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Datasets for greenhouse gasses emissions and removals from inventories and global models over Africa

<p>This file includes the&nbsp;data&nbsp;from Mostefaoui&nbsp;et al. (ESSD, under&nbsp;submission), for &nbsp;54&nbsp;countries African&nbsp;countries</p> <p>&nbsp;The data includes:&nbsp;</p> <p>(1)&nbsp;CO2 fluxes from global models - satellite inversions and&nbsp;Dynamic Global Vegetation Models (DGVM) -, and from a collection of national inventories&nbsp;for LULUCF, GFEDv4 and FAO data.</p> <p>&nbsp;DGVM values are the median of 14 models, consistent with the Global Carbon Budget 2020&nbsp;(https://essd.copernicus.org/articles/12/3269/2020/) LULUCF UNFCCC&nbsp;&nbsp;corrected values&nbsp;are from Grassi &nbsp;<a href="https://priv-bx-myremote.tech.ec.europa.eu/preprints/essd-2022-104/,DanaInfo=.aetugDhuwm0xto76O48y,SSL+">https://essd.copernicus.org/preprints/essd-2022-104/</a>&nbsp;&nbsp;</p> <p>(2) CH4 fluxes from global&nbsp;models consistent with the Global Methane&nbsp;Budget 2020 (https://essd.copernicus.org/articles/12/1561/2020/)</p> <p>(3 N2O&nbsp;fluxes from global models (three inversions)</p> <p>For further methodological details, see Mostefaoui et al. (ESSD, under submission):</p> <p>Mounia Mostefaoui, Philippe Ciais, &nbsp;Matthew J. McGrath, Philippe Peylin, Prabir Patra.&nbsp;Greenhouse gasses emissions and their trends over the last three decades across Africa, ESSD (under submission)</p>

ShareScore

48/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
8

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