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Volume 35, Issue 5
Application of Continuous Data Assimilation in High-Resolution Ocean Modeling

Adam Larios, Mark Petersen & Collin Victor

DOI: 10.4208/cicp.OA-2023-0208

Commun. Comput. Phys., 35 (2024), pp. 1418-1444.

Published online: 2024-06

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  • Abstract

We demonstrate a formulation of the Azouani-Olson-Titi (AOT) algorithm in the MPAS-Ocean implementation of the primitive equations of the ocean, presenting global ocean simulations with realistic coastlines and bathymetry. We observe an exponentially fast decay in the error before reaching a certain error level, which depends on the terms involved and whether the AOT feedback control term was handled implicitly or explicitly. A wide range of errors was observed for both schemes, with the implicit scheme typically exhibiting lower error levels, depending on the specific physical terms included in the model. Several factors seem to be contributing to this wide range, but the vertical mixing term is demonstrated to be an especially problematic term. This study provides insight into the promises and challenges of adapting the AOT algorithm to the setting of high-resolution, realistic ocean models.

  • Keywords

Continuous data assimilation, Azouani-Olson-Titi, oceanography, MPAS-Ocean, primitive equations, nudging.

  • AMS Subject Headings

35Q86, 35Q93, 37N10, 86A05, 34D06, 93C20

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{CiCP-35-1418, author = {Larios , AdamPetersen , Mark and Victor , Collin}, title = {Application of Continuous Data Assimilation in High-Resolution Ocean Modeling}, journal = {Communications in Computational Physics}, year = {2024}, volume = {35}, number = {5}, pages = {1418--1444}, abstract = {

We demonstrate a formulation of the Azouani-Olson-Titi (AOT) algorithm in the MPAS-Ocean implementation of the primitive equations of the ocean, presenting global ocean simulations with realistic coastlines and bathymetry. We observe an exponentially fast decay in the error before reaching a certain error level, which depends on the terms involved and whether the AOT feedback control term was handled implicitly or explicitly. A wide range of errors was observed for both schemes, with the implicit scheme typically exhibiting lower error levels, depending on the specific physical terms included in the model. Several factors seem to be contributing to this wide range, but the vertical mixing term is demonstrated to be an especially problematic term. This study provides insight into the promises and challenges of adapting the AOT algorithm to the setting of high-resolution, realistic ocean models.

}, issn = {1991-7120}, doi = {https://doi.org/10.4208/cicp.OA-2023-0208}, url = {http://global-sci.org/intro/article_detail/cicp/23197.html} }
TY - JOUR T1 - Application of Continuous Data Assimilation in High-Resolution Ocean Modeling AU - Larios , Adam AU - Petersen , Mark AU - Victor , Collin JO - Communications in Computational Physics VL - 5 SP - 1418 EP - 1444 PY - 2024 DA - 2024/06 SN - 35 DO - http://doi.org/10.4208/cicp.OA-2023-0208 UR - https://global-sci.org/intro/article_detail/cicp/23197.html KW - Continuous data assimilation, Azouani-Olson-Titi, oceanography, MPAS-Ocean, primitive equations, nudging. AB -

We demonstrate a formulation of the Azouani-Olson-Titi (AOT) algorithm in the MPAS-Ocean implementation of the primitive equations of the ocean, presenting global ocean simulations with realistic coastlines and bathymetry. We observe an exponentially fast decay in the error before reaching a certain error level, which depends on the terms involved and whether the AOT feedback control term was handled implicitly or explicitly. A wide range of errors was observed for both schemes, with the implicit scheme typically exhibiting lower error levels, depending on the specific physical terms included in the model. Several factors seem to be contributing to this wide range, but the vertical mixing term is demonstrated to be an especially problematic term. This study provides insight into the promises and challenges of adapting the AOT algorithm to the setting of high-resolution, realistic ocean models.

Adam Larios, Mark Petersen & Collin Victor. (2024). Application of Continuous Data Assimilation in High-Resolution Ocean Modeling. Communications in Computational Physics. 35 (5). 1418-1444. doi:10.4208/cicp.OA-2023-0208
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