Near-real time mapping of Keetch-Byram drought index in the south-eastern United States

2002 ◽  
Vol 11 (4) ◽  
pp. 281 ◽  
Author(s):  
Michael J. Janis ◽  
Michael B. Johnson ◽  
Gloria Forthun
Keyword(s):  
United States ◽  
Drought Index ◽  
Maximum Temperature ◽  
Daily Maximum Temperature ◽  
Mean Annual Precipitation ◽  
Eastern United States ◽  
The South ◽  
South Eastern ◽  
Input Parameters ◽  
Weather Stations

High spatial resolution maps of daily Keetch-Byram Drought Index (KBDI) are constructed for the south-eastern United States. KBDI is a cumulative algorithm for estimating fire potential from meteorological information, including daily maximum temperature, daily total precipitation, and mean annual precipitation. With few input parameters, the KBDI is attractive for providing estimates of fire potential at a large number of locations. The Southeast Regional Climate Center (SERCC) applies the original algorithms over daily time steps to maximize the response time in the event of rapidly increasing fire potential. Algorithms are applied to a network of 261 weather stations across the south-eastern United States to provide regional contour maps of KBDI as well as maps of week-to-week KBDI difference. Though uniformity and spatial density of weather stations and the consistency of input parameters are potential hurdles, it is shown that careful compilation of meteorological databases makes KBDI a tractable and valuable monitoring tool for automated fire-potential monitoring.

A new genus and species of lungless salamander (family Plethodontidae) from the Appalachian highlands of the south-eastern United States

2009 ◽  
Vol 279 (1) ◽  
pp. 86-94 ◽  
Author(s):  
C. D. Camp ◽  
W. E. Peterman ◽  
J. R. Milanovich ◽  
T. Lamb ◽  
J. C. Maerz ◽  
...  
Keyword(s):  
United States ◽  
New Genus ◽  
Eastern United States ◽  
New Genus And Species ◽  
The South ◽  
South Eastern

scholarly journals Relations between Temperature and Residential Natural Gas Consumption in the Central and Eastern United States

2007 ◽  
Vol 46 (11) ◽  
pp. 1993-2013 ◽  
Author(s):  
Reed P. Timmer ◽  
Peter J. Lamb
Keyword(s):  
United States ◽  
Natural Gas ◽  
Time Scales ◽  
The United States ◽  
Maximum Temperature ◽  
Daily Maximum Temperature ◽  
Daily Maximum ◽  
The South ◽  
Northern Regions ◽  
Gas Consumption

Abstract The increased U.S. natural gas price volatility since the mid-to-late-1980s deregulation generally is attributed to the deregulated market being more sensitive to temperature-related residential demand. This study therefore quantifies relations between winter (November–February; December–February) temperature and residential gas consumption for the United States east of the Rocky Mountains for 1989–2000, by region and on monthly and seasonal time scales. State-level monthly gas consumption data are aggregated for nine multistate subregions of three Petroleum Administration for Defense Districts of the U.S. Department of Energy. Two temperature indices [days below percentile (DBP) and heating degree-days (HDD)] are developed using the Richman–Lamb fine-resolution (∼1° latitude–longitude) set of daily maximum and minimum temperatures for 1949–2000. Temperature parameters/values that maximize DBP/HDD correlations with gas consumption are identified. Maximum DBP and HDD correlations with gas consumption consistently are largest in the Great Lakes–Ohio Valley region on both monthly (from +0.89 to +0.91) and seasonal (from +0.93 to +0.97) time scales, for which they are based on daily maximum temperature. Such correlations are markedly lower on both time scales (from +0.62 to +0.80) in New England, where gas is less important than heating oil, and on the monthly scale (from +0.55 to +0.75) across the South because of low January correlations. For the South, maximum correlations are for daily DBP and HDD indices based on mean or minimum temperature. The percentiles having the highest DBP index correlations with gas consumption are slightly higher for northern regions than across the South. This is because lower (higher) relative (absolute) temperature thresholds are reached in warmer regions before home heating occurs. However, these optimum percentiles for all regions are bordered broadly by surrounding percentiles for which the correlations are almost as high as the maximum. This consistency establishes the robustness of the temperature–gas consumption relations obtained. The reference temperatures giving the highest HDD correlations with gas consumption are lower for the colder northern regions than farther south where the temperature range is truncated. However, all HDD reference temperatures greater than +10°C (+15°C) yield similar such correlations for northern (southern) regions, further confirming the robustness of the findings. This robustness, coupled with the very high correlation magnitudes obtained, suggests that potentially strong gas consumption predictability would follow from accurate seasonal temperature forecasts.

WEATHER LORE FROM THE SOUTH-EASTERN UNITED STATES

Weather ◽  
1963 ◽  
Vol 18 (3) ◽  
pp. 77-77
Author(s):  
A. L. Pickens
Keyword(s):  
United States ◽  
Eastern United States ◽  
The South ◽  
South Eastern

scholarly journals Cotton thrips infestation predictor: a practical tool for predicting tobacco thrips ( Frankliniella fusca ) infestation of cotton seedlings in the south‐eastern United States

2020 ◽  
Vol 76 (12) ◽  
pp. 4018-4028 ◽  
Author(s):  
Thomas M Chappell ◽  
Rebecca V Ward ◽  
Kelley T DePolt ◽  
Phillip M Roberts ◽  
Jeremy K Greene ◽  
...  
Keyword(s):  
United States ◽  
Eastern United States ◽  
The South ◽  
South Eastern ◽  
Frankliniella Fusca ◽  
Tobacco Thrips ◽  
Practical Tool

Public attitudes and risk perception toward land application of biosolids within the south-eastern United States

2012 ◽  
Vol 98 ◽  
pp. 29-36 ◽  
Author(s):  
Kevin G. Robinson ◽  
Carolyn H. Robinson ◽  
Lauren A. Raup ◽  
Travis R. Markum
Keyword(s):  
United States ◽  
Risk Perception ◽  
Public Attitudes ◽  
Land Application ◽  
Eastern United States ◽  
The South ◽  
South Eastern
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