Atmospheric inversion results: sources of atmospheric halocarbons in the Eastern Mediterranean
<p>Settings, run script, observations and results from all inverse modelling runs used in Schönenberger et al., APC, 2018, for European sources of halocarbons for the year 2013.</p> <p>Settings and run script can be found in <a href="https://zenodo.org/api/files/3adbd30c-fef8-4bf1-9c0d-01bdb1c9a40e/inversion_run_scripts.tar.gz">inversion_run_scripts.tar.gz</a>. In order to reprocess the results the R package 'Rinversion' for atmospheric inversion (<a href="https://doi.org/10.5281/zenodo.1194641">https://doi.org/10.5281/zenodo.1194641</a>) has to be installed and the simulated source sensitivities (<a href="https://doi.org/10.5281/zenodo.1194037">https://doi.org/10.5281/zenodo.1194037</a>) have to be downloaded. Observations (<a href="https://zenodo.org/api/files/3adbd30c-fef8-4bf1-9c0d-01bdb1c9a40e/halocarbon_observations.tar.gz">halocarbon_observations.tar.gz</a>) are post-processed observations of the AGAGE network (<a href="http://agage.mit.edu/">http://agage.mit.edu/</a>) plus those gathered at the Finokalia site (<a href="https://doi.org/10.5281/zenodo.1186221">https://doi.org/10.5281/zenodo.1186221</a>).</p> <p>Inversion results (<a href="https://zenodo.org/api/files/3adbd30c-fef8-4bf1-9c0d-01bdb1c9a40e/inversion_results.tar">inversion_results.tar</a>) are contained as separate packages for each individual sensitivity experiment described in the publication. The sensitivity experiments are listed in inversion_results/InversionRuns.xlsx and agree with those listed in Table 1 of the publication. Subfolders are organised by halocarbon species: HCFC_142b, HCFC_22, HFC_125, HFC_152a, HFC_134, HFC_143a. For each halocarbon results are stored in form of plots, ASCII spread sheets (csv, dat) or R data objects (.rda). Time series and distribution plots are available in separate subfolders. Intermediate data used by the inversion code are stored in 'intermediates', whereas the final results of each inversion run are stored as a single R object (inversion_results_XXX.rda).</p> <p> </p> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 12
- Reuse readiness
- 8
- Engagement
- 4