气候变化领域集成服务门户(CCPortal): The impact of sea surface temperature biases on North American precipitation in a high-resolution climate model

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DOI	10.1175/JCLI-D-19-0417.1
	The impact of sea surface temperature biases on North American precipitation in a high-resolution climate model
	Johnson N.C.; Krishnamurthy L.; Wittenberg A.T.; Xiang B.; Vecchi G.A.; Kapnick S.B.; Pascale S.
发表日期	2020
ISSN	0894-8755
起始页码	2427
结束页码	2447
卷号	33 期号:6
英文摘要	Positive precipitation biases over western North America have remained a pervasive problem in the current generation of coupled global climate models. These biases are substantially reduced, however, in a version of the Geophysical Fluid Dynamics Laboratory Forecast-Oriented Low Ocean Resolution (FLOR) coupled climate model with systematic sea surface temperature (SST) biases artificially corrected through flux adjustment. This study examines how the SST biases in the Atlantic and Pacific Oceans contribute to the North American precipitation biases. Experiments with the FLOR model in which SST biases are removed in the Atlantic and Pacific are carried out to determine the contribution of SST errors in each basin to precipitation statistics over North America. Tropical and North Pacific SST biases have a strong impact on northern North American precipitation, while tropical Atlantic SST biases have a dominant impact on precipitation biases in southern North America, including the western United States. Most notably, negative SST biases in the tropical Atlantic in boreal winter induce an anomalously strong Aleutian low and a southward bias in the North Pacific storm track. In boreal summer, the negative SST biases induce a strengthened North Atlantic subtropical high and Great Plains low-level jet. Each of these impacts contributes to positive annual mean precipitation biases over western North America. Both North Pacific and North Atlantic SST biases induce SST biases in remote basins through dynamical pathways, so a complete attribution of the effects of SST biases on precipitation must account for both the local and remote impacts. © 2020 American Meteorological Society.
英文关键词	Atmospheric movements; Atmospheric temperature; Climate models; Submarine geophysics; Surface properties; Surface waters; Tropics; Annual mean precipitation; Coupled climate model; Coupled global climate model; Current generation; Geophysical fluid dynamics laboratories; High resolution climate model; Sea surface temperature (SST); Western United States; Oceanography; air-sea interaction; climate modeling; global climate; precipitation (climatology); sea surface temperature; storm track; temperature effect; Atlantic Ocean; Pacific Ocean; United States
语种	英语
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/171404
作者单位	Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ, United States; National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; University Corporation for Atmospheric Research, Boulder, CO, United States; Princeton Environmental Institute, Princeton University, Princeton, NJ, United States; Department of Earth System Science, Stanford University, Stanford, CA, United States
推荐引用方式 GB/T 7714	Johnson N.C.,Krishnamurthy L.,Wittenberg A.T.,et al. The impact of sea surface temperature biases on North American precipitation in a high-resolution climate model[J],2020,33(6).
APA	Johnson N.C..,Krishnamurthy L..,Wittenberg A.T..,Xiang B..,Vecchi G.A..,...&Pascale S..(2020).The impact of sea surface temperature biases on North American precipitation in a high-resolution climate model.Journal of Climate,33(6).
MLA	Johnson N.C.,et al."The impact of sea surface temperature biases on North American precipitation in a high-resolution climate model".Journal of Climate 33.6(2020).