Arid
Evaluation of the SMOS and SMAP soil moisture products under different vegetation types against two sparse in situ networks over arid mountainous watersheds, Northwest China
Zhang Lanhui; He Chansheng; Zhang Mingmin; Zhu Yi
来源期刊Science China. Earth Sciences
ISSN1674-7313
出版年2019
卷号62期号:4页码:703-718
英文摘要Assessment of the suitability of satellite soil moisture products at large scales is urgently needed for numerous climatic and hydrological researches, particularly in arid mountainous watersheds where soil moisture plays a key role in landatmosphere exchanges. This study presents evaluation of the SMOS (L2) and SMAP (L2_P_E and L2_P) products against ground-based observations from the Upstream of the Heihe River Watershed in situ Soil Moisture Network (UHRWSMN) and the Ecological and Hydrological Wireless Sensor Network (EHWSN) over arid high mountainous watersheds, Northwest China. Results show that all the three products are reliable in catching the temporal trend of the in situ observations at both point and watershed scales in the study area. Due to the uncertainty in brightness temperature and the underestimation of effective temperature, the SMOS L2 product and both the SMAP L2 products show dry bias in the high, cold mountainous area. Because of the more accurate brightness temperature observations viewing at a constant angle and more suitable estimations of single scattering albedo and optical depth, both the SMAP L2 products performed significantly better than the SMOS product. Moreover, comparing with station density of in situ network, station representation is much more important in the evaluation of the satellite soil moisture products. Based on our analysis, we propose the following suggestions for improvement of the SMOS and SMAP product suitability in the mountainous areas: further optimization of effective temperature; revision of the retrieval algorithm of the SMOS mission to reduce the topographic impacts; and, careful selection of in situ observation stations for better representation of in situ network in future evaluations. All these improvements would lead to better applicability of the SMOS and SMAP products for soil moisture estimation to the high elevation and topographically complex mountainous areas in arid regions.
英文关键词SMOS SMAP Evaluation Different vegetation types Sparse in situ networks Arid mountainous watershed
类型Article
语种英语
收录类别CSCD
WOS研究方向Plant Sciences
CSCD记录号CSCD:6465563
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/336085
作者单位Zhang Lanhui, College of Earth and Environmental Sciences, Lanzhou University, Key Laboratory of West China's Environmental System (Ministry of Education), Lanzhou, Gansu 730000, China.; Zhang Mingmin, College of Earth and Environmental Sciences, Lanzhou University, Key Laboratory of West China's Environmental System (Ministry of Education), Lanzhou, Gansu 730000, China.; Zhu Yi, College of Earth and Environmental Sciences, Lanzhou University, Key Laboratory of West China's Environmental System (Ministry of Education), Lanzhou, Gansu 730000, China.; He Chansheng, College of Earth and Environmental Sciences, Lanzhou University;;Department of Geography, Western Michigan University, Key Laboratory of West China's Environmental System (Ministry of Education);;, Lanzhou;;Kalamazoo, ;;USA 730000;;49008.
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Zhang Lanhui,He Chansheng,Zhang Mingmin,et al. Evaluation of the SMOS and SMAP soil moisture products under different vegetation types against two sparse in situ networks over arid mountainous watersheds, Northwest China[J],2019,62(4):703-718.
APA Zhang Lanhui,He Chansheng,Zhang Mingmin,&Zhu Yi.(2019).Evaluation of the SMOS and SMAP soil moisture products under different vegetation types against two sparse in situ networks over arid mountainous watersheds, Northwest China.Science China. Earth Sciences,62(4),703-718.
MLA Zhang Lanhui,et al."Evaluation of the SMOS and SMAP soil moisture products under different vegetation types against two sparse in situ networks over arid mountainous watersheds, Northwest China".Science China. Earth Sciences 62.4(2019):703-718.
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