davis Coombe does an excellent job of weaving together Balog’s stills with his indoor public appearances and footage from helicopters, dogsled and canoe. Both writer Mark Monroe and co-producer Paula Du Pre Pesmen, repeat their respective roles from the Academy-award-winning documentary The Cove about the slaughter of dolphins.
Some critics charge that Chasing Ice is more emotion than science, but researchers interviewed in the film confirm Balog’s findings. The documentary doesn’t give a platform to the political naysayers who dismiss global warming, yet its website provides a list of top 10 questions that people ask about climate change. The site also provides the resource skepticalscience.com.
Meanwhile, veteran Arctic researcher David Barber, director of the Centre for Earth Observation Science at the University of Manitoba, warns that North Pole ice, which used to be considered impenetrable, is now more like Swiss cheese. When he first visited the Arctic in the 1980s, the ice there usually receded only about a few kilometres offshore by the end of the summer. Today, he must travel more than 1,000 kilometres north into the Beaufort Sea to even find the ice.
James Hansen, a climate scientist with NASA, says: “The scientific community realizes that we have a planetary emergency.” Peter Wadhams, one of the world’s top ice experts from Cambridge University, told The Guardian this month that Arctic sea ice will collapse within four years (in the summer months), calling this “a global disaster.”
Here in British Columbia, the Sierra Club recently announced that the province’s 2010 carbon emissions are four times higher than those reported by the provincial government last June. The B.C. Liberals stated then that 2010 emissions had dropped by 4.5 percent to 62 million tonnes. But the Sierra Club report “Emissions Impossible?” reveals that these emissions total more than 250 million tonnes, when emissions from fossil fuel exports and forests are included. Click here to read more at Sierra Club BC.
What can you do? Stay informed. Ask how your lifestyle and purchasing choices affect global warming. Join groups such as Bill McKibben’s 350.org and support the ones that are educators and advocates for the planet, including scientists and politicians.
Join with like-minded others. Calculate your ecological footprint. Drive less or not at all. Walk and bike. |
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| Difficulty | |||
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| Kind | Speech | ||
| Duration | 14 minutes | ||
| Language | English | ||
| Speaker | Barack Obama | ||
| Themes | environment climate change cop21 | ||
| Suitable for | Simultaneous | ||
| Event | COP 21 | ||
| Event year | 2015 | ||
| Description | President Obama delivers remarks at COP21 in Paris on the global community's need to address the threat of climate change. November 30, 2015. | ||
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| Video | # 1 Published on Youtube by The White House | |
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tabertimes_com_sports_2019_05_22_scope-questioned-for-fourth-diamond-project_ | climate | SIMILARITY: 0.4368
Current Temperature
-26.0°C
By Trevor Busch
Taber Times
[email protected]
Although town council’s May 9 resolution to release funds and allow the Baseball-Softball Enhancement Society to move construction forward on a fourth ball diamond at Ken McDonald Memorial Sports Park was rescinded last week, discussion at the special meeting had touched on the scope of the project and its original intent.
In 2018, the project was reviewed by the Taber Recreation Board and later presented to council, and following deliberations for the 2019 capital budget, council had approved $250,000 for the construction of a fourth ball diamond at KMMSP.
In April 2019, the rec board had signed off on a plan to allow M.D. of Taber volunteers to begin the preliminary dirt work at the site, but asked for further information to be presented with regard to the society’s budget and actual costs before taking more action. In May, the society had presented a budget to the rec board while requesting council “meet at their earliest convenience” or hold a special meeting to approve funds for the project.
At the same meeting, administration was seeking direction from council with regard to how to “move this project forward given the past intent and the current context of the project.” Concerns had also arisen among council and administration that the society’s intent in completing the fourth ball diamond had drifted into the consideration of multiple projects not specifically associated with the diamond itself.
“We’ve had Ken Mac sports field for over 20 years as an uncompleted place for all of our user groups to use,” said society president Suzanne Peters on May 9. “We have to haul out porta-potties every year, there’s no shade. It’s just not a desired location in town for user groups to use. Baseball and softball is one of the user groups that’s actually using it at all ages… it’s not just to complete the one diamond in our vision. And this is why we formed the society. If we just want to do the one diamond, that’s I guess your guy’s decision, but we’re looking at the bigger picture to finish this facility that’s been sitting there unfinished for over 20 years.”
According to a Stantec Engineering report from May 2015 included as part of the May 9 meeting’s agenda package, construction of a fourth diamond was expected to cost $382,311.75, consisting of $14,500 for overall site preparation, $254,145 for field construction, $38,800 for the stadium area, and $25,000 in consulting fees.
Information in a May 2019 phase one project budget from the society indicates that various donations and discounted quotes have significantly reduced costs from previous estimates. According to the society’s numbers, for spring work currently underway the Municipal District of Taber has contributed $48,000 in ground work, while other quotes for hydro seed have come in at $7,000 (previous quote $63,480 for sod), $28,471 for fencing (previous quote $68,000), and sprinklers $6,500 (previous quote $50,000). This totals $41,971 (previous combined quotes $120,280).
Planned summer work includes shale (estimated at $63,000), drainage tile and geo-textile $4,700 (previous quote $20,640), dugouts (estimated at $12,000), bleachers and gravel pads (estimated at $18,000), jock box (estimated at $1,200), and bases and home plate (estimated at $5,000). This would result in $145,817 spent from the town’s previously allocated.
“You made a comment about doing more than just the fourth diamond,” said Coun. Joe Strojwas. “It’s my understanding we allocated $250,000 specifically to complete that diamond. Now it’s my understanding you want to change the goalposts on that?”
Society treasurer Rick Popadynetz responded that the group’s intention was to push forward with multiple projects as part of a phase two development.
“What we want to do — and we brought it to your attention last year at the March 26 meeting, and you guys agreed to move forward with this project. We’re moving forward, and we’re going to save money, but we want to roll that money into the next phase where we can maybe connect a sewer line through into our concession into bathrooms out there, and showers for the park. The football association is interested in helping out and working with us to put water to their facilities to make their concession a little bit better. The other thing would be to connect sewer to the air cadet hall to offset the cost of a sump program, to have guys coming in to suck out the sewage and septic tanks.”
“So we want to roll that money that we’ve saved from that $250,000 into our phase two, and then if we have however much funding from our sponsorship, we’d like to keep rolling that money so we can get more done, a bigger bang for your buck.”
Strojwas immediately questioned if the public funds that had been approved by the town were being applied to the project for which they had been allocated by council.
“I appreciate your foresight in wanting to move, but the funds — the way I understand it — were specifically committed to the completion of that fourth diamond. If it’s going to go further than that, and we’re going to start putting other infrastructure in there, I think council needs to re-evaluate the commitment that they made for that $250,000, because I don’t think you can just take money and allocate it to a different project, because that project was project-specific for that fourth diamond.”
Coun. Louie Tams agreed.
“I understood it exactly the same way that Councillor Strojwas does, the $250,000 was earmarked for the completion of a fourth diamond. I think we need to concentrate on that first before we move ahead with anything further, because now we’re taking on a different project.”
Peters had reiterated her position that the society’s goals include finishing much more than the fourth ball diamond.
“I agree with you completely,” said Strojwas. “I suggest that you go back to your society and draw up plans — your vision for the future — and make a presentation to the rec board and come back for a different kind of funding. I don’t think we can cross-reference on this, I really don’t. I understand fully that it needs to be completed out there, but we need to do it in a progressive manner, we just can’t allocate funds for infrastructure and different things. I would suggest very heartily to you folks that you finish this fourth diamond with the funds that you’ve got — and you’ve done an excellent job, because I’ve seen the projections from back in 2015 — but I think you should proceed, finish this project and then come back with a separate proposal.”
Popadynetz replied that had always been the intention of the group.
“That’s exactly what we had planned. So we’re on the same page with that. But if we come in under budget, rather than taking those funds and moving it to a different project, we’d like to — as a sign of good faith — hold on to that funding, whatever is left, and use it on phase two.”
Referencing Popadynetz’s past history as a town councillor, Strojwas pointed out that council needs to review the funds before any further action is taken.
“I fully understand what you’re doing, and you’re doing a great thing here. But you’ve sat on this side of the table and you know the funds have to come back to council, and council will have to re-evaluate those funds as to where they’re going. But I would support a rollover of that money in the future.”
Intervening on the side of the group, Coun. Carly Firth viewed the rollover request as reasonable considering the cost savings involved with the project from the town’s perspective.
“I think because we’ve already budgeted that $250,000, it only makes sense to keep that money in — you’ve been responsible enough to be able to do it for significantly less than what was budgeted before.”
Coun. Garth Bekkering agreed with Strojwas on the issue.
“Regarding phase two, or the balance of the funds that might be left over, I agree… that money can’t just be thrown around the way you wish, it has to come back to council and we have to proceed from there. Because it is different infrastructure.”
Coun. Mark Garner was also hesitant to make any commitments about rolling over unused funds until council has a chance to review those figures.
“We’re talking two different breeds of cat here. One is with infrastructure, when you start dealing with pipelines and sewage and that kind of thing, I don’t think we have the expertise, or your group has the expertise to do that. I am definitely in favour of giving a full green light to finish off what you wanted to finish, but I think we have to review that before we proceed to the next step. They’re all baby steps, we just have to get to step one before we get to step two, and step three.”
Betraying a degree of frustration with this line of discussion, Peters again outlined that the organization intends to complete more than just the fourth diamond at the park.
“I feel like as a society, trying to help get this diamond built at decreased cost to the town, is that we’re doing all this extra work so that we were hoping to complete the whole park, not just the diamond. For us to continue on as volunteers to save the town money to get this done, it kind of loses the purpose of what our organization is doing this for.”
Coun. Louie Tams attempted to explain the situation from the perspective of council and the taxpayers they represent.
“I hear what you’re saying, and council is not saying no. Council is saying is what we have in front of us is the cost factors for stage one to build a fourth diamond quad, and your estimates are there. But the estimates for the rest of it aren’t there. I can speak only for myself, it’s not that we’re opposed, but there’s proper steps that we have to take. It’s not even our money, it’s the taxpayer’s money, and we’re entrusted to spend that money properly. We don’t have the ability as a town council — as much as we might like to say here’s a blank cheque, go get it done because we know you do a great job — but we’re entrusted with that money on behalf of the citizens of the town, so for us to just say here’s phase one, and we’re going to guarantee you phase two, I think we need to have phase two in front of us.”
Administration’s recommended motion, to accept the information provided by the Baseball-Softball Enhancement Society and request administration provide supplementary information and deliberation in closed session at council’s May 13 meeting, was declined by council, while the actual resolution passed on May 9 releasing funds for the project would be rescinded following in camera discussion on May 13.
Administration would also highlight the “increase in service level with the addition of a fourth diamond” as well as the development of the diamond requiring “additional staff resources for the coordination of the project.”
