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Tellus A: Dynamic Meteorology and Oceanography Volume 64, 2012 - Issue 1
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Data assimilation and predictability

A hybrid nudging-ensemble Kalman filter approach to data assimilation. Part II: application in a shallow-water model

Lili LeiThe Pennsylvania State University,, 621 Walker Building, University Park, PA 16802USA
,
David R. StaufferThe Pennsylvania State University,, 621 Walker Building, University Park, PA 16802USACorrespondence[email protected]
&
Aijun DengThe Pennsylvania State University,, 621 Walker Building, University Park, PA 16802USA
Article: 18485 | Received 22 Feb 2011, Accepted 29 Mar 2012, Published online: 29 May 2012

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Lili Lei, David R. Stauffer & Aijun Deng. (2012) A hybrid nudging-ensemble Kalman filter approach to data assimilation. Part II: application in a shallow-water model. Tellus A: Dynamic Meteorology and Oceanography 64:1.
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Articles from other publishers (11)

Konstantinos Kellaris, Nikolaos Petros Pallas & Demetri Bouris. (2023) Numerical calculation of the turbulent flow past a surface mounted cube with assimilation of PIV data. Measurement Science and Technology 35:1, pages 015301.
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Yangjinxi Ge, Lili Lei, Jeffrey S. Whitaker & Zhe‐Min Tan. (2022) The Impact of Incremental Analysis Update on Regional Simulations for Typhoons. Journal of Advances in Modeling Earth Systems 14:10.
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Brian P. Reen, Huaqing Cai, Robert E. DumaisJr.Jr., Yuanfu Xie, Steve Albers & John W. Raby. (2022) Combining vLAPS and Nudging Data Assimilation. Atmosphere 13:1, pages 127.
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Huan He, Lili Lei, Jeffrey S. Whitaker & Zhe‐Min Tan. (2020) Impacts of Assimilation Frequency on Ensemble Kalman Filter Data Assimilation and Imbalances. Journal of Advances in Modeling Earth Systems 12:10.
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Saroja Polavarapu & Manuel Pulido. 2017. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III). Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) 429 454 .
A. Carrassi, V. Guemas, F. J. Doblas-Reyes, D. Volpi & M. Asif. (2016) Sources of skill in near-term climate prediction: generating initial conditions. Climate Dynamics 47:12, pages 3693-3712.
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Lili Lei & Jeffrey S. Whitaker. (2016) A Four-Dimensional Incremental Analysis Update for the Ensemble Kalman Filter. Monthly Weather Review 144:7, pages 2605-2621.
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Lili Lei & Joshua P. Hacker. (2015) Nudging, Ensemble, and Nudging Ensembles for Data Assimilation in the Presence of Model Error. Monthly Weather Review 143:7, pages 2600-2610.
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V. Yesubabu, C. V. Srinivas, S. S. V. S. Ramakrishna & K. B. R. R. Hari Prasad. (2014) Impact of period and timescale of FDDA analysis nudging on the numerical simulation of tropical cyclones in the Bay of Bengal. Natural Hazards 74:3, pages 2109-2128.
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G. A. Ruggiero, Y. Ourmières, E. Cosme, J. Blum, D. Auroux & J. Verron. (2014) Data assimilation experiments using the diffusive back and forth nudging for the NEMO ocean model. Nonlinear Processes in Geophysics Discussions 1:2, pages 1073-1131.
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Z. Mussa, I. Amour, A. Bibov & T. Kauranne. (2014) Data assimilation of two-dimensional geophysical flows with a Variational Ensemble Kalman Filter. Nonlinear Processes in Geophysics Discussions 1:1, pages 403-446.
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