A comparative study on SMOS and NLDAS-2 soil moistures over a hydrological basin-with continental climate

Zhuo, Lu, Han, D., Dai, Q. and Islam, T. 2016. A comparative study on SMOS and NLDAS-2 soil moistures over a hydrological basin-with continental climate. Srivastava, Prashant K., Petropoulos, George P. and Kerr, Yann H., eds. Satellite Soil Moisture Retrieval: Techniques and Applications, Elsevier, pp. 289-308. (10.1016/B978-0-12-803388-3.00015-2)

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Abstract

The European Space Agency Soil Moisture and Ocean Salinity (SMOS) mission was launched on Nov. 2, 2009. Its main objective is to provide accurate global soil moisture estimation to a wide range of applications, including hydrological modeling. This is because soil moisture is a key state variable in hydrological models. The global Level-3 soil moisture data set generated from the SMOS was released by the Barcelona Expert Center. This study particularly focuses on its basin-scale evaluation, over the Pontiac basin in the central United States. In addition, a comparison of the capability of four North American Land Data Assimilation System-Phase 2 (NLDAS-2) land surface models’ soil moisture outputs (i.e., Noah, Mosaic, Sacramento (SAC), and variable infiltration capacity (VIC) models) in hydrological modeling is also conducted. The soil moisture deficit derived from a three-layer Xinanjiang (XAJ) model is used as a hydrological benchmark for all the comparisons. It is found that SMOS retrievals are not reliable for hydrological usage when there is frozen soil. Generally speaking, the descending orbit shows a stronger potential for improved hydrological predictions; however, it has a relatively sparse data availability. For NLDAS-2 soil moisture outputs, the SAC model shows a significant correlation with the XAJ soil moisture information. Furthermore SAC shows no distinct performance difference between frozen and unfrozen data sets. The VIC model demonstrates less seasonality and has a rather poor performance for frozen data set. The superiorities from different soil moisture products could be fused to provide the optimal information content for its application in hydrological modeling, which is discussed in the chapter.

Item Type:	Book Section
Date Type:	Publication
Status:	Published
Schools:	Earth and Environmental Sciences
Publisher:	Elsevier
ISBN:	9780128033883
Last Modified:	13 Dec 2022 11:00
URI:	https://orca.cardiff.ac.uk/id/eprint/153208

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