Skip to main content
The Influence of Large-Scale Weather Patterns on Potential Wind Energy Fields over Mexico

The Influence of Large-Scale Weather Patterns on Potential Wind Energy Fields over Mexico

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Supplementary Files

Authors

Victor Manuel Peñaranda-Vélez , Carlos Abraham Ochoa-Moya, Arturo I. Quitanar Isaias

Abstract

The assessment of wind energy resources in large regions presents a substantial challenge for energy system operators due to the intricacies involved in accurately describing all atmospheric circulation patterns and, even more so, modeling their inherent dynamics. This research primarily aimed to identify the prevailing synoptic weather patterns over continental Mexico and its surrounding regions. The study utilized ERA5 Reanalysis daily mean sea level pressure anomaly data and two widely recognized clustering techniques, k-means and self-organizing maps, to achieve this objective. Research findings indicate that four weather patterns, estimated using k-means clustering, are sufficient to explain daily atmospheric variability over continental Mexico. However, the fifteen weather patterns identified through the self-organizing-maps technique suggest that the k-means-determined patterns can be complemented by interconnected transition patterns, which represent a more intricate dynamics within the tropical and subtropical atmosphere. The second primary objective of this research is to assess and analyze the impact of weather patterns on the wind velocity field and energy availability across continental Mexico. This assessment employed a probabilistic methodology grounded in the L-moments theory and the inference of a regional wind-speed model, which was supported by the Weibull and Kappa distributions. The findings indicate that fluctuations in large-scale weather patterns across the continental Mexican influence the potential wind energy production significantly. For instance, in the Oaxaca region, the potential wind energy fluctuates between 189 and 734 W/m^2. These results emphasize the crucial influence of these weather patterns on energy production and highlight the need for a comprehensive study within a forecasting framework to enhance the current operation of the Mexican electrical system.

DOI

https://doi.org/10.31223/X5MB8G

Subjects

Earth Sciences, Oceanography and Atmospheric Sciences and Meteorology, Statistics and Probability

Keywords

Wind Energy, Weather Patterns, Climatology, Regional Analysis, ERA5, L-moments, Self-organizing Maps, K-means clustering, Kappa Distribution, Weibull Distribution

Dates

Published: 2026-09-25 23:10

Last Updated: 2026-09-25 23:10

License

CC-BY Attribution-No Derivatives 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Data Availability:
The ERA5 Daily Mean Sea Level Pressure Anomalies and 100m-Wind Velocity data files, which serve as the foundation for this research, are available for access in the Harvard Dataverse online repository. These files can be accessed via the following URL address: https://doi.org/10.7910/DVN/L8AGSP.

Metrics

Views: 27

Downloads: 1