Strongly Coupled Data Assimilation of Ocean Observations Into an Ocean-Atmosphere Model

We compare strongly coupled data assimilation (SCDA) and weakly coupled data assimilation (WCDA) by analyzing the assimilation effect on the estimation of the ocean and the atmosphere variables. The AWI climate model (AWI-CM-1.1) is coupled with the parallel data assimilation framework (PDAF). Only...

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Bibliographic Details
Published in:Geophysical Research Letters
Main Authors: Tang, Qi, Mu, Longjiang, Goessling, Helge, Semmler, Tido, Nerger, Lars
Format: Article in Journal/Newspaper
Language:unknown
Published: 2021
Subjects:
Arctic
Online Access:https://epic.awi.de/id/eprint/55317/
https://epic.awi.de/id/eprint/55317/1/Tang_etal_GRL48_e2021GL094941_2021.pdf
https://hdl.handle.net/10013/epic.22ee591a-5333-43b8-8384-e5faed8964fd
Description
Summary:We compare strongly coupled data assimilation (SCDA) and weakly coupled data assimilation (WCDA) by analyzing the assimilation effect on the estimation of the ocean and the atmosphere variables. The AWI climate model (AWI-CM-1.1) is coupled with the parallel data assimilation framework (PDAF). Only satellite sea surface temperature data are assimilated. For WCDA, only the ocean variables are directly updated by the assimilation. For SCDA, both the ocean and the atmosphere variables are directly updated by the assimilation. Both WCDA and SCDA improve ocean state and yield similar errors. In the atmosphere, WCDA gives slightly smaller errors for the near-surface temperature and wind velocity than SCDA. In the free atmosphere, SCDA yields smaller errors for the temperature, wind velocity, and specific humidity than WCDA in the Arctic region, while in the tropical region, the errors are generally larger.

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