Remotely sensed microwave radiobrightness observations can cover large scales but have limited resolution and are only indirectly related to the hydrologic ...
Abstract—Our ability to accurately describe large-scale varia- tions in soil moisture is severely restricted by process uncertainty.
A four-dimensional (4D) variational assimilation algorithm that makes best use of available information while accounting for both measurement and model ...
In this paper, an experiment aimed at investigating the water balance after soil thawing and the radiation budget is described. The experiment was carried out ...
We investigate the feasibility of estimating large-scale soil moisture profiles and related land surface variables from low-frequency (L-band) passive microwave ...
Remotely sensed microwave radiobrightness observations can cover large scales but have limited resolution and are only indirectly related to the hydrologic ...
An observational operator and its adjoint have been created that are suitable for use within variational data assimilation using polarized 6- and 10-GHz passive ...
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We investigate the feasibility of estimating large-scale soil moisture profiles and related land surface variables from low-frequency (L-band) passive microwave ...
In this study, we present a variational framework to assimilate reference-level micrometeorological variables (temperature and humidity) and radiometric surface ...
Mar 19, 2024 · Land Data Assimilation (LDA) integrates numerical models with observation data to enhance predictions of key variables related to land surface ...