Globally, winter temperatures are rising, and snowpack is shrinking or disappearing entirely.
Despite previous research and published literature reviews, it remains unknown whether …

This study examines whether deep learning models can produce reliable future projections
of streamflow under warming. We train a regional long short‐term memory network (LSTM) …

The increasing prevalence of low snow conditions in a warming climate has attracted
substantial attention in recent years, but a focus exclusively on low snow leaves high snow …

Continued climate warming is reducing seasonal snowpacks in the western United States,
where> 50% of historical water supplies were snowmelt‐derived. In the Upper Colorado …

Water budgets are essential for characterizing water supplies from snow‐dominated upland
catchments where data are sparse, groundwater systems are complex, and measurements …

Climate warming induces shifts from snow to rain in cold regions, altering snowpack
dynamics with consequent impacts on streamflow that raise challenges to many aspects of …

Water allocation models (WAM) can capture complex feedbacks between water
infrastructure, water supply, water demand, and water rights structure. They are an important …

Terminal lakes in the Great Basin (GB) of the western US host critical wildlife habitat and
food for migrating birds and can be associated with serious human health and economic …

Advances in hydrological modeling and numerical weather forecasting have allowed hydro-
climate services to provide accurate impact simulations and skillful forecasts that can drive …

Predicting future streamflow change is essential for water resources management and
understanding the impacts of projected climate and land use changes on water availability …