Articles | Volume 15, issue 12
https://doi.org/10.5194/gmd-15-4805-2022
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, Yingjing Jiang, Shaoqing Zhang, Weimin Zhang, Lv Lu, Guangliang Liu, Yuhu Chen, Xiang Xing, Xiaopei Lin, and Lixin Wu

Data sets

Program codes and main data for the paper "An Online Ensemble Coupled Data Assimilation Capability for the Community Earth System Model: System Design and Evaluation" Yingjing Jiang, Shaoqing Zhang, and Jingzhe Sun https://doi.org/10.5281/zenodo.5733849

Model code and software

Program codes and main data for the paper "An Online Ensemble Coupled Data Assimilation Capability for the Community Earth System Model: System Design and Evaluation" Yingjing Jiang, Shaoqing Zhang, and Jingzhe Sun https://doi.org/10.5281/zenodo.5733849

Download
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.