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.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-271-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
27 Jan 2022
Data description paper |
| 27 Jan 2022
| 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
CORRESPONDING AUTHOR
Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
Comisión Nacional de Energía Atómica, Gerencia Química, Buenos Aires, Argentina
Instituto de Investigación e Ingeniería Ambiental, Universidad Nacional de San Martín, Buenos Aires, Argentina
Melisa Diaz Resquin
CORRESPONDING AUTHOR
Comisión Nacional de Energía Atómica, Gerencia Química, Buenos Aires, Argentina
Facultad de Ingeniería, Universidad de Buenos Aires, Buenos Aires, Argentina
Center for Climate and Resilience Research (CR), Santiago, Chile
Nicolás Huneeus
Center for Climate and Resilience Research (CR), Santiago, Chile
Departamento de Geofísica, Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, Santiago, Chile
Enrique Puliafito
Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina
Mendoza Regional Faculty – National Technological University (FRM-UTN), Mendoza, Argentina
Sabine Darras
Laboratoire d’Aérologie, Université de Toulouse, CNRS, UPS, France
Darío Gómez
Comisión Nacional de Energía Atómica, Gerencia Química, Buenos Aires, Argentina
Facultad de Ingeniería, Universidad de Buenos Aires, Buenos Aires, Argentina
Claire Granier
Laboratoire d’Aérologie, Université de Toulouse, CNRS, UPS, France
CIRES, University of Colorado and NOAA Chemical Sciences Laboratory, Boulder, United States
Mauricio Osses Alvarado
Departamento Ingeniería Mecánica, Universidad Técnica Federico Santa María (UTFSM), Santiago, Chile
Néstor Rojas
Air Quality Research Group, Universidad Nacional de Colombia, Bogotá, Colombia
Laura Dawidowski
Comisión Nacional de Energía Atómica, Gerencia Química, Buenos Aires, Argentina
Instituto de Investigación e Ingeniería Ambiental, Universidad Nacional de San Martín, Buenos Aires, Argentina
Related authors
No articles found.
Laura Gallardo, Charlie Opazo, Camilo Menares, Kevin Basoa, Nikos Daskalakis, Maria Kanakidou, Carmen Vega, Nicolás Huneeus, Roberto Rondanelli, and Rodrigo Seguel
EGUsphere, https://doi.org/10.5194/egusphere-2025-5643, https://doi.org/10.5194/egusphere-2025-5643, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
We assert the role of methane and other drivers of change in explaining the growing tropospheric ozone (O3) trend at Tololo (30.17° S, 70.80° W, 2154 m a.s.l.), and we quantify the contributions of biomass burning and stratosphere-to-troposphere transport on O3, particularly during the late winter and spring. These findings enhance understanding of O3 variability in the Southern Hemisphere free troposphere and underscore the importance of sustained observations at Tololo amid climate change.
Ricardo Morales-Betancourt, Cristóbal Galbán-Malagón, Thalia Montejo-Barato, Estela Blanco, Paula Tapia-Pino, Rosario Vargas, Cynthia Cordova, Colin Finnegan, Abenezer Shankute, Nicolas Jorge Huneeus, Sebastián Hernandez-Suarez, Paola Valencia, Marcelo Mena-Carrasco, and Robert B. Jackson
EGUsphere, https://doi.org/10.5194/egusphere-2025-3457, https://doi.org/10.5194/egusphere-2025-3457, 2025
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
We measured methane and nitrogen oxide emissions from household gas stoves in Chile and Colombia. We found that emissions are much higher than official estimates, mainly due to small leaks and ignition. These hidden emissions contribute to climate change and air pollution. Our work shows the need for better measurement, reporting, and appliance standards to reduce environmental impacts from everyday cooking.
