8 citations · 39 across the 15 of their papers we have counts for
3 papers · 1 filter
Multi-variable Hard Physical Constraints for Climate Model Downscaling
Jose González-Abad, Álex Hernández-García, Paula Harder +2
Global Climate Models (GCMs) are the primary tool to simulate climate evolution and assess the impacts of climate change. However, they often operate at a coarse spatial resolution…
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds
Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude +5
Pyrocumulonimbus (pyroCb) clouds are storm clouds generated by extreme wildfires. PyroCbs are associated with unpredictable, and therefore dangerous, wildfire spread. They can also…
Hard-Constrained Deep Learning for Climate Downscaling
Paula Harder, Alex Hernandez-Garcia, Venkatesh Ramesh +5
The availability of reliable, high-resolution climate and weather data is important to inform long-term decisions on climate adaptation and mitigation and to guide rapid responses…