Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration Simulation
Based on the CICE sea ice model and the PDAF parallel data assimilation framework, this paper uses the local error subspace transform Kalman filter method (LESTKF) to assimilate the sea ice concentration, sea ice thickness and sea ice freeboard data into the model, and designs experiments to study t...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Ocean Development and Management
2024-06-01
|
| Series: | Haiyang Kaifa yu guanli |
| Subjects: | |
| Online Access: | http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20240601&flag=1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850192370094571520 |
|---|---|
| author | ZHANG Sihan ZHAO Jiechen ZOU Wenfeng WU Jie WANG Yingzheng CHEN Ziyi ZHAO Dinglong MU Fangru |
| author_facet | ZHANG Sihan ZHAO Jiechen ZOU Wenfeng WU Jie WANG Yingzheng CHEN Ziyi ZHAO Dinglong MU Fangru |
| author_sort | ZHANG Sihan |
| collection | DOAJ |
| description | Based on the CICE sea ice model and the PDAF parallel data assimilation framework, this paper uses the local error subspace transform Kalman filter method (LESTKF) to assimilate the sea ice concentration, sea ice thickness and sea ice freeboard data into the model, and designs experiments to study the improvement of multi-parameter assimilation on the simulation of Arctic sea ice concentration and range. The results show that data assimilation has a good improvement effect on the simulation of Arctic sea ice concentration and range. The average deviation, root mean square error and mean absolute error of the assimilation experiment are significantly reduced compared with the control experiment. The assimilation experiment improves the simulation of sea ice concentration and range most obviously in summer. Multi-parameter assimilation can improve the prediction accuracy and reliability of Arctic sea ice change. |
| format | Article |
| id | doaj-art-9e0701271c3d46b690de8e9d5f3fc239 |
| institution | OA Journals |
| issn | 1005-9857 |
| language | zho |
| publishDate | 2024-06-01 |
| publisher | Editorial Office of Ocean Development and Management |
| record_format | Article |
| series | Haiyang Kaifa yu guanli |
| spelling | doaj-art-9e0701271c3d46b690de8e9d5f3fc2392025-08-20T02:14:35ZzhoEditorial Office of Ocean Development and ManagementHaiyang Kaifa yu guanli1005-98572024-06-014163141005-9857(2024)06-0003-12Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration SimulationZHANG Sihan0ZHAO Jiechen1ZOU Wenfeng2WU Jie3WANG Yingzheng4CHEN Ziyi5ZHAO Dinglong6MU Fangru7Qingdao Innovation Development Base of Harbin Engineering University, Qingdao 266000, ChinaQingdao Innovation Development Base of Harbin Engineering University, Qingdao 266000, ChinaCOSCO Shipping (Guangzhou) Co., Ltd., Guangzhou 510220, ChinaCOSCO Shipping Specialized Carriers Co., Ltd., Guangzhou 510220, ChinaCOSCO Shipping (Guangzhou) Co., Ltd., Guangzhou 510220, ChinaQingdao Innovation Development Base of Harbin Engineering University, Qingdao 266000, ChinaQingdao Innovation Development Base of Harbin Engineering University, Qingdao 266000, ChinaQingdao Innovation Development Base of Harbin Engineering University, Qingdao 266000, ChinaBased on the CICE sea ice model and the PDAF parallel data assimilation framework, this paper uses the local error subspace transform Kalman filter method (LESTKF) to assimilate the sea ice concentration, sea ice thickness and sea ice freeboard data into the model, and designs experiments to study the improvement of multi-parameter assimilation on the simulation of Arctic sea ice concentration and range. The results show that data assimilation has a good improvement effect on the simulation of Arctic sea ice concentration and range. The average deviation, root mean square error and mean absolute error of the assimilation experiment are significantly reduced compared with the control experiment. The assimilation experiment improves the simulation of sea ice concentration and range most obviously in summer. Multi-parameter assimilation can improve the prediction accuracy and reliability of Arctic sea ice change.http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20240601&flag=1arctic sea icedata assimilationcicepdafsea ice concentrationsea ice extent |
| spellingShingle | ZHANG Sihan ZHAO Jiechen ZOU Wenfeng WU Jie WANG Yingzheng CHEN Ziyi ZHAO Dinglong MU Fangru Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration Simulation Haiyang Kaifa yu guanli arctic sea ice data assimilation cice pdaf sea ice concentration sea ice extent |
| title | Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration Simulation |
| title_full | Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration Simulation |
| title_fullStr | Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration Simulation |
| title_full_unstemmed | Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration Simulation |
| title_short | Improvement of Arctic Sea Ice Multi-Parameter Assimilation on Sea Ice Concentration Simulation |
| title_sort | improvement of arctic sea ice multi parameter assimilation on sea ice concentration simulation |
| topic | arctic sea ice data assimilation cice pdaf sea ice concentration sea ice extent |
| url | http://www.haiyangkaifayuguanli.com/hykfyglen/ch/reader/view_abstract.aspx?file_no=20240601&flag=1 |
| work_keys_str_mv | AT zhangsihan improvementofarcticseaicemultiparameterassimilationonseaiceconcentrationsimulation AT zhaojiechen improvementofarcticseaicemultiparameterassimilationonseaiceconcentrationsimulation AT zouwenfeng improvementofarcticseaicemultiparameterassimilationonseaiceconcentrationsimulation AT wujie improvementofarcticseaicemultiparameterassimilationonseaiceconcentrationsimulation AT wangyingzheng improvementofarcticseaicemultiparameterassimilationonseaiceconcentrationsimulation AT chenziyi improvementofarcticseaicemultiparameterassimilationonseaiceconcentrationsimulation AT zhaodinglong improvementofarcticseaicemultiparameterassimilationonseaiceconcentrationsimulation AT mufangru improvementofarcticseaicemultiparameterassimilationonseaiceconcentrationsimulation |