Natalie M. Mahowald, Longlei Li, Julius Vira, Marje Prank, Douglas S. Hamilton, Hitoshi Matsui, Ron L. Miller, P. Louis Lu, Ezgi Akyuz, Daphne Meidan, Peter Hess, Heikki Lihavainen, Christine Wiedinmyer, Jenny Hand, Maria Grazia Alaimo, Célia Alves, Andres Alastuey, Paulo Artaxo, Africa Barreto, Francisco Barraza, Silvia Becagli, Giulia Calzolai, Shankararaman Chellam, Ying Chen, Patrick Chuang, David D. Cohen, Cristina Colombi, Evangelia Diapouli, Gaetano Dongarra, Konstantinos Eleftheriadis, Johann Engelbrecht, Corinne Galy-Lacaux, Cassandra Gaston, Dario Gomez, Yenny González Ramos, Roy M. Harrison, Chris Heyes, Barak Herut, Philip Hopke, Christoph Hüglin, Maria Kanakidou, Zsofia Kertesz, Zbigniew Klimont, Katriina Kyllönen, Fabrice Lambert, Xiaohong Liu, Remi Losno, Franco Lucarelli, Willy Maenhaut, Beatrice Marticorena, Randall V. Martin, Nikolaos Mihalopoulos, Yasser Morera-Gómez, Adina Paytan, Joseph Prospero, Sergio Rodríguez, Patricia Smichowski, Daniela Varrica, Brenna Walsh, Crystal L. Weagle, and Xi Zhao
Atmos. Chem. Phys., 25, 4665–4702, https://doi.org/10.5194/acp-25-4665-2025, https://doi.org/10.5194/acp-25-4665-2025, 2025
Short summary
Short summary
Aerosol particles are an important part of the Earth system, but their concentrations are spatially and temporally heterogeneous, as well as being variable in size and composition. Here, we present a new compilation of PM2.5 and PM10 aerosol observations, focusing on the spatial variability across different observational stations, including composition, and demonstrate a method for comparing the data sets to model output.
Sarah E. Hancock, Daniel J. Jacob, Zichong Chen, Hannah Nesser, Aaron Davitt, Daniel J. Varon, Melissa P. Sulprizio, Nicholas Balasus, Lucas A. Estrada, María Cazorla, Laura Dawidowski, Sebastián Diez, James D. East, Elise Penn, Cynthia A. Randles, John Worden, Ilse Aben, Robert J. Parker, and Joannes D. Maasakkers
Atmos. Chem. Phys., 25, 797–817, https://doi.org/10.5194/acp-25-797-2025, https://doi.org/10.5194/acp-25-797-2025, 2025
Short summary
Short summary
We quantify 2021 methane emissions in South America at up to 25 km × 25 km resolution using satellite methane observations. We find a 55 % upward adjustment to anthropogenic emission inventories, including those reported to the UN Framework Convention on Climate Change under the Paris Agreement. Our estimates match inventories for Brazil, Bolivia, and Paraguay but are much higher for other countries. Livestock emissions (65 % of anthropogenic emissions) show the largest discrepancies.
Flossie Brown, Gerd Folberth, Stephen Sitch, Paulo Artaxo, Marijn Bauters, Pascal Boeckx, Alexander W. Cheesman, Matteo Detto, Ninong Komala, Luciana Rizzo, Nestor Rojas, Ines dos Santos Vieira, Steven Turnock, Hans Verbeeck, and Alfonso Zambrano
Atmos. Chem. Phys., 24, 12537–12555, https://doi.org/10.5194/acp-24-12537-2024, https://doi.org/10.5194/acp-24-12537-2024, 2024
Short summary
Short summary
Ozone is a pollutant that is detrimental to human and plant health. Ozone monitoring sites in the tropics are limited, so models are often used to understand ozone exposure. We use measurements from the tropics to evaluate ozone from the UK Earth system model, UKESM1. UKESM1 is able to capture the pattern of ozone in the tropics, except in southeast Asia, although it systematically overestimates it at all sites. This work highlights that UKESM1 can capture seasonal and hourly variability.
