A spatiotemporal analysis of tropical cyclone tracks in the Atlantic Basin and their relationship to El Nino-Southern Oscillation

被引:0
作者
Frick, Cody [1 ]
Hawkins, Timothy W. [1 ]
机构
[1] Shippensburg Univ, Dept Geog & Earth Sci, Shippensburg, PA 17257 USA
关键词
cyclone track; tropical climatology; Tropical cyclone; Atlantic cyclone; El Nino; QUASI-BIENNIAL OSCILLATION; INTERANNUAL VARIABILITY; HURRICANE TRACKS; CLIMATOLOGY; MODULATION; TRENDS; MODEL;
D O I
10.1080/02723646.2016.1149361
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
There has been an enhanced focus on Atlantic tropical cyclone climatologies with the significant cyclones of the past decade and the associated loss of life and property. This study examines the geographic location of cyclone tracks and their relationship to El Nino-Southern Oscillation (ENSO). The average annual cyclone track latitude and longitude correlate positively with hurricane-season El Nino indices, indicating that during El Nino conditions, tropical cyclone tracks are shifted northward and eastward. June-November indices explain 11-22% and 3-11% of the variance in cyclone track latitude and longitude, respectively. Examination of the strongest and weakest El Nino years yields similar results. Higher sea level pressure over North America, a slight contraction of the Bermuda High, and a slight decrease in 500 mb heights during El Nino years helps to explain the observed northward and eastward movement of tropical cyclone tracks during El Nino years. Additionally, weaker easterly and stronger southerly winds on the western side of the North Atlantic Basin exist during El Nino years. Although future tropical cyclone track projection is beyond the scope of this research, these results may provide insight into forecast improvement and ultimately better responses for coastal communities.
引用
收藏
页码:26 / 37
页数:12
相关论文
共 38 条
[1]  
Camargo SJ, 2010, GLOBAL PERSPECTIVES, V4, P325, DOI DOI 10.1142/WSSAPWC
[2]  
Climate Prediction Center, 2015, TEL
[3]   Climatological Variations in North Atlantic Tropical Cyclone Tracks [J].
Colbert, Angela J. ;
Soden, Brian J. .
JOURNAL OF CLIMATE, 2012, 25 (02) :657-673
[4]   A New Statistical Model for Predicting Seasonal North Atlantic Hurricane Activity [J].
Davis, Kyle ;
Zeng, Xubin ;
Ritchie, Elizabeth A. .
WEATHER AND FORECASTING, 2015, 30 (03) :730-741
[5]   Prediction models for annual US hurricane counts [J].
Elsner, James B. ;
Jagger, Thomas H. .
JOURNAL OF CLIMATE, 2006, 19 (12) :2935-2952
[6]   Spatial grids for hurricane climate research [J].
Elsner, James B. ;
Hodges, Robert E. ;
Jagger, Thomas H. .
CLIMATE DYNAMICS, 2012, 39 (1-2) :21-36
[7]  
Elsner JB, 2003, B AM METEOROL SOC, V84, P556
[8]   Hurricanes and global warming - Results from downscaling IPCC AR4 simulations [J].
Emanuel, Kerry ;
Sundararajan, Ragoth ;
Williams, John .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2008, 89 (03) :347-+
[9]   Toward Improving High-Resolution Numerical Hurricane Forecasting: Influence of Model Horizontal Grid Resolution, Initialization, and Physics [J].
Gopalakrishnan, Sundararaman G. ;
Goldenberg, Stanley ;
Quirino, Thiago ;
Zhang, Xuejin ;
Marks, Frank, Jr. ;
Yeh, Kao-San ;
Atlas, Robert ;
Tallapragada, Vijay .
WEATHER AND FORECASTING, 2012, 27 (03) :647-666
[10]  
GRAY WM, 1984, MON WEATHER REV, V112, P1649, DOI 10.1175/1520-0493(1984)112<1649:ASHFPI>2.0.CO