West Africa is known to be particularly vulnerable to climate change due to high climate
variability, high reliance on rain-fed agriculture, and limited economic and institutional …

The high climate sensitivity of hydrologic systems, the importance of those systems to
society, and the imprecise nature of future climate projections all motivate interest in …

In mountain terrain, well-configured high-resolution atmospheric models are able to simulate
total annual rain and snowfall better than spatial estimates derived from in situ observational …

Mountain snowpack serves as an immense natural water reservoir, and knowledge of snow
conditions helps predict seasonal water availability and offers critical early warning of …

Precipitation process is generally considered to be poorly represented in numerical
weather/climate models. Statistical downscaling (SD) methods, which relate precipitation …

A large number of historical simulations and future climate projections are available from
Global Climate Models, but these are typically of coarse resolution, which limits their …

Hydrologic modeling and other geophysical applications are sensitive to precipitation
forcing data quality, and there are known challenges in spatially distributing gauge-based …

Statistical downscaling and dynamical downscaling are two approaches to generate high‐
resolution regional climate models based on the large‐scale information from either …

Climate change projections consistently demonstrate that warming temperatures and
dwindling seasonal snowpack will elicit cascading effects on ecosystem function and water …

The phase of precipitation when it reaches the ground is a first-order driver of hydrologic
processes in a watershed. The presence of snow, rain, or mixed-phase precipitation affects …