PAPILA dataset: a regional emission inventory of reactive gases for South America based on the combination of local and global information

Castesana, Paula; Diaz Resquin, Melisa; Huneeus, Nicolás; Puliafito, Enrique; Darras, Sabine; Gómez, Darío; Granier, Claire; Osses Alvarado, Mauricio; Rojas, Néstor; Dawidowski, Laura

doi:https://doi.org/10.5194/essd-14-271-2022

Articles | Volume 14, issue 1

https://doi.org/10.5194/essd-14-271-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Surface emissions for atmospheric chemistry and air quality...

https://doi.org/10.5194/essd-14-271-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 1

Data description paper

|

27 Jan 2022

Data description paper |

| 27 Jan 2022

PAPILA dataset: a regional emission inventory of reactive gases for South America based on the combination of local and global information

Paula Castesana, Melisa Diaz Resquin, Nicolás Huneeus, Enrique Puliafito, Sabine Darras, Darío Gómez, Claire Granier, Mauricio Osses Alvarado, Néstor Rojas, and Laura Dawidowski

Data sets

Data for: PAPILA dataset: a regional emission inventory of reactive gases for South America based on the combination of local and global information Paula Castesana, Melisa Diaz Resquin, Nicolás Huneeus, Enrique Puliafito, Sabine Darras, Darío Gómez, Claire Granier, Mauricio Osses Alvarado, Néstor Rojas, and Laura Dawidowski https://doi.org/10.17632/btf2mz4fhf.3

Short summary

This work presents the results of the first joint effort of South American and European researchers to generate regional maps of emissions. The PAPILA dataset is a collection of annual emission inventories of reactive gases (CO, NO_x, NMVOCs, NH₃, and SO₂) from anthropogenic sources in the region for the period 2014–2016. This was developed on the basis of the CAMS-GLOB-ANT v4.1 dataset, enriching it with derived data from locally available emission inventories for Argentina, Chile, and Colombia.