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 - <p style="text-align: justify;">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.</p>