Research Data Leeds Repository

Citation

Conibear, Luke, Reddington, Carly L., Silver, Ben J., Chen, Ying, Knote, Christoph, Arnold, Stephen R. and Spracklen, Dominick V. (2021) Supplementary Data - Statistical emulation of winter ambient fine particulate matter concentrations from emission changes in China. University of Leeds. [Dataset] https://doi.org/10.5518/953

Dataset description

The trained emulators per grid cell in China that predict ambient fine particulate matter concentrations from emission changes in five anthropogenic sectors.

Keywords:	Air quality, China, emulator, air pollution
Subjects:	F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences > F753 - Pollution control
Divisions:	Faculty of Environment > School of Earth and Environment Faculty of Environment > School of Earth and Environment > Institute for Climate and Atmospheric Science
Related resources:	Location Type https://doi.org/10.5281/zenodo.3813461 Software https://doi.org/10.1029/2021GH000391 Publication https://eprints.whiterose.ac.uk/173718/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	19 Apr 2021 19:45
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/831
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Conibear, Luke https://orcid.org/0000-0003-2801-8862 University of Leeds https://ror.org/024mrxd33 ror Reddington, Carly L. https://orcid.org/0000-0002-5990-4966 University of Leeds https://ror.org/024mrxd33 ror Silver, Ben J. https://orcid.org/0000-0003-0395-0637 University of Leeds https://ror.org/024mrxd33 ror Chen, Ying https://orcid.org/0000-0002-0319-4950 University of Exeter https://ror.org/03yghzc09 ror Knote, Christoph https://orcid.org/0000-0001-9105-9179 University of Augsburg https://ror.org/03p14d497 ror Arnold, Stephen R. https://orcid.org/0000-0002-4881-5685 University of Leeds https://ror.org/024mrxd33 ror Spracklen, Dominick V. https://orcid.org/0000-0002-7551-4597 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: AIA Group Limited, European Research Council, Natural Environment Research Council Grant numbers: 771492, NE/S006680/1 Publication date: 2021 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: l.a.conibear@leeds.ac.uk Last Modified: 08 Dec 2025 10:48

Files

Documentation

README [831B] README [831B] README [831B] Security: Anyone File name: README.txt Content type: Documentation Description: Instructions for emulators Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 831B

Data

Emulators [256MB] Emulators [256MB] Emulators [256MB] Security: Anyone File name: emulators.zip Content type: Data Description: Emulator files Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 256MB