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A space–time statistical climate model for hurricane intensification in the North Atlantic basin
- Source :
- Advances in Statistical Climatology, Meteorology and Oceanography, Vol 2, Iss 2, Pp 105-114 (2016)
- Publication Year :
- 2016
- Publisher :
- Copernicus GmbH, 2016.
-
Abstract
- Climate influences on hurricane intensification are investigated by averaging hourly intensification rates over the period 1975–2014 in 8° × 8° latitude–longitude grid cells. The statistical effects of hurricane intensity and sea-surface temperature (SST), along with the climatic effects of El Niño–Southern Oscillation (ENSO), the North Atlantic Oscillation (NAO) and the Madden–Julian Oscillation (MJO), are quantified using a Bayesian hierarchical model fit to the averaged data. As expected, stronger hurricanes tend to have higher intensification rates, especially over the warmest waters. Of the three climate variables considered, the NAO has the largest effect on intensification rates after controlling for intensity and SST. The model shows an average increase in intensification rates of 0.18 [0.06, 0.31] m s−1 h−1 (95 % credible interval) for every 1 standard deviation decrease in the NAO index. Weak trade winds associated with the negative phase of the NAO might result in less vertical wind shear and thus higher mean intensification rates.
- Subjects :
- Statistics and Probability
Atmospheric Science
010504 meteorology & atmospheric sciences
lcsh:QC851-999
Oceanography
Atmospheric sciences
01 natural sciences
Standard deviation
lcsh:Oceanography
010104 statistics & probability
Wind shear
Bayesian hierarchical modeling
lcsh:GC1-1581
0101 mathematics
0105 earth and related environmental sciences
Atlantic hurricane
Applied Mathematics
Space time
Madden–Julian oscillation
Geography
North Atlantic oscillation
Climatology
lcsh:Meteorology. Climatology
Climate model
lcsh:Probabilities. Mathematical statistics
lcsh:QA273-280
Subjects
Details
- ISSN :
- 23643587
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Advances in Statistical Climatology, Meteorology and Oceanography
- Accession number :
- edsair.doi.dedup.....b2fe819ae53128eaa95b8012861a8614
- Full Text :
- https://doi.org/10.5194/ascmo-2-105-2016