Data assimilation is a term that is most closely associated with the atmospheric sciences. It
arises from the meteorological custom of constructing daily weather maps which show how …

The use of remote sensing information in operational hydrology is relatively limited, but
specific examples can be cited for determining precipitation, soil moisture, groundwater …

Spatio-temporal patterns of soil moisture status highly affect the heterogeneity of soil water
and solute transport and leaching of chemicals to the groundwater. In order to quantify and …

A study has been carried out to develop and evaluate a system to estimate soil moisture
content in the root-zone using active microwaves from the European Remote Sensing …

Spatially well-distributed information on the regional fraction of snow-covered area (SCA) is
important to snow hydrology during the melting season. One approach for regional SCA …

This study maps the geographic extent of intermittent and seasonal snow cover in the
western United States using thresholds of 2000–2010 average snow persistence derived …

Soil moisture is an important and highly variable component of the hydrologic cycle. Active
microwave remote sensing offers the potential for frequent observation of soil moisture at …

In humid, well-vegetated areas, such as in the northeastern US, runoff is most commonly
generated from relatively small portions of the landscape becoming completely saturated …

This paper examines the utilization of surface temperature as a variable which can be
assimilated in off‐line land surface hydrological models. The connection between the …

Creation of, application of, and animated discussion of mathematical models of watershed
processes have been favorite pastimes of hydrologists for many decades. The original …