Comparison of Perturbation Strategies for the Initial Ensemble in Ocean Data Assimilation with a Fully Coupled Earth System Model
It is widely recognized that the initial ensemble describes the uncertainty of the variables and, thus, affects the performance of ensemble-based assimilation techniques, which is investigated in this paper with experiments using the Community Earth System Model (CESM) and the Data Assimilation Rese...
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2022
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Online Access: | https://doi.org/10.3390/jmse10030412 https://doaj.org/article/81b8c6e9e6f747e9a6f71257f8272eb3 |
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ftdoajarticles:oai:doaj.org/article:81b8c6e9e6f747e9a6f71257f8272eb3 2023-05-15T13:53:42+02:00 Comparison of Perturbation Strategies for the Initial Ensemble in Ocean Data Assimilation with a Fully Coupled Earth System Model Shaokun Deng Zheqi Shen Shengli Chen Renxi Wang 2022-03-01T00:00:00Z https://doi.org/10.3390/jmse10030412 https://doaj.org/article/81b8c6e9e6f747e9a6f71257f8272eb3 EN eng MDPI AG https://www.mdpi.com/2077-1312/10/3/412 https://doaj.org/toc/2077-1312 doi:10.3390/jmse10030412 2077-1312 https://doaj.org/article/81b8c6e9e6f747e9a6f71257f8272eb3 Journal of Marine Science and Engineering, Vol 10, Iss 412, p 412 (2022) initial ensemble perturbation ensemble Kalman filter Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 article 2022 ftdoajarticles https://doi.org/10.3390/jmse10030412 2022-12-31T08:24:21Z It is widely recognized that the initial ensemble describes the uncertainty of the variables and, thus, affects the performance of ensemble-based assimilation techniques, which is investigated in this paper with experiments using the Community Earth System Model (CESM) and the Data Assimilation Research Testbed (DART) assimilation software. Five perturbation strategies involving adding noises of different patterns and with/without extra integration are compared in the observation system simulation experiments framework, in which the SST is assimilated with the ensemble adjustment Kalman filter method. The comparison results show that for the observed variables (sea surface temperature), the differences in the initial ensemble lead to different rate of convergence in the assimilation, but all experiments reach convergence after three months. However, other variables (sea surface height and sea surface salinity) are more sensitive to the initial ensemble. The analysis of variance results reveal that the white-noise perturbation scheme has the largest RMSE. After excluding the effect of the white noise perturbation scheme, it can be found that the difference in the effect of different initial ensembles on the SSH with only assimilated SST is concentrated in the region of the Antarctic Circumpolar Current, which is related to the spread of the covariance between the SSH and the SST. Article in Journal/Newspaper Antarc* Antarctic Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Journal of Marine Science and Engineering 10 3 412 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
initial ensemble perturbation ensemble Kalman filter Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 |
spellingShingle |
initial ensemble perturbation ensemble Kalman filter Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 Shaokun Deng Zheqi Shen Shengli Chen Renxi Wang Comparison of Perturbation Strategies for the Initial Ensemble in Ocean Data Assimilation with a Fully Coupled Earth System Model |
topic_facet |
initial ensemble perturbation ensemble Kalman filter Naval architecture. Shipbuilding. Marine engineering VM1-989 Oceanography GC1-1581 |
description |
It is widely recognized that the initial ensemble describes the uncertainty of the variables and, thus, affects the performance of ensemble-based assimilation techniques, which is investigated in this paper with experiments using the Community Earth System Model (CESM) and the Data Assimilation Research Testbed (DART) assimilation software. Five perturbation strategies involving adding noises of different patterns and with/without extra integration are compared in the observation system simulation experiments framework, in which the SST is assimilated with the ensemble adjustment Kalman filter method. The comparison results show that for the observed variables (sea surface temperature), the differences in the initial ensemble lead to different rate of convergence in the assimilation, but all experiments reach convergence after three months. However, other variables (sea surface height and sea surface salinity) are more sensitive to the initial ensemble. The analysis of variance results reveal that the white-noise perturbation scheme has the largest RMSE. After excluding the effect of the white noise perturbation scheme, it can be found that the difference in the effect of different initial ensembles on the SSH with only assimilated SST is concentrated in the region of the Antarctic Circumpolar Current, which is related to the spread of the covariance between the SSH and the SST. |
format |
Article in Journal/Newspaper |
author |
Shaokun Deng Zheqi Shen Shengli Chen Renxi Wang |
author_facet |
Shaokun Deng Zheqi Shen Shengli Chen Renxi Wang |
author_sort |
Shaokun Deng |
title |
Comparison of Perturbation Strategies for the Initial Ensemble in Ocean Data Assimilation with a Fully Coupled Earth System Model |
title_short |
Comparison of Perturbation Strategies for the Initial Ensemble in Ocean Data Assimilation with a Fully Coupled Earth System Model |
title_full |
Comparison of Perturbation Strategies for the Initial Ensemble in Ocean Data Assimilation with a Fully Coupled Earth System Model |
title_fullStr |
Comparison of Perturbation Strategies for the Initial Ensemble in Ocean Data Assimilation with a Fully Coupled Earth System Model |
title_full_unstemmed |
Comparison of Perturbation Strategies for the Initial Ensemble in Ocean Data Assimilation with a Fully Coupled Earth System Model |
title_sort |
comparison of perturbation strategies for the initial ensemble in ocean data assimilation with a fully coupled earth system model |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/jmse10030412 https://doaj.org/article/81b8c6e9e6f747e9a6f71257f8272eb3 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Journal of Marine Science and Engineering, Vol 10, Iss 412, p 412 (2022) |
op_relation |
https://www.mdpi.com/2077-1312/10/3/412 https://doaj.org/toc/2077-1312 doi:10.3390/jmse10030412 2077-1312 https://doaj.org/article/81b8c6e9e6f747e9a6f71257f8272eb3 |
op_doi |
https://doi.org/10.3390/jmse10030412 |
container_title |
Journal of Marine Science and Engineering |
container_volume |
10 |
container_issue |
3 |
container_start_page |
412 |
_version_ |
1766259082414522368 |