Works by Elsner, James B.
Results: 75
A dasymetric method to spatially apportion tornado casualty counts.
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- Journal of the Association for Information Systems, 2017, v. 18, n. 11, p. 1768, doi. 10.1080/19475705.2017.1386724
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- Article
The increasing intensity of the strongest tropical cyclones.
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- Nature, 2008, v. 455, n. 7209, p. 92, doi. 10.1038/nature07234
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- Article
Climatology: Tempests in time.
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- Nature, 2007, v. 447, n. 7145, p. 647, doi. 10.1038/447647a
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- Article
A spatial climatology of North Atlantic hurricane intensity change.
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- International Journal of Climatology, 2014, v. 34, n. 9, p. 2918, doi. 10.1002/joc.3884
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- Article
Evidence linking solar variability with US hurricanes.
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- International Journal of Climatology, 2011, v. 31, n. 13, p. 1897, doi. 10.1002/joc.2196
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- Article
Modeling tropical cyclone intensity with quantile regression.
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- International Journal of Climatology, 2009, v. 29, n. 10, p. 1351, doi. 10.1002/joc.1804
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- Article
A space-time model for seasonal hurricane prediction.
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- International Journal of Climatology, 2002, v. 22, n. 4, p. 451, doi. 10.1002/joc.755
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- Article
The contribution of super typhoons to tropical cyclone activity in response to ENSO.
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- Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-019-41561-y
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- Article
Influence of Global Warming on Western North Pacific Tropical Cyclone Intensities during 2015.
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- Journal of Climate, 2018, v. 31, n. 2, p. 919, doi. 10.1175/JCLI-D-17-0143.1
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Climate Mechanism for Stronger Typhoons in a Warmer World*.
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- Journal of Climate, 2016, v. 29, n. 3, p. 1051, doi. 10.1175/JCLI-D-15-0585.1
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Observed versus GCM-Generated Local Tropical Cyclone Frequency: Comparisons Using a Spatial Lattice.
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- Journal of Climate, 2013, v. 26, n. 21, p. 8257, doi. 10.1175/JCLI-D-12-00808.1
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Sensitivity of Limiting Hurricane Intensity to SST in the Atlantic from Observations and GCMs.
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- Journal of Climate, 2013, v. 26, n. 16, p. 5949, doi. 10.1175/JCLI-D-12-00433.1
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Consensus on Climate Trends in Western North Pacific Tropical Cyclones.
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- Journal of Climate, 2012, v. 25, n. 21, p. 7564, doi. 10.1175/JCLI-D-11-00735.1
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A Consensus Model for Seasonal Hurricane Prediction.
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- Journal of Climate, 2010, v. 23, n. 22, p. 6090, doi. 10.1175/2010JCLI3686.1
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Improving Multiseason Forecasts of North Atlantic Hurricane Activity.
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- Journal of Climate, 2008, v. 21, n. 6, p. 1209, doi. 10.1175/2007JCLI1731.1
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Climatology Models for Extreme Hurricane Winds near the United States.
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- Journal of Climate, 2006, v. 19, n. 13, p. 3220, doi. 10.1175/JCLI3913.1
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- Article
Prediction Models for Annual U.S. Hurricane Counts.
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- Journal of Climate, 2006, v. 19, n. 12, p. 2935, doi. 10.1175/JCLI3729.1
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- Article
Hurricane Clusters in the Vicinity of Florida.
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- Journal of Applied Meteorology & Climatology, 2012, v. 51, n. 5, p. 869, doi. 10.1175/JAMC-D-11-0107.1
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Estimating Contemporary and Future Wind-Damage Losses from Hurricanes Affecting Eglin Air Force Base, Florida.
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- Journal of Applied Meteorology & Climatology, 2011, v. 50, n. 7, p. 1514, doi. 10.1175/2011JAMC2658.1
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Risk of Strong Hurricane Winds to Florida Cities.
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- Journal of Applied Meteorology & Climatology, 2010, v. 49, n. 10, p. 2121, doi. 10.1175/2010JAMC2420.1
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Comparison of Hurricane Return Levels Using Historical and Geological Records.
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- Journal of Applied Meteorology & Climatology, 2008, v. 47, n. 2, p. 368, doi. 10.1175/2007JAMC1692.1
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Quantifying relationships between environmental factors and power dissipation on the most prolific days in the largest tornado "outbreaks".
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- International Journal of Climatology, 2020, v. 40, n. 6, p. 3150, doi. 10.1002/joc.6388
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More hots: Quantifying upward trends in the number of extremely hot days and nights in Tallahassee, Florida, USA: 1892–2018.
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- International Journal of Climatology, 2020, v. 40, n. 4, p. 1931, doi. 10.1002/joc.6308
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Unusually Devastating Tornadoes in the United States: 1995–2016.
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- Annals of the American Association of Geographers, 2020, v. 110, n. 3, p. 724, doi. 10.1080/24694452.2019.1638753
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The Spatial Pattern of the Sun-Hurricane Connection across the North Atlantic.
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- ISRN Meteorology, 2012, p. 1, doi. 10.5402/2012/517962
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Toward increased utilization of historical hurricane chronologies.
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- Journal of Geophysical Research. Atmospheres, 2010, v. 115, n. D3, p. n/a, doi. 10.1029/2009JD012424
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Frequency, intensity, and sensitivity to sea surface temperature of North Atlantic tropical cyclones in best-track and simulated data.
