DOI: 10.1175/JCLI-D-18-0019.1
Scopus记录号: 2-s2.0-85053046557
论文题名: Characterizing the spatial scales of extreme daily precipitation in the United States
作者: Touma D. ; Michalak A.M. ; Swain D.L. ; Diffenbaugh N.S.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 19 起始页码: 8023
结束页码: 8037
语种: 英语
英文关键词: Extreme events
; North America
; Precipitation
Scopus关键词: Floods
; Precipitation (chemical)
; Uncertainty analysis
; Atmospheric process
; Daily precipitations
; Extreme events
; Extreme precipitation
; Extreme precipitation events
; Global historical climatology network
; Interpolated precipitation
; North America
; Precipitation (meteorology)
英文摘要: The spatial extent of an extreme precipitation event can be important for a basin's hydrologic response and subsequent flood risk, and may yield insights into underlying atmospheric processes. Using a relaxed moving-neighborhood approach, we develop indicator semivariograms based on precipitation records from the Global Historical Climatology Network-Daily (GHCN-D) station network to directly quantify the climatological length scales of extreme daily precipitation over the United States during 1965-2014. We find that the length scales of extreme (90th percentile) daily precipitation events vary both regionally and seasonally. Over the eastern half of the United States, daily extreme precipitation length scales reach 400 km during the winter months, but are approximately half as large during the summer months. The Northwest region, on the other hand, exhibits little seasonal variation, with extreme precipitation length scales of approximately 150 km throughout the year. By leveraging in situ station measurements, our study avoids some of the uncertainties associated with satellite or interpolated precipitation data, and provides the longest climatological assessment of length scales of extreme daily precipitation over the United States to date. Although the length scales that we calculate can be sensitive to station density, neighborhood size, and neighborhood relaxation, we find that the interregional and interseasonal differences in length scales are relatively robust. Our method could be extended to quantify changes in the spatial extent of extreme daily precipitation in the recent past, and to investigate the underlying causes of any changes that are detected. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110660
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Department of Earth System Science, Stanford University, Stanford, CA, United States; Department of Global Ecology, Carnegie Institution for Science, Stanford, CA, United States; Institute of the Environment and Sustainability, University of California, Los Angeles, Los Angeles, CA, United States; The Nature Conservancy, Arlington, VA, United States; Department of Earth System Science, Woods Institute for the Environment, Stanford University, Stanford, CA, United States
Recommended Citation:
Touma D.,Michalak A.M.,Swain D.L.,et al. Characterizing the spatial scales of extreme daily precipitation in the United States[J]. Journal of Climate,2018-01-01,31(19)