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The Impact of SST Bias Correction on North Atlantic Hurricane Retrospective Forecasts
Publisher: American Meteorological Society
Abstract: he impact of sea surface temperature (SST) bias correction on seasonal North Atlantic hurricane retrospective forecasts is examined with the Florida State University/Center for Ocean?Atmospheric Prediction Studies (FSU/COAPS) ...
Dynamical Simulations of North Atlantic Tropical Cyclone Activity Using Observed Low-Frequency SST Oscillation Imposed on CMIP5 Model RCP4.5 SST Projections
Publisher: American Meteorological Society
Abstract: he effects on early and late twenty-first-century North Atlantic tropical cyclone statistics resulting from imposing the patterns of maximum/minimum phases of the observed Atlantic multidecadal oscillation (AMO) onto ...
Sensitivity of Limiting Hurricane Intensity to SST in the Atlantic from Observations and GCMs
Publisher: American Meteorological Society
Abstract: statistical model for the intensity of the strongest hurricanes has been developed and a new methodology introduced for estimating the sensitivity of the strongest hurricanes to changes in sea surface temperature. Here, ...
Observed versus GCM-Generated Local Tropical Cyclone Frequency: Comparisons Using a Spatial Lattice
Publisher: American Meteorological Society
Abstract: f broad scientific and public interest is the reliability of global climate models (GCMs) to simulate future regional and local tropical cyclone (TC) occurrences. Atmospheric GCMs are now able to generate vortices resembling ...
Coupled Atmosphere–Ocean Modeling of the El Niño of 1997–98
Publisher: American Meteorological Society
Abstract: This study is based on a global coupled atmosphere?ocean model climate prediction that was designed to include 14 layers over the atmosphere and 17 layers within the ocean. In this model an 11-yr data assimilation includes ...
Multimodel Ensemble Forecasts for Weather and Seasonal Climate
Publisher: American Meteorological Society
Abstract: In this paper the performance of a multimodel ensemble forecast analysis that shows superior forecast skills is illustrated and compared to all individual models used. The model comparisons include global weather, hurricane ...