Articles | Volume 8, issue 4
https://doi.org/10.5194/gc-8-229-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gc-8-229-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Visualising historical changes in air pollution with the Air Quality Stripes
Kirsty J. Pringle
CORRESPONDING AUTHOR
EPCC, University of Edinburgh, Edinburgh, UK
Software Sustainability Institute, University of Edinburgh, Edinburgh, UK
Richard Rigby
School of Earth and Environment, University of Leeds, Leeds, UK
Steven T. Turnock
Met Office Hadley Centre, Exeter, UK
University of Leeds Met Office Strategic (LUMOS) Research Group, University of Leeds, Leeds, UK
Carly L. Reddington
School of Earth and Environment, University of Leeds, Leeds, UK
Meruyert Shayakhmetova
EPCC, University of Edinburgh, Edinburgh, UK
Malcolm Illingworth
EPCC, University of Edinburgh, Edinburgh, UK
Denis Barclay
EPCC, University of Edinburgh, Edinburgh, UK
Software Sustainability Institute, University of Edinburgh, Edinburgh, UK
Neil Chue Hong
EPCC, University of Edinburgh, Edinburgh, UK
Software Sustainability Institute, University of Edinburgh, Edinburgh, UK
Ed Hawkins
Department of Meteorology, National Centre for Atmospheric Science, University of Reading, Reading, UK
Douglas S. Hamilton
Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA
Ethan Brain
Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC, USA
School of Earth and Environment, University of Leeds, Leeds, UK
Data sets
Air Quality Stripes (V1pt6) Kirsty Pringle and Jim McQuaid https://doi.org/10.5281/zenodo.14360345
Model code and software
Air Quality Stripes: Code used to create images (V1pt6_b) Kirsty Pringle and Richard Rigby https://doi.org/10.5281/zenodo.14393148
Executive editor
The concept of Air Quality Stripes presents a novel visualization method for historical air pollution, and all criteria for GC Letters are met.
The concept of Air Quality Stripes presents a novel visualization method for historical air...
Short summary
The Air Quality Stripes images visualise historical changes in particulate matter air pollution in over 150 cities worldwide. The project celebrates significant improvements in air quality in regions like Europe, North America, and China while highlighting the urgent need for action in areas such as central Asia. Designed to raise awareness, the images aim to inspire discussions about the critical impact of air pollution and the global inequalities it causes.
The Air Quality Stripes images visualise historical changes in particulate matter air pollution...
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Final-revised paper
Preprint