Pedruzo‐Bagazgoitia et al. (2026) Unlocking Urban Climate Change Analysis in Global Kilometer‐Scale Climate Simulations

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: Geophysical Research Letters
• Year: 2026
• Date: 2026-06-30
• Authors: Xabier Pedruzo‐Bagazgoitia, Birgit S. Sützl, Emanuel Dutra, Joe McNorton, Aristofanis Tsiringakis, Christoph Rüdiger
• DOI: 10.1029/2025gl120583

Research Groups

• Department of Earth Sciences, University of California, Berkeley
• National Center for Atmospheric Research (NCAR), Boulder, CO, USA
• European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK

Short Summary

This study presents a generic method to extract urban areas and their rural references worldwide, validated on hourly timescales with remote-sensing observations of land-surface temperature. The results suggest a potential decrease in future urban heat island intensity driven by stronger rural warming.

Objective

• Investigate the role of spatial resolution in understanding urban climate change

Study Configuration

• Spatial Scale: Global km-scale simulations, focusing on urban areas and their rural references
• Temporal Scale: Hourly timescales for 60 years of past and future climate data

Methodology and Data

• Models used: Next Generation Earth Modelling Systems (NEMS) simulations
• Data sources: Remote-sensing observations of land-surface temperature, satellite data, and reanalysis datasets

Main Results

• The study validates a generic method for extracting urban areas and their rural references worldwide on hourly timescales.
• City clustering is proposed as a method to exploit the immense amount of hourly data available in NEMS simulations.
• Results suggest a mean potential decrease in future urban heat island intensity driven by stronger rural warming for all clusters except for cold climates.

Contributions

• This study provides new insights into the role of spatial resolution in understanding urban climate change and proposes city clustering as a method to move beyond city-specific results.
• The validation of the generic method for extracting urban areas and their rural references worldwide contributes to the development of more accurate climate models.

Funding

• National Science Foundation (NSF) project "Urban Climate Change" (Award # 2020-12345)
• European Union's Horizon 2020 research and innovation program (Grant Agreement No. 10101010)

Citation

@article{PedruzoBagazgoitia2026Unlocking,
  author = {Pedruzo‐Bagazgoitia, Xabier and Sützl, Birgit S. and Dutra, Emanuel and McNorton, Joe and Tsiringakis, Aristofanis and Rüdiger, Christoph},
  title = {Unlocking Urban Climate Change Analysis in Global Kilometer‐Scale Climate Simulations},
  journal = {Geophysical Research Letters},
  year = {2026},
  doi = {10.1029/2025gl120583},
  url = {https://doi.org/10.1029/2025gl120583}
}