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www_diving_eu_showpage-united_kingdom-climate_html | climate | SIMILARITY: 0.4355
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wx_aamu_edu_daymet_php_KGAD_2008_1_2 | climate | SIMILARITY: 0.4116
| Date/Time (GMT) | Temp | DewPt | RelH | Wind | Gust | Dir | Prcp | Pres |
| 1/2/2008 00:15:00 | -2.0 | -15.0 | 0.0 | 16.6 | 33 | 320 | 0.0 | 1030.8 |
| 1/2/2008 00:35:00 | -2.0 | -16.0 | 0.0 | 20.3 | 31 | 310 | 0.0 | 1031.2 |
| 1/2/2008 00:55:00 | -2.0 | -16.0 | 0.0 | 18.4 | 26 | 330 | 0.0 | 1031.2 |
| 1/2/2008 01:15:00 | -3.0 | -16.0 | 0.0 | 18.4 | 35 | 330 | 0.0 | 1031.2 |
| 1/2/2008 01:35:00 | -3.0 | -16.0 | 0.0 | 22.1 | 29 | 340 | 0.0 | 1031.5 |
| 1/2/2008 01:55:00 | -3.0 | -16.0 | 0.0 | 16.6 | 0 | 320 | 0.0 | 1031.5 |
| 1/2/2008 02:15:00 | -3.0 | -16.0 | 0.0 | 24.0 | 35 | 310 | 0.0 | 1031.5 |
| 1/2/2008 02:35:00 | -4.0 | -16.0 | 0.0 | 18.4 | 0 | 320 | 0.0 | 1031.8 |
| 1/2/2008 02:55:00 | -4.0 | -16.0 | 0.0 | 16.6 | 28 | 320 | 0.0 | 1032.2 |
| 1/2/2008 03:15:00 | -4.0 | -16.0 | 0.0 | 13.0 | 31 | 330 | 0.0 | 1032.2 |
| 1/2/2008 03:35:00 | -4.0 | -16.0 | 0.0 | 14.7 | 29 | 310 | 0.0 | 1032.2 |
| 1/2/2008 03:55:00 | -4.0 | -16.0 | 0.0 | 14.7 | 29 | 320 | 0.0 | 1032.5 |
| 1/2/2008 04:15:00 | -5.0 | -17.0 | 0.0 | 16.6 | 0 | 320 | 0.0 | 1032.8 |
| 1/2/2008 04:35:00 | -5.0 | -17.0 | 0.0 | 18.4 | 29 | 310 | 0.0 | 1033.2 |
| 1/2/2008 04:55:00 | -6.0 | -17.0 | 0.0 | 13.0 | 0 | 320 | 0.0 | 1033.5 |
| 1/2/2008 05:15:00 | -6.0 | -17.0 | 0.0 | 14.7 | 0 | 320 | 0.0 | 1033.9 |
| 1/2/2008 05:35:00 | -6.0 | -17.0 | 0.0 | 14.7 | 26 | 310 | 0.0 | 1033.9 |
| 1/2/2008 05:55:00 | -6.0 | -16.0 | 0.0 | 16.6 | 0 | 320 | 0.0 | 1034.2 |
| 1/2/2008 06:15:00 | -6.0 | -16.0 | 0.0 | 9.3 | 26 | 300 | 0.0 | 1034.5 |
| 1/2/2008 06:35:00 | -6.0 | -17.0 | 0.0 | 13.0 | 0 | 320 | 0.0 | 1034.9 |
| 1/2/2008 06:55:00 | -7.0 | -16.0 | 0.0 | 7.4 | 0 | 300 | 0.0 | 1035.2 |
| 1/2/2008 07:15:00 | -6.0 | -16.0 | 0.0 | 22.1 | 29 | 310 | 0.0 | 1035.2 |
| 1/2/2008 07:35:00 | -6.0 | -16.0 | 0.0 | 24.0 | 0 | 320 | 0.0 | 1035.6 |
| 1/2/2008 07:55:00 | -6.0 | -16.0 | 0.0 | 22.1 | 42 | 320 | 0.0 | 1035.9 |
| 1/2/2008 08:15:00 | -6.0 | -16.0 | 0.0 | 25.8 | 33 | 320 | 0.0 | 1036.2 |
| 1/2/2008 08:35:00 | -5.0 | -16.0 | 0.0 | 24.0 | 39 | 330 | 0.0 | 1036.2 |
| 1/2/2008 08:55:00 | -5.0 | -15.0 | 0.0 | 18.4 | 28 | 320 | 0.0 | 1036.6 |
| 1/2/2008 09:15:00 | -4.0 | -14.0 | 0.0 | 16.6 | 31 | 350 | 0.0 | 1036.9 |
| 1/2/2008 09:35:00 | -4.0 | -15.0 | 0.0 | 22.1 | 35 | 340 | 0.0 | 1037.3 |
| 1/2/2008 09:55:00 | -4.0 | -15.0 | 0.0 | 25.8 | 33 | 310 | 0.0 | 1037.3 |
| 1/2/2008 10:15:00 | -4.0 | -14.0 | 0.0 | 24.0 | 31 | 320 | 0.0 | 1037.6 |
| 1/2/2008 10:55:00 | -3.0 | -14.0 | 0.0 | 27.7 | 42 | 340 | 0.0 | 1037.6 |
| 1/2/2008 11:15:00 | -3.0 | -15.0 | 0.0 | 16.6 | 26 | 350 | 0.0 | 1037.9 |
| 1/2/2008 11:35:00 | -3.0 | -14.0 | 0.0 | 20.3 | 31 | 340 | 0.0 | 1037.9 |
| 1/2/2008 11:55:00 | -3.0 | -13.0 | 0.0 | 18.4 | 29 | 360 | 0.0 | 1037.6 |
| 1/2/2008 12:15:00 | -2.0 | -14.0 | 0.0 | 20.3 | 37 | 340 | 0.0 | 1037.3 |
| 1/2/2008 12:35:00 | -2.0 | -13.0 | 0.0 | 18.4 | 33 | 320 | 0.0 | 1037.3 |
| 1/2/2008 12:55:00 | -2.0 | -14.0 | 0.0 | 20.3 | 28 | 340 | 0.0 | 1036.9 |
| 1/2/2008 13:15:00 | -2.0 | -14.0 | 0.0 | 20.3 | 29 | 340 | 0.0 | 1037.3 |
| 1/2/2008 13:35:00 | -2.0 | -14.0 | 0.0 | 20.3 | 31 | 320 | 0.0 | 1036.9 |
| 1/2/2008 13:55:00 | -1.0 | -14.0 | 0.0 | 18.4 | 29 | 330 | 0.0 | 1036.9 |
| 1/2/2008 14:15:00 | -1.0 | -14.0 | 0.0 | 18.4 | 26 | 310 | 0.0 | 1037.3 |
| 1/2/2008 14:35:00 | -1.0 | -14.0 | 0.0 | 22.1 | 29 | 340 | 0.0 | 1037.3 |
| 1/2/2008 14:55:00 | -1.0 | -14.0 | 0.0 | 20.3 | 28 | 310 | 0.0 | 1037.6 |
| 1/2/2008 15:15:00 | -2.0 | -14.0 | 0.0 | 18.4 | 33 | 310 | 0.0 | 1037.6 |
| 1/2/2008 15:35:00 | -2.0 | -14.0 | 0.0 | 22.1 | 29 | 340 | 0.0 | 1037.9 |
| 1/2/2008 15:55:00 | -2.0 | -15.0 | 0.0 | 18.4 | 26 | 340 | 0.0 | 1037.9 |
| 1/2/2008 16:15:00 | -2.0 | -15.0 | 0.0 | 22.1 | 28 | 320 | 0.0 | 1038.3 |
| 1/2/2008 16:35:00 | -3.0 | -15.0 | 0.0 | 18.4 | 29 | 320 | 0.0 | 1038.9 |
| 1/2/2008 16:55:00 | -3.0 | -15.0 | 0.0 | 11.0 | 0 | 340 | 0.0 | 1038.6 |
| 1/2/2008 17:15:00 | -3.0 | -15.0 | 0.0 | 9.3 | 0 | 350 | 0.0 | 1038.6 |
| 1/2/2008 17:35:00 | -3.0 | -15.0 | 0.0 | 13.0 | 0 | 330 | 0.0 | 1038.9 |
| 1/2/2008 17:55:00 | -4.0 | -15.0 | 0.0 | 7.4 | 0 | 320 | 0.0 | 1039.3 |
| 1/2/2008 18:15:00 | -4.0 | -15.0 | 0.0 | 9.3 | 0 | 320 | 0.0 | 1039.6 |
| 1/2/2008 18:35:00 | -17.8 | -17.8 | 0.0 | 7.4 | 0 | 330 | 0.0 | 1039.6 |
| 1/2/2008 18:55:00 | -4.0 | -14.0 | 0.0 | 9.3 | 0 | 350 | 0.0 | 1040.0 |
| 1/2/2008 19:15:00 | -5.0 | -14.0 | 0.0 | 9.3 | 0 | 340 | 0.0 | 1040.3 |
| 1/2/2008 19:35:00 | -5.0 | -14.0 | 0.0 | 14.7 | 0 | 340 | 0.0 | 1040.3 |
| 1/2/2008 19:55:00 | -5.0 | -14.0 | 0.0 | 11.0 | 0 | 350 | 0.0 | 1040.6 |
| 1/2/2008 20:15:00 | -5.0 | -14.0 | 0.0 | 11.0 | 0 | 340 | 0.0 | 1040.6 |
| 1/2/2008 20:35:00 | -5.0 | -14.0 | 0.0 | 5.6 | 0 | 340 | 0.0 | 1040.6 |
| 1/2/2008 20:55:00 | -6.0 | -14.0 | 0.0 | 0.0 | 0 | 0 | 0.0 | 1041.0 |
| 1/2/2008 21:15:00 | -6.0 | -14.0 | 0.0 | 9.3 | 0 | 350 | 0.0 | 1041.3 |
| 1/2/2008 21:35:00 | -6.0 | -14.0 | 0.0 | 5.6 | 0 | 350 | 0.0 | 1041.3 |
| 1/2/2008 21:55:00 | -6.0 | -14.0 | 0.0 | 5.6 | 0 | 360 | 0.0 | 1041.3 |
| 1/2/2008 22:15:00 | -6.0 | -14.0 | 0.0 | 7.4 | 0 | 30 | 0.0 | 1041.3 |
| 1/2/2008 22:35:00 | -7.0 | -14.0 | 0.0 | 5.6 | 0 | 20 | 0.0 | 1041.3 |
| 1/2/2008 22:55:00 | -7.0 | -14.0 | 0.0 | 0.0 | 0 | 0 | 0.0 | 1041.3 |
| 1/2/2008 23:15:00 | -8.0 | -14.0 | 0.0 | 0.0 | 0 | 0 | 0.0 | 1041.7 |
| 1/2/2008 23:35:00 | -8.0 | -14.0 | 0.0 | 5.6 | 0 | 360 | 0.0 | 1041.3 |
| 1/2/2008 23:55:00 | -8.0 | -14.0 | 0.0 | 0.0 | 0 | 0 | 0.0 | 1041.3 |
Temperature in degrees Celsius, wind speed in kilometers per hour, precipitation in millimeters, and pressure in millibars. |
www_knmi_nl_kennis-en-datacentrum_zoekresultaten_page_124_q__E_Kjelstroem_type_data_center_publicati | climate | SIMILARITY: 0.5085
We propose an index to quantify and analyse the impact of climatological variability on the energ...
Publication
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The performance of eight fast-response methane (CH4) gas analysers suitable for eddy covariance f...
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Southeast Brazil experienced profound water shortages in 2014/15. Anthropogenic climate change is...
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Publication |
www_earthobservatory_nasa_gov_features_SeaIce_page5_php | climate | SIMILARITY: 0.4190
Because of differences in geography and climate, the amount, location, and natural variability of sea ice in the Arctic and the Antarctic are different. Global warming and natural climate patterns may affect each hemisphere’s sea ice in different ways or at different rates. Within each hemisphere, sea ice can change substantially from day to day, month to month, and even over the course of a few years.
Comparing conditions at only two points in time or examining trends over a short period is not sufficient to understand the impact of long-term climate change on sea ice. Scientists can only understand how sea ice is changing by comparing current conditions to long-term averages.
