A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System
Coupling parameter estimation (CPE) that uses observations to estimate the parameters in a coupled model through error covariance between variables residing in different media may increase the consistency of estimated parameters in an air-sea coupled system. However, it is very challenging to accura...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2015/530764 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832553189567627264 |
|---|---|
| author | Guijun Han Xinrong Wu Shaoqing Zhang Zhengyu Liu Ionel Michael Navon Wei Li |
| author_facet | Guijun Han Xinrong Wu Shaoqing Zhang Zhengyu Liu Ionel Michael Navon Wei Li |
| author_sort | Guijun Han |
| collection | DOAJ |
| description | Coupling parameter estimation (CPE) that uses observations to estimate the parameters in a coupled model through error covariance between variables residing in different media may increase the consistency of estimated parameters in an air-sea coupled system. However, it is very challenging to accurately evaluate the error covariance between such variables due to the different characteristic time scales at which flows vary in different media. With a simple Lorenz-atmosphere and slab ocean coupled system that characterizes the interaction of two-timescale media in a coupled “climate” system, this study explores feasibility of the CPE with four-dimensional variational analysis and ensemble Kalman filter within a perfect observing system simulation experiment framework. It is found that both algorithms can improve the representation of air-sea coupling processes through CPE compared to state estimation only. These simple model studies provide some insights when parameter estimation is implemented with a coupled general circulation model for improving climate estimation and prediction initialization. |
| format | Article |
| id | doaj-art-4d3e058d274946589ef9743e0512c3f0 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-4d3e058d274946589ef9743e0512c3f02025-02-03T05:55:17ZengWileyAdvances in Meteorology1687-93091687-93172015-01-01201510.1155/2015/530764530764A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled SystemGuijun Han0Xinrong Wu1Shaoqing Zhang2Zhengyu Liu3Ionel Michael Navon4Wei Li5Key Laboratory of Marine Environmental Information Technology, State Oceanic Administration, National Marine Data and Information Service, Tianjin 300171, ChinaKey Laboratory of Marine Environmental Information Technology, State Oceanic Administration, National Marine Data and Information Service, Tianjin 300171, ChinaGeophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton University, Princeton, NJ 08542, USACenter for Climate Research and Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI 53706, USADepartment of Scientific Computing, Florida State University, Tallahassee, FL 32306, USAKey Laboratory of Marine Environmental Information Technology, State Oceanic Administration, National Marine Data and Information Service, Tianjin 300171, ChinaCoupling parameter estimation (CPE) that uses observations to estimate the parameters in a coupled model through error covariance between variables residing in different media may increase the consistency of estimated parameters in an air-sea coupled system. However, it is very challenging to accurately evaluate the error covariance between such variables due to the different characteristic time scales at which flows vary in different media. With a simple Lorenz-atmosphere and slab ocean coupled system that characterizes the interaction of two-timescale media in a coupled “climate” system, this study explores feasibility of the CPE with four-dimensional variational analysis and ensemble Kalman filter within a perfect observing system simulation experiment framework. It is found that both algorithms can improve the representation of air-sea coupling processes through CPE compared to state estimation only. These simple model studies provide some insights when parameter estimation is implemented with a coupled general circulation model for improving climate estimation and prediction initialization.http://dx.doi.org/10.1155/2015/530764 |
| spellingShingle | Guijun Han Xinrong Wu Shaoqing Zhang Zhengyu Liu Ionel Michael Navon Wei Li A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System Advances in Meteorology |
| title | A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System |
| title_full | A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System |
| title_fullStr | A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System |
| title_full_unstemmed | A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System |
| title_short | A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System |
| title_sort | study of coupling parameter estimation implemented by 4d var and enkf with a simple coupled system |
| url | http://dx.doi.org/10.1155/2015/530764 |
| work_keys_str_mv | AT guijunhan astudyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT xinrongwu astudyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT shaoqingzhang astudyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT zhengyuliu astudyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT ionelmichaelnavon astudyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT weili astudyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT guijunhan studyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT xinrongwu studyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT shaoqingzhang studyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT zhengyuliu studyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT ionelmichaelnavon studyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem AT weili studyofcouplingparameterestimationimplementedby4dvarandenkfwithasimplecoupledsystem |