气候变化领域集成服务门户(CCPortal): Evaluation of modeled precipitation in oceanic extratropical cyclones using IMERG

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DOI	10.1175/JCLI-D-19-0369.1
	Evaluation of modeled precipitation in oceanic extratropical cyclones using IMERG
	Naud C.M.; Jeyaratnam J.; Booth J.F.; Zhao M.; Gettelman A.
发表日期	2020
ISSN	0894-8755
起始页码	95
结束页码	113
卷号	33 期号:1
英文摘要	Using a high-spatial- and high-temporal-resolution precipitation dataset, IntegratedMulti-satellite Retrievals for GPM (IMERG), extratropical cyclone precipitation is evaluated in two reanalyses and two climate models. Based on cyclone-centered composites, all four models overestimate precipitation in the western subsiding and dry side of the cyclones, and underestimate the precipitation in the eastern ascending and moist side. By decomposing the composites into frequency of occurrence and intensity (mean precipitation rate when precipitating), the analysis reveals a tendency for all four models to overestimate frequency and underestimate intensity, with the former issue dominating in the western half and the latter in the eastern half of the cyclones. Differences in frequency are strongly dependent on cyclone environmental moisture, while the differences in intensity are strongly impacted by the strength of ascent within the cyclone. There are some uncertainties associated with the observations: IMERG might underreport frozen precipitation and possibly exaggerate rates in vigorously ascending regions. Nevertheless, the analysis suggests that all models produce extratropical cyclone precipitation too often and too lightly. These biases have consequences when evaluating the changes in precipitation characteristicswith changes in cyclone properties: themodels disagree on themagnitude of the change in precipitation intensity with a change in environmental moisture and in precipitation frequency with a change in cyclone strength. This complicates accurate predictions of precipitation changes in a changing climate. © 2019 American Meteorological Society.
英文关键词	Climate models; Moisture; Accurate prediction; Extratropical cyclones; High temporal resolution; Mean precipitation; Precipitation change; Precipitation frequency; Precipitation intensity; Satellite retrieval; Storms; atmospheric moisture; climate modeling; extratropical cyclone; performance assessment; precipitation assessment; resolution; satellite data
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/171548
作者单位	Applied Physics and Applied Mathematics, Columbia University, NASA, GISS, New York, NY, United States; Earth and Atmospheric Sciences, City University of New York, City College and the Graduate Center, New York, NY, United States; NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States; National Center for Atmospheric Research, Boulder, CO, United States
推荐引用方式 GB/T 7714	Naud C.M.,Jeyaratnam J.,Booth J.F.,et al. Evaluation of modeled precipitation in oceanic extratropical cyclones using IMERG[J],2020,33(1).
APA	Naud C.M.,Jeyaratnam J.,Booth J.F.,Zhao M.,&Gettelman A..(2020).Evaluation of modeled precipitation in oceanic extratropical cyclones using IMERG.Journal of Climate,33(1).
MLA	Naud C.M.,et al."Evaluation of modeled precipitation in oceanic extratropical cyclones using IMERG".Journal of Climate 33.1(2020).