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- Journal of Advances in Modeling Earth Systems, 2013, v. 5, n. 3, p. 500, doi. 10.1002/jame.20036
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A Hierarchical Bayesian Approach to Seasonal Hurricane Modeling.
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- Journal of Climate, 2004, v. 17, n. 14, p. 2813, doi. 10.1175/1520-0442(2004)017<2813:AHBATS>2.0.CO;2
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Detecting Shifts in Hurricane Rates Using a Markov Chain Monte Carlo Approach.
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- Journal of Climate, 2004, v. 17, n. 13, p. 2652, doi. 10.1175/1520-0442(2004)017<2652:DSIHRU>2.0.CO;2
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Bayesian Analysis of U.S. Hurricane Climate.
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- Journal of Climate, 2001, v. 14, n. 23, p. 4341, doi. 10.1175/1520-0442(2001)014<4341:BAOUSH>2.0.CO;2
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Spatial Variations in Major U.S. Hurricane Activity: Statistics and a Physical Mechanism.
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- Journal of Climate, 2000, v. 13, n. 13, p. 2293, doi. 10.1175/1520-0442(2000)013<2293:SVIMUS>2.0.CO;2
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The 1995 and 1996 North Atlantic Hurricane Seasons: A Return of the Tropical-Only Hurricane.
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- Journal of Climate, 1998, v. 11, n. 8, p. 2062, doi. 10.1175/1520-0442-11.8.2062
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A Statistical Model for Regional Tornado Climate Studies.
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- PLoS ONE, 2015, v. 10, n. 8, p. 1, doi. 10.1371/journal.pone.0131876
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Kinetic Energy of Tornadoes in the United States.
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- PLoS ONE, 2015, v. 10, n. 7, p. 1, doi. 10.1371/journal.pone.0131090
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Combining Surge and Wind Risk from Hurricanes Using a Copula Model: An Example from Galveston, Texas.
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- Professional Geographer, 2015, v. 67, n. 1, p. 52, doi. 10.1080/00330124.2013.866437
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The changing validity of tropical cyclone warnings under global warming.
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- NPJ Climate & Atmospheric Science, 2018, v. 1, n. 1, p. N.PAG, doi. 10.1038/s41612-018-0047-3
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Continued Increases in the Intensity of Strong Tropical Cyclones.
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- Bulletin of the American Meteorological Society, 2020, v. 101, n. 8, p. E1301, doi. 10.1175/BAMS-D-19-0338.1
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Predictive Models For Time To Acceptance: An Example Using 'Hurricane' Articles in AMS Journals.
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- Bulletin of the American Meteorological Society, 2012, v. 93, n. 6, p. 879, doi. 10.1175/BAMS-D-11-00133.1
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HURRICANES AND CLIMATE CHANGE.
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- Bulletin of the American Meteorological Society, 2008, v. 89, n. 5, p. 677, doi. 10.1175/BAMS-89-5-677
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Bayesian Updating of Track-Forecast Uncertainty for Tropical Cyclones.
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- Weather & Forecasting, 2016, v. 31, n. 2, p. 621, doi. 10.1175/WAF-D-15-0140.1
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Comparison of Hindcasts Anticipating the 2004 Florida Hurricane Season.
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- Weather & Forecasting, 2006, v. 21, n. 2, p. 182, doi. 10.1175/WAF916.1
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Numerical Models of Boundary Layer Processes over and around the Gulf of Mexico during a Return-Flow Event.
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- Weather & Forecasting, 1998, v. 13, n. 4, p. 921, doi. 10.1175/1520-0434(1998)013<0921:NMOBLP>2.0.CO;2
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Large-Scale Circulation Departures Related to Wet Episodes In North-East Brazil.
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- Quarterly Journal of the Royal Meteorological Society, 1987, v. 113, n. 476, p. 567, doi. 10.1002/qj.49711347608
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Graphical Inference in Geographical Research.
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- Geographical Analysis, 2016, v. 48, n. 2, p. 115, doi. 10.1111/gean.12085
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New Methods in Tornado Climatology.
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- Geography Compass, 2015, v. 9, n. 4, p. 157, doi. 10.1111/gec3.12205
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Statistical Models for Tornado Climatology: Long and Short-Term Views.
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- PLoS ONE, 2016, v. 11, n. 11, p. 1, doi. 10.1371/journal.pone.0166895
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Adjusted Tornado Probabilities.
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- Electronic Journal of Severe Storms Metereology (EJSSM), 2013, v. 8, n. 7, p. 1
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Enhanced cloud-to-ground lightning frequency in the vicinity of coal plants and highways in Northern Georgia, USA.
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- Atmospheric Science Letters (John Wiley & Sons, Inc. ), 2013, v. 14, n. 4, p. 243, doi. 10.1002/asl2.446
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Hurricane intensity changes associated with geomagnetic variation.
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- Atmospheric Science Letters (John Wiley & Sons, Inc. ), 2001, v. 2, n. 1-4, p. 86, doi. 10.1006/asle.2001.0040
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Trade-off between intensity and frequency of global tropical cyclones.
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- Nature Climate Change, 2015, v. 5, n. 7, p. 661, doi. 10.1038/nclimate2646
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