摘要
通过卫星数据反演得到的土壤湿度产品数据集越来越多地应用于实际生产和科学研究中,而对于这些数据集进行区域的适用性分析是数据集合理利用的必要前提。选取美国国家航空航天局的SMAP(Soil Moisture Active/Passive)卫星数据、欧洲航天局气候变化倡议项目(Climate Change Initiative,CCI)以及中国气象局陆面数据同化系统(CLDAS)的土壤湿度数据,采用青藏高原的中部那曲地区和东北部玛曲地区的地面实测数据,首先运用传统统计方法对不同的土壤湿度数据产品进行整体验证,其次再对研究的时间范围按月尺度分割验证,利用传统统计方法和Triple Collocation交叉验证对每月的数据进行对比评估。结果表明:总体而言,那曲地区SMAP AM更能反映土壤湿度变化情况,且误差表现更稳定,玛曲地区SMAP PM能更好地反映实测数据的变化情况,但整体来看CLDAS在数值上更接近实测值。研究结果有助于更深刻地理解青藏高原地区3套数据集的误差结构与特性,从而更好地为农业、气象、水文等领域的应用提供参考。
The datasets of soil moisture products obtained from satellite data retrieval are used in practical production and scientific research increasingly,regional applicability analysis of these datasets is a necessary prerequisite for the rational utilization.SMAP from NASA,CCI SM from ESA and CLDAS were selected as the evaluated data for Naqu and Maqu in the middle and the northeast of Qinghai-Tibet Plateau respectively.Traditional statistical methods were conducted for overall verification,and then the time range of the study was divided into a monthly scale,and the monthly data were evaluated using traditional statistics and Triple Collocation.The results show that SMAP AM captures the amplitude and temporal variation of the soil moisture better,and the error performs more steadily in Naqu,SMAP PM reflects the variation of situ data in an even better way,while the numerical value of CLDAS is closed to situ data.This study help provides further understanding of the error structure and character of the datasets,which can be used in agriculture,meteorology,hydrology and other related fields for reference.
作者
荆琛琳
JING Chenlin(School of Earth Science and Engineering, Hohai University,Nanjing 211100,China)
出处
《亚热带资源与环境学报》
2020年第1期85-94,共10页
Journal of Subtropical Resources and Environment
基金
国家重点研发计划(2017YFC0405801)
国家自然科学基金(41101308)
中央高校基本科研业务费项目(2019B40614)。
