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cs.LG2025
Fine Flood Forecasts: Incorporating local data into global models through fine-tuning
Emil Ryd, Grey Nearing
Floods are the most common form of natural disaster and accurate flood forecasting is essential for early warning systems. Previous work has shown that machine learning (ML) models…
physics.ao-ph2025
A Physically Driven Long Short Term Memory Model for Estimating Snow Water Equivalent over the Continental United States
Arun M. Saranathan, Mahmoud Saeedimoghaddam, Brandon Smith +3
Snow is an essential input for various land surface models. Seasonal snow estimates are available as snow water equivalent (SWE) from process-based reanalysis products or locally f…