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DOI | 10.1002/2017JD027200 |
CAUSES: Diagnosis of the Summertime Warm Bias in CMIP5 Climate Models at the ARM Southern Great Plains Site | |
Zhang, Chengzhu1; Xie, Shaocheng1; Klein, Stephen A.1; Ma, Hsi-yen1; Tang, Shuaiqi1; Van Weverberg, Kwinten2; Morcrette, Cyril J.2; Petch, Jon2 | |
2018-03-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:6页码:2968-2992 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; England |
英文摘要 | All the weather and climate models participating in the Clouds Above the United States and Errors at the Surface project show a summertime surface air temperature (T2m) warm bias in the region of the central United States. To understand the warm bias in long-term climate simulations, we assess the Atmospheric Model Intercomparison Project simulations from the Coupled Model Intercomparison Project Phase 5, with long-term observations mainly from the Atmospheric Radiation Measurement program Southern Great Plains site. Quantities related to the surface energy and water budget, and large-scale circulation are analyzed to identify possible factors and plausible links involved in the warm bias. The systematic warm season bias is characterized by an overestimation of T2m and underestimation of surface humidity, precipitation, and precipitable water. Accompanying the warm bias is an overestimation of absorbed solar radiation at the surface, which is due to a combination of insufficient cloud reflection and clear-sky shortwave absorption by water vapor and an underestimation in surface albedo. The bias in cloud is shown to contribute most to the radiation bias. The surface layer soil moisture impacts T2m through its control on evaporative fraction. The error in evaporative fraction is another important contributor to T2m. Similar sources of error are found in hindcast from other Clouds Above the United States and Errors at the Surface studies. In Atmospheric Model Intercomparison Project simulations, biases in meridional wind velocity associated with the low-level jet and the 500hPa vertical velocity may also relate to T2m bias through their control on the surface energy and water budget. |
英文关键词 | surface temperature bias CAUSES ARM SGP CMIP5 systematic error |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000430108900002 |
WOS关键词 | EARTH SYSTEM MODEL ; CONSTRAINED VARIATIONAL ANALYSIS ; LAND-SURFACE ALBEDO ; BASIC EVALUATION ; BOUNDARY-LAYER ; COUPLED MODEL ; FORCING DATA ; PART I ; ATMOSPHERE ; RADIATION |
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/32977 |
专题 | 气候变化 |
作者单位 | 1.Lawrence Livermore Natl Lab, Livermore, CA 94550 USA; 2.Met Off, Exeter, Devon, England |
推荐引用方式 GB/T 7714 | Zhang, Chengzhu,Xie, Shaocheng,Klein, Stephen A.,et al. CAUSES: Diagnosis of the Summertime Warm Bias in CMIP5 Climate Models at the ARM Southern Great Plains Site[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(6):2968-2992. |
APA | Zhang, Chengzhu.,Xie, Shaocheng.,Klein, Stephen A..,Ma, Hsi-yen.,Tang, Shuaiqi.,...&Petch, Jon.(2018).CAUSES: Diagnosis of the Summertime Warm Bias in CMIP5 Climate Models at the ARM Southern Great Plains Site.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(6),2968-2992. |
MLA | Zhang, Chengzhu,et al."CAUSES: Diagnosis of the Summertime Warm Bias in CMIP5 Climate Models at the ARM Southern Great Plains Site".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.6(2018):2968-2992. |
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