This project presents the data and code used to create Gaussian process emulators for atmospheric methane mole fractions and delta values in a three-dimensional chemistry transport model (CTM), and examine the sensitivity to different input parameters. The project is further explained in the sensitivity paper (https://doi.org/10.5194/acp-21-1717-2021).
This project has two constituent parts:
- the data used in the paper (gp_data.zip)
- the bitbucket repository used to create it
The code to create the MOZART runs and the raw MOZART runs themselves are not included in gp_data.zip, but the processed monthly median values are. If you are interested in the raw MOZART output, or the scripts to generate it, contact us at Matt.Rigby@bristol.ac.uk.