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- Publisher Website: 10.1109/TGRS.2020.3021585
- Scopus: eid_2-s2.0-85103368844
- WOS: WOS:000633493700006
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Article: Generating a High-Resolution Time-Series Ocean Surface Net Radiation Product by Downscaling J-OFURO3
Title | Generating a High-Resolution Time-Series Ocean Surface Net Radiation Product by Downscaling J-OFURO3 |
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Authors | |
Keywords | Advanced Very-High-Resolution Radiometer (AVHRR) downscaling net radiation ocean surface remote sensing |
Issue Date | 2021 |
Citation | IEEE Transactions on Geoscience and Remote Sensing, 2021, v. 59, n. 4, p. 2794-2809 How to Cite? |
Abstract | The 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 Identifier | http://hdl.handle.net/10722/321933 |
ISSN | 2023 Impact Factor: 7.5 2023 SCImago Journal Rankings: 2.403 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xu, Jianglei | - |
dc.contributor.author | Jiang, Bo | - |
dc.contributor.author | Liang, Shunlin | - |
dc.contributor.author | Li, Xiuxia | - |
dc.contributor.author | Wang, Yezhe | - |
dc.contributor.author | Peng, Jianghai | - |
dc.contributor.author | Chen, Hongkai | - |
dc.contributor.author | Liang, Hui | - |
dc.contributor.author | Li, Shaopeng | - |
dc.date.accessioned | 2022-11-03T02:22:27Z | - |
dc.date.available | 2022-11-03T02:22:27Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | IEEE Transactions on Geoscience and Remote Sensing, 2021, v. 59, n. 4, p. 2794-2809 | - |
dc.identifier.issn | 0196-2892 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321933 | - |
dc.description.abstract | The 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.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Geoscience and Remote Sensing | - |
dc.subject | Advanced Very-High-Resolution Radiometer (AVHRR) | - |
dc.subject | downscaling | - |
dc.subject | net radiation | - |
dc.subject | ocean surface | - |
dc.subject | remote sensing | - |
dc.title | Generating a High-Resolution Time-Series Ocean Surface Net Radiation Product by Downscaling J-OFURO3 | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TGRS.2020.3021585 | - |
dc.identifier.scopus | eid_2-s2.0-85103368844 | - |
dc.identifier.volume | 59 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 2794 | - |
dc.identifier.epage | 2809 | - |
dc.identifier.eissn | 1558-0644 | - |
dc.identifier.isi | WOS:000633493700006 | - |