Spatio-temporal trends in daily precipitation extremes and their connection with North Atlantic tropical cyclones for the southeastern United States

2018 ◽  
Vol 38 (10) ◽  
pp. 3822-3831 ◽  
Author(s):  
Nirajan Dhakal ◽  
Bhikhari Tharu
2013 ◽  
Vol 26 (21) ◽  
pp. 8440-8452 ◽  
Author(s):  
Justin T. Maxwell ◽  
Jason T. Ortegren ◽  
Paul A. Knapp ◽  
Peter T. Soulé

Abstract Precipitation from land-falling tropical cyclones (TCs) has a significant hydroclimatic influence in the southeastern United States, particularly during drought years. The frequency with which TCs ended drought conditions was examined for southeastern coastal states from Texas to North Carolina during 1895–2011. The region was divided into the Gulf Coast states (GCS) and the southeastern Atlantic coast states (ACS). The spatiotemporal patterns of tropical cyclone drought busters (TCDBs) were analyzed. Larger-scale ocean–atmosphere influences on TCDBs were examined using chi-squared analysis. The ACS experienced TCDBs more frequently and farther inland compared to the GCS. The number of TCDBs has significantly increased with time in the ACS. TCDBs numbers in the GCS did not exhibit significant increases, but the area alleviated of drought conditions increased significantly in the last 117 years. The dominant larger-scale ocean–atmosphere forcing of TCDBs was a combination of a warm Atlantic Ocean [positive Atlantic multidecadal oscillation index (AMO+)] and weak westerlies [negative North Atlantic Oscillation index (NAO−)]. AMO+ leads to an increase in the number of TCs throughout the North Atlantic basin, and NAO− increases the likelihood of TC landfall by controlling the steering of TCs toward the southeastern United States.


2015 ◽  
Vol 28 (4) ◽  
pp. 1592-1612 ◽  
Author(s):  
Emily J. Powell ◽  
Barry D. Keim

Abstract Spatial and temporal trends in temperature and precipitation extremes were investigated for the period 1948–2012 across the southeastern United States using 27 previously defined indices. Results show that regionwide warming in extreme minimum temperatures and cooling in extreme maximum temperatures occurred. The disproportionate changes in extreme daytime and nighttime temperatures are narrowing diurnal temperature ranges for most locations. The intensity and magnitude of extreme precipitation events increased overall, except for more easterly locations, particularly in South Carolina. These indices further show that warming in minimum temperatures has been pronounced most in summer and least in winter. Fall has become significantly wetter, while spring and summer have become drier, on average. Principal component analysis (PCA) was used to characterize a “geography of extremes” based on temperature and precipitation extreme indices. The PCA based on temperature indices revealed two coherent western and eastern subregions that share common modes of variability in extremes. Precipitation indices resulted in a greater number of smaller, spatially coherent groups exhibiting similar modes of variability. This classification regime illustrates important variations in extremes that exist on subregional scales. These findings have relevance for established climate research institutes, local governments, resource managers, and community planners interested in the variability of extreme events throughout the region.


2019 ◽  
Vol 53 (5-6) ◽  
pp. 2517-2538 ◽  
Author(s):  
Mark D. Risser ◽  
Christopher J. Paciorek ◽  
Michael F. Wehner ◽  
Travis A. O’Brien ◽  
William D. Collins

2008 ◽  
Vol 136 (7) ◽  
pp. 2804-2811 ◽  
Author(s):  
P. Grady Dixon ◽  
Gregory B. Goodrich ◽  
William H. Cooke

Abstract Previous wildfire research in the United States has been focused primarily on the western states. Much of this research has discovered relationships between wildfire variability and atmospheric teleconnections. Thus far, few published projects have addressed the effects of various teleconnections on wildfire in the southeastern United States. Index values for the El Niño–Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), Pacific decadal oscillation (PDO), and Pacific–North American (PNA) pattern are all tested for relationships with fire variables in the state of Mississippi. Each of the indices displays significant correlations with wildfire occurrence and/or size in Mississippi. The findings of this research suggest that it might be feasible to create predictive fire-risk models for the southeastern United States based on the combination of these teleconnection indices.


2006 ◽  
Vol 22 (2) ◽  
pp. 426-445 ◽  
Author(s):  
Cherie A. Keller ◽  
Leslie I. Ward-Geiger ◽  
William B. Brooks ◽  
Christopher K. Slay ◽  
Cynthia R. Taylor ◽  
...  

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