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Article: Estimation of Land Surface Incident Shortwave Radiation from Geostationary Advanced Himawari Imager and Advanced Baseline Imager Observations Using an Optimization Method

TitleEstimation of Land Surface Incident Shortwave Radiation from Geostationary Advanced Himawari Imager and Advanced Baseline Imager Observations Using an Optimization Method
Authors
KeywordsAdvanced Baseline Imager (ABI)
Advanced Himawari Imager (AHI)
optimization
surface shortwave radiation
Issue Date2022
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2022, v. 60 How to Cite?
AbstractSurface incident shortwave radiation (ISR) is an important component of the surface radiation budget. We refined the optimization method developed for polar-orbiting satellite data [1] and applied it to estimate ISR from the new generation geostationary Advanced Himawari Imager (AHI) onboard the Himawari-8/9 satellite and Advanced Baseline Imager (ABI) onboard the Geostationary Operational Environmental Satellite-R Series. Validation of the AHI ISR estimation at 2-km resolution showed an R2 of 0.93, bias of 0.52 W/m2, and RMSE of 106.52 W/m2 for instantaneous estimates; an R2 of 0.95, bias of-0.12 W/m2, and RMSE of 22.49 W/m2 for daily mean ISR; and a bias of-0.18 W/m2 and RMSE of 7.72 W/m2 for monthly mean ISR. Validation of the ABI ISR at 2-km spatial resolution showed an R2 value of 0.93, bias of 8.71 W/m2, and RMSE of 102.30 W/m2 for instantaneous estimates; an R2 of 0.95, bias of-2.38 W/m2, and RMSE of 27.17 W/m2 for daily mean ISR; and a bias of 1.40 W/m2 and RMSE of 14.75 W/m2 for monthly mean ISR. Our study also demonstrated that AHI and ABI observations have realized much better estimations for hourly and diurnal ISR than previous polar-orbiting satellite data because of their higher frequency of sampling on the atmospheric conditions.
Persistent Identifierhttp://hdl.handle.net/10722/316563
ISSN
2021 Impact Factor: 8.125
2020 SCImago Journal Rankings: 2.141
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Yi-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorHe, Tao-
dc.contributor.authorWang, Dongdong-
dc.contributor.authorYu, Yunyue-
dc.contributor.authorMa, Han-
dc.date.accessioned2022-09-14T11:40:45Z-
dc.date.available2022-09-14T11:40:45Z-
dc.date.issued2022-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2022, v. 60-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/316563-
dc.description.abstractSurface incident shortwave radiation (ISR) is an important component of the surface radiation budget. We refined the optimization method developed for polar-orbiting satellite data [1] and applied it to estimate ISR from the new generation geostationary Advanced Himawari Imager (AHI) onboard the Himawari-8/9 satellite and Advanced Baseline Imager (ABI) onboard the Geostationary Operational Environmental Satellite-R Series. Validation of the AHI ISR estimation at 2-km resolution showed an R2 of 0.93, bias of 0.52 W/m2, and RMSE of 106.52 W/m2 for instantaneous estimates; an R2 of 0.95, bias of-0.12 W/m2, and RMSE of 22.49 W/m2 for daily mean ISR; and a bias of-0.18 W/m2 and RMSE of 7.72 W/m2 for monthly mean ISR. Validation of the ABI ISR at 2-km spatial resolution showed an R2 value of 0.93, bias of 8.71 W/m2, and RMSE of 102.30 W/m2 for instantaneous estimates; an R2 of 0.95, bias of-2.38 W/m2, and RMSE of 27.17 W/m2 for daily mean ISR; and a bias of 1.40 W/m2 and RMSE of 14.75 W/m2 for monthly mean ISR. Our study also demonstrated that AHI and ABI observations have realized much better estimations for hourly and diurnal ISR than previous polar-orbiting satellite data because of their higher frequency of sampling on the atmospheric conditions.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectAdvanced Baseline Imager (ABI)-
dc.subjectAdvanced Himawari Imager (AHI)-
dc.subjectoptimization-
dc.subjectsurface shortwave radiation-
dc.titleEstimation of Land Surface Incident Shortwave Radiation from Geostationary Advanced Himawari Imager and Advanced Baseline Imager Observations Using an Optimization Method-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2020.3038829-
dc.identifier.scopuseid_2-s2.0-85097417255-
dc.identifier.volume60-
dc.identifier.eissn1558-0644-
dc.identifier.isiWOS:000726094900018-

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