Since 1979, satellites have provided a consistent continuous record of sea ice. Through 2015, the average monthly September extent of Arctic sea ice has declined by 13.4 percent per decade relative to the average from 1981 to 2010. Declines are occurring in every geographic area, in every month, and every season. Natural variability and rising temperatures linked to global warming appear to have played a role in this decline. The Arctic may be ice-free in summer before the end of this century.
Antarctic sea ice trends are smaller and more complex. Relative to the average from 1981 to 2010, the Antarctic sea ice extent increased about 1 percent per decade, but the trends were not consistent for all areas or all seasons. The variability in Antarctic sea ice patterns makes it harder for scientists to explain Antarctic sea ice trends and to predict how Southern Hemisphere sea ice may change as greenhouse gases continue to warm the Earth. Climate models do predict that Antarctic sea ice will respond more slowly than Arctic sea ice to warming, but as temperatures continue to rise, a long-term decline is expected. |
lcrs_geographie_uni-marburg_de_lcrs_home_do_jsessionid_FBBFAB4BBA95DC3FA8CDA5F51647D252 | climate | SIMILARITY: 0.4814
Welcome to the Laboratory for Climatology and Remote Sensing
The LCRS is a working group within the Faculty of Geography at the University of Marburg. Research is done in the fields of climatology, remote sensing and numerical modelling, with a focus on atmospheric and boundary layer climatology, climate-ecology and climate change impact assessment.
Main research activities at the LCRS are:
- Climatological remote sensing
- Simulation of atmosphere and ecosystem processes
- Climate change impact research
To find out more about our research please have a look at the projects and facilities section on this page.
Latest available projects for students
Latest publications
- Turini, N.; Maldonado, B.D.; Zander, S.; López, S.D.B.; Ballari, D.; Celleri, R.; Orellana Alvear, J.; Schmidt, B.; Scherer, D. & Bendix, J. (2025): Operational satellite cloud products need local adjustment--The Galapagos case of ecoclimatic cloud zonation. Atmospheric Research 315, 107918.
- Gaurav, S.; Thies, B.; Egli, S. & Bendix, J. (2025): A new machine-learning based cloud mask using harmonized data of two Meteosat generations shows a general decrease in cloudiness over Europe in recent decades. Remote Sensing of Environment 318, 114599.
- Grigusova, P.; Beilschmidt, C.; Dobbermann, M.; Drönner, J.; Mattig, M.; Sanchez, P.; Farwig, N. & Bendix, J. (2024): A Data Storage, Analysis, and Project Administration Engine (TMFdw) for Small-to Medium-Size Interdisciplinary Ecological Research Programs with Full Raster Data Capabilities. Data 9(12), 143.
Latest datasets
- Smallholder field polygons and crop-types from western Kenya for Short Rain Season 2023 by Leist, L. (2024)
- Smallholder field polygons and crop-types from western Kenya for Long Rain Season 2023 by Leist, L. (2024)
- Synthetic Meteosat First Generation Rectified MVIRI Visible Band Images (Level 1.5) by Jung, I. (2024) |
www_ncas-m_org_event_extreme-weather-social-behavioral-and-economic-sciences-summit_ | climate | SIMILARITY: 0.4957
Extreme Weather Social, Behavioral, and Economic Sciences Summit
February 18 - February 21
Event Navigation
Extreme Weather Social, Behavioral, and Economic Sciences Summit
February 18-21, 2025
National Conservation Training Center
Shepherdstown, WV
OAR and the Weather Program Office invites you to the first Extreme Weather Social, Behavioral, and Economic Sciences (SBES) Summit from February 18th-21st at the National Conservation Training Center (NCTC) in Shepherdstown, WV.**
The Weather Program Office is convening this first-of-its-kind Summit to bring together researchers, managers, practitioners, and leaders across sectors and scientific disciplines to advance the integration of the social, behavioral, and economic sciences in addressing the societal challenges of extreme weather.
NCTC’s inclusive campus with on-site lodging, dining, and meeting facilities provides an exceptional setting for rich and in-depth opportunities to strengthen connections and enhance collaboration across OAR Programs and Labs in tandem with critical partners like the National Weather Service, academia, NOAA Cooperative Institutes, NOAA Cooperative Science Centers, other federal agencies, and more.
We hope you’ll save the date and join us for this exciting exchange of ideas, experience, and knowledge focused on making communities safer in the face of extreme weather. More details about the Summit, including a draft agenda, how to make reservations and services available on campus, will be available shortly on the WPO’s Social Science Program webpage. |
server3_cleardarksky_com_clmt_c_ShltNCct_html | climate | SIMILARITY: 0.4667
ShallotteClear Sky ChartHistory
This sumarizes the distribution of each different forecast outcome for the Shallotte clear sky chart from 2005-11-06 to 2024-11-25.
This page is a summary of past forecasts. Even though it's based only on forecasts, some people use these pages as
clue to a site's climate. But climate data based on actual observation should be preferred (if you can find it!).
Cloud, Transparency and Seeing forecasts are summarized individually. But because
good observing conditions require a combination of minimum cloud cover, transparency and seeing, the individual forecast summaries can be difficult to
interpret. The observing conditions section counts the combinations of conditions needed for common types of
astronomical observation.
The following tables count the occurrence of the combinations of forecast and darkness conditions needed for different observations.
Conditions are rated by by what percentage of the hours the observation would likely be attempted are usable.| Observation Type | Minimum conditions for hour to be usable | Out of hours |
|---|
| Clear of Clouds | Transparency | Seeing | Sky Brightness
| |
|---|
| Planetary: | 50% | (no limit) | Average | (no limit) | Nighttime Hours |
|---|
| Deep Sky: | 70% | Average | (no limit) | 5.9 | Nighttime Hours |
|---|
| CCD Imaging: | 70% | Below Average | Poor | (no limit) | Nighttime Hours |
|---|
Percentages are of nighttime hours per month, or per year, when a particular observing
conditions was met. Deep Sky percentages never exceed 50% because the moon is up half the time. Deep sky percentages are much lower for charts at high latitudes because of fewer dark hours in the summer.
Overall
| Planetary | Data Pts | Deep Sky Max 60% | Data Pts | Both Planetary and Deep Sky Max 60% | Data Pts | Either Planetary or Deep Sky | Data Pts | CCD Imaging | Data Pts |
|---|
| Night | | 25721 | | 97410 | | 25497 | | 25497 | | 76219 |
By Month
| Month | Days of Month | | Planetary | Data Pts | Deep Sky Max 60% | Data Pts | Both Planetary and Deep Sky Max 60% | Data Pts | Either Planetary or Deep Sky | Data Pts | CCD Imaging | Data Pts |
|---|
| January | 1st to 10th | Night | | 751 | | 3998 | | 737 | | 737 | | 2777 |
| January | 11th to 20th | Night | | 754 | | 3984 | | 740 | | 740 | | 2843 |
| January | 21st to end | Night | | 828 | | 4439 | | 814 | | 814 | | 3193 |
| February | 1st to 10th | Night | | 760 | | 2470 | | 760 | | 760 | | 2112 |
| February | 11th to 20th | Night | | 742 | | 2321 | | 740 | | 740 | | 2017 |
| February | 21st to end | Night | | 628 | | 1737 | | 628 | | 628 | | 1537 |
| March | 1st to 10th | Night | | 757 | | 3418 | | 745 | | 745 | | 2998 |
| March | 11th to 20th | Night | | 748 | | 3416 | | 740 | | 740 | | 2240 |
| March | 21st to end | Night | | 827 | | 3708 | | 814 | | 814 | | 2625 |
| April | 1st to 10th | Night | | 760 | | 1961 | | 760 | | 760 | | 1694 |
| April | 11th to 20th | Night | | 751 | | 1875 | | 751 | | 751 | | 1650 |
| April | 21st to end | Night | | 760 | | 1900 | | 760 | | 760 | | 1621 |
| May | 1st to 10th | Night | | 728 | | 3055 | | 725 | | 725 | | 2212 |
| May | 11th to 20th | Night | | 550 | | 2765 | | 541 | | 541 | | 2036 |
| May | 21st to end | Night | | 596 | | 3053 | | 593 | | 593 | | 1972 |
| June | 1st to 10th | Night | | 570 | | 1710 | | 570 | | 570 | | 1499 |
| June | 11th to 20th | Night | | 570 | | 1710 | | 570 | | 570 | | 1442 |
| June | 21st to end | Night | | 570 | | 1710 | | 570 | | 570 | | 1480 |
| July | 1st to 10th | Night | | 538 | | 2725 | | 535 | | 535 | | 2063 |
| July | 11th to 20th | Night | | 535 | | 2786 | | 533 | | 533 | | 2148 |
| July | 21st to end | Night | | 605 | | 2926 | | 569 | | 569 | | 2379 |
| August | 1st to 10th | Night | | 557 | | 2805 | | 545 | | 545 | | 2324 |
| August | 11th to 20th | Night | | 679 | | 2789 | | 675 | | 675 | | 2015 |
| August | 21st to end | Night | | 816 | | 3099 | | 814 | | 814 | | 2094 |
| September | 1st to 10th | Night | | 760 | | 1900 | | 760 | | 760 | | 1630 |
| September | 11th to 20th | Night | | 760 | | 1990 | | 760 | | 760 | | 1757 |
| September | 21st to end | Night | | 760 | | 2152 | | 760 | | 760 | | 1869 |
| October | 1st to 10th | Night | | 760 | | 2971 | | 740 | | 740 | | 2528 |
| October | 11th to 20th | Night | | 760 | | 2268 | | 740 | | 740 | | 1872 |
| October | 21st to end | Night | | 836 | | 2813 | | 814 | | 814 | | 2253 |
| November | 1st to 10th | Night | | 780 | | 2341 | | 780 | | 780 | | 1949 |
| November | 11th to 20th | Night | | 800 | | 2400 | | 800 | | 800 | | 1991 |
| November | 21st to end | Night | | 779 | | 2406 | | 779 | | 779 | | 1936 |
| December | 1st to 10th | Night | | 760 | | 2470 | | 760 | | 760 | | 2153 |
| December | 11th to 20th | Night | | 759 | | 2933 | | 758 | | 758 | | 2223 |
| December | 21st to end | Night | | 827 | | 4406 | | 817 | | 817 | | 3087 |
The length of each colored bar
in the "occurrence of each Forecast" column is proportional to the number of times the chart forecast that color.
The percentages are of the total number of hours per month, or per year, with a particular forecast.
The colors as the same as those used in clear sky charts.
Note: Transparency probabilities are only counted for those hours that have 30% or less cloud cover. Seeing probabilities are only counted for
those hours that have 80% or less cloud cover. If that's too tricky, try Observing Conditions instead.
