Replication Data for: Typical meteorological years and heatwave datasets under present and future climate scenarios in the four main climatic regions of Catalonia

DOI

This repository contains weather data files for four cities in the main climatic zones of Catalunya, Spain — Barcelona, Lleida, Manresa and La Seu d’Urgell representing the coastal, continental, pre-coastal and pre- and Pyrenean Mediterranean climates, respectively. For each location, datasets represent typical and extreme meteorological conditions for the present (2020s), mid-term future (2050s), and long-term future (2090s).

For each city there are several sub-folders:

- BiasCorrected_CSV folder contains three comma-separated value (CSV) files, each comprising hourly weather data over 20-year periods representing the 2020s, 2050s, and 2090s. These datasets are derived from climate projections obtained through the COordinated Regional Downscaling EXperiment (CORDEX), aligned with the RCP 8.5 scenario outlined in the IPCC Fifth Assessment Report (AR5). To improve reliability, the raw projections have been adjusted for bias using historical meteorological records from local weather stations (in Barcelona - Raval, Lleida - Raimat, Manresa - Sant Salvador de Guardiola and La Seu d'Urgell) Servei Meteorològic de Catalunya. (2025, June). Metadades estacions meteorològiques automàtiques. Anàlisi Dades Obertes – Transparència Catalunya. https://analisi.transparenciacatalunya.cat/Medi-Ambient/Metadades-estacions-meteorol-giques-autom-tiques/yqwd-vj5e/about_data.

- The TMY_EPW folder includes weather files in the EnergyPlus EPW format, representing Typical Meteorological Years (TMYs). Each file provides hourly climate data for a full year, covering all key variables required for building thermal simulations, such as air temperature, relative humidity, atmospheric pressure, wind speed and direction, and global horizontal irradiance. These files are constructed from 20-year climate series corresponding to the present (2020s), mid-century (2050s), and end-century (2090s) periods, using a standardized method that selects the most representative months across the time spa.

- The Heatwaves_EPW folder contains annual weather files in EPW format for EnergyPlus simulations, specifically representing years with significant heat wave (HW) events. For each 20-year period and city, selected years include those marked by the most intense, longest, and most intense heat waves identified within the dataset. One representative file is provided for each time slot: Present (2006–2025), Mid-century (2041–2060), and End-century (2081–2100).

Machard, A. AMachard/Assembling-future-weather-files-including-heatwaves: v1.0.0 (v1.0.0). Zenodo. https://doi.org/10.5281/ zenodo.7300024 (2022)., v1.0.0

Identifier
DOI https://doi.org/10.34810/data2414
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2414
Provenance
Creator Capdevila, Roser ORCID logo; Garrido Soriano, Nuria ORCID logo; Salvati, Agnese ORCID logo; Enrico Tontodonati; Albert Masana López; Marina Ariza Morera; Oswin Marcelino Crespo Jijon
Publisher CORA.Repositori de Dades de Recerca
Contributor Capdevila Paramio, Roser; Universitat Politècnica de Catalunya; 240(MP); 240(CC)
Publication Year 2025
Rights CC BY-NC-ND 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-nd/4.0
OpenAccess true
Contact Capdevila Paramio, Roser (Universitat Politècnica de Catalunya)
Representation
Resource Type Simulation data; Dataset
Format text/tab-separated-values; application/octet-stream; text/plain; text/x-python
Size 12553445; 12794141; 12779718; 11603555; 1733757; 1723692; 1733483; 1760933; 1723220; 1763588; 1649273; 1761037; 1647567; 1717444; 1722926; 1763323; 13134202; 12765063; 7589751; 12283344; 1761715; 1722621; 1761330; 1734052; 1763399; 1722821; 1647941; 1761930; 1723032; 1763139; 13104307; 12793561; 12799395; 12358544; 1777772; 1764041; 1647245; 1762106; 1724016; 1763982; 1649342; 1763170; 1723446; 1764546; 1648462; 1762405; 1723959; 1763742; 22544; 6624
Version 1.0
Discipline Construction Engineering and Architecture; Earth and Environmental Science; Engineering; Engineering Sciences; Environmental Research; Geosciences; Humanities; Natural Sciences; Physics