Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds

no code implementations • 31 Oct 2023 • Justus C. Will, Andrea M. Jenney, Kara D. Lamb, Michael S. Pritchard, Colleen Kaul, Po-Lun Ma, Kyle Pressel, Jacob Shpund, Marcus van Lier-Walqui, Stephan Mandt

Thorough analysis of local droplet-level interactions is crucial to better understand the microphysical processes in clouds and their effect on the global climate.

Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds

no code implementations • 22 Nov 2022 • Kenza Tazi, Emiliano Díaz Salas-Porras, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert

The pipeline's first two components, a pyroCb database and a pyroCb forecast model, are presented.

Identifying the Causes of Pyrocumulonimbus (PyroCb)

no code implementations • 16 Nov 2022 • Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, Nis Meinert

A first causal discovery analysis from observational data of pyroCb (storm clouds generated from extreme wildfires) is presented.

Causal Discovery