Overall
| | Occurrence of each Forecast | Data Points |
|---|
| Cloud Cover | Day |
| 101204 |
| Night |
| 98215 |
|
| Transparency | Day |
| 104849 |
| Night |
| 102708 |
|
| Seeing | Day |
| 15814 |
| Night |
| 25919 |
|
By Month
| Percentage Cloud Cover SE (2006-) |
Color Meanings:
| Overcast | 90% covered | 80% covered | 70% covered | 60% covered | 50% covered | 40% covered | 30% covered | 20% covered | 10% covered | Clear |
|
| Month | Days in Month | | Occurrence of each Forecast | Data Points |
|---|
|
| January | 1st to 10th | Day |
| 2836 |
| 11th to 20th | Day |
| 2840 |
| 21st to end | Day |
| 3124 |
|
| February | 1st to 10th | Day |
| 1710 |
| 11th to 20th | Day |
| 1745 |
| 21st to end | Day |
| 1713 |
|
| March | 1st to 10th | Day |
| 3435 |
| 11th to 20th | Day |
| 3480 |
| 21st to end | Day |
| 3815 |
|
| April | 1st to 10th | Day |
| 2218 |
| 11th to 20th | Day |
| 2254 |
| 21st to end | Day |
| 2280 |
|
| May | 1st to 10th | Day |
| 3829 |
| 11th to 20th | Day |
| 4081 |
| 21st to end | Day |
| 4476 |
|
| June | 1st to 10th | Day |
| 2470 |
| 11th to 20th | Day |
| 2470 |
| 21st to end | Day |
| 2470 |
|
| July | 1st to 10th | Day |
| 4120 |
| 11th to 20th | Day |
| 4120 |
| 21st to end | Day |
| 4466 |
|
| August | 1st to 10th | Day |
| 4104 |
| 11th to 20th | Day |
| 3777 |
| 21st to end | Day |
| 4180 |
|
| September | 1st to 10th | Day |
| 2280 |
| 11th to 20th | Day |
| 2185 |
| 21st to end | Day |
| 2028 |
|
| October | 1st to 10th | Day |
| 1900 |
| 11th to 20th | Day |
| 1900 |
| 21st to end | Day |
| 2090 |
|
| November | 1st to 10th | Day |
| 1957 |
| 11th to 20th | Day |
| 2000 |
| 21st to end | Day |
| 1864 |
|
| December | 1st to 10th | Day |
| 1710 |
| 11th to 20th | Day |
| 2153 |
| 21st to end | Day |
| 3124 |
|
| January | 1st to 10th | Night |
| 4109 |
| 11th to 20th | Night |
| 4120 |
| 21st to end | Night |
| 4532 |
|
| February | 1st to 10th | Night |
| 2470 |
| 11th to 20th | Night |
| 2319 |
| 21st to end | Night |
| 1737 |
|
| March | 1st to 10th | Night |
| 3418 |
| 11th to 20th | Night |
| 3480 |
| 21st to end | Night |
| 3817 |
|
| April | 1st to 10th | Night |
| 1961 |
| 11th to 20th | Night |
| 1875 |
| 21st to end | Night |
| 1900 |
|
| May | 1st to 10th | Night |
| 3080 |
| 11th to 20th | Night |
| 2812 |
| 21st to end | Night |
| 3079 |
|
| June | 1st to 10th | Night |
| 1710 |
| 11th to 20th | Night |
| 1710 |
| 21st to end | Night |
| 1710 |
|
| July | 1st to 10th | Night |
| 2840 |
| 11th to 20th | Night |
| 2840 |
| 21st to end | Night |
| 3087 |
|
| August | 1st to 10th | Night |
| 2825 |
| 11th to 20th | Night |
| 3007 |
| 21st to end | Night |
| 3476 |
|
| September | 1st to 10th | Night |
| 1900 |
| 11th to 20th | Night |
| 1990 |
| 21st to end | Night |
| 2152 |
|
| October | 1st to 10th | Night |
| 2280 |
| 11th to 20th | Night |
| 2280 |
| 21st to end | Night |
| 2508 |
|
| November | 1st to 10th | Night |
| 2341 |
| 11th to 20th | Night |
| 2400 |
| 21st to end | Night |
| 2406 |
|
| December | 1st to 10th | Night |
| 2470 |
| 11th to 20th | Night |
| 3042 |
| 21st to end | Night |
| 4532 |
| Transparency (when cloud cover <= 30%) |
Color Meanings:
| Too cloudy to forecast | Poor | Below Average | Average | Above average | Transparent |
|
| Month | Days in Month | | Occurrence of each Forecast | Data Points |
|---|
|
| January | 1st to 10th | Day |
| 2837 |
| 11th to 20th | Day |
| 2840 |
| 21st to end | Day |
| 3124 |
|
| February | 1st to 10th | Day |
| 1710 |
| 11th to 20th | Day |
| 1754 |
| 21st to end | Day |
| 1713 |
|
| March | 1st to 10th | Day |
| 3435 |
| 11th to 20th | Day |
| 3480 |
| 21st to end | Day |
| 3815 |
|
| April | 1st to 10th | Day |
| 2218 |
| 11th to 20th | Day |
| 2254 |
| 21st to end | Day |
| 2280 |
|
| May | 1st to 10th | Day |
| 3864 |
| 11th to 20th | Day |
| 4085 |
| 21st to end | Day |
| 4489 |
|
| June | 1st to 10th | Day |
| 2470 |
| 11th to 20th | Day |
| 2470 |
| 21st to end | Day |
| 2470 |
|
| July | 1st to 10th | Day |
| 4055 |
| 11th to 20th | Day |
| 4051 |
| 21st to end | Day |
| 4324 |
|
| August | 1st to 10th | Day |
| 4091 |
| 11th to 20th | Day |
| 3814 |
| 21st to end | Day |
| 4180 |
|
| September | 1st to 10th | Day |
| 2280 |
| 11th to 20th | Day |
| 2185 |
| 21st to end | Day |
| 2028 |
|
| October | 1st to 10th | Day |
| 3160 |
| 11th to 20th | Day |
| 3140 |
| 21st to end | Day |
| 3428 |
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| November | 1st to 10th | Day |
| 1957 |
| 11th to 20th | Day |
| 2000 |
| 21st to end | Day |
| 1864 |
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| December | 1st to 10th | Day |
| 1710 |
| 11th to 20th | Day |
| 2150 |
| 21st to end | Day |
| 3124 |
|
| January | 1st to 10th | Night |
| 4109 |
| 11th to 20th | Night |
| 4120 |
| 21st to end | Night |
| 4532 |
|
| February | 1st to 10th | Night |
| 2470 |
| 11th to 20th | Night |
| 2321 |
| 21st to end | Night |
| 1737 |
|
| March | 1st to 10th | Night |
| 3418 |
| 11th to 20th | Night |
| 3480 |
| 21st to end | Night |
| 3817 |
|
| April | 1st to 10th | Night |
| 1961 |
| 11th to 20th | Night |
| 1875 |
| 21st to end | Night |
| 1900 |
|
| May | 1st to 10th | Night |
| 3110 |
| 11th to 20th | Night |
| 2813 |
| 21st to end | Night |
| 3087 |
|
| June | 1st to 10th | Night |
| 1710 |
| 11th to 20th | Night |
| 1710 |
| 21st to end | Night |
| 1710 |
|
| July | 1st to 10th | Night |
| 2795 |
| 11th to 20th | Night |
| 2786 |
| 21st to end | Night |
| 2988 |
|
| August | 1st to 10th | Night |
| 2814 |
| 11th to 20th | Night |
| 3035 |
| 21st to end | Night |
| 3476 |
|
| September | 1st to 10th | Night |
| 1900 |
| 11th to 20th | Night |
| 1990 |
| 21st to end | Night |
| 2152 |
|
| October | 1st to 10th | Night |
| 3800 |
| 11th to 20th | Night |
| 3779 |
| 21st to end | Night |
| 4120 |
|
| November | 1st to 10th | Night |
| 2341 |
| 11th to 20th | Night |
| 2400 |
| 21st to end | Night |
| 2406 |
|
| December | 1st to 10th | Night |
| 2470 |
| 11th to 20th | Night |
| 3044 |
| 21st to end | Night |
| 4532 |
| Seeing (when cloud cover <= 80%) |
Color Meanings:
| Too cloudy to forecast | Bad 1/5 | Poor 2/5 | Average 3/5 | Good 4/5 | Excellent 5/5 |
|
| Month | Days in Month | | Occurrence of each Forecast | Data Points |
|---|
|
| January | 1st to 10th | Day |
| 270 |
| 11th to 20th | Day |
| 270 |
| 21st to end | Day |
| 297 |
|
| February | 1st to 10th | Day |
| 270 |
| 11th to 20th | Day |
| 352 |
| 21st to end | Day |
| 382 |
|
| March | 1st to 10th | Day |
| 460 |
| 11th to 20th | Day |
| 460 |
| 21st to end | Day |
| 506 |
|
| April | 1st to 10th | Day |
| 460 |
| 11th to 20th | Day |
| 452 |
| 21st to end | Day |
| 460 |
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| May | 1st to 10th | Day |
| 463 |
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| 487 |
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| 529 |
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| June | 1st to 10th | Day |
| 490 |
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| 485 |
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| 532 |
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| August | 1st to 10th | Day |
| 486 |
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| 479 |
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| 539 |
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| September | 1st to 10th | Day |
| 490 |
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| 490 |
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| 490 |
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| 490 |
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| 539 |
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| 495 |
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| 400 |
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| December | 1st to 10th | Day |
| 270 |
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| 297 |
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| January | 1st to 10th | Night |
| 760 |
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| 760 |
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| 836 |
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| February | 1st to 10th | Night |
| 760 |
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| 743 |
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| 628 |
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| March | 1st to 10th | Night |
| 760 |
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| 836 |
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| 760 |
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| 751 |
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Cross-realm assessment of climate change impacts on species abundance trends
Population trend data for over 1000 species across the terrestrial, freshwater and marine realm. Data contains trend info, trait data, climatic niche as well as temperature data...
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This briefing note outlines common winter weather hazards experienced across Europe and Central Asia, and the ways in which National Societies are pre...
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Following the conclusion of COP29 this week, a critical area of discussion in climate mitigation and adaptation is the role of the urban context. Whil...
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torridonblog_sais_gov_uk_2019_02_storm-erik_ | climate | SIMILARITY: 0.4076
Storm Erik…?
8th February 2019
A rather benign ‘storm’ as the centre of the depression crossed the North-West. Wet and mild today with light to moderate SE winds. High winds and further bands of rain are expected late in the day. Summit rain in the afternoon as the temperature soared. Numerous small avalanches on North-East aspects noted on Beinn Eighe this afternoon as cornice collapse triggered surface wet snow instabilities in the mild conditions.
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crayasher_com_ebook_download-datenreisende-die-kultur-der-computernetze_htm | climate | SIMILARITY: 0.4616
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livableplanet_nyuad_nyu_edu_event-type_performance__filter_true_cat-month_23_cat-venue_37_cat-event- | climate | SIMILARITY: 0.4402
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ileanajohnson_com_2015_04_our-lives-and-freedoms-matter-more-than-progressive-propaganda_ | climate | SIMILARITY: 0.4073
Photo: Ileana Johnson 2015
The regime’s main stream media purposefully ignores the latest renewable energy news and events while bombarding us non-stop with gay issues, Christian bashing, manufactured “white privilege” stretching to the nude color of bras and Band-Aids, and “black lives matter” idiotic disruptions of restaurant patrons around the country, patrons that have nothing to do with the black on black crime in areas such as Chicago.
Mark Duchamp, Chairman of World Council for Nature, reported on the dangerous effects wind turbines in Australia have on animal farms located in the vicinity of wind farms. “Life near turbines is hell, according to a panel of south-west property owners who have battled against wind farms for the best part of a decade.” http://wcfn.org/2015/04/02/wind-farms-deformities/
According to The Standard in Australia, farmers complained to a Portland panel that there is a need to shut down wind turbines at night across Australia, referring to their personal health and health impacts on their livestock. “The number of deformed lambs increased over the period of the wind farm operating near our property. The lambing rate in our merino stock decreased to a rate of 37 percent from 85 percent prior to the wind farms being established.” http://standards.net.au/story/2983411/turbine-neighbours-tell-of-their-hell/
I have written before about disruptions in ovulation, miscarriages, birth defects in mink farms and sleep issues with workers and ranchers who tended these mink farms in Denmark. http://ileanajohnson.com/2014/06/wind-turbines-and-negative-effects-on-animals/
The much praised and promoted smart meters that were supposed to form a “self-healing” and “resilient” smart grid turned out to be a nightmare for many, particularly for 5,800 residents of Stockton, California whose smart meters exploded simultaneously when a truck ran into a utility pole, causing a power surge. http://sacramento.cbslocal.com/2015/03/30/stockton-smart-meters-explode-after-truck-causes-power-surge/
Josh Del Sol reported that the “catastrophic failure of these PG&E ‘smart’ meters – which are not approved by Underwriters Laboratories (UL) – not only damaged meter bases and other homeowner property, but left those 5,800 customers without power.” http://takebackyourpower.net/news/2015/04/01/hundreds-of-smart-meters-simultaneouly-explode
According to Take Back Your Power, following fires in Portland, Oregon, Lakeland, Florida, Arizona, and Ontario, the province of Saskatchewan ordered in July 2014 the removal of all 105,000 smart meters.
