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DOI | 10.1175/JCLI-D-17-0718.1 |
Precipitation and Moisture in Four Leading CMIP5 Models: Biases across Large-Scale Circulation Regimes and Their Attribution to Dynamic and Thermodynamic Factors | |
Yang, Mengmiao1,2; Zhang, Guang J.3,4; Sun, De-Zheng5 | |
2018-07-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:13页码:5089-5106 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | As key variables in general circulation models, precipitation and moisture in four leading models from CMIP5 (phase 5 of the Coupled Model Intercomparison Project) are analyzed, with a focus on four tropical oceanic regions. It is found that precipitation in these models is overestimated in most areas. However, moisture bias has large intermodel differences. The model biases in precipitation and moisture are further examined in conjunction with large-scale circulation by regime-sorting analysis. Results show that all models consistently overestimate the frequency of occurrence of strong upward motion regimes and peak descending regimes of 500-hPa vertical velocity JCLI-D-17-0718.1 regime, models produce too much precipitation compared to observation and reanalysis. But for moisture, their biases differ from model to model and also from level to level. Furthermore, error causes are revealed through decomposing contribution biases into dynamic and thermodynamic components. For precipitation, the contribution errors in strong upward motion regimes are attributed to the overly frequent . In the weak upward motion regime, the biases in the dependence of precipitation on probability density function (PDF) make comparable contributions, but often of opposite signs. On the other hand, the biases in column-integrated water vapor contribution are mainly due to errors in the frequency of occurrence of , while thermodynamic components contribute little. These findings suggest that errors in the frequency of occurrence are a significant cause of biases in the precipitation and moisture simulation. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000437827700008 |
WOS关键词 | NORTH-AMERICAN CLIMATE ; DOUBLE-ITCZ PROBLEM ; WATER-VAPOR ; ATMOSPHERIC CIRCULATION ; HISTORICAL SIMULATIONS ; TROPICAL OCEANS ; ENSO ASYMMETRY ; CONVECTION ; PARAMETERIZATION ; SENSITIVITY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/19403 |
专题 | 气候变化 |
作者单位 | 1.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing, Peoples R China; 2.Joint Ctr Global Change Studies, Beijing, Peoples R China; 3.Scripps Inst Oceanog, La Jolla, CA 92037 USA; 4.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China; 5.Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA |
推荐引用方式 GB/T 7714 | Yang, Mengmiao,Zhang, Guang J.,Sun, De-Zheng. Precipitation and Moisture in Four Leading CMIP5 Models: Biases across Large-Scale Circulation Regimes and Their Attribution to Dynamic and Thermodynamic Factors[J]. JOURNAL OF CLIMATE,2018,31(13):5089-5106. |
APA | Yang, Mengmiao,Zhang, Guang J.,&Sun, De-Zheng.(2018).Precipitation and Moisture in Four Leading CMIP5 Models: Biases across Large-Scale Circulation Regimes and Their Attribution to Dynamic and Thermodynamic Factors.JOURNAL OF CLIMATE,31(13),5089-5106. |
MLA | Yang, Mengmiao,et al."Precipitation and Moisture in Four Leading CMIP5 Models: Biases across Large-Scale Circulation Regimes and Their Attribution to Dynamic and Thermodynamic Factors".JOURNAL OF CLIMATE 31.13(2018):5089-5106. |
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