气候变化领域集成服务门户(CCPortal): Spatiotemporal variability of tropical cyclone precipitation using a high-resolution; gridded (0.25° 3 0.25°) dataset for the Eastern United States; 1948-2015

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DOI	10.1175/JCLI-D-18-0885.1
	Spatiotemporal variability of tropical cyclone precipitation using a high-resolution; gridded (0.25° 3 0.25°) dataset for the Eastern United States; 1948-2015
	Bregy J.C.; Maxwell J.T.; Robeson S.M.; Ortegren J.T.; Soulé P.T.; Knapp P.A.
发表日期	2020
ISSN	0894-8755
起始页码	1803
结束页码	1819
卷号	33 期号:5
英文摘要	Tropical cyclones (TCs) are an important source of precipitation for much of the eastern United States. However, our understanding of the spatiotemporal variability of tropical cyclone precipitation (TCP) and the connections to large-scale atmospheric circulation is limited by irregularly distributed rain gauges and short records of satellite measurements. To address this, we developed a new gridded (0.258 3 0.258) publicly available dataset of TCP (1948-2015; Tropical Cyclone Precipitation Dataset, or TCPDat) using TC tracks to identify TCP within an existing gridded precipitation dataset. TCPDat was used to characterize total June-November TCP and percentage contribution to total June-November precipitation. TCP totals and contributions had maxima on the Louisiana, North Carolina, and Texas coasts, substantially decreasing farther inland at rates of approximately 6.2-6.7mmkm21. Few statistically significant trends were discovered in either TCP totals or percentage contribution. TCP is positively related to an index of the position and strength of the western flank of the North Atlantic subtropical high (NASH), with the strongest correlations concentrated in the southeastern United States. Weaker inverse correlations between TCP and El Niño-Southern Oscillation are seen throughout the study site. Ultimately, spatial variations of TCP are more closely linked to variations in the NASH flank position or strength than to the ENSO index. The TCP dataset developed in this study is an important step in understanding hurricane- climate interactions and the impacts of TCs on communities, water resources, and ecosystems in the eastern United States. © 2020 American Meteorological Society.
英文关键词	Atmospheric pressure; Climatology; Rain; Rain gages; Storms; Transmission control protocol; Tropics; Water resources; Atmospheric circulation; High resolution; Inverse correlation; Satellite measurements; Southern oscillation; Spatial variations; Spatiotemporal variability; Tropical cyclone; Hurricanes; atmospheric circulation; atmospheric dynamics; coastal zone; correlation; data set; El Nino-Southern Oscillation; hurricane; precipitation (climatology); spatiotemporal analysis; tropical cyclone; Louisiana; North Carolina; Texas; United States
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/171425
作者单位	Department of Geography, Indiana University, Bloomington, IN, United States; Department of Earth and Atmospheric Sciences, Indiana University, Bloomington, IN, United States; Department of Earth and Environmental Sciences, University of West Florida, Pensacola, FL, United States; Department of Geography and Planning, Appalachian State University, Boone, NC, United States; Department of Geography Environment and Sustainability, University of North Carolina at Greensboro, Greensboro, NC, United States
推荐引用方式 GB/T 7714	Bregy J.C.,Maxwell J.T.,Robeson S.M.,et al. Spatiotemporal variability of tropical cyclone precipitation using a high-resolution; gridded (0.25° 3 0.25°) dataset for the Eastern United States; 1948-2015[J],2020,33(5).
APA	Bregy J.C.,Maxwell J.T.,Robeson S.M.,Ortegren J.T.,Soulé P.T.,&Knapp P.A..(2020).Spatiotemporal variability of tropical cyclone precipitation using a high-resolution; gridded (0.25° 3 0.25°) dataset for the Eastern United States; 1948-2015.Journal of Climate,33(5).
MLA	Bregy J.C.,et al."Spatiotemporal variability of tropical cyclone precipitation using a high-resolution; gridded (0.25° 3 0.25°) dataset for the Eastern United States; 1948-2015".Journal of Climate 33.5(2020).