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    Statistical analysis in downscaling climate models : wavelet and Bayesian methods in multimodel ensembles

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    CAI-MASTERS-REPORT.pdf (516.6Kb)
    Date
    2009-08
    Author
    Cai, Yihua
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    Abstract
    Various climate models have been developed to analyze and predict climate change; however, model uncertainties cannot be easily overcome. A statistical approach has been presented in this paper to calculate the distributions of future climate change based on an ensemble of the Weather Research and Forecasting (WRF) models. Wavelet analysis has been adopted to de-noise the WRF model output. Using the de-noised model output, we carry out Bayesian analysis to decrease uncertainties in model CAM_KF, RRTM_KF and RRTM_GRELL for each downscaling region.
    Department
    Mathematics
    Description
    text
    Subject
    Bayesian analysis
    wavelet analysis
    multimodel ensembles
    URI
    http://hdl.handle.net/2152/ETD-UT-2009-08-293
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