Josh Del Sol wrote that, following another power surge in Palo Alto, California which ignited 80 smart meters, The Utility Reform Network (TURN) stated through its representative: “In the collective memory of TURN, we have not seen similar incidents with analog meters.”
I dedicated four chapters to smart meters in my bestselling book, U.N. Agenda 21: Environmental Piracy. The smart meter program is a massive data collection without the customer’s authorization or a judge’s warrant. Smart meters are expensive, have a short life-span when exposed to sunlight and heat, but the government gives generous subsidies for their installation. http://www.amazon.com/U-N-Agenda-21-Environmental-Piracy-ebook/dp/B009WC6JXO/ref=sr_1_1_twi_2_kin?s=books&ie=UTF8&qid=1427990151&sr=1-1&keywords=UN+Agenda+21%3A+Environmental+Piracy
The smart grid is part of “the internet of things,” a way to control your smart appliances, your energy consumption, shutting down your electricity at will by the utility company, it does not save electricity, on the contrary rates and bills have gone up despite of consumption remaining the same, monitoring your every activity in the home, hacking vulnerability, and health issues associated with involuntary exposure to round the clock pulsed microwave radiation.
On March 27, 2015, the United Kingdom issued its IoD Policy Report written by Dan Lewis and Jamie Kerr on smart meters deployment, “the largest UK government-run IT project in history and the most expensive and complex programme in the world,” with the title, “Not too clever: Will Smart Meters be the next Government IT disaster?” www.takebackyourpower.net/wp-content/uploads/2015/03/Smart-meters-Not-too-clever-1-IoD.pdf
This smart grid plan is sold to the entire electrified planet under the guise of climate change, protecting the environment through green environmentalist action, and the wireless “convenience” and “modernization.” The reality is that collecting data in real time, non-stop, and selling it to third parties is more lucrative financially than the entire utility industry.
Michael Thompson, wrote that a new study, released by the Thomas Jefferson Institute and researched by economists at the Beacon Hill Institute in Boston, revealed that under the new stringent EPA regulations, Virginia will have to reduce CO2 levels 38 percent by 2030 at a cost of $1.7 billion, resulting in a loss of 38,000 jobs and electricity rate increases by 25 percent. “And the impact on our environment – the reduction of CO2 – will be almost negligible.” www.thomasjeffersoninst.org/files/3/EPAStudy_March 2015.pdf
A Max Planck Institute for Meteorology study by Bjorn Stevens found “that aerosol radiative forcing is less negative and more certain than is commonly believed.” http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-14-00656.1
Bjorn Stevens found that “the magnitude of the cooling effect from anthropogenic (man-made) aerosol emission during the late 19th and 20th century was less than currently believed, which eliminates the support for the high-end negative estimates (such as those included in the latest assessment of the U.N.’s Intergovernmental Panel on Climate Change (IPCC).” http://www.cato.org/blog/you-ought-have-look-climate-sensitivity-environmental-worries-are-trending-downward
The implications are that carbon dioxide must be causing less global warming than climate models predict. “Going forward we should expect less warming from future greenhouse gas emissions than climate models are projecting,” according to Cato Institute climate scientists Pat Michaels and Chip Knappenberger, a potential “death blow to the global warming hysteria.”
Tom DeWeese, President of the American Policy Center (APC), one of the main driving forces behind the battle to stop Agenda 21, is reporting that anti-Agenda 21 legislation has been introduced in several state legislatures, including Missouri, Montana, Maine, and potentially Louisiana. Concerned citizens and legislators will meet with Tom DeWeese in Florida, Pennsylvania, Ohio, Maryland, Louisiana, and Arizona.
The main stream media ignores, ridicules, or attacks the thorough research and tireless work of the American Policy Center (APC). Few citizens are even aware that there are direct ties between Agenda 21 and Common Core; Obamacare in our health care; gun control; illegal immigration; the manufactured global warming that is fleecing taxpayers worldwide; and “all the local ‘planning’ that is transforming our neighborhoods into ‘stack and pack’ high rise monsters; no cars, limited energy, no suburban housing, higher costs and shortages are all included in the future of Agenda 21 policy.”
In the progressive propaganda quest to push its gay agenda, the “black lives matter” race-baiting campaign, the cultural wars against Christian values and businesses, the fake “war on women,” the manufactured racial bigotry, and its welfare agenda of “social justice,” amnesty for illegal immigrants intent on changing the face of our “evil” capitalist society, the importance of our lives and freedoms as a society is marginalized and ignored.
Progressives do not realize in their monumental ignorance that they are supporting dark forces that will imprison them and eventually kill them for the very liberties they are falsely claiming that are under attack. |
www_taftschool_org_about_taft-voices_post__board_students_post_summer-journeys-estelle-magnan-26-cli | climate | SIMILARITY: 0.4102
Summer Journeys: Estelle Magnan ’26, Climate Change in the Pyrenees
Estelle Magnan ’26 traveled to the northernmost region of Andorra over the summer to study the effects of climate change on wildlife in the Andorran Pyrenees. Her work involved tracking biodiversity, monitoring the health of small animals, and conducting tree-growth surveys. Learn more about her work in the video below. |
enchantedlifepath_com_2016_05_07_climate-chaos-earthquake-watch_embed_ | climate | SIMILARITY: 0.5826
Climate Chaos | Earthquake Watch
Earthquakes Are a Global Problem With Records Being Broken For A Single Year In 2015, 2016 Is On Course To Break Records Yet Again, With All Eyes on The Big Ones Around The World We Can Track Every Earthquake ON The Planet From This Page Using The Tools & Info Provided. We Cover Earthquakes Here … Continue reading Climate Chaos | Earthquake Watch
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www_nhc_noaa_gov_archive_xgtwo_5day_gtwo_archive_php_current_issuance_202208150241_basin_epac_fdays_ | climate | SIMILARITY: 0.4263
NHC Graphical Outlook Archive
|
« Earliest Available ‹ Earlier Later › Latest Available » |
GIS Shapefiles |
| Central Pacific | Eastern Pacific | Atlantic |
|
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« Earliest Available ‹ Earlier Later › Latest Available » |
GIS Shapefiles |
| Central Pacific | Eastern Pacific | Atlantic |
|
ZCZC MIATWOEP ALL TTAA00 KNHC DDHHMM Tropical Weather Outlook NWS National Hurricane Center Miami FL 500 PM PDT Sun Aug 14 2022 For the eastern North Pacific...east of 140 degrees west longitude: Active Systems: The National Hurricane Center is issuing advisories on Tropical Depression Ten-E, located a few hundred miles southwest of the southern tip of the Baja California peninsula. Tropical cyclone formation is not expected during the next 5 days. $$ Forecaster Pasch NNNN |
www_surveymonkey_com_r_CJsurvey | climate | SIMILARITY: 0.4581
Student survey on Climate and Environmental Justice
About this survey
This survey has been put together by 20 CUNY student fellows who want to better understand the landscape of student organizing around environmental justice (EJ), climate justice (CJ) and other intersecting social justice issues across CUNY. We want to hear directly from you about what matters to you and what you want to see change at CUNY and in your communities.
This survey is conducted on behalf of the NYC Climate Justice Hub. Launched in September 2023, the NYC Climate Justice Hub is a partnership between the City University of New York (CUNY)—the nation’s largest public urban university—and the NYC Environmental Justice Alliance (NYC-EJA)—a coalition of grassroots organizations who have led the fight for environmental and climate justice in NYC since 1991. By uniting CUNY and NYC-EJA, the Hub strengthens and fortifies just transition efforts led by frontline communities of color across NYC. Find out more about the Hub here.
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mesonet2_agron_iastate_edu_sites_hist_phtml_station_S2049_network_SCAN_mode_daily_year_2024_month_11 | climate | SIMILARITY: 0.4130
Information Last Ob Photographs Meteogram Network Table Neighbors Monthly Summaries Observation History Wind Roses Custom Wind Roses Data Calendar
This table lists out IEM computed daily summary values for this network. These values are derived from available observations and specialized summary products that some of the observation sites produce. The time zone reported for the peak winds are hopefully the local valid time (America/New_York) at the site. There is a download interface for most of this summary information.
