SECURES-Met: A European meteorological data set suitable for electricity modelling applications.

Area of Science:

• Meteorology
• Climate Science
• Energy Systems Analysis

Background:

• Electricity production and demand modeling necessitate precise, high-frequency meteorological data.
• European electricity markets are interconnected, requiring pan-European rather than country-specific modeling.
• Accurate thermal condition representation demands high spatial resolution, especially in mountainous terrains.

Purpose of the Study:

• To develop a comprehensive European climate dataset for electricity modeling.
• To address the challenges of high temporal and spatial resolution data requirements.
• To create a dataset suitable for both historical analysis and future climate change projections.

Main Methods:

• Aggregation of European-wide climate data into a single dataset.
• Ensuring hourly temporal resolution for electricity modeling needs.
• Incorporating high spatial variability, particularly in mountainous regions.

Main Results:

• The SECURES-Met dataset offers hourly resolution across the entire EU and selected European countries.
• It provides a reasonable data size while accounting for significant spatial variability.
• The dataset is optimized for electricity production and demand modeling.

Conclusions:

• SECURES-Met effectively meets the complex data demands of European electricity modeling.
• The dataset facilitates more accurate energy system analysis under current and future climate scenarios.
• It represents a significant advancement in climate data availability for the energy sector.