Evaluation of an Ocean Reanalysis System in the Indian and Pacific Oceans
This paper describes an ocean reanalysis system in the Indian and Pacific oceans (IPORA) and evaluates its quality in detail. The assimilation schemes based on ensemble optimal interpolation are employed in the hybrid coordinate ocean model to conduct a long-time reanalysis experiment during the per...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/14/2/220 |
| _version_ | 1797622430959665152 |
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| author | Changxiang Yan Jiang Zhu |
| author_facet | Changxiang Yan Jiang Zhu |
| author_sort | Changxiang Yan |
| collection | DOAJ |
| description | This paper describes an ocean reanalysis system in the Indian and Pacific oceans (IPORA) and evaluates its quality in detail. The assimilation schemes based on ensemble optimal interpolation are employed in the hybrid coordinate ocean model to conduct a long-time reanalysis experiment during the period of 1993–2020. Different metrics including comparisons with satellite sea surface temperature, altimetry data, observed currents, as well as other reanalyses such as ECCO and SODA are used to validate the performance of IPORA. Compared with the control experiment without assimilation, IPORA greatly reduces the errors of temperature, salinity, sea level anomaly, and current fields, and improves the interannual variability. In contrast to ECCO and SODA products, IPORA captures the strong signals of SLA variability and reproduces the linear trend of SLA very well. Meanwhile, IPORA also shows a good consistence with observed currents, as indicated by an improved correlation and a reduced error. |
| first_indexed | 2024-03-11T09:11:11Z |
| format | Article |
| id | doaj.art-9acda95991dd4b2d9f630f987c8fbfc0 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-11T09:11:11Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-9acda95991dd4b2d9f630f987c8fbfc02023-11-16T19:01:46ZengMDPI AGAtmosphere2073-44332023-01-0114222010.3390/atmos14020220Evaluation of an Ocean Reanalysis System in the Indian and Pacific OceansChangxiang Yan0Jiang Zhu1Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaThis paper describes an ocean reanalysis system in the Indian and Pacific oceans (IPORA) and evaluates its quality in detail. The assimilation schemes based on ensemble optimal interpolation are employed in the hybrid coordinate ocean model to conduct a long-time reanalysis experiment during the period of 1993–2020. Different metrics including comparisons with satellite sea surface temperature, altimetry data, observed currents, as well as other reanalyses such as ECCO and SODA are used to validate the performance of IPORA. Compared with the control experiment without assimilation, IPORA greatly reduces the errors of temperature, salinity, sea level anomaly, and current fields, and improves the interannual variability. In contrast to ECCO and SODA products, IPORA captures the strong signals of SLA variability and reproduces the linear trend of SLA very well. Meanwhile, IPORA also shows a good consistence with observed currents, as indicated by an improved correlation and a reduced error.https://www.mdpi.com/2073-4433/14/2/220ocean reanalysisensemble optimal interpolationdata assimilationindependent observationsvalidation |
| spellingShingle | Changxiang Yan Jiang Zhu Evaluation of an Ocean Reanalysis System in the Indian and Pacific Oceans Atmosphere ocean reanalysis ensemble optimal interpolation data assimilation independent observations validation |
| title | Evaluation of an Ocean Reanalysis System in the Indian and Pacific Oceans |
| title_full | Evaluation of an Ocean Reanalysis System in the Indian and Pacific Oceans |
| title_fullStr | Evaluation of an Ocean Reanalysis System in the Indian and Pacific Oceans |
| title_full_unstemmed | Evaluation of an Ocean Reanalysis System in the Indian and Pacific Oceans |
| title_short | Evaluation of an Ocean Reanalysis System in the Indian and Pacific Oceans |
| title_sort | evaluation of an ocean reanalysis system in the indian and pacific oceans |
| topic | ocean reanalysis ensemble optimal interpolation data assimilation independent observations validation |
| url | https://www.mdpi.com/2073-4433/14/2/220 |
| work_keys_str_mv | AT changxiangyan evaluationofanoceanreanalysissystemintheindianandpacificoceans AT jiangzhu evaluationofanoceanreanalysissystemintheindianandpacificoceans |