| ID: | Location: | High: | Low: | Min Feels Like[F]: | Max Feels Like [F]: | Min Dew Point [F]: | Max Dew Point [F]: | Rainfall: | Peak Gust: | Time of Gust: | Snowfall: | Snow Depth: |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S0015 | Maricao Forest | 80.6 | 70.9 | 70.9 | 83.500984 | 60.873016 | 71.56019 | 12 | 5:00 AM | |||
| S0581 | Lindsay | 18.1 | 4.8 | -5.793084 | 18.1 | 1.7833759 | 8.681779 | 14 | 4:00 AM | |||
| S0674 | Orchard Range Site | 50.9 | 25.2 | 21.134193 | 50.9 | 20.485905 | 27.257166 | 22 | 12:00 PM | |||
| S0808 | Table Mountain | 39.4 | 5.7 | 5.7 | 28.841908 | 2.1685605 | 22.084206 | 34 | 10:00 PM | |||
| S2001 | Rodgers Farm | 37.9 | 18.1 | 12.726232 | 32.92163 | 11.807811 | 31.049053 | 29 | 3:00 AM | |||
| S2002 | Crescent Lake No1 | 32.4 | 15.3 | 4.801366 | 32.2 | 10.518682 | 31.188833 | 26 | 9:00 AM | |||
| S2003 | Wabeno #1 | 31.6 | 27.5 | 27.5 | 31.6 | 26.257244 | 30.847141 | 4 | 2:00 AM | |||
| S2004 | Mason | 57.9 | 30.9 | 29.148394 | 57.9 | 21.234562 | 52.93147 | 18 | 2:00 PM | |||
| S2005 | Princeton #1 | 63.1 | 46 | 41.736187 | 63.1 | 39.858025 | 61.12936 | 22 | 5:00 PM | |||
| S2006 | Bushland #1 | 52.5 | 29.1 | 17.14474 | 52.5 | 25.157944 | 38.990944 | 28 | 12:00 AM | |||
| S2008 | Tidewater #1 | 70.5 | 39.7 | 39.7 | 70.5 | 39.442017 | 49.73242 | 10 | 1:00 PM | |||
| S2009 | Wakulla #1 | 74.3 | 42.8 | 42.8 | 74.3 | 42.8 | 61.571484 | 6 | 3:00 PM | |||
| S2011 | Geneva #1 | 46 | 30 | 30 | 43.185246 | 28.742899 | 39.938526 | 10 | 10:00 PM | |||
| S2012 | Sellers Lake #1 | 77 | 37.4 | 37.4 | 77 | 36.887047 | 52.87997 | 7 | 12:00 PM | |||
| S2013 | Watkinsville #1 | 71.8 | 36.9 | 36.9 | 71.8 | 36.388203 | 55.680515 | 13 | 12:00 PM | |||
| S2014 | Molly Caren #1 | 58.1 | 36.5 | 36.5 | 58.1 | 33.780792 | 54.56316 | 18 | 11:00 PM | |||
| S2015 | Adams Ranch #1 | 57.9 | 33.4 | 31.347254 | 57.9 | 14.636037 | 27.84271 | 21 | 4:00 AM | |||
| S2016 | Prairie View #1 | 83.8 | 52.3 | 52.3 | 85.0832 | 44.319214 | 67.88836 | 23 | 7:00 PM | |||
| S2017 | Nunn #1 | 41.4 | 18.1 | 9.539253 | 37.94276 | 12.385634 | 22.439621 | 17 | 12:00 AM | |||
| S2018 | Torrington #1 | 48 | 7.9 | 7.9 | 46.772358 | 5.3345366 | 26.257887 | 11 | 12:00 PM | |||
| S2019 | Fort Assiniboine #1 | 11.5 | -1.8 | -13.741787 | 3.4 | -6.2997274 | 6.5304565 | 15 | 1:00 PM | |||
| S2020 | Mandan #1 | 16.5 | 4.3 | -9.590054 | 7.7 | 0.2835485 | 5.6933866 | 21 | 12:00 AM | |||
| S2021 | Lind #1 | 47.1 | 32.4 | 29.367338 | 45.9 | 31.487844 | 37.84165 | 15 | 3:00 AM | |||
| S2022 | Fort Reno #1 | 48.9 | 34 | 30.565336 | 45.04534 | 23.105125 | 45.80341 | 29 | 8:00 AM | |||
| S2024 | Goodwin Ck Pasture | 73.8 | 56.1 | 56.1 | 73.8 | 48.29192 | 65.523674 | 23 | 11:00 AM | |||
| S2025 | Goodwin Ck Timber | 74.8 | 56.1 | 56.1 | 74.8 | 48.29192 | 66.4192 | 13 | 11:00 AM | |||
| S2026 | Walnut Gulch #1 | 72.3 | 44.1 | 42.7699 | 72.3 | 10.71563 | 30.909628 | 10 | 2:00 PM | |||
| S2027 | Little River | 74.8 | 43 | 43 | 74.8 | 43 | 60.149868 | 9 | 12:00 PM | |||
| S2028 | Mahantango Ck | 51.6 | 27.5 | 24.044167 | 51.6 | 26.510368 | 38.309437 | 6 | 10:00 PM | |||
| S2030 | Uapb-Lonoke Farm | 71.6 | 47.1 | 44.78754 | 71.6 | 40.267067 | 64.061806 | 20 | 5:00 PM | |||
| S2031 | Ames | 42.3 | 19 | 12.243167 | 36.264774 | 14.966568 | 39.86272 | 27 | 9:00 AM | |||
| S2032 | Beasley Lake | 76.6 | 56.3 | 56.3 | 76.6 | 49.691265 | 65.35293 | 28 | 8:00 PM | |||
| S2033 | Onward | 79.9 | 59.4 | 59.4 | 79.9 | 52.447273 | 65.33061 | 24 | 1:00 PM | |||
| S2034 | Tunica | 70.3 | 52.5 | 52.5 | 70.3 | 43.00641 | 63.48531 | 28 | 11:00 PM | |||
| S2035 | Vance | 75.4 | 55.8 | 55.8 | 75.4 | 45.4058 | 65.06267 | 25 | 7:00 PM | |||
| S2036 | Rock Springs Pa | 48.4 | 26.2 | 26.2 | 47.8 | 25.957394 | 41.559536 | 11 | 5:00 PM | |||
| S2037 | Pee Dee | 72 | 41.2 | 41.2 | 72 | 39.87763 | 52.500336 | 17 | 12:00 PM | |||
| S2038 | Youmans Farm | 72 | 39.9 | 39.9 | 72 | 39.381252 | 57.571735 | 14 | 1:00 PM | |||
| S2039 | N Piedmont Arec | 60.1 | 36 | 34.379044 | 60.1 | 31.63933 | 41.273132 | 13 | 2:00 PM | |||
| S2041 | Mount Mansfield | 30.4 | 21 | 19.043253 | 27.392073 | |||||||
| S2042 | Lye Brook | 34.2 | 22.5 | 17.839754 | 23.331549 | |||||||
| S2043 | Mascoma River | 37.2 | 26.6 | 18.804798 | 25.526365 | |||||||
| S2045 | Guilarte Forest | 76.8 | 64.8 | 64.8 | 76.8 | 62.21935 | 68.351974 | 10 | 3:00 PM | |||
| S2046 | Perthshire | 75.2 | 55 | 55 | 75.2 | 44.252705 | 64.29829 | 25 | 1:00 PM | |||
| S2047 | Spickard | 50 | 27.1 | 25.732914 | 50 | 16.138033 | 41.693356 | 26 | 8:00 AM | |||
| S2048 | Dexter | 67.1 | 44.8 | 43.56572 | 67.1 | 35.256676 | 61.079975 | 17 | 8:00 PM | |||
| S2049 | Powder Mill | 59 | 30.2 | 30.2 | 59 | 29.70355 | 44.23605 | 10 | 12:00 PM | |||
| S2050 | Glacial Ridge | 21.2 | 6.6 | -3.7044024 | 10.426587 | 3.0531814 | 19.993029 | 18 | 4:00 AM | |||
| S2051 | Everglades ARS | 81.3 | 58.6 | 58.6 | 82.297714 | 56.221043 | 63.73979 | 16 | 2:00 PM | |||
| S2052 | Isabela | 87.3 | 73.8 | 73.8 | 95.118965 | 70.45522 | 76.09825 | 19 | 2:00 PM | |||
| S2053 | Wtars | 71.8 | 45.3 | 45.3 | 71.8 | 40.988174 | 62.434303 | 19 | 2:00 PM | |||
| S2055 | Hodges | 72.5 | 43.3 | 43.3 | 72.5 | 41.965206 | 60.181507 | 18 | 1:00 PM | |||
| S2056 | Stanley Farm | 74.1 | 45.1 | 45.1 | 74.1 | 41.761623 | 62.438026 | 17 | 11:00 AM | |||
| S2057 | AAMU-JTG | 71.6 | 49.3 | 49.3 | 71.6 | 42.703995 | 61.94149 | 12 | 1:00 PM | |||
| S2060 | Mt Vernon | 60.6 | 59.4 | 59.4 | 60.6 | 55.847588 | 57.145527 | 11 | 12:00 AM | |||
| S2061 | Powell Gardens | 53.6 | 29.8 | 29.8 | 53.6 | 17.990574 | 47.25133 | 13 | 11:00 AM | |||
| S2062 | Moose Inc | 37.9 | 27.9 | 27.9 | 37.9 | 27.1598 | 33.84859 | 9 | 3:00 PM | |||
| S2063 | Schor Garden | 37 | 31.3 | 31.3 | 37 | 28.966417 | 33.97611 | 14 | 10:00 AM | |||
| S2064 | Starkville | 76.8 | 51.4 | 51.4 | 76.8 | 49.456608 | 64.52104 | 25 | 9:00 PM | |||
| S2066 | Combate | 88.2 | 72.5 | 72.5 | 98.07435 | 70.03994 | 75.7056 | |||||
| S2067 | Bosque Seco | M | M | |||||||||
| S2068 | SHAGBARK HILLS | 34.5 | 19.8 | 7.088899 | 25.569588 | 10.835501 | 33.47821 | 28 | 2:00 AM | |||
| S2069 | Hubbard Brook | M | M | 11 | 8:00 AM | |||||||
| S2070 | Scott | 76.3 | 56.8 | 56.8 | 76.3 | 47.506363 | 64.78357 | 23 | 11:00 AM | |||
| S2072 | Eros Data Center | 29.1 | 16.3 | 1.9738799 | 19.2 | 10.647228 | 24.58638 | 27 | 5:00 AM | |||
| S2075 | McAllister Farm | 69.8 | 49.1 | 49.1 | 69.8 | 41.19958 | 61.64297 | 18 | 11:00 PM | |||
| S2076 | Allen Farms | 71.2 | 47.8 | 47.8 | 71.2 | 42.060913 | 63.124474 | 16 | 1:00 PM | |||
| S2077 | Eastview Farm | 69.4 | 55.8 | 55.8 | 69.4 | 43.262215 | 61.338352 | 16 | 11:00 AM | |||
| S2078 | Bragg Farm | 70.9 | 53.8 | 53.8 | 70.9 | 41.916447 | 61.63918 | 15 | 3:00 AM | |||
| S2079 | Mammoth Cave | 63 | 48.7 | 47.576653 | 63 | 40.347977 | 59.956665 | 14 | 9:00 AM | |||
| S2082 | Tnc Fort Bayou | 78.3 | 50.9 | 50.9 | 78.3 | 50.628902 | 65.136955 | |||||
| S2083 | Uapb Campus-PB | 70.2 | 50 | 50 | 70.2 | 40.97463 | 64.10138 | 19 | 9:00 AM | |||
| S2084 | Uapb-Marianna | M | M | |||||||||
| S2085 | Uapb-Earle | 67.6 | 47.7 | 42.786762 | 67.6 | 40.511887 | 63.595825 | 24 | 4:00 PM | |||
| S2086 | Silver City | 78.8 | 58.3 | 58.3 | 78.8 | 52.16295 | 65.76741 | 24 | 8:00 PM | |||
| S2087 | North Issaquena | 79.3 | 58.8 | 58.8 | 79.3 | 51.259018 | 65.16498 | 26 | 8:00 PM | |||
| S2088 | Shenandoah | 62.6 | 31.1 | 31.1 | 62.6 | 27.426369 | 42.214645 | 18 | 11:00 AM | |||
| S2089 | Reynolds Homestead | 72.1 | 31.1 | 31.1 | 72.1 | 29.810528 | 39.04101 | 11 | 3:00 PM | |||
| S2090 | Uapb Point Remove | 69.1 | 43.7 | 41.482983 | 69.1 | 36.96921 | 61.224148 | 22 | 2:00 PM | |||
| S2091 | Uapb Dewitt | 70.9 | 53.2 | 53.2 | 70.9 | 42.535442 | 64.58866 | 21 | 7:00 PM | |||
| S2092 | Abrams | -69.3 | -90.6 | -121.39456 | -72.8 | -95.85816 | -79.629524 | 23 | 8:00 AM | |||
| S2093 | Phillipsburg | 43.2 | 25.7 | 14.627537 | 41.54367 | 14.204418 | 25.542286 | 28 | 4:00 AM | |||
| S2094 | Centralia Lake | 39 | 26.4 | 19.09863 | 33.097313 | 12.8887615 | 33.699574 | 27 | 12:00 AM | |||
| S2096 | Kainaliu | 75.9 | 63.7 | 63.7 | 75.9 | 53.245403 | 67.69513 | 9 | 2:00 PM | |||
| S2097 | Kukuihaele | 76.5 | 59.5 | 59.5 | 76.5 | 52.323597 | 68.06493 | 7 | 12:00 PM | |||
| S2099 | Waimea Plain | 70.9 | 50.4 | 50.4 | 70.9 | 43.108154 | 62.755726 | 12 | 2:00 PM | |||
