摘要
从降水响应、指标评估两个方面对比分析了四川省西昌、宜宾和乐至3站2017~2018年CLDAS土壤湿度产品、人工观测和自动土壤水分站3种土壤水分资料。结果表明,3种资料的土壤相对湿度对降水都有较好的响应,其中自动站对土壤水分变化的响应最为明显,而CLDAS的响应则较为平缓,CLDAS体积含水量对降水的响应不如CLDAS相对湿度好,特别是在深层,基本没有响应降水影响。对比评估指标显示,各站土壤相对湿度人工观测与自动站的相关性最好,西昌站3种资料两两间相关性最好,乐至站各资料间的相关性较差,偏差和均方根误差也较大,体积含水量各站各资料间相关性没有相对湿度高。总体看,CLDAS土壤湿度产品,特别是相对湿度在浅层对降水的响应要好于深层,与人工观测和自动站的相关性也好于深层,CLDAS土壤湿度产品在浅层可以弥补四川部分地区自动站稀疏的缺陷。
From two aspects of precipitation response and index evaluation,comparative analyzing soil moisture data of CLDAS products,manual soil moisture observation and automatic soil moisture stations from 2017 to 2018 at Xichang,Yibin and Lezhi in Sichuan Province.The results show that the soil relative humidity of three kinds of data has better response to precipitation impact.Among them,the response of automatic station to soil moisture change is the most obvious,while the response of CLDAS is gentle.The response of CLDAS volume water content to precipitation impact is not as good as CLDAS relative humidity,especially in the deep layer,which basically does not respond to precipitation impact.The comparative evaluation indicators show that the COR of soil relative humidity between the manual observation and the automatic stations is the best,the COR between two of three kinds of data at Xichang is larger than that of the other two stations,the correlation between two of three kinds of data at Lezhi is poor,and the BIAS and RMSE are also large.The COR between two of three kinds of data of each station of volumetric water content is less than that of relative humidity.Overall,the response of CLDAS soil moisture products,especially relative humidity,to precipitation in shallow layer is better than that in deep layer,and the correlation with manual observation and automatic stations is better than that in deep layer.The products of CLDAS soil humidity in shallow layer can make up for the sparse defects of automatic stations in some areas of Sichuan.
作者
郭旭
龙柯吉
黄晓龙
吴薇
杜冰
GUO Xu;LONG Keji;HUANG Xiaolong;WU Wei;DU Bing(Sichuan Provincial Meteorological Observation and Data Centre,Chengdu 610072,China;Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,Chengdu 610072,China;Sichuan Province Meteorological Observatory,Chengdu 610072,China)
出处
《高原山地气象研究》
2019年第3期60-66,共7页
Plateau and Mountain Meteorology Research
基金
高原与盆地暴雨旱涝灾害四川省重点实验室青年专项项目(SCQXKJQN2019018)
高原与盆地暴雨旱涝灾害四川省重点实验室重点专项项目(省重实验室2018-重点-10)
关键词
CLDAS
人工观测
自动土壤水分站
相对湿度
体积含水量
CLDAS
manual observation
automatic soil moisture station
relative humidity
volume water content
