Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 23
Articles | Volume 15, issue 23
https://doi.org/10.5194/gmd-15-8869-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-8869-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 23
Model description paper
 | 
12 Dec 2022
Model description paper |  | 12 Dec 2022

A local data assimilation method (Local DA v1.0) and its application in a simulated typhoon case

Shizhang Wang and Xiaoshi Qiao

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Short summary
A local data assimilation scheme (Local DA v1.0) was proposed to leverage the advantage of hybrid covariance, multiscale localization, and parallel computation. The Local DA can perform covariance localization in model space, observation space, or both spaces. The Local DA that used the hybrid covariance and double-space localization produced the lowest analysis and forecast errors among all observing system simulation experiments.
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