Serna (2026) Cambio Climático en España e Iberoamérica (2000–2024): Temperatura, CO₂ y Eventos Extremos

Identification

• Journal: Mendeley Data
• Year: 2026
• Date: 2026-03-30
• Authors: Juan Moises de la Serna
• DOI: 10.17632/zsnmvn3b5j.2

Research Groups

• Contributor: Juan Moises de la Serna
• Data Providers: AEMET, Copernicus C3S, MITECO, UNFCCC, PSMSL, EM-DAT

Short Summary

This dataset compiles comprehensive climate and environmental data for Spain and Iberoamerica from 2000 to 2024, covering key indicators such as temperature anomalies, CO₂ concentrations, greenhouse gas emissions, sea level rise, and extreme meteorological events. It serves as a valuable resource for studying regional climate change trends and impacts.

Objective

• To provide a comprehensive dataset detailing climate and environmental changes in Spain and Iberoamerica, including temperature anomalies, CO₂ concentrations, greenhouse gas emissions, sea level rise, and extreme meteorological events, for the period 2000–2024.

Study Configuration

• Spatial Scale: Spain and Iberoamerica
• Temporal Scale: 25 years (2000–2024)

Methodology and Data

• Models used: Not specified as this is a dataset description.
• Data sources: AEMET, Copernicus C3S, MITECO, UNFCCC, PSMSL, EM-DAT, Observatorio de Izana (for CO₂ concentrations).

Main Results

• The main result is the compiled dataset, "Cambio Climático en España e Iberoamérica (2000–2024): Temperatura, CO₂ y Eventos Extremos", which integrates diverse climate and environmental parameters for the specified region and period.

Contributions

• This dataset provides a valuable, integrated resource for researchers studying climate change impacts and trends in Spain and Iberoamerica, consolidating diverse environmental parameters from authoritative sources into a single, accessible collection.

Funding

• Not specified.

Citation

@article{Serna2026Cambio,
  author = {Serna, Juan Moises de la},
  title = {Cambio Climático en España e Iberoamérica (2000–2024): Temperatura, CO₂ y Eventos Extremos},
  journal = {Mendeley Data},
  year = {2026},
  doi = {10.17632/zsnmvn3b5j.2},
  url = {https://doi.org/10.17632/zsnmvn3b5j.2}
}