Spatial Downscaling of MSG Downward Shortwave Radiation Product Under Clear-Sky Condition
Wang, Wei4,5; Yin, Gaofei1; Zhao, Wei3,4; Wen, Fengping2,4; Yu, Daijun5
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
2020-05-01
卷号58期号:5页码:3264-3272
关键词Surface topography Land surface Spatial resolution Estimation Surface treatment Satellites Reliability Clear-sky condition downscale downward shortwave radiation (DSR) Meteosat Second Generation (MSG) spatio-temporal analysis
ISSN号0196-2892
DOI10.1109/TGRS.2019.2951699
通讯作者Zhao, Wei(zhaow@imde.ac.cn)
产权排序1
文献子类Article
英文摘要Downward shortwave radiation (DSR) plays a very important role in land surface radiation budget and land-surface processes modeling. Although there are several radiation products developed based on satellite observations, the coarse spatial resolution greatly limits their applications in regional or local scales. To get high-resolution and accuracy-reliable DSR data, a practical downscaling method for clear-sky condition was proposed by using the scale-invariant relationship of the radiative transfer process to decompose the global radiation into direct and diffuse components at horizontal level and conducting topographic correction finally. Based on this method, the time series of Meteosat Second Generation (MSG) DSR product covering part of Navarre province in the northern Spain was disaggregated into 30-m level with the use of the ALOS World 3D-30m digital elevation model (DEM) data. The downscaled results not only presented high spatial heterogeneity with respect to the changes in surface topography but also showed reasonable values at different times over different days in one year. The in situ validation indicated that the hourly downscaled DSR had quite high correlation with the surface measurements at each day with the coefficient of determination above 0.97 and the root-mean-squared error lower than 35 W/m(2). Overall, the evaluation allows concluding on the proposed method that can be a good way to get reliable and high-resolution DSR data from coarse-resolution DSR product under clear-sky condition.
电子版国际标准刊号1558-0644
资助项目National Natural Science Foundation of China[41771409] ; National Natural Science Foundation of China[41971282] ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS)[XDA20020401] ; CAS Light of West China Program ; Youth Innovation Promotion Association CAS[2016333]
WOS关键词LINKE TURBIDITY FACTOR ; SOLAR-RADIATION ; LAND-SURFACE ; NET-RADIATION ; ENERGY-BALANCE ; RESOLUTION ; IRRADIANCE ; MODEL ; DISAGGREGATION ; DIFFUSE
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000529868700021
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) ; CAS Light of West China Program ; Youth Innovation Promotion Association CAS
内容类型期刊论文
源URL[http://ir.imde.ac.cn/handle/131551/34601]  
专题中国科学院水利部成都山地灾害与环境研究所
通讯作者Zhao, Wei
作者单位1.Southwest Jiaotong Univ, Fac Geosci & Environm Engn, Chengdu 610031, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Henan Univ, Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Peoples R China;
4.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 4610041, Peoples R China;
5.Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China;
推荐引用方式
GB/T 7714
Wang, Wei,Yin, Gaofei,Zhao, Wei,et al. Spatial Downscaling of MSG Downward Shortwave Radiation Product Under Clear-Sky Condition[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2020,58(5):3264-3272.
APA Wang, Wei,Yin, Gaofei,Zhao, Wei,Wen, Fengping,&Yu, Daijun.(2020).Spatial Downscaling of MSG Downward Shortwave Radiation Product Under Clear-Sky Condition.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,58(5),3264-3272.
MLA Wang, Wei,et al."Spatial Downscaling of MSG Downward Shortwave Radiation Product Under Clear-Sky Condition".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 58.5(2020):3264-3272.
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