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A Spatial Downscaling Method for Deriving High-Resolution Downward Shortwave Radiation Data Under All-Sky Conditions

文献类型：期刊论文

作者Zhao, Wei4,5; Wang, Wei2,3; Zhou, Ji3; Ding, Lirong3; Yu, Daijun1
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2023
卷号61页码:11
关键词All-sky condition downward shortwave radia-tion (DSR) Landsat Meteosat Second Generation (MSG) spatial downscaling
ISSN号0196-2892
DOI10.1109/TGRS.2023.3272589
通讯作者Wang, Wei(wangw@std.uestc.edu.cn) ; Zhou, Ji(jzhou233@uestc.edu.cn)
英文摘要Downward shortwave radiation (DSR) is an essential parameter in land surface energy budget. However, current DSR products are mainly generated at coarse-resolution scales (more than 5 km) and fail to accurately depict DSR distribution over different topographic and land cover conditions. Meanwhile, the existence of frequent cloud cover constrains the highresolution DSR estimation. To overcome the above issues, a novel spatial downscaling method for high-resolution DSR estimation was proposed in this study by incorporating coarse-resolution Meteosat Second Generation (MSG) DSR product and Landsat-8 observations. Through decomposing the downscaling scheme into three separate models: fully cloudy, partial cloudy, and cloudfree, the 3-km MSG DSR data were spatially downscaled to 30-m scale under all-sky conditions, based on the assumption of scaleinvariant of the models established at 3-km scale. An empirical model for DSR estimation under cloud cover condition was constructed between the top of atmosphere radiance from Landsat-8 and MSG DSR. The downscaled results showed reasonable DSR values under different cloud cover conditions, and the spatial heterogeneity of the downscaled DSR was also well depicted with the variation of surface topography. Meanwhile, the validation with in situ measurements also revealed the significant improvement in terms of the coefficient of determination ( R-2) (from 0.53 to 0.79) and the root mean squared error (RMSE) (from 198.5 to 140.41 W/m(2)). In general, the proposed downscaling method in this study shows good potential for high-resolution DSR estimation without regard to the atmospheric information required in traditional DSR estimation under all-sky condition.
WOS关键词SOLAR-RADIATION ; SOIL-MOISTURE ; SURFACE
资助项目National Natural Science Foundation of China[42222109] ; National Natural Science Foundation of China[42071349] ; Second Tibetan Plateau Scientific Expedition and Research Program(STEP)[2019QZKK0404] ; Sichuan Science and Technology Program[2020JDJQ0003]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001010518800019
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program(STEP) ; Sichuan Science and Technology Program
源URL[http://ir.imde.ac.cn/handle/131551/57559]  
专题成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者Wang, Wei; Zhou, Ji
作者单位1.Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China
2.Univ Bern, Inst Geog, CH-3012 Bern, Switzerland
3.Univ Elect Sci & Technol China, Ctr Informat Geosci, Sch Resources & Environm, Chengdu 611731, Peoples R China
4.Henan Univ, Key Lab Geospatial Technol Middle & Lower Yellow R, Minist Educ, Kaifeng 475004, Peoples R China
5.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Wei,Wang, Wei,Zhou, Ji,et al. A Spatial Downscaling Method for Deriving High-Resolution Downward Shortwave Radiation Data Under All-Sky Conditions[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:11.
APA Zhao, Wei,Wang, Wei,Zhou, Ji,Ding, Lirong,&Yu, Daijun.(2023).A Spatial Downscaling Method for Deriving High-Resolution Downward Shortwave Radiation Data Under All-Sky Conditions.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,11.
MLA Zhao, Wei,et al."A Spatial Downscaling Method for Deriving High-Resolution Downward Shortwave Radiation Data Under All-Sky Conditions".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):11.

入库方式： OAI收割

来源：成都山地灾害与环境研究所

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