Yasin Elshorbany, Jerald R. Ziemke, Sarah Strode, Hervé Petetin, Kazuyuki Miyazaki, Isabelle De Smedt, Kenneth Pickering, Rodrigo J. Seguel, Helen Worden, Tamara Emmerichs, Domenico Taraborrelli, Maria Cazorla, Suvarna Fadnavis, Rebecca R. Buchholz, Benjamin Gaubert, Néstor Y. Rojas, Thiago Nogueira, Thérèse Salameh, and Min Huang
Atmos. Chem. Phys., 24, 12225–12257, https://doi.org/10.5194/acp-24-12225-2024, https://doi.org/10.5194/acp-24-12225-2024, 2024
Short summary
Short summary
We investigated tropospheric ozone spatial variability and trends from 2005 to 2019 and related those to ozone precursors on global and regional scales. We also investigate the spatiotemporal characteristics of the ozone formation regime in relation to ozone chemical sources and sinks. Our analysis is based on remote sensing products of the tropospheric column of ozone and its precursors, nitrogen dioxide, formaldehyde, and total column CO, as well as ozonesonde data and model simulations.
Jorge E. Pachón, Mariel A. Opazo, Pablo Lichtig, Nicolas Huneeus, Idir Bouarar, Guy Brasseur, Cathy W. Y. Li, Johannes Flemming, Laurent Menut, Camilo Menares, Laura Gallardo, Michael Gauss, Mikhail Sofiev, Rostislav Kouznetsov, Julia Palamarchuk, Andreas Uppstu, Laura Dawidowski, Nestor Y. Rojas, María de Fátima Andrade, Mario E. Gavidia-Calderón, Alejandro H. Delgado Peralta, and Daniel Schuch
Geosci. Model Dev., 17, 7467–7512, https://doi.org/10.5194/gmd-17-7467-2024, https://doi.org/10.5194/gmd-17-7467-2024, 2024
Short summary
Short summary
Latin America (LAC) has some of the most populated urban areas in the world, with high levels of air pollution. Air quality management in LAC has been traditionally focused on surveillance and building emission inventories. This study performed the first intercomparison and model evaluation in LAC, with interesting and insightful findings for the region. A multiscale modeling ensemble chain was assembled as a first step towards an air quality forecasting system.
Rodrigo J. Seguel, Lucas Castillo, Charlie Opazo, Néstor Y. Rojas, Thiago Nogueira, María Cazorla, Mario Gavidia-Calderón, Laura Gallardo, René Garreaud, Tomás Carrasco-Escaff, and Yasin Elshorbany
Atmos. Chem. Phys., 24, 8225–8242, https://doi.org/10.5194/acp-24-8225-2024, https://doi.org/10.5194/acp-24-8225-2024, 2024
Short summary
Short summary
Trends of surface ozone were examined across South America. Our findings indicate that ozone trends in major South American cities either increase or remain steady, with no signs of decline. The upward trends can be attributed to chemical regimes that efficiently convert nitric oxide into nitrogen dioxide. Additionally, our results suggest a climate penalty for ozone driven by meteorological conditions that favor wildfire propagation in Chile and extensive heat waves in southern Brazil.
Rebecca M. Garland, Katye E. Altieri, Laura Dawidowski, Laura Gallardo, Aderiana Mbandi, Nestor Y. Rojas, and N'datchoh E. Touré
Atmos. Chem. Phys., 24, 5757–5764, https://doi.org/10.5194/acp-24-5757-2024, https://doi.org/10.5194/acp-24-5757-2024, 2024
Short summary
Short summary
This opinion piece focuses on two geographical areas in the Global South where the authors are based that are underrepresented in atmospheric science. This opinion provides context on common challenges and constraints, with suggestions on how the community can address these. The focus is on the strengths of atmospheric science research in these regions. It is these strengths, we believe, that highlight the critical role of Global South researchers in the future of atmospheric science research.
