Sujan Chandra Mondol

Improving National Water Model Evapotranspiration Forecasts Using Machine Learning Post-Processing: A California Case Study

Evapotranspiration (ET) forecasts from the U.S. National Water Model (NWM) carry systematic biases that are most apparent in water-stressed, intensively managed regions. This study develops a machine learning (ML) post-processing framework that bias-corrects 1–7 day accumulated ET (ACCET) forecasts from the NWM medium-...