Development and evaluation of a new 4DEnVar-based weakly coupled ocean data assimilation system in E3SMv2

Shi, Pengfei; Leung, L. Ruby; Wang, Bin

doi:https://doi.org/10.5194/gmd-18-2443-2025

Articles | Volume 18, issue 8

https://doi.org/10.5194/gmd-18-2443-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-2443-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 8

Development and technical paper

|

25 Apr 2025

Development and technical paper |

| 25 Apr 2025

Development and evaluation of a new 4DEnVar-based weakly coupled ocean data assimilation system in E3SMv2

Pengfei Shi, L. Ruby Leung, and Bin Wang

Data sets

Data for the analyses P. Shi https://doi.org/10.5281/zenodo.13283117

EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates (https://www.metoffice.gov.uk/hadobs/en4/) S. A. Good et al. https://doi.org/10.1002/2013JC009067

Model code and software

E3SMv2 source codes P. Shi https://doi.org/10.5281/zenodo.13259801

Short summary

Improving climate predictions has significant socio-economic impacts. In this study, we develop and apply a new weakly coupled ocean data assimilation (WCODA) system to a coupled climate model. The WCODA system improves simulations of ocean temperature and salinity across many global regions. This system is meant to advance our understanding of the ocean's role in climate predictability.