#ClimateML
PyroStack is a new multi-band spatio-temporal sub-daily wildfire dataset for the U.S., combining satellite fire data with atmospheric, vegetation, fuel, and topography inputs to support fire spread modeling. It…

#WildfireData #GeospatialAI #ClimateML #OpenData
https://arxiv.org/abs/2609.36315
September 30, 2026 at 12:01 PM
Thrilled to make LEAP's 1st jump into #Bluesky by hi-lighting our next-gen #climate #data scientists, who spearheaded today's ClimateML Methods Workshop + brought together early-career scientists in the #NYC area to share progress @ the intersection of #climate science + #ML!

#community #diversity
November 8, 2024 at 8:15 PM
Amazing. epic effort by Nina , Natalie & Natasha compiling this comprehensive review of DA/ML for land model calibration, which has challenges that make it quite a different problem from most other #climateML work. Early days, but lots of promise here! www.authorea.com/users/840617...
Parameter Estimation in Land Surface Models: Challenges and Opportunities with Data Assimilation and Machine Learning
Accurately predicting terrestrial ecosystem responses to climate change is crucial for addressing global challenges. This relies on mechanistic modelling of ecosystem processes through Land Surface Mo...
www.authorea.com
October 8, 2024 at 6:12 PM
Join Neeraj Pandey at EuroPython for "ClimateML: Machine Learning for Climate Model Downscaling". Talk: ep2025.europython.eu/WRYUBJ
June 3, 2025 at 2:05 PM