Evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the Kuroshio Extension
The sensitivity of the sea surface height anomaly (SSHA) forecasting on the accuracy of mesoscale eddies over the Kuroshio Extension region, which was determined by the conditional non-linear optimal perturbation (CNOP) method using a two-layer quasigeostrophic model, is evaluated by adopting multip...
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Marine Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmars.2023.1097209/full |
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| author | Lin Jiang Lin Jiang Wansuo Duan Wansuo Duan Hui Wang Hailong Liu Hailong Liu Lingjiang Tao |
| author_facet | Lin Jiang Lin Jiang Wansuo Duan Wansuo Duan Hui Wang Hailong Liu Hailong Liu Lingjiang Tao |
| author_sort | Lin Jiang |
| collection | DOAJ |
| description | The sensitivity of the sea surface height anomaly (SSHA) forecasting on the accuracy of mesoscale eddies over the Kuroshio Extension region, which was determined by the conditional non-linear optimal perturbation (CNOP) method using a two-layer quasigeostrophic model, is evaluated by adopting multiply realistic marine datasets through an advanced particle filter assimilation method. It is shown that, if additional observations are preferentially assimilated to the sensitive area of mesoscale eddies identified by the CNOP, where the eddies present a clear high- to low-velocity gradient along the eddy rotation, the forecasting skill of the SSHA can be more significantly improved. It is also demonstrated that the forecasts of the SSHA in the region where the large-scale mean flow possesses much stronger barotropic and/or baroclinic instability tend to exhibit stronger sensitivity to the accuracy of the initial field in the sensitive area of mesoscale eddies. Therefore, more attention should be preferentially paid to the assimilation of the additional observations of the mesoscale eddies for the SSHA forecast in the region with a strong velocity shear of ocean circulation. The present study verifies the sensitivity on mesoscale eddies of SSHA forecasts derived by the two-layer quasigeostrophic model using multiply sets of realistic oceanic data, especially including observation and reanalysis data, which further additionally demonstrates the importance of targeted observations of mesoscale eddies to the SSHA forecast in the regions of strong velocity shear of ocean circulation and provides a more credible scientific basis for the field campaign of the targeted observations for mesoscale eddies associated with the SSHA forecasting. |
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| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-04-10T17:43:21Z |
| publishDate | 2023-02-01 |
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| series | Frontiers in Marine Science |
| spelling | doaj.art-903dac401fe7412ab894769dab3a024e2023-02-03T07:06:53ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452023-02-011010.3389/fmars.2023.10972091097209Evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the Kuroshio ExtensionLin Jiang0Lin Jiang1Wansuo Duan2Wansuo Duan3Hui Wang4Hailong Liu5Hailong Liu6Lingjiang Tao7Institute of Marine Science and Technology, Shandong University, Qingdao, ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaCollege of Marine Science, University of Chinese Academy of Sciences, Qingdao, ChinaInstitute of Marine Science and Technology, Shandong University, Qingdao, ChinaState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaCollege of Marine Science, University of Chinese Academy of Sciences, Qingdao, ChinaDepartment of Atmospheric and Oceanic Sciences and Institute of Atmospheric Sciences, Fudan University, Shanghai, ChinaThe sensitivity of the sea surface height anomaly (SSHA) forecasting on the accuracy of mesoscale eddies over the Kuroshio Extension region, which was determined by the conditional non-linear optimal perturbation (CNOP) method using a two-layer quasigeostrophic model, is evaluated by adopting multiply realistic marine datasets through an advanced particle filter assimilation method. It is shown that, if additional observations are preferentially assimilated to the sensitive area of mesoscale eddies identified by the CNOP, where the eddies present a clear high- to low-velocity gradient along the eddy rotation, the forecasting skill of the SSHA can be more significantly improved. It is also demonstrated that the forecasts of the SSHA in the region where the large-scale mean flow possesses much stronger barotropic and/or baroclinic instability tend to exhibit stronger sensitivity to the accuracy of the initial field in the sensitive area of mesoscale eddies. Therefore, more attention should be preferentially paid to the assimilation of the additional observations of the mesoscale eddies for the SSHA forecast in the region with a strong velocity shear of ocean circulation. The present study verifies the sensitivity on mesoscale eddies of SSHA forecasts derived by the two-layer quasigeostrophic model using multiply sets of realistic oceanic data, especially including observation and reanalysis data, which further additionally demonstrates the importance of targeted observations of mesoscale eddies to the SSHA forecast in the regions of strong velocity shear of ocean circulation and provides a more credible scientific basis for the field campaign of the targeted observations for mesoscale eddies associated with the SSHA forecasting.https://www.frontiersin.org/articles/10.3389/fmars.2023.1097209/fullmesoscale eddysensitivitydata assimilationsea surface height anomalyforecasting |
| spellingShingle | Lin Jiang Lin Jiang Wansuo Duan Wansuo Duan Hui Wang Hailong Liu Hailong Liu Lingjiang Tao Evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the Kuroshio Extension Frontiers in Marine Science mesoscale eddy sensitivity data assimilation sea surface height anomaly forecasting |
| title | Evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the Kuroshio Extension |
| title_full | Evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the Kuroshio Extension |
| title_fullStr | Evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the Kuroshio Extension |
| title_full_unstemmed | Evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the Kuroshio Extension |
| title_short | Evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the Kuroshio Extension |
| title_sort | evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the kuroshio extension |
| topic | mesoscale eddy sensitivity data assimilation sea surface height anomaly forecasting |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2023.1097209/full |
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