Posters
Come meet the poster presenters to ask them questions and discuss their work
We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
On 9 April at 17:15, we’ll also hold the main poster session and distinguish the 7 best posters of this year’s edition with our traditional Poster Awards Ceremony. Join us at the poster area to cheer and meet the laureates, and enjoy some drinks with all poster presenters!
We look forward to seeing you there!
PO113: Temporal and spatial variations in wind speed correlation: a comparative analysis of ERA5 and MERRA2 reanalysis data for the last decade
Elies Campmany, Technical Department, Vortex f.d.c.
Abstract
Understanding the consistency of wind speed data across different atmospheric reanalysis datasets is essential for reliable wind resource estimation. This study examines the correlation of monthly mean wind speeds between ERA5 and MERRA2 reanalysis datasets from 2016 to 2023 on a global scale. Using the coefficient of determination (R') as a metric, we generated R2 maps to identify regions with high and low correlations. The results reveal significant temporal and spatial variability in wind speed correlations, highlighting areas where the reanalysis datasets agree and regions where discrepancies are pronounced. Such differences in reanalysis data can lead to variations in wind resource estimations, affecting the accuracy and reliability of wind energy assessments. This comparative analysis underscores the importance of using multiple reanalysis datasets to capture the full range of uncertainties in atmospheric data, thereby improving the robustness of wind resource evaluations and aiding stakeholders in making informed decisions for wind energy projects.
No recording available for this poster.
