A Systematic Tropospheric Dry Bias in the Tropics in CMIP5 Models: Relationship between Water Vapor and Rainfall Characteristics

IF 2.4 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of the Meteorological Society of Japan Pub Date : 2018-05-25 DOI:10.2151/JMSJ.2018-046
H. Takahashi
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引用次数: 2

Abstract

This study investigated the absolute values of column-integrated water vapor (precipitable water; PW) in the climate models used in the Coupled Model Intercomparison Project Phase 5 (CMIP5), in terms of the relation ships between PW and precipitation characteristics. We identified that global mean PW values are systematically much lower in CMIP5 models than in observations. This dry bias is most profound over the tropical ocean. The dry bias is partly due to biases in sea surface temperatures in the CMIP5-coupled climate models. However, the dry bias is also present in Atmospheric Model Intercomparison Project (AMIP) experiments, which implies the existence of other factors. The relationship between PW and rainfall characteristics shows that rainfall occurs when water vapor levels are lower than in observations, particularly in models with a relatively strong dry bias. This suggests that the reproducibility of rainfall characteristics may be associated with the dry bias.
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CMIP5模式下热带对流层系统干偏:水汽和降雨特征的关系
本文研究了水柱综合水汽(可降水量)的绝对值;耦合模式比对项目第5阶段(CMIP5)气候模式中PW)与降水特征之间的关系。我们发现CMIP5模式的全球平均PW值比观测值系统地低得多。这种干燥偏倚在热带海洋上最为明显。干燥偏倚部分是由于cmip5耦合气候模式中海面温度的偏倚。然而,在大气模式比对项目(AMIP)试验中也存在干偏,这意味着其他因素的存在。PW与降雨特征之间的关系表明,降雨发生在水汽水平低于观测值时,特别是在具有相对较强干偏的模式中。这表明降雨特征的重现性可能与干燥偏倚有关。
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来源期刊
Journal of the Meteorological Society of Japan
Journal of the Meteorological Society of Japan 地学-气象与大气科学
CiteScore
6.70
自引率
16.10%
发文量
56
审稿时长
3 months
期刊介绍: JMSJ publishes Articles and Notes and Correspondence that report novel scientific discoveries or technical developments that advance understanding in meteorology and related sciences. The journal’s broad scope includes meteorological observations, modeling, data assimilation, analyses, global and regional climate research, satellite remote sensing, chemistry and transport, and dynamic meteorology including geophysical fluid dynamics. In particular, JMSJ welcomes papers related to Asian monsoons, climate and mesoscale models, and numerical weather forecasts. Insightful and well-structured original Review Articles that describe the advances and challenges in meteorology and related sciences are also welcome.
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