scholarly journals Using Teleconnections to Predict Wildfires in Mississippi

2008 ◽  
Vol 136 (7) ◽  
pp. 2804-2811 ◽  
Author(s):  
P. Grady Dixon ◽  
Gregory B. Goodrich ◽  
William H. Cooke
Keyword(s):  
United States ◽  
North Atlantic ◽  
Southern Oscillation ◽  
Southeastern United States ◽  
Fire Risk ◽  
The United States ◽  
Risk Models ◽  
Wildfire Occurrence ◽  
Atmospheric Teleconnections ◽  
Fire Risk Models

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.

scholarly journals North Atlantic Tropical Cyclones and U.S. Flooding

2014 ◽  
Vol 95 (9) ◽  
pp. 1381-1388 ◽  
Author(s):  
Gabriele Villarini ◽  
Radoslaw Goska ◽  
James A. Smith ◽  
Gabriel A. Vecchi
Keyword(s):  
United States ◽  
South Carolina ◽  
Tropical Cyclones ◽  
North Atlantic ◽  
Large Scale ◽  
Southern Oscillation ◽  
The United States ◽  
Climate Indices ◽  
Discharge Data ◽  
Flood Peaks

Riverine flooding associated with North Atlantic tropical cyclones (TCs) is responsible for large societal and economic impacts. The effects of TC flooding are not limited to the coastal regions, but affect large areas away from the coast, and often away from the center of the storm. Despite these important repercussions, inland TC flooding has received relatively little attention in the scientific literature, although there has been growing media attention following Hurricanes Irene (2011) and Sandy (2012). Based on discharge data from 1981 to 2011, the authors provide a climatological view of inland flooding associated with TCs, leveraging the wealth of discharge measurements collected, archived, and disseminated by the U.S. Geological Survey (USGS). Florida and the eastern seaboard of the United States (from South Carolina to Maine and Vermont) are the areas that are the most susceptible to TC flooding, with typical TC flood peaks that are 2 to 6 times larger than the local 10-yr flood peak, causing major flooding. A secondary swath of extensive TC-induced flooding in the central United States is also identified. These results indicate that flooding from TCs is not solely a coastal phenomenon but affects much larger areas of the United States, as far inland as Illinois, Wisconsin, and Michigan. Moreover, the authors highlight the dependence of the frequency and magnitude of TC flood peaks on large-scale climate indices, and the role played by the North Atlantic Oscillation and the El Niño–Southern Oscillation phenomenon (ENSO), suggesting potential sources of extended-range predictability.

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