Exploring the Potential of Sentinel-1 Ocean Wind Field Product for Near-Surface Offshore Wind Assessment in the Norwegian Arctic

Author:

Khachatrian Eduard1ORCID,Asemann Patricia1ORCID,Zhou Lihong1ORCID,Birkelund Yngve1ORCID,Esau Igor12ORCID,Ricaud Benjamin1ORCID

Affiliation:

1. Department of Physics and Technology, UiT The Arctic University of Norway, NO-9037 Tromsø, Norway

2. Nansen Environmental and Remote Sensing Center, NO-5007 Bergen, Norway

Abstract

The exploitation of offshore wind resources is a crucial step towards a clean energy future. It requires an advanced approach for high-resolution wind resource evaluations. We explored the suitability of the Sentinel-1 Level-2 OCN ocean wind field (OWI) product for offshore wind resource assessments. The SAR data were compared to in situ observations and three reanalysis products: the global reanalysis ERA5 and two regional reanalyses CARRA and NORA3. This case study matches 238 scenes from 2022 for the Goliat station, an oil platform located 85 km northwest of Hammerfest in the Barents Sea, where a new offshore wind park has been proposed. The analysis showed that despite their unique limitations in spatial and temporal resolutions, all data sources have similar statistical properties (RMSE, correlation coefficient, and standard deviation). The Weibull parameters characterizing the wind speed distributions showed strong similarities between the Sentinel-1 and all reanalysis data. The Weibull parameters of the in situ measurements showed an underestimation of wind speed compared to all other sources. Comparing the full reanalysis datasets with the subsets matching the SAR scenes, only slight changes in Weibull parameters were found, indicating that, despite its low temporal resolution, the Sentinel-1 Level 2 OWI product can compete with the more commonly used reanalysis products in the estimation of offshore wind resources. Its high spatial resolution, which is unmatched by other methods, renders it especially valuable in offshore areas close to complex coastlines and in resolving weather events at a smaller scale.

Funder

Equinor Akademiaavtalen

UiT—The Arctic University of Norway

German Academic Exchange Service

ESA project

Publisher

MDPI AG

Reference25 articles.

1. International Energy Agency (2019). World Energy Outlook 2019, International Energy Agency.

2. Gualtieri, G. (2021). Reliability of ERA5 Reanalysis Data for Wind Resource Assessment: A Comparison against Tall Towers. Energies, 14.

3. The Making of the New European Wind Atlas—Part 2: Production and evaluation;Olsen;Geosci. Model Dev.,2020

4. Source Galileo (2023, October 17). GoliatVIND. Available online: https://goliatvind.no.

5. NORA3: A Nonhydrostatic High-Resolution Hindcast of the North Sea, the Norwegian Sea, and the Barents Sea;Haakenstad;Wind Energy Sci.,2021

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