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Blending Satellite Observed, Model Simulated, and in Situ Measured Soil Moisture over Tibetan Plateau

Authors :
Yijian Zeng
Zhongbo Su
Rogier van der Velde
Lichun Wang
Kai Xu
Xing Wang
Jun Wen
Source :
Remote Sensing, Vol 8, Iss 3, p 268 (2016)
Publication Year :
2016
Publisher :
MDPI AG, 2016.

Abstract

The inter-comparison of different soil moisture (SM) products over the Tibetan Plateau (TP) reveals the inconsistency among different SM products, when compared to in situ measurement. It highlights the need to constrain the model simulated SM with the in situ measured data climatology. In this study, the in situ soil moisture networks, combined with the classification of climate zones over the TP, were used to produce the in situ measured SM climatology at the plateau scale. The generated TP scale in situ SM climatology was then used to scale the model-simulated SM data, which was subsequently used to scale the SM satellite observations. The climatology-scaled satellite and model-simulated SM were then blended objectively, by applying the triple collocation and least squares method. The final blended SM can replicate the SM dynamics across different climatic zones, from sub-humid regions to semi-arid and arid regions over the TP. This demonstrates the need to constrain the model-simulated SM estimates with the in situ measurements before their further applications in scaling climatology of SM satellite products.

Details

Language :
English
ISSN :
20724292
Volume :
8
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.631bf3ac74d84edd92aa616f2d99d0f4
Document Type :
article
Full Text :
https://doi.org/10.3390/rs8030268