Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3354/cr01221 |
Seasonal and regional biases in CMIP5 precipitation simulations | |
Liu, Zhu1; Mehran, Ali1; Phillips, Thomas J.2; AghaKouchak, Amir1 | |
通讯作者 | AghaKouchak, Amir |
来源期刊 | CLIMATE RESEARCH
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ISSN | 0936-577X |
EISSN | 1616-1572 |
出版年 | 2014 |
卷号 | 60期号:1页码:35-50 |
英文摘要 | This study provides insight into how CMIP5 climate models perform in simulating summer and winter precipitation at different geographical locations and climate conditions. Precipitation biases in the CMIP5 historical (1901 to 2005) simulations relative to the Climatic Research Unit (CRU) observations are evaluated over 8 regions exhibiting distinct seasonal hydroclimates: moist tropical (Amazonia and central Africa), monsoonal (southern China), moist continental (central Europe), semi-arid (western United States and eastern Australia), and polar (Siberia and Canada). While the bias and monthly quantile bias (MQB) reflect no substantial differences in CMIP5 summer and winter precipitation simulations at the global scale, strong seasonality and high inter-model variability are found over the selected moist tropical regions (i.e. Amazonia and central Africa). In the semi-arid regions, high inter-model precipitation variability is also displayed, especially in summer, while the median of simulations is an overestimate of both winter and summer precipitation. In Siberia and central Europe, most CMIP5 models underestimate summer precipitation, and overestimate it in winter. Also, the MQB values decrease as the choice of quantile thresholds increase, implying that the underestimation of summer precipitation is primarily associated with biases in lower quantiles of the precipitation distribution. While the CMIP5 models exhibit similar behaviors in simulating high-latitude winter precipitation, they differ substantially in summer simulations for the selected Canadian and Siberian regions. Finally, in the monsoonal southern China region, CMIP5 models exhibit large overall precipitation biases in both summer and winter, as well as at higher quantiles. |
英文关键词 | Precipitation Climate CMIP5 |
类型 | Article |
语种 | 英语 |
国家 | USA |
收录类别 | SCI-E |
WOS记录号 | WOS:000337053900004 |
WOS关键词 | CLIMATE MODELS ; EXTREMES ; TEMPERATURE ; ENSEMBLE ; VARIABILITY ; RESOLUTION ; INDEXES ; EVENTS ; EXPECT ; GRIDS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/181420 |
作者单位 | 1.Univ Calif Irvine, Irvine, CA 92697 USA; 2.Lawrence Livermore Natl Lab, Livermore, CA 94550 USA |
推荐引用方式 GB/T 7714 | Liu, Zhu,Mehran, Ali,Phillips, Thomas J.,et al. Seasonal and regional biases in CMIP5 precipitation simulations[J],2014,60(1):35-50. |
APA | Liu, Zhu,Mehran, Ali,Phillips, Thomas J.,&AghaKouchak, Amir.(2014).Seasonal and regional biases in CMIP5 precipitation simulations.CLIMATE RESEARCH,60(1),35-50. |
MLA | Liu, Zhu,et al."Seasonal and regional biases in CMIP5 precipitation simulations".CLIMATE RESEARCH 60.1(2014):35-50. |
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