Predicting hurricane trajectories with multi-source meteorological data

Using an iterative approach based on ocean data combined with typhoon trajectory inversion methods significantly improves accuracy over existing methods.

Authors

Publication Details

Journal
Scilight
Published
2025-03-14
DOI
https://doi.org/10.1063/10.0036242
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting hurricane trajectories with multi-source meteorological data

Avery Thompson
Scilight
Tropical and Extratropical Cyclones Research
article

Predicting hurricane trajectories with multi-source meteorological data

Avery Thompson
article en

Abstract

Using an iterative approach based on ocean data combined with typhoon trajectory inversion methods significantly improves accuracy over existing methods.

ScilightVol. 2025(11)
Openalex Percentile: Top 92%
Tropical and Extratropical Cyclones Research
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Predicting hurricane trajectories with multi-source meteorological data — Avery Thompson · Scilight (2025) | TGRS Research Map | TGRS