Contrasting with 'top-down' SSP scenarios,  outline how mesoscale and 'bottom-up' scenarios have been developed to inform spatial planning, for example, in the Netherlands. Increasing computational power has opened possibilities for large-scale 'bottom- up' simulations of people's livelihoods in the context of evolving climate change impacts, such as the migration decisions of farmers facing drought in Mexico over the coming century  and livelihood decisions of people facing coastal flooding in Bangladesh to the year 2100 . Such 'bottom-up' scenarios can generate projections about future outcomes, inform mapping and assess future vulnerability, with special emphasis on livelihoods of the poor. Researchers conclude that results of respective scenarios that aim to inform adaptation and risk reduction policies in the context of climate change have to match the frames of the stakeholder . Scenarios that assess potential future vulnerabilities and future capacities for adaptation require more attention, since many approaches for projecting future climate risk still largely overlook non-climatic drivers that determine future vulnerability and exposure .
IPCC
Climate Change 2022: Impacts, Adaptation and Vulnerability
IPCC Report