This is a preview. Log in through your library . Abstract The concepts of model benchmarking, model agility, and large-sample hydrology are becoming more prevalent in hydrologic and land surface ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

Alonda Hines/ORNL, U.S. Dept. of Energy Sean Turner draws on his international experience and the latest deep learning tools ...

Recently, the Mountain Hydrology Group released its fifth near-real-time report on snow-water equivalent (SWE) in the Western US in 2025, and was covered in an INSTAAR press release. In essence, the ...

A research team has created simulations from coupled climate and hydrologic models that demonstrate widespread increases in the occurrences of flash flooding events across most of the United States.

This is a preview. Log in through your library . Abstract ABSTRACT Hydrologic model calibration is usually a central element of streamflow forecasting based on the ensemble streamflow prediction (ESP) ...

Shared fates and experiences in a community can help it withstand changes to water availability due to climate change, a recent study has found. The work paired a dynamic systems model of an acequia ...

LOUISVILLE, Ky. — The U.S. Army Corps of Engineers Louisville District has established a Climate Production Team — the first of its kind at a USACE district — and already the team’s work is having far ...

The Hydrology, Water Resources & Environmental Fluid Mechanics (HWR&EFM) group wants to ensure as a graduate applicant you are well-prepared for your graduate coursework. We have identified a set of ...