Identification of Cyclone Exposure Regimes in the Southwestern Caribbean Offshore Using Self-Organizing Maps: Implications for Risk-Informed Offshore Wind Planning

Offshore wind development in the Colombian Caribbean requires characterization of tropical cyclone exposure to support climate-resilient planning, yet objective regime classifications for this basin remain limited. This study develops an unsupervised Self-Organizing Map (SOM) framework using the NOAA HURDAT2 best-track database for 1970–2023, comprising 668 six-hourly observations from 103 storms and nine physically interpretable features describing position, intensity, kinematics, and seasonality. A 4 × 4 SOM combined with hierarchical Ward clustering identified four cyclone exposure regimes: R0, late-season slow north-eastward disturbances near San Andrés (11.5%); R1, fast westward mature tropical storms across the central Caribbean (62.0%); R2, slow north-westward disturbances off Central America (21.9%); and R3, rare major hurricanes crossing the central Caribbean (4.6%, seven storms; historical mean recurrence interval 7.7 years). R3 exhibited mean maximum sustained winds of 67.8 m/s and a minimum central pressure of 938.5 hPa, with peak winds reaching 79.7 m/s. The results provide a complementary historical hazard characterization layer for offshore wind planning, supporting risk-informed spatial and operational assessment. However, the identified regimes do not represent wind-resource conditions or probabilistic design return periods and should therefore be integrated with site-specific wind, wave, and structural assessments.

Authors

Institutions

Publication Details

Journal
Energies
Published
2026-09-11
DOI
https://doi.org/10.3390/en19184309
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Identification of Cyclone Exposure Regimes in the Southwestern Caribbean Offshore Using Self-Organizing Maps: Implications for Risk-Informed Offshore Wind Planning

Víctor Olivero-Ortíz, Carlos Robles-Algarín, Mario Eduardo Carbonó dela Rosa, Diego Restrepo-Leal et al.
Energies
Tropical and Extratropical Cyclones Research
article

Identification of Cyclone Exposure Regimes in the Southwestern Caribbean Offshore Using Self-Organizing Maps: Implications for Risk-Informed Offshore Wind Planning

Víctor Olivero-Ortíz, Carlos Robles-Algarín, Mario Eduardo Carbonó dela Rosa, Diego Restrepo-Leal, Adalberto Ospino Castro
article en

Abstract

Offshore wind development in the Colombian Caribbean requires characterization of tropical cyclone exposure to support climate-resilient planning, yet objective regime classifications for this basin remain limited. This study develops an unsupervised Self-Organizing Map (SOM) framework using the NOAA HURDAT2 best-track database for 1970–2023, comprising 668 six-hourly observations from 103 storms and nine physically interpretable features describing position, intensity, kinematics, and seasonality. A 4 × 4 SOM combined with hierarchical Ward clustering identified four cyclone exposure regimes: R0, late-season slow north-eastward disturbances near San Andrés (11.5%); R1, fast westward mature tropical storms across the central Caribbean (62.0%); R2, slow north-westward disturbances off Central America (21.9%); and R3, rare major hurricanes crossing the central Caribbean (4.6%, seven storms; historical mean recurrence interval 7.7 years). R3 exhibited mean maximum sustained winds of 67.8 m/s and a minimum central pressure of 938.5 hPa, with peak winds reaching 79.7 m/s. The results provide a complementary historical hazard characterization layer for offshore wind planning, supporting risk-informed spatial and operational assessment. However, the identified regimes do not represent wind-resource conditions or probabilistic design return periods and should therefore be integrated with site-specific wind, wave, and structural assessments.

EnergiesVol. 19(18)
University of Magdalena (CO), University of the Coast (CO), Universidad Nacional Abierta y a Distancia (CO), Universidad Cooperativa de Colombia (CO)
Ministério da Ciência, Tecnologia, Inovações e Comunicações, Agencia Nacional de Hidrocarburos
Climate action
Openalex Percentile: Top 15%
Tropical and Extratropical Cyclones Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.