Assessment of Coastal Winds in Iceland Using Sentinel-1, Reanalysis, and MET Observations

This research evaluates three wind data sources, the Sentinel-1 wind product, the global reanalysis ERA5, and the regional reanalysis CARRA, across Iceland’s North, South, West, and East coastal regions. The analysis mainly focuses on validating Sentinel-1 high-resolution capabilities for capturing fine-scale wind patterns in coastal zones, where traditional reanalyses may have tangible limitations. Performance is evaluated through intercomparison of datasets and analysis of regional wind speed variability, with in situ coastal meteorological observations providing ground-truth validation. The results highlight the relative strengths and limitations of each source, offering guidance for improving wind-driven and wind-dependent applications in Iceland’s coastal regions, such as hazard assessment, marine operations, and renewable energy planning.

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Publication Details

Journal
Applied Sciences
Published
2025-09-27
DOI
https://doi.org/10.3390/app151910472
Primary Topic
Geophysics and Gravity Measurements
Type
article
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article

Assessment of Coastal Winds in Iceland Using Sentinel-1, Reanalysis, and MET Observations

Yngve Birkelund, Eduard Khachatrian, Andrea Marinoni
Applied Sciences
Geophysics and Gravity Measurements
article

Assessment of Coastal Winds in Iceland Using Sentinel-1, Reanalysis, and MET Observations

Yngve Birkelund, Eduard Khachatrian, Andrea Marinoni
article en

Abstract

This research evaluates three wind data sources, the Sentinel-1 wind product, the global reanalysis ERA5, and the regional reanalysis CARRA, across Iceland’s North, South, West, and East coastal regions. The analysis mainly focuses on validating Sentinel-1 high-resolution capabilities for capturing fine-scale wind patterns in coastal zones, where traditional reanalyses may have tangible limitations. Performance is evaluated through intercomparison of datasets and analysis of regional wind speed variability, with in situ coastal meteorological observations providing ground-truth validation. The results highlight the relative strengths and limitations of each source, offering guidance for improving wind-driven and wind-dependent applications in Iceland’s coastal regions, such as hazard assessment, marine operations, and renewable energy planning.

Applied SciencesVol. 15(19)
University of Cambridge (GB), Systems Analytics (United States) (US), UiT The Arctic University of Norway (NO)
Openalex Percentile: Top 73%
Geophysics and Gravity Measurements
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Assessment of Coastal Winds in Iceland Using Sentinel-1, Reanalysis, and MET Observations — Yngve Birkelund, Eduard Khachatrian, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS