Researchers have attempted to use machine learning algorithms to replace physically
based models for streamflow prediction. Although existing studies have contributed to …

Abstract Climate Data Records of soil moisture are fundamental for improving our
understanding of long-term dynamics in the coupled water, energy, and carbon cycles over …

Flood simulation with two-dimensional hydrodynamic models is subject to different sources
of uncertainties in model configuration, boundary conditions, and model parametrization …

Reservoir Evaporation in the Western United States: Current Science, Challenges, and
Future Needs in: Bulletin of the American Meteorological Society Volume 99 Issue 1 (2018) …

This study evaluates the grid-length dependency of the Weather Research and Forecasting
(WRF) Model precipitation performance for two cases in the Southern Great Plains of the …

Flood is one of the most catastrophic natural disasters in the United States, particularly in the
Southeast states where hurricanes and tropical storms are most prevalent, causing billions …

Abstract The National Weather Service (NWS) forecasts floods at approximately 3,600
locations across the United States (US). However, the river network, as defined by the 1 …

Drought is a complex and slow-moving disaster that is difficult to monitor and define. This
study, therefore, aims to demonstrate the characteristics of recent droughts occurring from …

Numerical climate models have been upgraded by the improved description of terrestrial
hydrological processes across different scales. The goal of this study is to explore the role of …

Urban areas often experience high precipitation rates and heights associated with flash
flood events. Atmospheric and hydrological models in combination with remote-sensing and …