Antonin Soulie, Claire Granier, Sabine Darras, Nicolas Zilbermann, Thierno Doumbia, Marc Guevara, Jukka-Pekka Jalkanen, Sekou Keita, Cathy Liousse, Monica Crippa, Diego Guizzardi, Rachel Hoesly, and Steven J. Smith
Earth Syst. Sci. Data, 16, 2261–2279, https://doi.org/10.5194/essd-16-2261-2024, https://doi.org/10.5194/essd-16-2261-2024, 2024
Short summary
Short summary
Anthropogenic emissions are the result of transportation, power generation, industrial, residential and commercial activities as well as waste treatment and agriculture practices. This work describes the new CAMS-GLOB-ANT gridded inventory of 2000–2023 anthropogenic emissions of air pollutants and greenhouse gases. The methodology to generate the emissions is explained and the datasets are analysed and compared with publicly available global and regional inventories for selected world regions.
Natalie M. Mahowald, Longlei Li, Julius Vira, Marje Prank, Douglas S. Hamilton, Hitoshi Matsui, Ron L. Miller, Louis Lu, Ezgi Akyuz, Daphne Meidan, Peter Hess, Heikki Lihavainen, Christine Wiedinmyer, Jenny Hand, Maria Grazia Alaimo, Célia Alves, Andres Alastuey, Paulo Artaxo, Africa Barreto, Francisco Barraza, Silvia Becagli, Giulia Calzolai, Shankarararman Chellam, Ying Chen, Patrick Chuang, David D. Cohen, Cristina Colombi, Evangelia Diapouli, Gaetano Dongarra, Konstantinos Eleftheriadis, Corinne Galy-Lacaux, Cassandra Gaston, Dario Gomez, Yenny González Ramos, Hannele Hakola, Roy M. Harrison, Chris Heyes, Barak Herut, Philip Hopke, Christoph Hüglin, Maria Kanakidou, Zsofia Kertesz, Zbiginiw Klimont, Katriina Kyllönen, Fabrice Lambert, Xiaohong Liu, Remi Losno, Franco Lucarelli, Willy Maenhaut, Beatrice Marticorena, Randall V. Martin, Nikolaos Mihalopoulos, Yasser Morera-Gomez, Adina Paytan, Joseph Prospero, Sergio Rodríguez, Patricia Smichowski, Daniela Varrica, Brenna Walsh, Crystal Weagle, and Xi Zhao
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-1, https://doi.org/10.5194/essd-2024-1, 2024
Preprint withdrawn
Short summary
Short summary
Aerosol particles can interact with incoming solar radiation and outgoing long wave radiation, change cloud properties, affect photochemistry, impact surface air quality, and when deposited impact surface albedo of snow and ice, and modulate carbon dioxide uptake by the land and ocean. Here we present a new compilation of aerosol observations including composition, a methodology for comparing the datasets to model output, and show the implications of these results using one model.
Ruben Urraca, Greet Janssens-Maenhout, Nicolás Álamos, Lucas Berna-Peña, Monica Crippa, Sabine Darras, Stijn Dellaert, Hugo Denier van der Gon, Mark Dowell, Nadine Gobron, Claire Granier, Giacomo Grassi, Marc Guevara, Diego Guizzardi, Kevin Gurney, Nicolás Huneeus, Sekou Keita, Jeroen Kuenen, Ana Lopez-Noreña, Enrique Puliafito, Geoffrey Roest, Simone Rossi, Antonin Soulie, and Antoon Visschedijk
Earth Syst. Sci. Data, 16, 501–523, https://doi.org/10.5194/essd-16-501-2024, https://doi.org/10.5194/essd-16-501-2024, 2024
Short summary
Short summary
CoCO2-MOSAIC 1.0 is a global mosaic of regional bottom-up inventories providing gridded (0.1×0.1) monthly emissions of anthropogenic CO2. Regional inventories include country-specific information and finer spatial resolution than global inventories. CoCO2-MOSAIC provides harmonized access to these datasets and can be considered as a regionally accepted reference to assess the quality of global inventories, as done in the current paper.