| S2101 | Silver Sword | 60.4 | 44.2 | 42.883587 | 60.4 | 13.835174 | 46.524765 | 15 | 2:00 PM | |||
| S2102 | Mana House | 67.5 | 50.9 | 50.9 | 67.5 | 36.156113 | 61.11916 | 13 | 2:00 PM | |||
| S2104 | Reese Center | 52.5 | 36.5 | 28.06762 | 52.5 | 28.643394 | 38.906292 | 24 | 8:00 AM | |||
| S2105 | Levelland | 49.8 | 36.7 | 29.283901 | 47.842293 | 28.191374 | 38.57031 | 23 | 1:00 PM | |||
| S2106 | Lehman | 52 | 36.1 | 27.097345 | 52 | 27.464909 | 37.886166 | 24 | 9:00 AM | |||
| S2107 | Crossroads | 51.4 | 33.8 | 28.622696 | 51.4 | 27.570486 | 36.940742 | 23 | 4:00 AM | |||
| S2108 | Willow Wells | 52.9 | 35.8 | 27.279877 | 52.9 | 27.336723 | 33.79734 | 26 | 7:00 AM | |||
| S2109 | Sandy Ridge | 76.6 | 57.2 | 57.2 | 76.6 | 47.992264 | 65.092545 | 23 | 9:00 AM | |||
| S2110 | Mayday | 79.3 | 60.4 | 60.4 | 79.3 | 52.082817 | 65.16498 | 27 | 1:00 PM | |||
| S2111 | Johnson Farm | 47.5 | 16.3 | 8.023993 | 44.66578 | 11.772832 | 23.656645 | 21 | 12:00 AM | |||
| S2113 | Cullman-NAHRC | 72.7 | 41.7 | 41.7 | 72.7 | 40.912045 | 61.321926 | 18 | 3:00 PM | |||
| S2114 | Livingston-UWA | 78.6 | 51.6 | 51.6 | 78.6 | 50.82441 | 62.400627 | 12 | 1:00 PM | |||
| S2115 | Tuskegee | 76.1 | 44.6 | 44.6 | 76.1 | 43.80182 | 59.78843 | 13 | 11:00 AM | |||
| S2116 | Lovelock NNR | 40.8 | 13.6 | 5.301001 | 40.8 | 9.932436 | 31.933441 | 10 | 5:00 PM | |||
| S2117 | Conrad Ag Rc | 9.7 | 2.3 | -6.5065427 | 7.5 | -1.4242812 | 6.271204 | 12 | 1:00 PM | |||
| S2118 | Violett | 13.1 | -4.7 | -9.804529 | 9 | -9.29375 | 7.052359 | 15 | 2:00 PM | |||
| S2119 | Moccasin | 41.5 | 8.2 | 8.2 | 39.9 | 5.6308303 | 23.611343 | 13 | 12:00 PM | |||
| S2120 | Sidney | 10.4 | -2.6 | -15.657514 | 10.4 | -7.761546 | 1.6562474 | 12 | 2:00 AM | |||
| S2121 | Jordan | 18.9 | 0 | -4.9792323 | 11.8 | -3.4348083 | 10.733632 | 10 | 3:00 PM | |||
| S2122 | Fortuna | M | M | |||||||||
| S2123 | Upper Bethlehem | 86 | 77 | 77 | 96.40815 | 74.20304 | 77.05878 | 22 | 8:00 AM | |||
| S2125 | Circleville | 39.9 | 22.1 | 18.428799 | 38.3 | 20.727232 | 32.20305 | 19 | 4:00 PM | |||
| S2126 | Ephraim | 36.1 | 11.7 | 11.7 | 36.1 | 8.581647 | 27.27476 | 7 | 8:00 PM | |||
| S2127 | Holden | 42.4 | 18.7 | 14.439777 | 39.121277 | 14.943203 | 35.04406 | 12 | 10:00 PM | |||
| S2128 | Enterprise | 39.4 | 19.6 | 19.6 | 36.413143 | 18.646046 | 34.541855 | 10 | 11:00 PM | |||
| S2129 | Milford | 38.1 | 17.4 | 16.44454 | 31.63028 | 15.724481 | 34.287018 | 15 | 2:00 PM | |||
| S2130 | Eastland | 42.4 | 19.6 | 9.480989 | 36.797367 | 9.744074 | 25.44141 | 18 | 5:00 PM | |||
| S2131 | Green River | 45.1 | 12.4 | 12.4 | 45.1 | 3.8484776 | 21.981457 | 9 | 12:00 AM | |||
| S2132 | Price | 38.3 | 20.8 | 14.465464 | 38.3 | 1.3003907 | 19.519802 | 14 | 12:00 PM | |||
| S2133 | Morgan | 30 | 10 | 3.0108116 | 30 | 6.3947835 | 25.081646 | 10 | 7:00 PM | |||
| S2134 | Mountain Home | 32 | 16 | 6.639464 | 30.4 | 5.890595 | 20.738686 | 10 | 4:00 AM | |||
| S2135 | Blue Creek | 35.6 | 20.8 | 14.840803 | 32.00589 | 17.043816 | 22.50551 | 10 | 11:00 AM | |||
| S2136 | Cache Junction | 36.7 | 17.6 | 17.6 | 36.7 | 14.654663 | 28.080435 | 9 | 11:00 PM | |||
| S2137 | Nephi | 36.1 | 14.2 | 6.3791623 | 32.310562 | 9.717475 | 32.03076 | 14 | 11:00 AM | |||
| S2138 | Alkali Mesa | 45.1 | 30.9 | 28.042141 | 41.806377 | 10.812639 | 26.046648 | 16 | 5:00 PM | |||
| S2139 | West Summit | 45.1 | 21.6 | 14.314623 | 39.39822 | 5.096879 | 25.919142 | 18 | 2:00 PM | |||
| S2140 | Mccracken Mesa | 48.6 | 29.3 | 22.739397 | 48.6 | 12.274871 | 26.093323 | 12 | 6:00 PM | |||
| S2141 | Kyle Canyon | 41.2 | 25.9 | 25.9 | 41.2 | 17.110924 | 39.87763 | 16 | 11:00 PM | |||
| S2142 | Trough Springs | 37.4 | 28.6 | 28.6 | 37.4 | -2.472587 | 37.14467 | 8 | 6:00 PM | |||
| S2144 | Pine Nut | 38.7 | 31.3 | 31.3 | 38.7 | 19.646408 | 36.862404 | 8 | 11:00 PM | |||
| S2145 | Charkiln | 41 | 19.4 | 7.730691 | 41 | |||||||
| S2146 | Lovell Summit | 41.7 | 25.5 | 15.656209 | 41.177063 | |||||||
| S2147 | Ku-Nesa | 43.3 | 29.5 | 24.937153 | 37.665253 | 15.429424 | 36.580273 | 25 | 7:00 AM | |||
| S2148 | Jordan Valley Cwma | 46.4 | 30.2 | 28.077967 | 41.893547 | 17.024328 | 21.971453 | 20 | 12:00 PM | |||
| S2149 | Marble Creek | 35.6 | 29.7 | 22.837 | 31.757221 | 14.40717 | 33.6 | 17 | 8:00 AM | |||
| S2150 | Chicken Ridge | 28.6 | 12 | 0.19540222 | 21.22268 | 0.3177879 | 17.251486 | 19 | 9:00 PM | |||
| S2151 | Buffalo Jump | 22.8 | 1.2 | -0.33648512 | 22.8 | -2.7563248 | 14.484604 | 7 | 11:00 PM | |||
| S2152 | Grantsville | 44.1 | 25.7 | 14.970615 | 39.063385 | 19.989285 | 32.49781 | 24 | 7:00 PM | |||
| S2153 | Park Valley | 38.1 | 15.6 | 7.654577 | 34.999683 | 10.8119135 | 24.192818 | 11 | 12:00 PM | |||
| S2154 | Split Mountain | 36.7 | 16.2 | 16.2 | 36.7 | 12.219254 | 23.095707 | 9 | 1:00 AM | |||
| S2155 | Little Red Fox | 37.4 | 17.8 | 12.568544 | 36.3 | 6.98151 | 19.321821 | 10 | 12:00 PM | |||
| S2156 | Manderfield | 41.5 | 14.2 | 6.129011 | 36.3 | 11.044375 | 33.537838 | 18 | 3:00 PM | |||
| S2157 | Panguitch | 36.7 | 14 | 14 | 32.4 | 12.593392 | 31.62419 | 21 | 9:00 PM | |||
| S2158 | Spooky | 43 | 24.1 | 18.198416 | 43 | 11.28101 | 33.10517 | 13 | 4:00 PM | |||
| S2159 | Sand Hollow | 49.3 | 34.5 | 34.5 | 48.9 | 25.63366 | 42.84539 | 13 | 4:00 PM | |||
| S2160 | Grouse Creek | 36.5 | 14.2 | 6.906934 | 30.074955 | 10.256676 | 25.41838 | 18 | 2:00 PM | |||
| S2161 | Cave Valley | 43.3 | 17.8 | 12.499844 | 39.600983 | 15.872385 | 35.43552 | 14 | 1:00 PM | |||
| S2162 | Vermillion | 39.7 | 23.9 | 23.9 | 39.7 | 17.521067 | 32.28376 | 10 | 12:00 PM | |||
| S2163 | Tule Valley | 44.6 | 25.5 | 25.5 | 42.955795 | 23.759937 | 33.63323 | 17 | 6:00 PM | |||
| S2164 | Hals Canyon | 41.2 | 13.6 | 7.916831 | 35.8 | 10.453341 | 32.098248 | 18 | 3:00 PM | |||
| S2165 | Goshute | 38.5 | 16.2 | 8.9736185 | 37.4 | 13.0144 | 30.838207 | 9 | 2:00 PM | |||
| S2166 | Harms Way | 41.9 | 20.8 | 12.760153 | 38.9834 | 5.1809516 | 29.576815 | 12 | 5:00 PM | |||
| S2167 | Dugway | 43.5 | 23.7 | 18.905067 | 39.069084 | 20.669588 | 32.909378 | 23 | 6:00 PM | |||
| S2168 | Jornada Exp Range | 68 | 48.7 | 45.83899 | 68 | 17.392233 | 26.964022 | 13 | 3:00 PM | |||
| S2169 | Los Lunas PMC | 59 | 31.6 | 31.6 | 59 | 22.874838 | 26.740154 | 8 | 10:00 AM | |||
| S2171 | Sevilleta | 61 | 32.4 | 27.89029 | 61 | 22.599205 | 27.227846 | 11 | 12:00 PM | |||
| S2172 | Alcalde | 56.3 | 24.1 | 24.1 | 56.3 | 18.238081 | 24.934504 | 13 | 12:00 PM | |||
| S2173 | Isbell Farms | 71.4 | 56.7 | 56.7 | 71.4 | 46.26573 | 64.22766 | 18 | 1:00 PM | |||
| S2174 | Dee River Ranch | 77.2 | 49.5 | 48.737686 | 77.2 | 45.489765 | 62.528793 | 19 | 11:00 PM | |||
| S2175 | Wedowee | 72 | 39.7 | 39.7 | 72 | 38.919056 | 56.42385 | 18 | 12:00 PM | |||
| S2176 | Selma | 78.8 | 46.8 | 46.8 | 78.8 | 45.16571 | 62.755726 | 13 | 12:00 PM | |||
| S2177 | Broad Acres | 77.9 | 44.1 | 44.1 | 77.9 | 42.485096 | 60.76458 | 20 | 12:00 PM | |||
| S2178 | Morris Farms | 77 | 41.4 | 41.4 | 77 | 40.87776 | 60.464382 | 14 | 1:00 PM | |||
| S2179 | Sudduth Farms | 72.5 | 46 | 46 | 72.5 | 43.236637 | 62.23504 | 17 | 11:00 AM | |||
| S2180 | Koptis Farms | 78.8 | 54.1 | 54.1 | 78.8 | 53.54773 | 63.728294 | 17 | 1:00 PM | |||
| S2181 | Perdido Riv Farms | 77.9 | 50.7 | 50.7 | 77.9 | 50.42914 | 61.216484 | 17 | 10:00 AM | |||
| S2182 | River Road Farms | 76.1 | 41.9 | 41.9 | 76.1 | 41.31064 | 61.597294 | 12 | 1:00 PM | |||
| S2183 | Desert Center | 74.1 | 47.8 | 47.8 | 74.1 | 32.42146 | 37.428154 | 10 | 12:00 PM | |||
| S2184 | Ford Dry Lake | 74.8 | 51.3 | 51.3 | 74.8 | 30.991127 | 37.054707 | 12 | 1:00 AM | |||
| S2185 | Essex | 66 | 43.9 | 41.170567 | 66 | 23.420849 | 32.295372 | 15 | 3:00 PM | |||
| S2186 | Shadow Mtns | 59 | 34 | 28.919064 | 59 | 14.966602 | 36.900734 | 14 | 1:00 PM | |||
| S2187 | Deep Springs | 43.3 | 27.1 | 23.44287 | 42.073853 | 17.58681 | 31.073637 | 17 | 9:00 PM | |||
| S2188 | Corozal | 84.7 | 74.3 | 74.3 | 89.330124 | 67.151634 | 74.73139 | 16 | 1:00 PM | |||
| S2189 | Cochora Ranch | 61 | 46.9 | 46.798 | 61 | 34.341785 | 51.73015 | 22 | 11:00 AM | |||
| S2190 | Death Valley Jct | 61.2 | 36.3 | 33.246937 | 61.2 | 24.719679 | 37.901657 | 21 | 4:00 PM | |||
| S2191 | Doe Ridge | 31.5 | 16.9 | 16.9 | 31.5 | 8.842926 | 31.251413 | 18 | 9:00 PM | |||
