Strongly Coupled Data Assimilation of Ocean Observations Into an Ocean-Atmosphere Model

被引:11
作者
Tang, Q. [1 ,2 ]
Mu, L. [1 ,3 ]
Goessling, H. F. [1 ]
Semmler, T. [1 ]
Nerger, L. [1 ]
机构
[1] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Bremerhaven, Germany
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
[3] Pilot Natl Lab Marine Sci & Technol, Qingdao, Peoples R China
关键词
coupled ocean-atmosphere model; cross-covariance; ensemble Kalman filter; sea surface temperature; strongly coupled data assimilation; FORMULATION; CLIMATE;
D O I
10.1029/2021GL094941
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We compare strongly coupled data assimilation (SCDA) and weakly coupled data assimilation (WCDA) by analyzing the assimilation effect on the estimation of the ocean and the atmosphere variables. The AWI climate model (AWI-CM-1.1) is coupled with the parallel data assimilation framework (PDAF). Only satellite sea surface temperature data are assimilated. For WCDA, only the ocean variables are directly updated by the assimilation. For SCDA, both the ocean and the atmosphere variables are directly updated by the assimilation. Both WCDA and SCDA improve ocean state and yield similar errors. In the atmosphere, WCDA gives slightly smaller errors for the near-surface temperature and wind velocity than SCDA. In the free atmosphere, SCDA yields smaller errors for the temperature, wind velocity, and specific humidity than WCDA in the Arctic region, while in the tropical region, the errors are generally larger.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Characterizing the Madden-Julian Oscillation in the western Pacific Ocean from a regional coupled ocean-atmosphere model simulation
    Misra, Vasubandhu
    Jayasankar, C. B.
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2024, 150 (759) : 746 - 762
  • [22] Simulation of the Intraseasonal Variations of the Indian Summer Monsoon in a Regional Coupled Ocean-Atmosphere Model
    Misra, Vasubandhu
    Mishra, Akhilesh
    Bhardwaj, Amit
    JOURNAL OF CLIMATE, 2018, 31 (08) : 3167 - 3185
  • [23] Vertical Mixing in the Ocean and Its Impact on the Coupled Ocean-Atmosphere System in the Eastern Tropical Pacific
    Richards, Kelvin J.
    Xie, Shang-Ping
    Miyama, Toru
    JOURNAL OF CLIMATE, 2009, 22 (13) : 3703 - 3719
  • [24] Indian Ocean and Indian summer monsoon: relationships without ENSO in ocean-atmosphere coupled simulations
    Cretat, Julien
    Terray, Pascal
    Masson, Sebastien
    Sooraj, K. P.
    Roxy, Mathew Koll
    CLIMATE DYNAMICS, 2017, 49 (04) : 1429 - 1448
  • [25] Coupled atmosphere-ocean data assimilation experiments with a low-order climate model
    Tardif, Robert
    Hakim, Gregory J.
    Snyder, Chris
    CLIMATE DYNAMICS, 2014, 43 (5-6) : 1631 - 1643
  • [26] Assessment of ocean analysis and forecast from an atmosphere-ocean coupled data assimilation operational system
    Guiavarc'h, Catherine
    Roberts-Jones, Jonah
    Harris, Chris
    Lea, Daniel J.
    Ryan, Andrew
    Ascione, Isabella
    OCEAN SCIENCE, 2019, 15 (05) : 1307 - 1326
  • [27] A review of progress in coupled ocean-atmosphere model developments for ENSO studies in China
    Zhang Rong-Hua
    Yu Yongqiang
    Song Zhenya
    Ren Hong-Li
    Tang Youmin
    Qiao Fangli
    Wu Tongwen
    Gao Chuan
    Hu Junye
    Tian Feng
    Zhu Yuchao
    Chen Lin
    Liu Hailong
    Lin Pengfei
    Wu Fanghua
    Wang Lin
    JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2020, 38 (04) : 930 - 961
  • [28] A Hybrid Coupled Ocean-Atmosphere Model and Its Simulation of ENSO and Atmospheric Responses
    Hu, Junya
    Zhang, Rong-Hua
    Gao, Chuan
    ADVANCES IN ATMOSPHERIC SCIENCES, 2019, 36 (06) : 643 - 657
  • [29] Simulations of the Indian summer monsoon with a coupled ocean-atmosphere model on PARAM Padma
    Janakiraman, S
    Nanjundiah, RS
    Vinayachandran, PN
    CURRENT SCIENCE, 2005, 89 (09): : 1555 - 1562
  • [30] Estimating Forecast Error Covariances for Strongly Coupled Atmosphere-Ocean 4D-Var Data Assimilation
    Smith, Polly J.
    Lawless, Amos S.
    Nichols, Nancy K.
    MONTHLY WEATHER REVIEW, 2017, 145 (10) : 4011 - 4035