globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2017MS000951
Scopus记录号: 2-s2.0-85024378163
论文题名:
Utilizing oceanic electromagnetic induction to constrain an ocean general circulation model: A data assimilation twin experiment
作者: Irrgang C; , Saynisch J; , Thomas M
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期:3
起始页码: 1703
结束页码: 1720
语种: 英语
英文关键词: Covariance matrix ; Electromagnetic induction ; Kalman filters ; Magnetic fields ; Magnetism ; Satellites ; Data assimilation ; Motional induction ; Ocean circulation ; Ocean model ; Satellite observations ; Oceanography ; air-sea interaction ; atmospheric forcing ; data assimilation ; electromagnetic field ; experimental design ; global ocean ; Kalman filter ; numerical model ; oceanic general circulation model ; sea surface ; wind forcing ; Pacific Ocean ; Pacific Ocean (South)
英文摘要: Satellite observations of the magnetic field induced by the general ocean circulation could provide new constraints on global oceanic water and heat transports. This opportunity is investigated in a model-based twin experiment by assimilating synthetic satellite observations of the ocean-induced magnetic field into a global ocean model. The general circulation of the world ocean is simulated over the period of 1 month. Idealized daily observations are generated from this simulation by calculating the ocean-induced magnetic field at 450 km altitude and disturbing these global fields with error estimates. Utilizing an ensemble Kalman filter, the observations are assimilated into the same ocean model with a different initial state and different atmospheric forcing. Compared to a reference simulation without data assimilation, the corrected ocean-induced magnetic field is improved throughout the whole simulation period and over large regions. The global RMS differences of the ocean-induced magnetic field are reduced by up to 17%. Local improvements show values up to 54%. RMS differences of the depth-integrated zonal and meridional ocean velocities are improved by up to 7% globally, and up to 50% locally. False corrections of the ocean model state are identified in the South Pacific Ocean and are linked to a deficient estimation of the ocean model error covariance matrices. Most Kalman filter induced changes in the ocean velocities extend from the sea surface down to the deep ocean. Allowing the Kalman filter to correct the wind stress forcing of the ocean model is essential for a successful assimilation. © 2017. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75757
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Section 1.3: Earth System Modelling, Potsdam, Germany; Institute of Meteorology, Freie Universität Berlin, Berlin, Germany

Recommended Citation:
Irrgang C,, Saynisch J,, Thomas M. Utilizing oceanic electromagnetic induction to constrain an ocean general circulation model: A data assimilation twin experiment[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(3)
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