Predicting landfalling hurricane numbers from basin hurricane numbers: statistical analysis and predictions
Stephen Jewson, Thomas Laepple, Adam O'Shay, Jeremy Penzer, Enrica Bellone, Kechi Nzerem
Abstract
One possible method for predicting landfalling hurricane numbers is to first predict the number of hurricanes in the basin and then convert that prediction to a prediction of landfalling hurricane numbers using an estimated proportion. Should this work better than just predicting landfalling hurricane numbers directly? We perform a basic statistical analysis of this question in the context of a simple abstract model, and convert some previous predictions of basin numbers into landfalling numbers.
Create a lesson
Related papers
Unreported large errors from two PAMGuard three-dimensional localizers of whale calls
Maya Mathur, Luke Stoner-Eby, Devin Pascoe et al.
A more predictable Madden-Julian Oscillation index derived from Koopman spectral analysis
Claire Valva, Edwin P. Gerber
"La Ola-MJO": a public-friendly nickname for the Madden-Julian Oscillation
Takeshi Izumo, Bastien Pagli, Claire Rocuet et al.
Disentangled Fingerprints suggest no historical weakening of Atlantic Overturning and Subpolar Gyre
Bahar Emirzade, Jade Ajagun-Brauns, Maya Ben-Yami et al.
How Much Hyperspectral Information Does Chlorophyll Retrieval Really Need?
Abed Hammoud, Xuerong Sun, Bianca Champenois et al.
Butterfly Effect and the Kinetic Energy Cascade in Probabilistic Machine Learning Weather Prediction Models
Jiakai Chen, Joel Oskarsson, Simon Driscoll et al.