Soil moisture (SM) is a key hydrologic state variable that is of significant importance for
numerous Earth and environmental science applications that directly impact the global …

Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …

Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

Incomplete representations of physical processes often lead to structural errors in process-
based (PB) hydrologic models. Machine learning (ML) algorithms can reduce streamflow …

The objective of this study is to evaluate the relative potential of spatially distributed surface
and root zone soil moisture estimates in calibration of Soil and Water Assessment Tool …

Soil moisture is an important parameter required for agricultural drought monitoring and
climate change models. Passive microwave remote sensing technology has become an …

A hydrologic model, calibrated using only streamflow data, can produce acceptable
streamflow simulation at the watershed outlet yet unrealistic representations of water …

Lack of geospecificity or local relevance is a major limitation in contemporary large-scale
flood modeling frameworks. There is a little practical value for configuring a large-scale …

A hydrological model is a useful tool to study the effects of human activities and climate
change on hydrology. Accordingly, the performance of hydrological modeling is vitally …

The Soil and Water Assessment Tool (SWAT) uses hydrologic response units (HRUs) as the
basic unit of all model calculations. ArcSWAT, the ArcGIS interface for SWAT, allows users to …