Predictive Bias Potential in ERA5 and MERRA-2 Reanalysis Datasets – A Poster by Eron Jones

Predictive Bias Potential in ERA5 and MERRA-2 Reanalysis Datasets – A Poster by Eron Jones

ERA5 and MERRA-2 reanalysis data wind speeds are commonly used in wind energy resource assessments to predict long-term wind speeds for short-term data collection campaigns. Recent ArcVera analysis as well as due diligence review of third-party reports suggests the potential for discontinuity in interannual variations for each data source, which can introduce significant bias if not treated with proper consideration.

Author: Eron Jones, Director, Wind Energy Analysis Team, ArcVera Renewables

Poster presented at ACP Cleanpower 2024

Jonnathan Collings