Evaluation and Application Research of CLDAS Soil Volume Water Content Analysis Product
Zhi Yajing
Li Cuina
Yan Qiaoqiao
Wang Yanfei
Huang Yang
Chen Haibo
Abstract：To solve the problem of insufficient research on systematic deviation detection anomalies in existing automatic soil moisture quality control methods,a quality control algorithm based on spatio-temporal matching consistency test of observation and background field data is designed by means of sta-tistical principles,combined with the characteristics of CMA Land Data Assimilation System(CLDAS)soil volume water content analysis products.The automatic soil moisture observation data from May to September 2023 is used as validation data to test and analyze the quality control ability of the algorithm.The results show that this method can identify three types of problems,that is,sensor calibration parame-ter drift,equipment performance degradation,and equipment failure in soil moisture observation stations.The algorithm has a detection accuracy of 92％and can effectively detect the systematic deviation problem of automatic soil moisture.This algorithm has been applied to the Integrated Meteorological Observation Data Quality Control System for conducting quality control and evaluation of real-time automatic soil mois-ture hourly data nationwide.
Keywords：automatic soil moistureCLDAS soil moisture productquality controlconsistency test
Publication Date：2025-05-30
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：9( 103-111 )