Sensitivity determined simultaneous estimation of multiple parameters in coupled models: part I—based on single model component sensitivities-Reference-Cited by-同舟云学术

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Sensitivity determined simultaneous estimation of multiple parameters in coupled models: part I—based on single model component sensitivities

Published:2019-06-27 Issue:9-10 Volume:53 Page:5349-5373
ISSN:0930-7575
Container-title:Climate Dynamics
language:en
Short-container-title:Clim Dyn

Author:

Zhao Yuxin,Deng Xiong,Zhang Shaoqing,Liu Zhengyu,Liu Chang

Funder

National CMOST Key Research & Development projects

National Natural Science Foundation of China

FRFCUC

YCAB of Heilongjiang Province

SRFROCS of Heilongjiang Province

Harbin Engineering University

China Scholarship Council

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/content/pdf/10.1007/s00382-019-04865-3.pdf

Reference67 articles.

1. Aksoy A, Zhang F, Nielsen-Gammon JW (2006a) Ensemble-based simultaneous state and parameter estimation with MM5. Geophys Res Lett 33:L12801. https://doi.org/10.1029/2006GL026186

2. Aksoy A, Zhang F, Nielsen-Gammon JW (2006b) Ensemble-based simultaneous state and parameter estimation in a two-dimensional sea-breeze model. Mon Weather Rev 134:2951–2970. https://doi.org/10.1175/MWR3224.1

3. Anderson JL (2001) An ensemble adjustment Kalman Filter for data assimilation. Mon Weather Rev 129:2884–2903. https://doi.org/10.1175/1520-0493(2001)129%3c2884:AEAKFF%3e2.0.CO;2

4. Anderson JL (2003) A local least squares framework for ensemble filtering. Mon Weather Rev 131:634–642. https://doi.org/10.1175/1520-0493(2003)131%3c0634:ALLSFF%3e2.0.CO;2

5. Annan JD, Hargreaves JC (2004) Efficient parameter estimation for a highly chaotic system. Tellus A 56A:520–526. https://doi.org/10.1111/j.1600-0870.2004.00073.x

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