JOURNAL OF JAPAN SOCIETY OF HYDROLOGY AND WATER RESOURCES
Online ISSN : 1349-2853
Print ISSN : 0915-1389
ISSN-L : 0915-1389
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Volume 33, Issue 6
Displaying 1-9 of 9 articles from this issue
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Review article
  • Bias Correction for Climate Model Output (1) Method Characteristics and Classification
    Satoshi WATANABE
    2020 Volume 33 Issue 6 Pages 243-262
    Published: November 05, 2020
    Released on J-STAGE: November 27, 2020
    DOIhttps://doi.org/10.3178/jjshwr.33.243
    JOURNAL FREE ACCESS
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    　This report presents a summary of methods to correct bias in output data from climate models. Climate change impact assessment necessitates appropriate handling of the bias in the climate model output. Before reviewing earlier studies related to bias correction and summarizing information to choose a method, this report presents a description of the relation between bias correction and statistical downscaling, which is often applied for post-processing of climate model output values. Bias correction methods include methods of two types: methods directly correcting a target variable and methods correcting physical processes. Differences between them are reviewed. Methods of selecting them properly are discussed herein, with review of methods developed and verified in earlier studies. After discussion of the respective methods’ benefits and shortcomings, this report explains methods used for verification and evaluation of bias correction.

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