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    Improving Short-Range Ensemble Kalman Storm Surge Forecasting Using Robust Adaptive Inflation

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    mwr-d-12-00310%2E1.pdf
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    Description:
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    Type
    Article
    Authors
    Altaf, Muhammad
    Butler, T.
    Luo, X.
    Dawson, C.
    Mayo, T.
    Hoteit, Ibrahim cc
    KAUST Department
    Earth Fluid Modeling and Prediction Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Water Desalination and Reuse Research Center (WDRC)
    Date
    2013-08
    Permanent link to this record
    http://hdl.handle.net/10754/552734
    
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    Abstract
    This paper presents a robust ensemble filtering methodology for storm surge forecasting based on the singular evolutive interpolated Kalman (SEIK) filter, which has been implemented in the framework of the H∞ filter. By design, an H∞ filter is more robust than the common Kalman filter in the sense that the estimation error in the H∞ filter has, in general, a finite growth rate with respect to the uncertainties in assimilation. The computational hydrodynamical model used in this study is the Advanced Circulation (ADCIRC) model. The authors assimilate data obtained from Hurricanes Katrina and Ike as test cases. The results clearly show that the H∞-based SEIK filter provides more accurate short-range forecasts of storm surge compared to recently reported data assimilation results resulting from the standard SEIK filter.
    Citation
    Improving Short-Range Ensemble Kalman Storm Surge Forecasting Using Robust Adaptive Inflation 2013, 141 (8):2705 Monthly Weather Review
    Publisher
    American Meteorological Society
    Journal
    Monthly Weather Review
    DOI
    10.1175/MWR-D-12-00310.1
    Additional Links
    http://journals.ametsoc.org/doi/abs/10.1175/MWR-D-12-00310.1
    ae974a485f413a2113503eed53cd6c53
    10.1175/MWR-D-12-00310.1
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program; Water Desalination and Reuse Research Center (WDRC)

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