| Evaluation applicability of CLDAS and GLDAS soil moisture for the Loess Plateau |
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| DOI：10.7606/j.issn.1000-7601.2018.05.38 |
| Key Words: CLDAS GLDAS soil moisture Loess Plateau |
| Author Name | Affiliation | | LIU Huan-huan | College of Resources and Environment, Northwest A & F University,Yangling, Shaanxi 712100, China | | WANG Fei | College of Resources and Environment, Northwest A & F University,Yangling, Shaanxi 712100, China
Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China
Institute of Soil and Water Conservation, Northwest A ＆ F University, Yangling, Shaanxi 712100, China | | ZHANG Ting-long | Laboratory of Ecosystems Forecasting and Global change, College of Forestry, Northwest A ＆ F University, Yangling, Shaanxi 712100, China |
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| Abstract: |
| Field measurements of top 10 cm soil moisture in cropland were used to assess the applicability of the soil moisture derived from the Land Data Assimilation System to the Chinese Loess Plateau. Monthly soil moisture data from March to September during 2011 to 2013 derived from the CMA Land Data Assimilation System (CLDAS) and Global Land Data Assimilation System (GLDAS) were compared with field data, and the results were evaluated by using three indicators, correlation coefficients (Corr), mean bias errors (MBE) and root mean square (RMSE). The comparison was to select soil moisture data suitable for the condition on the Loess Plateau used in a large spatial and long-term temporal scale. The results showed that both the CLDAS and GLDAS soil moisture had the relatively high Corr, low MBE and RMSE.They could be used to reproduce the spatial variation of soil moisture over the Loess Plateau. However, the CLDAS soil moisture was found to be the best with relatively higher spatial resolution to better reflect the local minutiae than the GLDAS soil moisture. In terms of the statistical indicators, the Corr between field measurements and the two datasets was relatively high. Compared to the GLDAS soil moisture, nearly 71% and 63% of the gauging stations reached 0.01 significance and 0.05 significance level, while for the GLDAS soil moisture the proportion (70% and 62%) of gauging stations with 0.01 and 0.05 significance level was slightly lower; The spatial pattern of the MBE and RMSE for the two datasets were approximately the same across the Loess Plateau. MBE ranged from -0.05 to 0.05. Twenty six CLDAS gauging stations had values falling in -0.05~0 and 32 stations falling in 0~0.05. For GLDAS gauging stations these were 28 and 24 respectively. The RMSE of the GLDAS soil moisture was 0.05~0.07, while the majority of CLDAS was less than 0.05. But in terms of temporal variation of soil moisture and statistical indicators over the Loess Plateau, the GLDAS soil moisture better reflected dry and wet conditions. Overall both datasets had their own advantages over each other, and could serve as a good proxy for the soil moisture condition over the Loess Plateau. |
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