Research data supporting "Chemistry-driven oxidant changes strongly influence climate forcing from vegetation emission"
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Authors
Archer-Nicholls, Scott
Abraham, N Luke
Shin, Youngsub Matthew
Griffiths, Paul
Grosvenor, Daniel P
Scott, Catherine E
Archibald, Alex T
Publication Date
2022-07-13Type
Dataset
Metadata
Show full item recordCitation
Weber, J., Archer-Nicholls, S., Abraham, N. L., Shin, Y. M., Griffiths, P., Grosvenor, D. P., Scott, C. E., & et al. (2022). Research data supporting "Chemistry-driven oxidant changes strongly influence climate forcing from vegetation emission" [Dataset]. https://doi.org/10.17863/CAM.83526
Description
These data come from model simulations performed with the United Kingdom Earth System Model (UKESM). Four main simulations were performed with different emissions of certain biogenic volatile organic compounds (BVOCs) and different ways of modelling atmospheric chemistry. Comparison of the output from these simulations provides information as to the importance of certain processes in terms of the atmospheric and climatic response. The data predominantly comprise 3- or 4- dimensional fields with coordinates of time-latitude-longitude or time-altitude-latitude-longitude. The data cover a range of atmospheric variables - temperature, pressure, radiative transfer, the concentrations of various gas phase and aerosol species and the fluxes through certain processes (e.g. at the flux of a chemical reaction). These fields enable us to diagnose how the atmosphere responses to the change in BVOC emissions. The associated README file provides full documentation for all the output variables.
Format
NetCDF4 files can be read using a range of libraries in common languages such as Python and R. If using Python I would recommend the libraries netCDF4, Iris, xarray or CF-python.
https://unidata.github.io/netcdf4-python/, https://ncas-cms.github.io/cf-python/, https://scitools-iris.readthedocs.io/en/latest/, https://docs.xarray.dev/en/stable/
Keywords
BVOCs, climate model data, feedback, isoprene, UKESM
Relationships
Sponsorship
Cambridge Trust Vice Chancellor’s Award
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.83526
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Licence URL: https://creativecommons.org/licenses/by-nc-nd/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
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