| S2192 | Eagle Lake | 39.9 | 32.2 | 31.719112 | 39.9 | 23.961094 | 34.434723 | 11 | 12:00 AM | |||
| S2193 | Schell-Osage | 57.7 | 31.5 | 31.5 | 57.7 | 19.980759 | 54.482944 | 19 | 3:00 PM | |||
| S2194 | Journagan Ranch | 59 | 34.2 | 31.389044 | 59 | 26.453772 | 55.381954 | 17 | 3:00 PM | |||
| S2195 | CMRB LTAR | 62.1 | 29.7 | 25.735424 | 62.1 | 21.452557 | 53.158592 | 23 | 11:00 AM | |||
| S2196 | Platteville | 43.5 | 24.4 | 12.652923 | 40.086983 | 19.69859 | 41.61216 | 27 | 2:00 PM | |||
| S2197 | CPER | 42.8 | 17.4 | 11.613074 | 40.034325 | 12.91091 | 24.065485 | 15 | 1:00 PM | |||
| S2198 | Cook Farm Field D | 40.5 | 33.6 | 26.586018 | 34.772972 | 29.228443 | 34.654743 | 19 | 12:00 PM | |||
| S2199 | Riesel | 71.6 | 44.8 | 41.508366 | 71.6 | 39.3305 | 62.303707 | 28 | 12:00 PM | |||
| S2200 | San Angelo | 58.5 | 40.1 | 40.1 | 58.5 | 34.431416 | 53.35984 | 17 | 10:00 AM | |||
| S2201 | Knox City | 59 | 36.7 | 33.84235 | 59 | 31.998493 | 49.576923 | 25 | 7:00 AM | |||
| S2202 | Vernon | 63.9 | 36.7 | 33.46362 | 63.9 | 30.80636 | 49.756214 | 27 | 4:00 AM | |||
| S2203 | Stephenville | 61.7 | 41.5 | 38.912113 | 61.7 | 35.796032 | 54.44684 | 23 | 8:00 AM | |||
| S2204 | Uvalde | 85.6 | 55 | 55 | 84.259445 | 37.054707 | 61.526527 | 18 | 6:00 PM | |||
| S2205 | Weslaco | 87.6 | 65.3 | 65.3 | 88.77771 | 60.825623 | 66.800674 | 21 | 12:00 PM | |||
| S2206 | Kingsville | 87.3 | 56.8 | 56.8 | 88.93407 | 55.383972 | 69.295135 | 19 | 10:00 AM | |||
| S2207 | Beaumont | 83.7 | 60.4 | 60.4 | 85.378746 | 52.082817 | 69.962364 | 19 | 10:00 AM | |||
| S2212 | Kanuti Lake | 16 | 9 | |||||||||
| S2213 | Checkers Creek | M | M | 20 | 5:00 PM | |||||||
| S2214 | Ash Valley | 40.6 | 31.6 | 23.146269 | 34.27596 | 22.955698 | 32.8161 | 26 | 12:00 PM | |||
| S2215 | Bodie Hills | 39.9 | 19.9 | 19.9 | 35.95547 | 3.245504 | 31.615137 | 17 | 11:00 AM | |||
| S2216 | Buckhorn | 33.3 | 25.7 | 17.1118 | 25.825636 | 19.070995 | 29.504004 | 18 | 8:00 AM | |||
| S2217 | Monocline Ridge | 60.3 | 49.1 | 48.343628 | 60.3 | 42.796177 | 52.302094 | 26 | 11:00 AM | |||
| S2218 | French Gulch | 38.7 | 35.6 | 29.567911 | 38.7 | 35.6 | 38.7 | 26 | 12:00 AM | |||
| S2219 | Stubblefield | 58.6 | 46 | 44.650005 | 58.6 | 29.937855 | 51.420033 | 26 | 1:00 PM | |||
| S2220 | Elsberry PMC | 61.3 | 34.2 | 30.695719 | 61.3 | 24.389738 | 54.78719 | 14 | 2:00 PM | |||
| S2223 | Carver Farm | 62.2 | 28.4 | 28.4 | 62.2 | 26.895529 | 54.90802 | 19 | 11:00 AM | |||
| S2224 | Busby Farm | 63.1 | 26.4 | 26.4 | 63.1 | 25.16353 | 55.05791 | 16 | 11:00 AM | |||
| S2225 | Mark Twain HS | 58.6 | 30.7 | 24.039946 | 58.6 | 23.399437 | 52.16295 | 22 | 2:00 PM | |||
| S2226 | Twin Pines Conservation | 60.8 | 36.3 | 51.4 | 60.8 | 28.480392 | 57.376633 | |||||
| S2227 | Shaw Nature Reserve | 63.3 | 34.2 | 34.2 | 63.3 | 27.80489 | 55.95897 | 20 | 5:00 PM | |||
| S2228 | Nacogdoches | 78.4 | 50.9 | 50.9 | 78.4 | 41.839344 | 66.2426 | 17 | 3:00 PM | |||
| S2229 | Ruby | 37.6 | -2 | -2 | 33.1 | -6.760765 | 31.499449 | 21 | 2:00 PM | |||
| S2230 | LTSP | 60.6 | 36.7 | 36.7 | 60.6 | 28.866379 | 57.4556 | 6 | 2:00 PM | |||
| S2231 | Sinkin Forest | 59.5 | 32.7 | 31.490248 | 59.5 | 26.603142 | 55.88702 | 16 | 3:00 PM | |||
| S2232 | Miradero | 89.1 | 71.2 | 71.2 | 99.733955 | 69.00661 | 75.98961 | 12 | 2:00 PM | |||
| S2233 | Thoreau | 54.7 | 22.5 | 22.157875 | 54.7 | 15.156367 | 23.421242 | 21 | 2:00 PM | |||
| S2234 | Vallecitos | 59.4 | 46.8 | 46.8 | 59.4 | 43.13825 | 52.620934 | 31 | 1:00 PM | |||
| S2235 | Adobe | 39.4 | 5.7 | 5.7 | 34.32736 | -2.5827377 | 33.11136 | 23 | 1:00 PM | |||
| S2236 | Rancheria | 37.4 | 17.2 | 17.2 | 37.4 | 11.0799265 | 31.907373 | 13 | 8:00 PM | |||
| S2237 | Alabama Hills | 40.3 | 33.3 | 30.862001 | 40.1 | 16.88961 | 36.627083 | 10 | 7:00 AM |
The data presented here provided by IEM API webservice: daily.json. A simple CSV option exists as well. |
fr_symbolab_com_solver_function-inverse-calculator_inverser_20y_3D_5Cfrac_7Bx_5E2_2Bx_2B1_7D_7Bx_7D_ | inequality | SIMILARITY: 0.4241
|
| ▭\:\longdivision{▭} | \times \twostack{▭}{▭} | + \twostack{▭}{▭} | - \twostack{▭}{▭} | \left( | \right) | \times | \square\frac{\square}{\square} |
|
| - \twostack{▭}{▭} | \lt | 7 | 8 | 9 | \div | AC |
| + \twostack{▭}{▭} | \gt | 4 | 5 | 6 | \times | \square\frac{\square}{\square} |
| \times \twostack{▭}{▭} | \left( | 1 | 2 | 3 | - | x |
| ▭\:\longdivision{▭} | \right) | . | 0 | = | + | y |
function-inverse-calculator
inverser y=\frac{x^2+x+1}{x}
fr
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site_chimpvine_com_article_greater-than-sign_ | inequality | SIMILARITY: 0.4084
Greater Than Sign – Symbol, Meaning, and Examples
Table of Contents
Introduction
Greater than Sign
In the realm of mathematics and comparisons, the symbol of greater than, denoted as “>”, plays a crucial role in indicating the relationship between two values. Understanding how to use this symbol and its distinction from the greater than or equal to along with the less than symbol is essential for various mathematical and real-life applications.
Analogy of Definition
What is the Greater Than Sign?
The greater than symbol, “>”, is used to represent a comparison between two values, indicating that the first value is larger than the second value. It is an essential component in mathematical expressions, equations, and inequalities, signifying the relationship of magnitude between the given quantities.
Method
How to Use the Greater Than Symbol
When using the greater than symbol, it is important to place the larger value on the left side of the symbol and the smaller value on the right side. For example, when comparing 5 and 3, the expression would be written as 5 > 3, indicating that 5 is greater than 3.
Difference Between Greater Than and Greater Than or Equal To
Examples
Example 1: Comparing 5 and 4
5 > 4
In this comparison, the greater than symbol signifies that 5, which is in the left, is larger than 4.
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Quiz
Tips and Tricks
1. Think Big
Tip: Imagine the greater than sign as an alligator’s mouth that always wants to eat the bigger number. When you see the greater than sign (>), remember it’s like an alligator always looking for the bigger number to chomp on!
2. Read Carefully
Tip: When interpreting the greater than sign, remember that it points towards the larger quantity. For example, in the expression 8 > 5, read it as “8 is greater than 5.”
3. Visualize Comparisons
Tip: Picture the greater than sign as an open mouth, ready to gobble up the larger number. This mental image can help you remember its directionality.
4. Apply in Number Lines
Tip: On a number line, numbers to the right of a point are greater than the point itself. Similarly, on a number line, the arrow points to the right, indicating the direction of greater values.
5. Understand Real-World Comparisons
Tip: Relate the greater than sign to real-world scenarios, such as comparing temperatures, ages, distances, or quantities of items. For instance, if you have 5 apples and your friend has 3, you can say “I have more apples than my friend” using the greater than sign.
Real life application
Story: “The Math Olympiad Challenge with Greater Than”
The Math Olympiad Challenge was an annual event that brought together students from various schools to compete in mathematical competitions. The concept of the greater than symbol played a significant role in the challenges presented to the participants.
Challenge 1: The Speed Race
In one of the challenges, the participants were tasked with comparing the speeds of different vehicles. They had to use the greater than symbol to accurately represent the relationship between the speeds and determine the fastest vehicle in each scenario.
Challenge 2: The Temperature Analysis
Another challenge involved analyzing temperature data from different cities. The students were required to use the greater than symbol to compare the temperatures and identify the cities with the highest and lowest temperatures.
Challenge 3: The Test Scores Competition
The final challenge focused on evaluating test scores of students. The participants had to utilize the greater than symbol to compare the scores and determine the highest achievers in each category.
FAQ's
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