Articles | Volume 15, issue 12
Geosci. Model Dev., 15, 4805–4830, 2022
https://doi.org/10.5194/gmd-15-4805-2022
Geosci. Model Dev., 15, 4805–4830, 2022
https://doi.org/10.5194/gmd-15-4805-2022
Model evaluation paper
23 Jun 2022
Model evaluation paper | 23 Jun 2022

An online ensemble coupled data assimilation capability for the Community Earth System Model: system design and evaluation

Jingzhe Sun et al.

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Cited articles

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Anderson, J. L.: A local least squares framework for ensemble filtering, Mon. Weather Rev., 131, 634–642, 2003. 
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Short summary
An online ensemble coupled data assimilation system with the Community Earth System Model is designed and evaluated. This system uses the memory-based information transfer approach which avoids frequent I/O operations. The observations of surface pressure, sea surface temperature, and in situ temperature and salinity profiles can be effectively assimilated into the coupled model. That will facilitate a long-term high-resolution climate reanalysis once the algorithm efficiency is much improved.