Efficient Baseline for Quantitative Precipitation Forecasting in
  Weather4cast 2023
Akshay Punjabi Pablo Izquierdo Ayala
Accurate precipitation forecasting is indispensable for informed
decision-making across various industries. However, the computational demands
of current models raise environmental concerns. We address the critical need
for accurate precipitation forecasting while considering the environmental
impact of computational resources and propose a minimalist U-Net architecture
to be used as a baseline for future weather forecasting initiatives.