Records |
Author  |
Selman, C.; Misra, V. |
Title |
The sensitivity of southeastern United States climate to varying irrigation vigor |
Type |
$loc['typeJournal Article'] |
Year |
2016 |
Publication |
Journal of Geophysical Research: Atmospheres |
Abbreviated Journal |
J. Geophys. Res. Atmos. |
Volume |
121 |
Issue |
13 |
Pages |
7606-7621 |
Keywords |
irrigation; climate; regional modeling; model; vigor; anthropogenic |
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Edition |
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ISSN |
2169897X |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
50 |
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Author  |
Selman, C.; Misra, V. |
Title |
Simulating diurnal variations over the southeastern United States |
Type |
$loc['typeJournal Article'] |
Year |
2015 |
Publication |
Journal of Geophysical Research: Atmospheres |
Abbreviated Journal |
J. Geophys. Res. Atmos. |
Volume |
120 |
Issue |
1 |
Pages |
180-198 |
Keywords |
diurnal variations; southeast; precipitation; temperature; downscaling; regional climate modeling |
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ISSN |
2169897X |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
120 |
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Author  |
Selman, C.; Misra, V.; Stefanova, L.; Dinapoli, S.; Smith III, T.J. |
Title |
On the twenty-first-century wet season projections over the Southeastern United States |
Type |
$loc['typeJournal Article'] |
Year |
2013 |
Publication |
Regional Environmental Change |
Abbreviated Journal |
Reg Environ Change |
Volume |
13 |
Issue |
S1 |
Pages |
153-164 |
Keywords |
Regional climate change; Southeast United States; Rainfall variability; Regional climate model; Global climate model; Precipitation variability |
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Series Issue |
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Edition |
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ISSN |
1436-3798 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
192 |
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Author  |
Smith, R. A. |
Title |
Trends in Maximum and Minimum Temperature Deciles in Select Regions of the United States |
Type |
$loc['typeManuscript'] |
Year |
2007 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
Long term temperature trends, Climate change, Statistical analysis, Climatology |
Abstract |
Daily maximum and minimum temperature data from 758 COOP stations in nineteen states are used to create temperature decile maps. All stations used contain records from 1948 through 2004 and could not be missing more than 5 consecutive years of data. Missing data are replaced using a multiple linear regression technique from surrounding stations. For each station, the maximum and minimum temperatures are first sorted in ascending order for every two years (to reduce annual variability) and divided into ten equal parts (or deciles). The first decile represents the coldest temperatures, and the last decile contains the warmest temperatures. Patterns and trends in these deciles can be examined for the 57-year period. A linear least-squares regression method is used to calculate best-fit lines for each decile to determine the long-term trends at each station. Significant warming or cooling is determined using the Student's t-test, and bootstrapping the decile data will further examine the validity of significance. Two stations are closely examined. Apalachicola, Florida shows significant warming in its maximum deciles and significant cooling in its minimum deciles. The maximum deciles seem to be affected by some localized change. The minimum deciles are discontinuous, and the trends are a result of a minor station move. Columbus, Georgia has experienced significant warming in its minimum deciles, and this appears to be the result of an urban heat-island effect. The discontinuities seen in the Apalachicola case study illustrate the need for a quality control method. This method will eliminate stations from the regional analysis that experience large changes in the ten-year standard deviations within their time series. The regional analysis shows that most of the region is dominated by significant cooling in the maximum deciles and significant warming in the minimum deciles, with more variability in the lower deciles. Field significance testing is performed on subregions (based on USGS 2000 land cover data) and supports the findings from the regional analysis; it also isolates regions, such as the Florida peninsula and the Maryland/Delaware region, that appear to be affected by more local forcings. |
Address |
Department of Meteorology |
Corporate Author |
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Thesis |
$loc['Master's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
612 |
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Author  |
Solís, D.; Letson, D. |
Title |
Assessing the value of climate information and forecasts for the agricultural sector in the Southeastern United States: multi-output stochastic frontier approach |
Type |
$loc['typeJournal Article'] |
Year |
2013 |
Publication |
Regional Environmental Change |
Abbreviated Journal |
Reg Environ Change |
Volume |
13 |
Issue |
S1 |
Pages |
5-14 |
Keywords |
US Agriculture; Climate bias; Value of information; Production frontier |
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ISSN |
1436-3798 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
267 |
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Author  |
Stefanova, L.; Misra, V.; Chan, S.; Griffin, M.; O'Brien, J.J.; Smith III, T.J. |
Title |
A proxy for high-resolution regional reanalysis for the Southeast United States: assessment of precipitation variability in dynamically downscaled reanalyses |
Type |
$loc['typeJournal Article'] |
Year |
2012 |
Publication |
Climate Dynamics |
Abbreviated Journal |
Clim Dyn |
Volume |
38 |
Issue |
11-12 |
Pages |
2449-2466 |
Keywords |
Southeast US; Precipitation; Hydroclimate; Diurnal variability; Seasonal variability; Dynamical downscaling; Reanalysis |
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ISSN |
0930-7575 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
262 |
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Author  |
Strazzo, S |
Title |
Low-Frequency Minimum Temperature Variability Throughout the Southeastern United States during the 1970s: Regime Shift or Phase Coincidence? |
Type |
$loc['typeManuscript'] |
Year |
2011 |
Publication |
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Issue |
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Pages |
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Keywords |
Low-frequency variability; Climate variability; Climate regime |
Abstract |
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Address |
Department of Earth Ocean and Atmospheric Science |
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Thesis |
$loc['Master's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
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COAPS @ mfield @ |
Serial |
336 |
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Author  |
Strazzo, S.E.; Elsner, J.B.; LaRow, T.E.; Murakami, H.; Wehner, M.; Zhao, M. |
Title |
The influence of model resolution on the simulated sensitivity of North Atlantic tropical cyclone maximum intensity to sea surface temperature |
Type |
$loc['typeJournal Article'] |
Year |
2016 |
Publication |
Journal of Advances in Modeling Earth Systems |
Abbreviated Journal |
J. Adv. Model. Earth Syst. |
Volume |
8 |
Issue |
3 |
Pages |
1037-1054 |
Keywords |
tropical cyclones; climate models |
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1942-2466 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
89 |
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Author  |
Sura, P. |
Title |
A general perspective of extreme events in weather and climate |
Type |
$loc['typeJournal Article'] |
Year |
2011 |
Publication |
Atmospheric Research |
Abbreviated Journal |
Atmospheric Research |
Volume |
101 |
Issue |
1-2 |
Pages |
1-21 |
Keywords |
Weather and climate extremes; Stochastic modeling; Weather and climate statistics |
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0169-8095 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
302 |
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Author  |
Sura, P.; Hannachi, A. |
Title |
Perspectives of Non-Gaussianity in Atmospheric Synoptic and Low-Frequency Variability |
Type |
$loc['typeJournal Article'] |
Year |
2015 |
Publication |
Journal of Climate |
Abbreviated Journal |
J. Climate |
Volume |
28 |
Issue |
13 |
Pages |
5091-5114 |
Keywords |
Atmospheric circulation; Nonlinear dynamics; Statistics; Climate variability |
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0894-8755 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
114 |
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