Research Data Leeds Repository

Citation

Conibear, Luke and Reddington, Carly L. and Silver, Ben J. and Chen, Ying and Knote, Christoph and 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
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: 09 Jul 2024 13:49

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