Year-ahead Prediction of Hurricane Season Sea Surface Temperature in the Tropical Atlantic
Jonathan Meagher, Stephen Jewson

TL;DR
This paper evaluates three simple statistical methods for predicting sea surface temperatures in the tropical Atlantic a year in advance, aiming to improve hurricane number forecasts based on SST relationships.
Contribution
It introduces and compares three straightforward statistical approaches for year-ahead SST prediction in the tropical Atlantic.
Findings
One method outperformed others in predictive accuracy.
All methods showed potential for improving hurricane forecasts.
The study provides a foundation for developing SST-based hurricane prediction systems.
Abstract
One possible method for the year-ahead prediction of hurricane numbers would be to make a year-ahead prediction of sea surface temperature (SST), and then to apply relationships that link SST to hurricane numbers. As a first step towards setting up such a system this article compares three simple statistical methods for the year-ahead prediction of the relevant SSTs.
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Taxonomy
TopicsTropical and Extratropical Cyclones Research · Climate variability and models · Ocean Waves and Remote Sensing
