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Article: Generating a High-Resolution Time-Series Ocean Surface Net Radiation Product by Downscaling J-OFURO3

TitleGenerating a High-Resolution Time-Series Ocean Surface Net Radiation Product by Downscaling J-OFURO3
Authors
KeywordsAdvanced Very-High-Resolution Radiometer (AVHRR)
downscaling
net radiation
ocean surface
remote sensing
Issue Date2021
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2021, v. 59, n. 4, p. 2794-2809 How to Cite?
AbstractThe ocean surface net radiation ( R-{n} ) characterizing ocean surface radiation budget is a key variable in ocean climate modeling and analysis. In this study, a downscaling scheme was developed to generate a high-resolution (0.05°) time-series (2002-2013) daily ocean surface R-{n} from the third-generation Japanese Ocean Flux Data Sets with Use of Remote-Sensing Observations (J-OFURO3) at 0.25° based on the Advanced Very-High-Resolution Radiometer (AVHRR) top-of-atmosphere (TOA) observations (AVH021C) and other ancillary information (Clearness Index and cloud mask). This downscaling scheme includes the statistical downscaling models and the residual correction post-processing. A series of angle-dependent downscaling statistical models were established between the daily ocean surface R-{n} in J-OFURO3 and the AVHRR TOA data, and then, the residual correction was conducted to the model estimates R-{n} _AVHRR_est to obtain the final downscaled data set R-{n} _AVHRR. Validation against the measurements from 57 moored buoy sites in six ocean observing networks shows the high accuracy of the downscaled estimates R-{n} _AVHRR_est with a R^{2} of 0.88, RMSE of 23.44 text{W}cdot text{m}^{-2} , and bias of -0.14,,text{W}cdot text{m}^{-2} under all-sky condition. The results of the spatio-temporal analysis in R-{n} _AVHRR and intercomparison with Cloud and the Earth's Radiant Energy System (CERES) and the European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Interim) products also indicated that the superior of the R-{n} _AVHRR with more detailed information especially in the hot spot regions, such as central tropical Pacific (warming pool), Atlantic and Equatorial Eastern Indian Ocean (EIO).
Persistent Identifierhttp://hdl.handle.net/10722/321933
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Jianglei-
dc.contributor.authorJiang, Bo-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorLi, Xiuxia-
dc.contributor.authorWang, Yezhe-
dc.contributor.authorPeng, Jianghai-
dc.contributor.authorChen, Hongkai-
dc.contributor.authorLiang, Hui-
dc.contributor.authorLi, Shaopeng-
dc.date.accessioned2022-11-03T02:22:27Z-
dc.date.available2022-11-03T02:22:27Z-
dc.date.issued2021-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2021, v. 59, n. 4, p. 2794-2809-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/321933-
dc.description.abstractThe ocean surface net radiation ( R-{n} ) characterizing ocean surface radiation budget is a key variable in ocean climate modeling and analysis. In this study, a downscaling scheme was developed to generate a high-resolution (0.05°) time-series (2002-2013) daily ocean surface R-{n} from the third-generation Japanese Ocean Flux Data Sets with Use of Remote-Sensing Observations (J-OFURO3) at 0.25° based on the Advanced Very-High-Resolution Radiometer (AVHRR) top-of-atmosphere (TOA) observations (AVH021C) and other ancillary information (Clearness Index and cloud mask). This downscaling scheme includes the statistical downscaling models and the residual correction post-processing. A series of angle-dependent downscaling statistical models were established between the daily ocean surface R-{n} in J-OFURO3 and the AVHRR TOA data, and then, the residual correction was conducted to the model estimates R-{n} _AVHRR_est to obtain the final downscaled data set R-{n} _AVHRR. Validation against the measurements from 57 moored buoy sites in six ocean observing networks shows the high accuracy of the downscaled estimates R-{n} _AVHRR_est with a R^{2} of 0.88, RMSE of 23.44 text{W}cdot text{m}^{-2} , and bias of -0.14,,text{W}cdot text{m}^{-2} under all-sky condition. The results of the spatio-temporal analysis in R-{n} _AVHRR and intercomparison with Cloud and the Earth's Radiant Energy System (CERES) and the European Centre for Medium-Range Weather Forecasts (ECMWF) Interim Re-Analysis (ERA-Interim) products also indicated that the superior of the R-{n} _AVHRR with more detailed information especially in the hot spot regions, such as central tropical Pacific (warming pool), Atlantic and Equatorial Eastern Indian Ocean (EIO).-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectAdvanced Very-High-Resolution Radiometer (AVHRR)-
dc.subjectdownscaling-
dc.subjectnet radiation-
dc.subjectocean surface-
dc.subjectremote sensing-
dc.titleGenerating a High-Resolution Time-Series Ocean Surface Net Radiation Product by Downscaling J-OFURO3-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2020.3021585-
dc.identifier.scopuseid_2-s2.0-85103368844-
dc.identifier.volume59-
dc.identifier.issue4-
dc.identifier.spage2794-
dc.identifier.epage2809-
dc.identifier.eissn1558-0644-
dc.identifier.isiWOS:000633493700006-

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