Applicability Evaluation of CLDAS Merged Soil Relative Moisture in Northeast of China and Its Correction Research

doi:10.3969/j.issn.1000-6362.2019.10.006

Abstract

Abstract: Using observed soil relative moisture data at 10cm layer, the applicability of CLDAS（CMA Land Data Assimilation System）merged soil relative moisture at 0-20cm layer was tested and verified by calculating the correlation coefficient and bias between the CLDAS product and in-situ soil moisture observation in Northeast of China during 2008-2017. The results showed that CLDAS merged soil relative moisture data could reasonably reflect the actual spatial distribution of soil moisture at a depth of 10cm in Northeast of China, however, it was not very excellent at the extreme values’ performance. CLDAS merged soil relative moisture data was obviously higher than actual site observations in western of Liaoning province and southwestern of Heilongjiang province, while the simulation was lower than the actual soil relative moisture in northeastern of Heilongjiang province. The applicability of CLDAS product in Northeast of China decreases from southwest to northeast and was better in Jilin and Liaoning provinces. Furthermore, further analysis found that the poor applicability was mainly caused by the low correlation between CLDAS and site observation in Heilongjiang province. Finally, the error of CLDAS product was corrected by regression correction method and 7 ten-day sliding average correction method. The result greatly improves the accuracy of CLDAS product, and the revised products could be applied to soil moisture drought monitoring business.

Key words: Northeast of China, CLDAS merged soil relative moisture product, CLDAS merged product, Regress correction method, 7 ten-day sliding average correction method, Applicability evaluate

CUI Yuan-yuan，ZHANG Qiang, QIN Jun，JING Wen-qi. Applicability Evaluation of CLDAS Merged Soil Relative Moisture in Northeast of China and Its Correction Research[J]. Chinese Journal of Agrometeorology, 2019, 40(10): 660-668.

References

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