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- Publisher Website: 10.1038/s41597-022-01419-x
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Article: A global long-term ocean surface daily/0.05° net radiation product from 1983–2020
Title | A global long-term ocean surface daily/0.05° net radiation product from 1983–2020 |
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Authors | |
Issue Date | 2022 |
Citation | Scientific Data, 2022, v. 9, n. 1, article no. 337 How to Cite? |
Abstract | The all-wave net radiation (Rn) on the ocean surface characterizes the available radiative energy balance and is important to understand the Earth’s climate system. Considering the shortcomings of available ocean surface Rn datasets (e.g., coarse spatial resolutions, discrepancy in accuracy, inconsistency, and short duration), a new long-term global daily Rn product at a spatial resolution of 0.05° from 1983 to 2020, as part of the Global High Resolution Ocean Surface Energy (GHOSE) products suite, was generated in this study by fusing several existing datasets including satellite and reanalysis products based on the comprehensive in situ measurements from 68 globally distributed moored buoy sites. Evaluation against in-situ measurements shows the root mean square difference, mean bias error and correlation coefficient squared of 23.56 Wm−2, 0.88 Wm−2 and 0.878. The global average ocean surface Rn over 1983–2020 is estimated to be 119.71 ± 2.78 Wm−2 with a significant increasing rate of 0.16 Wm−2 per year. GHOSE Rn product can be valuable for oceanic and climatic studies. |
Persistent Identifier | http://hdl.handle.net/10722/321996 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liang, Hui | - |
dc.contributor.author | Jiang, Bo | - |
dc.contributor.author | Liang, Shunlin | - |
dc.contributor.author | Peng, Jianghai | - |
dc.contributor.author | Li, Shaopeng | - |
dc.contributor.author | Han, Jiakun | - |
dc.contributor.author | Yin, Xiuwan | - |
dc.contributor.author | Cheng, Jie | - |
dc.contributor.author | Jia, Kun | - |
dc.contributor.author | Liu, Qiang | - |
dc.contributor.author | Yao, Yunjun | - |
dc.contributor.author | Zhao, Xiang | - |
dc.contributor.author | Zhang, Xiaotong | - |
dc.date.accessioned | 2022-11-03T02:22:53Z | - |
dc.date.available | 2022-11-03T02:22:53Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Scientific Data, 2022, v. 9, n. 1, article no. 337 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321996 | - |
dc.description.abstract | The all-wave net radiation (Rn) on the ocean surface characterizes the available radiative energy balance and is important to understand the Earth’s climate system. Considering the shortcomings of available ocean surface Rn datasets (e.g., coarse spatial resolutions, discrepancy in accuracy, inconsistency, and short duration), a new long-term global daily Rn product at a spatial resolution of 0.05° from 1983 to 2020, as part of the Global High Resolution Ocean Surface Energy (GHOSE) products suite, was generated in this study by fusing several existing datasets including satellite and reanalysis products based on the comprehensive in situ measurements from 68 globally distributed moored buoy sites. Evaluation against in-situ measurements shows the root mean square difference, mean bias error and correlation coefficient squared of 23.56 Wm−2, 0.88 Wm−2 and 0.878. The global average ocean surface Rn over 1983–2020 is estimated to be 119.71 ± 2.78 Wm−2 with a significant increasing rate of 0.16 Wm−2 per year. GHOSE Rn product can be valuable for oceanic and climatic studies. | - |
dc.language | eng | - |
dc.relation.ispartof | Scientific Data | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | A global long-term ocean surface daily/0.05° net radiation product from 1983–2020 | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1038/s41597-022-01419-x | - |
dc.identifier.scopus | eid_2-s2.0-85132050403 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | article no. 337 | - |
dc.identifier.epage | article no. 337 | - |
dc.identifier.eissn | 2052-4463 | - |
dc.identifier.isi | WOS:000811220500005 | - |