气候变化领域集成服务门户(CCPortal): Kenyan long rains: A subseasonal approach to process-based diagnostics

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DOI	10.1175/JCLI-D-19-0914.1
	Kenyan long rains: A subseasonal approach to process-based diagnostics
	Dyer E.; Washington R.
发表日期	2021
ISSN	08948755
起始页码	3311
结束页码	3326
卷号	34 期号:9
英文摘要	The interannual variability, trends, and the mean climatology of East African long rains are difficult for models to simulate. This is in part because long rains do not respond in a simple way to large-scale modes of variability such as ENSO and because of interactions with complex topography. Here we focus on the Kenyan regional climate in the ERA-Interim dataset during the long rains to create a set of atmospheric diagnostics that can be applied to the evaluation of climate models. Subseasonal observed rainfall and reanalysis reveal that very wet seasons and very dry seasons develop differently at the beginning of the season. Subseasonal aggregation periods (days 60-80, 80-100, 90-120, 120-150) highlight local (e.g., midtropospheric ascent, moisture flux convergence in the lower to midtroposphere, and midtropospheric moisture) and large-scale (e.g., midtropospheric zonal winds over central Africa, upper-tropospheric velocity potential) diagnostics that are useful to evaluate model atmospheric circulation affecting Kenyan rainfall in mean and wet or dry extremes. © 2021 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
英文关键词	Africa; Atmospheric circulation; Diagnostics; Rainfall; Seasonal variability; Troposphere
语种	英语
scopus关键词	Climate models; Climatology; Moisture; Topography; Atmospheric circulation; Central Africa; Complex topographies; Interannual variability; Midtroposphere; Moisture flux convergences; Regional climate; Velocity potentials; Rain
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/178623
作者单位	School of Geography and the Environment, University of Oxford, Oxford, United Kingdom
推荐引用方式 GB/T 7714	Dyer E.,Washington R.. Kenyan long rains: A subseasonal approach to process-based diagnostics[J],2021,34(9).
APA	Dyer E.,&Washington R..(2021).Kenyan long rains: A subseasonal approach to process-based diagnostics.Journal of Climate,34(9).
MLA	Dyer E.,et al."Kenyan long rains: A subseasonal approach to process-based diagnostics".Journal of Climate 34.9(2021).