Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1002/hyp.13636 |
Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations | |
Deng, Yuanhong1,2,3; Wang, Shijie1,3; Bai, Xiaoyong1,3; Wu, Luhua1,2,3; Cao, Yue1,2,3; Li, Huiwen1,2,3; Wang, Mingming1,2,3; Li, Chaojun1,3,4; Yang, Yujie1,3,4; Hu, Zeyin1,2,3; Tian, Shiqi1,3,4; Lu, Qian1,3,5 | |
通讯作者 | Bai, Xiaoyong |
来源期刊 | HYDROLOGICAL PROCESSES |
ISSN | 0885-6087 |
EISSN | 1099-1085 |
出版年 | 2020 |
卷号 | 34期号:3页码:836-851 |
英文摘要 | High-quality soil moisture (SM) datasets are in great demand for climate, hydrology, and other fields, but detailed evaluation of SM products from various sources is scarce. Thus, using 670 SM stations worldwide, we evaluated and compared SM products from microwave remote sensing [Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) (C- and X-bands) and European Space Agency's Climate Change Initiative (ESA CCI)], land surface model [Global Land Data Assimilation System (GLDAS)], and reanalysis data [ECMWF Re-Analysis-Interim (ERA-Interim) and National Centers for Environmental Prediction (NCEP)] under different time scales and various climates and land covers. We find that: (a) ESA CCI and GLDAS have the closest values to the in situ SM on the annual scale, whereas others overestimate the SM; ERA-Interim (averaged R = 0.58) and ESA CCI (averaged R = 0.54) correlate best with the in situ data, while GLDAS performs worst. (b) Overall, the deviations of each product vary in seasons. ESA CCI and ERA-Interim products are closer to the in situ SM at seasonal scales, and AMSR-E and NCEP perform worst in December-February and June-August, respectively. (c) Except for NCEP and ERA-Interim, others can well reflect the intermonthly variation of the in situ SM. (d) Under various climates and land covers, AMSR-E products are less effective in cold climates, whereas GLDAS and NCEP products perform poorly in arid or temperate and dry climates. Moreover, the Bias and R of each SM product differ obviously under different forest types, especially the AMSR-E products. In summary, SM from ESA CCI is the best, followed by ERA-Interim product, and precipitation is an important auxiliary data for selecting high-quality SM stations and improving the accuracy of SM from GLDAS. These results can provide a reference for improving the accuracy of the above SM products. |
英文关键词 | ESA CCI GLDAS global land cover precipitation remote sensing soil moisture |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000500522100001 |
WOS关键词 | AMSR-E ; DATA ASSIMILATION ; IN-SITU ; TIBETAN PLATEAU ; RETRIEVAL ; VALIDATION ; IMPACT ; ASCAT ; PRECIPITATION ; PERFORMANCE |
WOS类目 | Water Resources |
WOS研究方向 | Water Resources |
EI主题词 | 2019-12-02 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/311475 |
作者单位 | 1.Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, 99 Lincheng West Rd, Guiyang 550081, Guizhou, Peoples R China; 2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China; 3.Chinese Acad Sci, Puding Karst Ecosyst Observat & Res Stn, Anshun, Peoples R China; 4.Guizhou Normal Univ, Sch Geog & Environm Sci, Guiyang, Guizhou, Peoples R China; 5.Guizhou Univ, Coll Resource & Environm, Guiyang, Guizhou, Peoples R China |
推荐引用方式 GB/T 7714 | Deng, Yuanhong,Wang, Shijie,Bai, Xiaoyong,et al. Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations[J],2020,34(3):836-851. |
APA | Deng, Yuanhong.,Wang, Shijie.,Bai, Xiaoyong.,Wu, Luhua.,Cao, Yue.,...&Lu, Qian.(2020).Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations.HYDROLOGICAL PROCESSES,34(3),836-851. |
MLA | Deng, Yuanhong,et al."Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations".HYDROLOGICAL PROCESSES 34.3(2020):836-851. |
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