GSTDTAP  > 气候变化
DOI10.1002/2017GL074011
Tracking precipitation events in time and space in gridded observational data
White, R. H.1,2; Battisti, D. S.2; Skok, G.3
2017-08-28
发表期刊GEOPHYSICAL RESEARCH LETTERS
ISSN0094-8276
EISSN1944-8007
出版年2017
卷号44期号:16
文章类型Article
语种英语
国家USA; Slovenia
英文摘要

Novel precipitation event data sets are created by tracking 3-hourly observed rainfall in both time and space in the TRMM 3B42 and ERA-Interim data sets. Relative to TRMM, ERA-Interim data undersimulate the total number of events (factor of approximate to 0.5), and oversimulate the frequency of events lasting >5days (factor of 1.6). Longer-lasting events tend to have larger spatial footprints and higher intensity precipitation at any point in their lifetime, and thus contribute significantly more to total precipitation than shorter events. Precipitation changes in selected tropical and subtropical regions are attributed to different event characteristics: some to changes in event rainfall intensity, others to changes in the number of events. In the 40 degrees S-40 degrees N spatial average, the number of events lasting 1-5 days significantly increased from 1998 to 2014 in both the TRMM 3B42 and ERA-Interim data. The event data sets, analysis scripts, and selected processed data are freely available online.


Plain Language Summary Personal experience tells us that rain occurs in individual events, yet when researchers study rainfall in observations and models we do not tend to focus on event characteristics. Our work aims to change this, by presenting an analysis of event characteristics for all rain events that happened between 40 degrees S and 40 degrees N from 1980 to 2015. We look at how long events last (as they move through space), the average spatial footprint, or size, of events, and how much rain fell in total in an event. We set the stage for future work studying how total event rainfall may change in future climates, which may be crucial for estimating changes to the likelihood of flooding.


英文关键词precipitation events event tracking TRMM 3B42 precipitation lifetime precipitation characteristics ERA-Interim
领域气候变化
收录类别SCI-E
WOS记录号WOS:000410658800063
WOS关键词OBJECT-BASED ANALYSIS ; TRMM ; RAINFALL ; PACIFIC ; SATELLITE ; CYCLE ; ASSIMILATION ; VERIFICATION ; TROPICS ; DRIVEN
WOS类目Geosciences, Multidisciplinary
WOS研究方向Geology
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/25512
专题气候变化
作者单位1.Univ Washington, JISAO, Seattle, WA 98195 USA;
2.Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA;
3.Univ Ljubljana, Fac Math & Phys, Ljubljana, Slovenia
推荐引用方式
GB/T 7714
White, R. H.,Battisti, D. S.,Skok, G.. Tracking precipitation events in time and space in gridded observational data[J]. GEOPHYSICAL RESEARCH LETTERS,2017,44(16).
APA White, R. H.,Battisti, D. S.,&Skok, G..(2017).Tracking precipitation events in time and space in gridded observational data.GEOPHYSICAL RESEARCH LETTERS,44(16).
MLA White, R. H.,et al."Tracking precipitation events in time and space in gridded observational data".GEOPHYSICAL RESEARCH LETTERS 44.16(2017).
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