2 papers
cs.LG2025
Tackling water table depth modeling via machine learning: From proxy observations to verifiability
Joseph Janssen, Ardalan Tootchi, Ali A. Ameli
Spatial patterns of water table depth (WTD) play a crucial role in shaping ecological resilience, hydrological connectivity, and human-centric systems. Generally, a large-scale (e.…
stat.ME2025
A Gaussian Sliding Windows Regression Model for Hydrological Inference
Stefan Schrunner, Parham Pishrobat, Joseph Janssen +4
Statistical models are an essential tool to model, forecast and understand the hydrological processes in watersheds. In particular, the understanding of time lags associated with t…