Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific Region
Observing System Simulation Experiments (OSSEs) have been conducted to evaluate the effect of Argo data assimilation on ocean reanalysis in the Pacific region. The “truth” is obtained from a 5-year model integration from 2003 to 2007 based on the MIT general circulation model with the truly varying...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2017/7314106 |
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| author | Xuefeng Zhang Chaohui Sun Chang Liu Lianxin Zhang Caixia Shao Xiaoshuang Zhang Yuxin Zhao |
| author_facet | Xuefeng Zhang Chaohui Sun Chang Liu Lianxin Zhang Caixia Shao Xiaoshuang Zhang Yuxin Zhao |
| author_sort | Xuefeng Zhang |
| collection | DOAJ |
| description | Observing System Simulation Experiments (OSSEs) have been conducted to evaluate the effect of Argo data assimilation on ocean reanalysis in the Pacific region. The “truth” is obtained from a 5-year model integration from 2003 to 2007 based on the MIT general circulation model with the truly varying atmospheric forcing. The “observations” are the projections of the truth onto the observational network including ocean station data, CTD, and various BTs and Argo, by adding white noise to simulate observational errors. The data assimilation method employed is a sequential three-dimensional variational (3D-Var) scheme within a multigrid framework. Results show the interannual variability of temperature, salinity, and current fields can be reconstructed fairly well. The spread of temperature anomalies in the tropical Pacific region is also able to be reflected accurately when Argo data is assimilated, which may provide a reliable initial field for the forecast of temperature and currents for the subsurface in the tropical Pacific region. The adjustment of salinity by using T-S relationship is vital in the tropical Pacific region. However, the adjustment of salinity is almost meaningless in the northwest Pacific if Argo data is included during the reanalysis. |
| format | Article |
| id | doaj-art-b616ec61f6fd49ec9851db194632518d |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-b616ec61f6fd49ec9851db194632518d2025-02-03T01:11:25ZengWileyAdvances in Meteorology1687-93091687-93172017-01-01201710.1155/2017/73141067314106Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific RegionXuefeng Zhang0Chaohui Sun1Chang Liu2Lianxin Zhang3Caixia Shao4Xiaoshuang Zhang5Yuxin Zhao6College of Automation, Harbin Engineering University, Harbin, ChinaState Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, SOA, Hangzhou, ChinaCollege of Automation, Harbin Engineering University, Harbin, ChinaKey Laboratory of Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, Tianjin, ChinaKey Laboratory of Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, Tianjin, ChinaKey Laboratory of Marine Environmental Information Technology, National Marine Data and Information Service, State Oceanic Administration, Tianjin, ChinaCollege of Automation, Harbin Engineering University, Harbin, ChinaObserving System Simulation Experiments (OSSEs) have been conducted to evaluate the effect of Argo data assimilation on ocean reanalysis in the Pacific region. The “truth” is obtained from a 5-year model integration from 2003 to 2007 based on the MIT general circulation model with the truly varying atmospheric forcing. The “observations” are the projections of the truth onto the observational network including ocean station data, CTD, and various BTs and Argo, by adding white noise to simulate observational errors. The data assimilation method employed is a sequential three-dimensional variational (3D-Var) scheme within a multigrid framework. Results show the interannual variability of temperature, salinity, and current fields can be reconstructed fairly well. The spread of temperature anomalies in the tropical Pacific region is also able to be reflected accurately when Argo data is assimilated, which may provide a reliable initial field for the forecast of temperature and currents for the subsurface in the tropical Pacific region. The adjustment of salinity by using T-S relationship is vital in the tropical Pacific region. However, the adjustment of salinity is almost meaningless in the northwest Pacific if Argo data is included during the reanalysis.http://dx.doi.org/10.1155/2017/7314106 |
| spellingShingle | Xuefeng Zhang Chaohui Sun Chang Liu Lianxin Zhang Caixia Shao Xiaoshuang Zhang Yuxin Zhao Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific Region Advances in Meteorology |
| title | Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific Region |
| title_full | Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific Region |
| title_fullStr | Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific Region |
| title_full_unstemmed | Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific Region |
| title_short | Evaluation of the Impact of Argo Data on Ocean Reanalysis in the Pacific Region |
| title_sort | evaluation of the impact of argo data on ocean reanalysis in the pacific region |
| url | http://dx.doi.org/10.1155/2017/7314106 |
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