We explore and review the value of soil moisture measurements in vadose zone hydrology
with a focus on the field and catchment scales. This review is motivated by the increasing …

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 …

Hydrology in Practice Page 1 Page 2 Hydrology in Practice Page 3 Page 4 Hydrology in
Practice Third edition Elizabeth M. Shaw Formerly of the Department of Civil Engineering …

This study explores the benefits of assimilating SMOS soil moisture retrievals for hydrologic
modeling, with a focus on soil moisture and streamflow simulations in the Murray Darling …

Climate change, air quality, and environmental degradation are important societal
challenges for the Twenty-first Century. These challenges require an intelligent response …

This paper focuses on estimating river bathymetry for retrieving river discharge from the
upcoming Surface Water and Ocean Topography (SWOT) satellite mission using a data …

Land surface models are usually biased in at least a subset of the simulated variables even
after calibration. Bias estimation may therefore be needed for data assimilation. Here, in situ …

With the onset of new satellite radar constellations (eg Sentinel-1) and advances in
computational science (eg grid computing) enabling the supply and processing of multi …

Satellite-based active microwave sensors not only provide synoptic overviews of flooded
areas, but also offer an effective way to estimate spatially distributed river water levels. If …

Data assimilation is increasingly being used to merge remotely sensed land surface
variables such as soil moisture, snow, and skin temperature with estimates from land …