气候变化领域集成服务门户(CCPortal): An evaluation of the consistency of extremes in gridded precipitation data sets

CCPortal

DOI	10.1007/s00382-018-4537-0
	An evaluation of the consistency of extremes in gridded precipitation data sets
	Timmermans B.; Wehner M.; Cooley D.; O’Brien T.; Krishnan H.
发表日期	2019
ISSN	0930-7575
起始页码	6651
结束页码	6670
卷号	52 期号:11
英文摘要	Noting a strong imperative to understand precipitation extremes, and that considerable uncertainty affects observational data sets, this paper compares the representation of extremes in a number of widely used daily gridded products, derived from rain gauge data, satellite retrieval and reanalysis for the conterminous United States. Analysis is based upon the concept of “tail dependence” arising in multivariate extreme value theory, and we infer the level of temporal dependence in the joint tail of the precipitation probability distribution for pairwise comparisons of products. In this way, we consider the range of products more like an ensemble and examine the relationships between members, and do not attempt to define, or compare products to, some ground truth. Linear correlation between products is also computed. Considerable discrepancy between groups of products, both annually and seasonally, is linked to source data and complex terrain. In particular, products based on rain gauge data showed remarkable similarity, but differed considerably, showing almost total loss of extremal dependence during DJF in mountainous regions, when compared with satellite products. Additionally, simulated re-forecasts revealed reasonable temporal agreement with large scale generated extremes. The diversity and extent of discrepancies identified across all products raises important questions about their use, and we urge caution, particularly for products derived from satellite data. © 2019, Regents of the University of California.
英文关键词	Comparison; Extreme value theory; Extremes; Gridded products; Precipitation; Tail dependence
语种	英语
scopus关键词	comparative study; data set; extreme event; precipitation assessment; raingauge; satellite data; United States
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/146228
作者单位	Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, United States
推荐引用方式 GB/T 7714	Timmermans B.,Wehner M.,Cooley D.,et al. An evaluation of the consistency of extremes in gridded precipitation data sets[J],2019,52(11).
APA	Timmermans B.,Wehner M.,Cooley D.,O’Brien T.,&Krishnan H..(2019).An evaluation of the consistency of extremes in gridded precipitation data sets.Climate Dynamics,52(11).
MLA	Timmermans B.,et al."An evaluation of the consistency of extremes in gridded precipitation data sets".Climate Dynamics 52.11(2019).