Articles | Volume 9, issue 8
https://doi.org/10.5194/wes-9-1727-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-9-1727-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Underestimation of strong wind speeds offshore in ERA5: evidence, discussion and correction
C2Wind ApS, 7000 Fredericia, Denmark
Jorge Garza
C2Wind ApS, 7000 Fredericia, Denmark
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Cited
29 citations as recorded by crossref.
- Comparing ERA5 reanalysis and in situ wind databases to characterize windstorms causing Tehuelche scallop beach strandings in San José gulf, Patagonia S. Seidnitzer et al.
- WHACS: An Improved Global Wave Hindcast for the Australian Climate Service G. Smith et al.
- Disruptions in alongshore sediment transport on sedimentary shores of the Baltic Sea driven by changes in forcing wave fields M. Eelsalu & T. Soomere
- Neural network–enhanced calibration of ERA5 wind speeds in the northwestern Indian Ocean using 32 years of satellite observations M. Kazeminezhad
- The Australian wave forecast system with statistical wind correction S. Zieger & A. Rea
- Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions M. Alkhalidi et al.
- Brief communication: Enhanced representation of the power spectra of wind speed in convection-permitting models N. Correa-Sánchez et al.
- Quantifying tropical-cyclone-generated waves in extreme-value-derived design for offshore wind S. McElman et al.
- Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations E. Cheynet et al.
- Bias Correction of GFS Short- to Medium-Range Wind Speed Forecasts via an ERA5-Based Adaptive Approach 静. 徐
- Numerical Weather Modelling and Large Eddy Simulations of Strong-Wind Events in Coastal Mountainous Terrain Y. Birkelund
- Global Prediction of Whitecap Coverage Using Transfer Learning and Satellite-Derived Data J. Qi et al.
- Implementation and calibration of a nested WW3-SWAN model for simulating waves under varying and extreme weather conditions: Case Study of the Algerian Coast Z. Abbas et al.
- Benefits of kilometer-scale climate modeling for winds in complex terrain: strong versus weak winds D. Belušić & P. Lind
- On the Interaction of Tropical Easterly Waves and the Caribbean Low-Level Jet Using Observed, ERA5 and WWLLN Data over the Intra-Americas Seas During OTREC 2019 J. Amador et al.
- A Model Downscaling Study of Wind Park Exposure to Extreme Weather: The Case of Storm “Ylva” in Arctic Norway I. Esau et al.
- Evaluation of ERA5, COSMO-REA6 and CERRA in simulating wind speed along the French coastline for wind energy applications A. Patra et al.
- Sensitivity of global storm surge modelling to sea surface drag F. Özkan et al.
- Determining the ideal length of wind speed series for wind speed distribution and resource assessment L. Zhou & I. Esau
- Comparison of In Situ Near-Surface Wind Measurements in the Southeastern Baltic Coastal Zone with Data from Stationary (Land-Based and Offshore) Weather Stations and Reanalyses A. Krek et al.
- Quantifying Supply-Side Mitigation Strategies for Offshore Wind Energy Droughts on a Global Scale C. Jung & D. Schindler
- Fine-Scale Temporal Wind Variability in ERA5 and Its Implications for Wind Stress Calculation X. Li et al.
- Environmental characteristics associated with the development of deep warm core Mediterranean Cyclones L. Bernini et al.
- Hydrodynamic mechanisms driving scallop beach strandings: coupling among wind, waves, and currents in San José Gulf, Patagonia, Argentina A. Salimbeni et al.
- Evaluation of Offshore Hydrogen Generation Capabilities via Wind Energy Integration Through a Comparative Study of Eight Sites M. Manolache et al.
- Overestimation of the recent observed near-surface wind speed recovery in China Y. Yan et al.
- Physics-guided deep learning for skillful wind-wave modeling X. Wang & H. Jiang
- Challenge and Bias Correction for Surface Wind Speed Prediction: A Case Study in Shanxi Province, China Z. Guo et al.
- Global techno-economic assessment of hybrid offshore wind, wave, and solar power E. Jonasson et al.
29 citations as recorded by crossref.
