Submitted as: development and technical paper 11 May 2020
Submitted as: development and technical paper | 11 May 2020
Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0
- 1Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
- 2First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
- 3Key Lab of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, China
- 4State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
- 1Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
- 2First Institute of Oceanography, Ministry of Natural Resources, Qingdao, China
- 3Key Lab of Marine Science and Numerical Modeling, Ministry of Natural Resources, Qingdao, China
- 4State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Abstract. Data assimilation (DA) provides better initial states of model runs by combining observational information and models. Ensemble-based DA methods that depend on the ensemble run of a model have been widely used. In response to the development of seamless prediction based on coupled models or even earth system models, coupled DA is now in the mainstream of DA development. In this paper, we focus on the technical challenges in developing a coupled ensemble DA system, which have not been satisfactorily addressed to date. We first propose a new DA framework DAFCC1 (Data Assimilation Framework based on C-Coupler2.0, version 1) for weakly coupled ensemble DA, which enables users to conveniently integrate a DA method into a model as a procedure that can be directly called by the model. DAFCC1 automatically and efficiently handles data exchanges between the model ensemble members and the DA method, and enables the DA method to utilize more processor cores in parallel execution. Based on DAFCC1, we then develop a sample weakly coupled ensemble DA system by combining the ensemble DA system GSI/EnKF and the coupled model FIO-AOW. This sample DA system and our evaluations demonstrate the effectiveness of DAFCC1 in both developing a weakly coupled ensemble DA system and accelerating the DA system.
Chao Sun et al.


-
SC1: 'Comment regarding requirements of PDAF', Lars Nerger, 29 May 2020
-
SC2: 'First reply to Dr. Lars Nerger', Li Liu, 30 May 2020
-
SC3: 'Some more clarifications on PDAF', Lars Nerger, 15 Jun 2020
-
SC4: 'Second reply to Dr. Lars Nerger', Li Liu, 18 Jun 2020
-
SC5: 'One ease of compilation, process setup and distribution of the analysis step', Lars Nerger, 29 Jun 2020
-
SC6: 'Third reply to Dr. Lars Nerger', Li Liu, 30 Jun 2020
-
SC6: 'Third reply to Dr. Lars Nerger', Li Liu, 30 Jun 2020
-
SC5: 'One ease of compilation, process setup and distribution of the analysis step', Lars Nerger, 29 Jun 2020
-
SC4: 'Second reply to Dr. Lars Nerger', Li Liu, 18 Jun 2020
-
SC3: 'Some more clarifications on PDAF', Lars Nerger, 15 Jun 2020
-
SC2: 'First reply to Dr. Lars Nerger', Li Liu, 30 May 2020
-
RC1: 'Referee comment', Anonymous Referee #1, 29 Jun 2020
-
SC7: 'First reply to Reviewer 1', Li Liu, 02 Jul 2020
-
SC7: 'First reply to Reviewer 1', Li Liu, 02 Jul 2020
-
RC2: 'Review of "Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0"', Anonymous Referee #2, 01 Jul 2020
-
SC8: 'First reply to Reviewer #2', Li Liu, 04 Jul 2020
-
SC8: 'First reply to Reviewer #2', Li Liu, 04 Jul 2020
-
AC1: 'Final response', Chao Sun, 04 Aug 2020


-
SC1: 'Comment regarding requirements of PDAF', Lars Nerger, 29 May 2020
-
SC2: 'First reply to Dr. Lars Nerger', Li Liu, 30 May 2020
-
SC3: 'Some more clarifications on PDAF', Lars Nerger, 15 Jun 2020
-
SC4: 'Second reply to Dr. Lars Nerger', Li Liu, 18 Jun 2020
-
SC5: 'One ease of compilation, process setup and distribution of the analysis step', Lars Nerger, 29 Jun 2020
-
SC6: 'Third reply to Dr. Lars Nerger', Li Liu, 30 Jun 2020
-
SC6: 'Third reply to Dr. Lars Nerger', Li Liu, 30 Jun 2020
-
SC5: 'One ease of compilation, process setup and distribution of the analysis step', Lars Nerger, 29 Jun 2020
-
SC4: 'Second reply to Dr. Lars Nerger', Li Liu, 18 Jun 2020
-
SC3: 'Some more clarifications on PDAF', Lars Nerger, 15 Jun 2020
-
SC2: 'First reply to Dr. Lars Nerger', Li Liu, 30 May 2020
-
RC1: 'Referee comment', Anonymous Referee #1, 29 Jun 2020
-
SC7: 'First reply to Reviewer 1', Li Liu, 02 Jul 2020
-
SC7: 'First reply to Reviewer 1', Li Liu, 02 Jul 2020
-
RC2: 'Review of "Developing a common, flexible and efficient framework for weakly coupled ensemble data assimilation based on C-Coupler2.0"', Anonymous Referee #2, 01 Jul 2020
-
SC8: 'First reply to Reviewer #2', Li Liu, 04 Jul 2020
-
SC8: 'First reply to Reviewer #2', Li Liu, 04 Jul 2020
-
AC1: 'Final response', Chao Sun, 04 Aug 2020
Chao Sun et al.
Chao Sun et al.
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
472 | 139 | 42 | 653 | 38 | 41 |
- HTML: 472
- PDF: 139
- XML: 42
- Total: 653
- BibTeX: 38
- EndNote: 41
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1