globalchange  > 气候变化与战略
DOI: 10.1002/hyp.13636
论文题名:
Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations
作者: Deng Y.; Wang S.; Bai X.; Wu L.; Cao Y.; Li H.; Wang M.; Li C.; Yang Y.; Hu Z.; Tian S.; Lu Q.
刊名: Hydrological Processes
ISSN: 8856087
出版年: 2020
卷: 34, 期:3
语种: 英语
英文关键词: ESA CCI ; GLDAS ; global ; land cover ; precipitation ; remote sensing ; soil moisture
Scopus关键词: Climate change ; Climate models ; Earth (planet) ; Precipitation (chemical) ; Quality control ; Soil moisture ; Space optics ; Advanced Microwave Scanning Radiometer for the Earth Observing System ; ESA CCI ; GLDAS ; global ; Land cover ; Land data assimilation systems ; Microwave remote sensing ; National centers for environmental predictions ; Remote sensing ; climate variation ; comparative study ; data set ; land cover ; land surface ; modeling ; precipitation (climatology) ; remote sensing ; soil moisture
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. © 2019 John Wiley & Sons, Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159983
Appears in Collections:气候变化与战略

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作者单位: State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China; Puding Karst Ecosystem Observation and Research Station, Chinese Academy of Sciences, Anshun, China; School of Geography and Environmental Sciences, Guizhou Normal University, Guiyang, China; College of Resource and Environment, Guizhou University, Guiyang, China

Recommended Citation:
Deng Y.,Wang S.,Bai X.,et al. Comparison of soil moisture products from microwave remote sensing, land model, and reanalysis using global ground observations[J]. Hydrological Processes,2020-01-01,34(3)
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