Skip to main content
zenodoopen

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 Sch&ouml;nenberger 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 &#39;Rinversion&#39; 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&nbsp; 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 &#39;intermediates&#39;, whereas the final results of each inversion run are stored as a single R object (inversion_results_XXX.rda).</p> <p>&nbsp;</p> <p>&nbsp;</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

Topics