Assimilation of small scale soil moisture in a land-surface model

Gabriëlle J. M. De Lannoy; Niko E. C. Verhoest; Valentijn R. N. Pauwels; Paul R. Houser

doi:10.1117/12.627075

18 October 2005 Assimilation of small scale soil moisture in a land surface model

Gabriëlle J. M. De Lannoy, Niko E. C. Verhoest, Valentijn R. N. Pauwels, Paul R. Houser

Proceedings Volume 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII; 59760L (2005) https://doi.org/10.1117/12.627075
Event: SPIE Remote Sensing, 2005, Bruges, Belgium

Abstract

Remote sensing offers a very interesting means to estimate the soil moisture state of a hydrological system. However, practical use for small scale agricultural applications is still limited. Ground truth data remain necessary to validate the inversion from the measured quantities to soil moisture content, to understand small scale processes in the horizontal plane, and to assess the distribution of water over a soil profile. Additionally, land surface models offer basic knowledge of the physical and physiological processes affecting the soil moisture state. A combination of both sources of information yields an optimal estimate of the system state and offers the best knowledge available to decision makers. In this study, ground measurements of soil moisture in the Optimizing Production Inputs for Economic and Environmental Enhancement (OPE³) field (near Washington D.C.) of the United States Department of Agriculture (USDA) were assimilated into the Community Land Model (CLM2.0). Some practical problems that prevent optimal state estimation are discussed, such as the presence of bias in the model or observations, and the limited knowledge of the correlation structure of e.g. model error. Some case studies revealed that the influence of assimilation of upper layer soil moisture, as provided by remote sensing, improves the model results, but is not as persistent for profile estimation as assimilation of soil moisture in deeper layers.

Citation Download Citation

Gabriëlle J. M. De Lannoy, Niko E. C. Verhoest, Valentijn R. N. Pauwels, and Paul R. Houser "Assimilation of small scale soil moisture in a land surface model", Proc. SPIE 5976, Remote Sensing for Agriculture, Ecosystems, and Hydrology VII, 59760L (18 October 2005); https://doi.org/10.1117/12.627075

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KEYWORDS

Soil science

Agriculture

Data modeling

Atmospheric modeling

Calibration

Error analysis

Filtering (signal processing)

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