Dreary state of precipitation in global models
Dreary state of precipitation in global models
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DOI：
10.1029/2010jd014532
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发表时间：
2010-12
影响因子：
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通讯作者：
G. Stephens;T. L’Ecuyer;R. Forbes;Andrew Gettelmen;J. Golaz;A. Bodas‐Salcedo;Kentaroh Suzuki;P. Gabriel;J. Haynes
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文献类型：
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作者：
G. Stephens;T. L’Ecuyer;R. Forbes;Andrew Gettelmen;J. Golaz;A. Bodas‐Salcedo;Kentaroh Suzuki;P. Gabriel;J. Haynes
[1]通过云量提供的新的，确定的降水频率测量用于评估全球降水的现实主义。全球天气和气候模型产生的液体降水的特征。最新的气候模型以及新兴的高分辨率全球云“解决”模型。 。根据表面累积的降雨量测量，这一发现的含义大约是观察到的降雨量的大约两倍。
[1] New, definitive measures of precipitation frequency provided by CloudSat are used to assess the realism of global model precipitation. The character of liquid precipitation (defined as a combination of accumulation, frequency, and intensity) over the global oceans is significantly different from the character of liquid precipitation produced by global weather and climate models. Five different models are used in this comparison representing state-of-the-art weather prediction models, state-of-the-art climate models, and the emerging high-resolution global cloud “resolving” models. The differences between observed and modeled precipitation are larger than can be explained by observational retrieval errors or by the inherent sampling differences between observations and models. We show that the time integrated accumulations of precipitation produced by models closely match observations when globally composited. However, these models produce precipitation approximately twice as often as that observed and make rainfall far too lightly. This finding reinforces similar findings from other studies based on surface accumulated rainfall measurements. The implications of this dreary state of model depiction of the real world are discussed.