Articles | Volume 15, issue 12
https://doi.org/10.5194/gmd-15-4805-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-4805-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
23 Jun 2022
Model evaluation paper |
| 23 Jun 2022
| 23 Jun 2022
An online ensemble coupled data assimilation capability for the Community Earth System Model: system design and evaluation
Jingzhe Sun
Beijing Institute of Applied Meteorology, Beijing, China
Yingjing Jiang
Key Laboratory of Physical Oceanography, Ministry of
Education/Institute for Advanced Ocean Study/Frontiers Science Center for
Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China,
Qingdao, China
College of Oceanic and Atmospheric Sciences, Ocean University of
China, Qingdao, China
Shaoqing Zhang
CORRESPONDING AUTHOR
Key Laboratory of Physical Oceanography, Ministry of
Education/Institute for Advanced Ocean Study/Frontiers Science Center for
Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China,
Qingdao, China
Qingdao Pilot National Laboratory for Marine Science and Technology
(QNLM), Qingdao, China
College of Oceanic and Atmospheric Sciences, Ocean University of
China, Qingdao, China
Weimin Zhang
CORRESPONDING AUTHOR
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai,
China
Lv Lu
Key Laboratory of Physical Oceanography, Ministry of
Education/Institute for Advanced Ocean Study/Frontiers Science Center for
Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China,
Qingdao, China
College of Oceanic and Atmospheric Sciences, Ocean University of
China, Qingdao, China
Guangliang Liu
Shandong Provincial Key Laboratory of Computer Networks, Qilu
University of Technology (Shandong Academy of Sciences), Jinan, China
Yuhu Chen
Qingdao Pilot National Laboratory for Marine Science and Technology
(QNLM), Qingdao, China
Xiang Xing
Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai,
China
Xiaopei Lin
Key Laboratory of Physical Oceanography, Ministry of
Education/Institute for Advanced Ocean Study/Frontiers Science Center for
Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China,
Qingdao, China
Qingdao Pilot National Laboratory for Marine Science and Technology
(QNLM), Qingdao, China
College of Oceanic and Atmospheric Sciences, Ocean University of
China, Qingdao, China
Lixin Wu
Key Laboratory of Physical Oceanography, Ministry of
Education/Institute for Advanced Ocean Study/Frontiers Science Center for
Deep Ocean Multispheres and Earth System (DOMES), Ocean University of China,
Qingdao, China
Qingdao Pilot National Laboratory for Marine Science and Technology
(QNLM), Qingdao, China
College of Oceanic and Atmospheric Sciences, Ocean University of
China, Qingdao, China
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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.
An online ensemble coupled data assimilation system with the Community Earth System Model is...
