CLDAS融合土壤相对湿度产品适用性评估及在气象干旱监测中的应用  

Applicability evaluation of CLDAS merged soil relative moisture product and its application in meteorological drought monitoring

作　　者：崔园园 张强[2] 李威[2] 敬文琪 覃军[4] 陈慧华[5] CUI Yuanyuan;ZHANG Qiang;LI Wei;JING Wenqi;QIN Jun;CHEN Huihua(Hebei Meteorological Observatory, Shijiazhuang 050000, China;National Climate Center, Beijing 100081, China;Meteorological Observatory of 94758 Troops, Ningde 355103, China;School of Environmental Studies, China University of Geosciences (Wuhan), Wuhan 430074, China;Guangdong Climate Center, Guangzhou 510080, China)

机构地区：[1]河北省气象台,河北石家庄050000 [2]国家气候中心,北京100081 [3]94758部队气象台,福建宁德355103 [4]中国地质大学(武汉)环境学院,湖北武汉430074 [5]广东省气候中心,广东广州510080

出　　处：《海洋气象学报》2020年第4期105-113,共9页Journal of Marine Meteorology

基　　金：国家重点研发计划“重大自然灾害监测预警与防范”重点专项(2017YFC1502402);广东省科技兴农——农业科技创新及推广项目(2020KJ102)。

摘　　要：基于2008—2017年全国自动气象观测站逐旬土壤相对湿度观测数据,综合评估中国气象局陆面数据同化系统(CMA Land Data Assimilation System,CLDAS)0~20 cm层融合土壤相对湿度产品在中国地区的适用性,评估表明CLDAS土壤相对湿度产品在中国东北、西北、江南大部及华南等地区存在较大系统性误差,总体上适用性较差。为消除CLDAS土壤相对湿度产品的系统性误差,采用回归订正法、7旬滑动平均订正法和临近加权前旬订正法对CLDAS土壤相对湿度产品进行误差订正处理,对订正结果评估发现:订正处理后CLDAS土壤相对湿度产品与站点观测的相关性显著增加,系统偏差基本消除,适用性明显提高,3种订正方法中临近加权前旬订正法的订正效果最优。最后,采用经不同方法订正后的CLDAS土壤相对湿度产品对2017年5月东北—华北地区一次气象干旱个例进行重现,对比验证表明:相对其他两种订正方法,经临近加权前旬订正法处理后的CLDAS土壤相对湿度产品能更为精准地重现2017年5月东北—华北地区气象干旱的落区和强度。Based on in-situ dekad soil relative moisture observations of automatic weather stations nationwide from 2008 to 2017,this study makes a comprehensive applicability evaluation of CLDAS(CMA Land Data Assimilation System)merged soil relative moisture product at 0-20 cm layer.The evaluation shows CLDAS soil relative humidity product has large systematic error compared with in-situ observations in Northeast China,Northwest China,most areas of Jiangnan,and South China,so it generally has poor applicability.To eliminate the systematic error of CLDAS soil relative humidity product,the regression correction method,seven ten-day moving average correction method,and near-weighted last ten-day correction method are used to conduct error correction.The evaluation of the correction result shows the correction of CLDAS soil relative humidity product makes a significant increase of its correlation with in-situ observations,the systematic error is basically eliminated,and its applicability has significantly improved.Among the above-mentioned three correction methods,the near-weighted last ten-day correction method performs the best.Finally,the corrected CLDAS soil relative humidity products with the three methods are used to reproduce one meteorological drought case that happened in Northeast-North China in May 2017.The verification results show that compared with the other two error correction methods,the CLDAS soil relative humidity product processed by the near-weighted last ten-day correction method can more accurately reproduce the area and intensity of the meteorological drought in Northeast-North China in May 2017.

关 键 词：中国气象局陆面数据同化系统 融合土壤相对湿度产品 订正方法 气象干旱监测 适用性评估 

分 类 号：S152.7[农业科学—土壤学] S423[农业科学—农业基础科学]