大气科学2016，Vol.40Issue(4)：792-804,13.DOI:10.3878/j.issn.1006-9895.1509.15207
基于风云三号气象卫星微波亮温资料反演东北地区土壤湿度及其对比分析
Soil Moisture Retrieval over Northeast China Based on Microwave Brightness Temperature of FY3B Satellite and Its Comparison with Other Datasets
摘要
Abstract
Soil moisture is of critical importance in land surface processes, which plays a key role in linking the terrestrial water and energy cycles. Remote sensing has become a promising technique for obtaining large-scale soil moisture information. In this study, the authors use the Land Parameter Retrieving Model (LPRM), which is based on radiative transfer equations, to retrieve surface soil moisture from FY3B microwave brightness temperature images over Northeast China (FY3BLPRM). The FY3BLPRM soil moisture is then compared with other datasets including in-situ observations at agrometeorological stations in China, the NCEP and ERA-Interim reanalysis of soil moisture, the multi-satellite soil moisture product from European Space Agency (ECV data), and the FY3B soil moisture product officially produced in the National Satellite Meteorological Center of China (FY3Bofical). It is found that the spatial and temporal variations of the derived FY3BLPRM soil moisture agree well with that of in-situ observations. FY3BLPRM and in-situ observations both show higher soil moisture content in eastern Northeast China than in western Northeast China. The two datasets are highly correlated in most regions with correlation coefficients more than 0.7 mainly because they agree well with each other in seasonal variation. However, the FY3BLPRM is highly negatively correlated with the FY3Boficial and the NCEP and ERA-Interim datasets in some relatively humid regions such as the surrounding areas of Da Hinggan Mountains and eastern part of the study area. Further analysis suggests that the FY3BLPRM can realistically represent the seasonal variability of in-situ observations, whereas the other three datasets cannot. In most of the study area, the derived FY3BLPRM agrees very well with the multi-satellite ECV data. The derived FY3BLPRM soil moisture can be applied for drought monitoring and hydrology and water resource studies. It also provides realistic soil moisture information for data assimilation in numerical weather forecast studies.关键词
风云三号气象卫星/土壤湿度/微波遥感/东北地区/对比分析Key words
FY3B satellite/Soil moisture/Microwave remote sensing/Northeast China/Comparison分类
大气科学引用本文复制引用
王国杰,齐道日娜,王磊,谭,薛峰..基于风云三号气象卫星微波亮温资料反演东北地区土壤湿度及其对比分析[J].大气科学,2016,40(4):792-804,13.基金项目
国家自然科学基金项目91337108、41375099、41561124014，大学生创新训练项目201410300007Z和江苏省普通高校自然科学研究项目14KJD570001Funded by National Natural Science Foundation of China (Grants 91337108,41375099, and 41561124014), the Student Platform for Innovation and Entrepreneurship Training Program (Grant 201410300007Z), the Natural Science Foundation of the Jiangsu Higher Education Institutes of China (Grant 14KJD570001) （Grants 91337108,41375099, and 41561124014）
