
Gil Lizcano
Co-Founder at Climate Scale
Wind resources show strong variability across space and time — a challenge that climate change further amplifies. Evaluating this variability is key for accurate Energy Yield Assessments (EYA), yet it raises important questions about the reliability of historical datasets and the uncertainties they introduce.
In this recorded webinar, Elies Campmany (Vortex) and Gil Lizcano (Climate Scale) will present an overview of reanalysis datasets fit for purpose in the wind industry and explore methods to examine ERA5 beyond the usual performance metrics. Together, they discuss how to assess intrinsic uncertainties linked to data assimilation quality, time period, and region — and what this means for long-term wind resource assessments.
Watch the session to gain practical guidance on how to use reanalysis data confidently when accounting for multi-decadal wind variability.

Wind resource assessments rely on reanalysis datasets such as ERA5 — yet their intrinsic uncertainties are often overlooked.
In a context of multi-decadal variability and climate-driven shifts, understanding the limits and reliability of historical datasets is essential for robust Energy Yield Assessments (EYA).
In this recorder webinar, you will:


Co-Founder at Climate Scale

Wind Meteorologist at Vortex