Surface Shortwave Net Radiation Estimation from FengYun-3 MERSI Data

dc.contributor.authorWang, Dongdong
dc.contributor.authorLiang, Shunlin
dc.contributor.authorHe, Tao
dc.contributor.authorCao, Yunfeng
dc.contributor.authorJiang, Bo
dc.date.accessioned2024-01-11T21:33:56Z
dc.date.available2024-01-11T21:33:56Z
dc.date.issued2015-05-19
dc.description.abstractThe Medium-Resolution Spectral Imager (MERSI) is one of the major payloads of China’s second-generation polar-orbiting meteorological satellite, FengYun-3 (FY-3), and it is similar to the Moderate-Resolution Imaging Spectroradiometer (MODIS). The MERSI data are suitable for mapping terrestrial, atmospheric and oceanographic variables at continental to global scales. This study presents a direct-estimation method to retrieve surface shortwave net radiation (SSNR) data from MERSI top-of-atmosphere (TOA) reflectance and cloud mask products. This study is the first attempt to use the MERSI to retrieve SSNR data. Several critical issues concerning remote sensing of SSNR were investigated, including scale effects in validating SSNR data, impacts of the MERSI calibration update on the estimation of SSNR and the dependency of the retrieval accuracy of SSNR data on view geometry. We also incorporated data from twin MODIS sensors to assess how time and the number of satellite overpasses affect the retrieval of SSNR data. Validation against one-year data over seven Surface Radiation Budget Network (SURFRAD) stations showed that the presented algorithm estimated daily SSNR at the original resolution of the MERSI with a root mean square error (RMSE) of 41.9 W/m2 and a bias of −1.6 W/m2. Aggregated to a spatial resolution of 161 km, the RMSE of MERSI retrievals can be reduced by approximately 10 W/m2. Combined with MODIS data, the RMSE of daily SSNR estimation can be further reduced to 22.2 W/m2. Compared with that of daily SSNR, estimation of monthly SSNR is less affected by the number of satellite overpasses per day. The RMSE of monthly SSNR from a single MERSI sensor is as small as 13.5 W/m2.
dc.description.urihttps://doi.org/10.3390/rs70506224
dc.identifierhttps://doi.org/10.13016/dspace/iv7s-ge9w
dc.identifier.citationWang, D.; Liang, S.; He, T.; Cao, Y.; Jiang, B. Surface Shortwave Net Radiation Estimation from FengYun-3 MERSI Data. Remote Sens. 2015, 7, 6224-6239.
dc.identifier.urihttp://hdl.handle.net/1903/31574
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtCollege of Behavioral & Social Sciencesen_us
dc.relation.isAvailableAtGeographyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjectshortwave net radiation
dc.subjectMODIS
dc.subjectMERSI
dc.subjectFengYun
dc.subjectSURFRAD
dc.subjectdirect estimation
dc.subjectradiative transfer
dc.subjectsurface radiation budget
dc.titleSurface Shortwave Net Radiation Estimation from FengYun-3 MERSI Data
dc.typeArticle
local.equitableAccessSubmissionNo

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