Supplementary tropical-cyclone count data-set for ‘Stratified statistical models of North Atlantic basin-wide and regional tropical cyclone counts’ (Journal of Geophysical Research, Kozar et al. 2012)
Using the historical Atlantic tropical cyclone record, this study examines the empirical relationships between climate state variables and Atlantic tropical cyclone counts. The state variables considered as predictors include indices of the El Niño/Southern Oscillation and Northern Atlantic Oscillat...
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Online Access: | https://dx.doi.org/10.26208/vyma-q755 https://www.datacommons.psu.edu/commonswizard/MetadataDisplay.aspx?Dataset=6301 |
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ftdatacite:10.26208/vyma-q755 2023-05-15T17:30:22+02:00 Supplementary tropical-cyclone count data-set for ‘Stratified statistical models of North Atlantic basin-wide and regional tropical cyclone counts’ (Journal of Geophysical Research, Kozar et al. 2012) Kozar, M.E. Mann, M.E. Camargo, S.J. Kossin, J.P. Evans, J.L. 2012 https://dx.doi.org/10.26208/vyma-q755 https://www.datacommons.psu.edu/commonswizard/MetadataDisplay.aspx?Dataset=6301 unknown Penn State Data Commons dataset Dataset 2012 ftdatacite https://doi.org/10.26208/vyma-q755 2021-11-05T12:55:41Z Using the historical Atlantic tropical cyclone record, this study examines the empirical relationships between climate state variables and Atlantic tropical cyclone counts. The state variables considered as predictors include indices of the El Niño/Southern Oscillation and Northern Atlantic Oscillation, and both “local” and “relative” measures of Main Development Region sea surface temperature. Other predictors considered include indices measuring the Atlantic Meridional Mode and the West African monsoon. Using all of the potential predictors in a forward stepwise Poisson regression, we examine the relationships between tropical cyclone counts and climate state variables. As a further extension on past studies, both basin-wide named storm counts and cluster analysis time series representing distinct flavors of tropical cyclones, are modeled. A wide variety of cross validation metrics reveal that basin-wide counts or sums over appropriately chosen clusters may be more skillfully modeled than the individual cluster series. Ultimately, the most skillful models typically share three predictors: indices for the main development region sea surface temperatures, the El Niño/Southern Oscillation, and the North Atlantic Oscillation. Dataset North Atlantic North Atlantic oscillation DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Using the historical Atlantic tropical cyclone record, this study examines the empirical relationships between climate state variables and Atlantic tropical cyclone counts. The state variables considered as predictors include indices of the El Niño/Southern Oscillation and Northern Atlantic Oscillation, and both “local” and “relative” measures of Main Development Region sea surface temperature. Other predictors considered include indices measuring the Atlantic Meridional Mode and the West African monsoon. Using all of the potential predictors in a forward stepwise Poisson regression, we examine the relationships between tropical cyclone counts and climate state variables. As a further extension on past studies, both basin-wide named storm counts and cluster analysis time series representing distinct flavors of tropical cyclones, are modeled. A wide variety of cross validation metrics reveal that basin-wide counts or sums over appropriately chosen clusters may be more skillfully modeled than the individual cluster series. Ultimately, the most skillful models typically share three predictors: indices for the main development region sea surface temperatures, the El Niño/Southern Oscillation, and the North Atlantic Oscillation. |
format |
Dataset |
author |
Kozar, M.E. Mann, M.E. Camargo, S.J. Kossin, J.P. Evans, J.L. |
spellingShingle |
Kozar, M.E. Mann, M.E. Camargo, S.J. Kossin, J.P. Evans, J.L. Supplementary tropical-cyclone count data-set for ‘Stratified statistical models of North Atlantic basin-wide and regional tropical cyclone counts’ (Journal of Geophysical Research, Kozar et al. 2012) |
author_facet |
Kozar, M.E. Mann, M.E. Camargo, S.J. Kossin, J.P. Evans, J.L. |
author_sort |
Kozar, M.E. |
title |
Supplementary tropical-cyclone count data-set for ‘Stratified statistical models of North Atlantic basin-wide and regional tropical cyclone counts’ (Journal of Geophysical Research, Kozar et al. 2012) |
title_short |
Supplementary tropical-cyclone count data-set for ‘Stratified statistical models of North Atlantic basin-wide and regional tropical cyclone counts’ (Journal of Geophysical Research, Kozar et al. 2012) |
title_full |
Supplementary tropical-cyclone count data-set for ‘Stratified statistical models of North Atlantic basin-wide and regional tropical cyclone counts’ (Journal of Geophysical Research, Kozar et al. 2012) |
title_fullStr |
Supplementary tropical-cyclone count data-set for ‘Stratified statistical models of North Atlantic basin-wide and regional tropical cyclone counts’ (Journal of Geophysical Research, Kozar et al. 2012) |
title_full_unstemmed |
Supplementary tropical-cyclone count data-set for ‘Stratified statistical models of North Atlantic basin-wide and regional tropical cyclone counts’ (Journal of Geophysical Research, Kozar et al. 2012) |
title_sort |
supplementary tropical-cyclone count data-set for ‘stratified statistical models of north atlantic basin-wide and regional tropical cyclone counts’ (journal of geophysical research, kozar et al. 2012) |
publisher |
Penn State Data Commons |
publishDate |
2012 |
url |
https://dx.doi.org/10.26208/vyma-q755 https://www.datacommons.psu.edu/commonswizard/MetadataDisplay.aspx?Dataset=6301 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_doi |
https://doi.org/10.26208/vyma-q755 |
_version_ |
1766126737997955072 |