R. Loritz

Scaling and Uncertainty in Soil Moisture Modelling: A Probabilistic Deep Learning Perspective

A probabilistic deep learning framework based on Gaussian Mixture Long Short‐Term Memory networks (GM‐LSTMs) is applied to model soil moisture dynamics and uncertainty across the contiguous United States using in situ observations from the International Soil Moisture Network to demonstrate that probabilistic data‐drive...