- Comparing ERA5 reanalysis and in situ wind databases to characterize windstorms causing Tehuelche scallop beach strandings in San José gulf, Patagonia S. Seidnitzer et al.
- WHACS: An Improved Global Wave Hindcast for the Australian Climate Service G. Smith et al.
- Disruptions in alongshore sediment transport on sedimentary shores of the Baltic Sea driven by changes in forcing wave fields M. Eelsalu & T. Soomere
- Neural network–enhanced calibration of ERA5 wind speeds in the northwestern Indian Ocean using 32 years of satellite observations M. Kazeminezhad
- The Australian wave forecast system with statistical wind correction S. Zieger & A. Rea
- Evaluating the Accuracy of the ERA5 Model in Predicting Wind Speeds Across Coastal and Offshore Regions M. Alkhalidi et al.
- Brief communication: Enhanced representation of the power spectra of wind speed in convection-permitting models N. Correa-Sánchez et al.
- Quantifying tropical-cyclone-generated waves in extreme-value-derived design for offshore wind S. McElman et al.
- Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations E. Cheynet et al.
- Bias Correction of GFS Short- to Medium-Range Wind Speed Forecasts via an ERA5-Based Adaptive Approach 静. 徐
- Numerical Weather Modelling and Large Eddy Simulations of Strong-Wind Events in Coastal Mountainous Terrain Y. Birkelund
- Global Prediction of Whitecap Coverage Using Transfer Learning and Satellite-Derived Data J. Qi et al.
- Implementation and calibration of a nested WW3-SWAN model for simulating waves under varying and extreme weather conditions: Case Study of the Algerian Coast Z. Abbas et al.
- Benefits of kilometer-scale climate modeling for winds in complex terrain: strong versus weak winds D. Belušić & P. Lind
- On the Interaction of Tropical Easterly Waves and the Caribbean Low-Level Jet Using Observed, ERA5 and WWLLN Data over the Intra-Americas Seas During OTREC 2019 J. Amador et al.
- A Model Downscaling Study of Wind Park Exposure to Extreme Weather: The Case of Storm “Ylva” in Arctic Norway I. Esau et al.
- Evaluation of ERA5, COSMO-REA6 and CERRA in simulating wind speed along the French coastline for wind energy applications A. Patra et al.
- Sensitivity of global storm surge modelling to sea surface drag F. Özkan et al.
- Determining the ideal length of wind speed series for wind speed distribution and resource assessment L. Zhou & I. Esau
- Comparison of In Situ Near-Surface Wind Measurements in the Southeastern Baltic Coastal Zone with Data from Stationary (Land-Based and Offshore) Weather Stations and Reanalyses A. Krek et al.
- Quantifying Supply-Side Mitigation Strategies for Offshore Wind Energy Droughts on a Global Scale C. Jung & D. Schindler
- Fine-Scale Temporal Wind Variability in ERA5 and Its Implications for Wind Stress Calculation X. Li et al.
- Environmental characteristics associated with the development of deep warm core Mediterranean Cyclones L. Bernini et al.
- Hydrodynamic mechanisms driving scallop beach strandings: coupling among wind, waves, and currents in San José Gulf, Patagonia, Argentina A. Salimbeni et al.
- Evaluation of Offshore Hydrogen Generation Capabilities via Wind Energy Integration Through a Comparative Study of Eight Sites M. Manolache et al.
- Overestimation of the recent observed near-surface wind speed recovery in China Y. Yan et al.
- Physics-guided deep learning for skillful wind-wave modeling X. Wang & H. Jiang
- Challenge and Bias Correction for Surface Wind Speed Prediction: A Case Study in Shanxi Province, China Z. Guo et al.
- Global techno-economic assessment of hybrid offshore wind, wave, and solar power E. Jonasson et al.
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Short summary
ERA5 has become the workhorse of most wind resource assessment applications, as it compares better with in situ measurements than other reanalyses. However, for design purposes, ERA5 suffers from a drawback: it underestimates strong wind speeds offshore (approx. from 10 m s−1). This is not widely discussed in the scientific literature. We address this bias and proposes a simple, robust correction. This article supports the growing need for use-case-specific validations of reanalysis datasets.
ERA5 has become the workhorse of most wind resource assessment applications, as it compares...
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