Plateau Meteorology

Plateau Meteorology >

2018 , Vol. 37 >Issue 1: 240 - 252

DOI: https://doi.org/10.7522/j.issn.1000-0534.2017.00033

Applicability Analysis of Four Soil Moisture Reanalysis Datasets in China

  • ZHU Zhi ,
  • SHI Chunxiang ,
  • ZHANG Tao ,
  • WANG Jiaqiang
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  • National Meteorological Information Center, Beijing 100081, China

Received date: 2016-11-21

  Online published: 2018-02-28

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Abstract

The exchange process of water, heat and momentum between land surface and atmosphere is called land surface process. Soil moisture is an important physical parameter in land surface process research, and also is an important index to verify the accuracy of hydrological process in land surface process simulation, which receives extensive attention from researchers in different fields. Although soil moisture is very important to climate and drought research, relevant researches are hindered by temporal and spatial limitation of soil moisture observation data, so soil moisture reanalysis datasets, which have advantages of global coverage, long time series and spatial and temporal continuity, are often used as alternative data in land-atmosphere interaction research. Because each reanalysis datasets use different numerical prediction models and assimilation methods, there are some data quality differences, especially quality inconsistency of various soil moisture reanalysis datasets, so it is essential to evaluate applicability of various soil moisture reanalysis datasets in China, which can provide beneficial reference to climate and drought research. The historical soil moisture observation data of China mainly originate from agricultural meteorological observation stations built by China Meteorological Administration, and these data are mainly kept in paper form, which have not been used wildly and effectively. In 2014, National Meteorological Information Center finished digitization and quality control work of historical soil moisture observation data, and developed the "China Agricultural Meteorology Soil Moisture Dataset (1981-2010) (V1.0)", which provides a newer and more reliable soil moisture observation data for soil moisture reanalysis datasets assessment. Using soil moisture observing data of 150 agricultural meteorology stations from "China Agricultural Meteorology Soil Moisture Dataset (1981-2010) (V1.0)" provided by National Meteorological Information Center, we compared and analyzed four soil moisture reanalysis datasets:CFSR, ERA-Interim, NCEP R-1 and NCEP R-2's applicability in China. The results show that:(1) In the aspect of spatial distribution, four reanalysis datasets can basically describe the spatial distribution of soil moisture in China, but NCEP R-1 reanalysis dataset has problems in western Qinghai-Tibetan Plateau soil moisture simulation; (2) In the aspect of time variation, CFSR can well describe time series of soil moisture, and NCEP R-2 has the worst performance over four reanalysis datasets; (3)In the aspect of seasonal cycle of soil moisture, in surface layer, CFSR and ERA-Interim are better, NCEP R-1 and NCEP R-2 overestimated soil moisture in simulation; In deep layer, except for NCEP R-1, other three reanalysis datasets can basically simulate the seasonal cycle of soil moisture.

Key words： Soil moisture; reanalysis datasets; spatial distribution; time variation

Cite this article

ZHU Zhi , SHI Chunxiang , ZHANG Tao , WANG Jiaqiang . Applicability Analysis of Four Soil Moisture Reanalysis Datasets in China[J]. Plateau Meteorology, 2018 , 37(1) : 240 -252 . DOI: 10.7522/j.issn.1000-0534.2017.00033

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