Reproducibility of Summer Precipitation over Northern Eurasia in CMIP5 Multiclimate Models

DOI PDF 被引用文献4件 参考文献47件 オープンアクセス
  • Nagio Hirota
    National Institute of Polar Research, and Atmosphere and Ocean Research Institute, The University of Tokyo, Tokyo, Japan
  • Yukari N. Takayabu
    Atmosphere and Ocean Research Institute, The University of Tokyo, Tokyo, Japan
  • Atsushi Hamada
    Atmosphere and Ocean Research Institute, The University of Tokyo, Tokyo, Japan

書誌事項

公開日
2016-04-21
資源種別
journal article
DOI
  • 10.1175/jcli-d-15-0480.1
公開者
American Meteorological Society

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説明

<jats:title>Abstract</jats:title> <jats:p>Reproducibility of summer precipitation over northern Eurasia in climate models from phase 5 of the Coupled Model Intercomparison Project (CMIP5) is evaluated in comparison with several observational and reanalysis datasets. All CMIP5 models under- and overestimate precipitation over western and eastern Eurasia, respectively, and the reproducibility measured using the Taylor skill score is largely determined by the severity of these west–east precipitation biases. The following are the two possible causes for the precipitation biases: very little cloud cover and very strong local evaporation–precipitation coupling. The models underestimate cloud cover over Eurasia, allowing too much sunshine and leading to a warm bias at the surface. The associated cyclonic circulation biases in the lower troposphere weaken the modeled moisture transport from the Atlantic to western Eurasia and enhance the northward moisture flux along the eastern coast. Once the dry west and wet east biases appear in the models, they become amplified because of stronger evaporation–precipitation coupling. The CMIP5 models reproduce precipitation events well over a time scale of several days, including the associated low pressure systems and local convection. However, the modeled precipitation events are relatively weaker over western Eurasia and stronger over eastern Eurasia compared to the observations, and these are consistent with the biases found in the seasonal average fields.</jats:p>

収録刊行物

  • Journal of Climate

    Journal of Climate 29 (9), 3317-3337, 2016-04-21

    American Meteorological Society

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