Thais Luarte, Victoria A. Gómez-Aburto, Ignacio Poblete-Castro, Eduardo Castro-Nallar, Nicolas Huneeus, Marco Molina-Montenegro, Claudia Egas, Germán Azcune, Andrés Pérez-Parada, Rainier Lohmann, Pernilla Bohlin-Nizzetto, Jordi Dachs, Susan Bengtson-Nash, Gustavo Chiang, Karla Pozo, and Cristóbal J. Galbán-Malagón
Atmos. Chem. Phys., 23, 8103–8118, https://doi.org/10.5194/acp-23-8103-2023, https://doi.org/10.5194/acp-23-8103-2023, 2023
Short summary
Short summary
In the last 40 years, different research groups have reported on the atmospheric concentrations of persistent organic pollutants in Antarctica. In the present work, we make a compilation to understand the historical trends and estimate the atmospheric half-life of each compound. Of the compounds studied, HCB was the only one that showed no clear trend, while the rest of the studied compounds showed a significant decrease over time. This is consistent with results for polar and sub-polar zones.
Marc Guevara, Hervé Petetin, Oriol Jorba, Hugo Denier van der Gon, Jeroen Kuenen, Ingrid Super, Claire Granier, Thierno Doumbia, Philippe Ciais, Zhu Liu, Robin D. Lamboll, Sabine Schindlbacher, Bradley Matthews, and Carlos Pérez García-Pando
Atmos. Chem. Phys., 23, 8081–8101, https://doi.org/10.5194/acp-23-8081-2023, https://doi.org/10.5194/acp-23-8081-2023, 2023
Short summary
Short summary
This study provides an intercomparison of European 2020 emission changes derived from official inventories, which are reported by countries under the framework of several international conventions and directives, and non-official near-real-time estimates, the use of which has significantly grown since the COVID-19 outbreak. The results of the work are used to produce recommendations on how best to approach and make use of near-real-time emissions for modelling and monitoring applications.
Rémy Lapere, Nicolás Huneeus, Sylvain Mailler, Laurent Menut, and Florian Couvidat
Atmos. Chem. Phys., 23, 1749–1768, https://doi.org/10.5194/acp-23-1749-2023, https://doi.org/10.5194/acp-23-1749-2023, 2023
Short summary
Short summary
Glaciers in the Andes of central Chile are shrinking rapidly in response to global warming. This melting is accelerated by the deposition of opaque particles onto snow and ice. In this work, model simulations quantify typical deposition rates of soot on glaciers in summer and winter months and show that the contribution of emissions from Santiago is not as high as anticipated. Additionally, the combination of regional- and local-scale meteorology explains the seasonality in deposition.
Melisa Diaz Resquin, Pablo Lichtig, Diego Alessandrello, Marcelo De Oto, Darío Gómez, Cristina Rössler, Paula Castesana, and Laura Dawidowski
Earth Syst. Sci. Data, 15, 189–209, https://doi.org/10.5194/essd-15-189-2023, https://doi.org/10.5194/essd-15-189-2023, 2023
Short summary
Short summary
We explored the performance of the random forest algorithm to predict CO, NOx, PM10, SO2, and O3 air quality concentrations and comparatively assessed the monitored and modeled concentrations during the COVID-19 lockdown phases. We provide the first long-term O3 and SO2 observational dataset for an urban–residential area of Buenos Aires in more than a decade and study the responses of O3 to the reduction in the emissions of its precursors because of its relevance regarding emission control.
Lady Mateus-Fontecha, Angela Vargas-Burbano, Rodrigo Jimenez, Nestor Y. Rojas, German Rueda-Saa, Dominik van Pinxteren, Manuela van Pinxteren, Khanneh Wadinga Fomba, and Hartmut Herrmann
Atmos. Chem. Phys., 22, 8473–8495, https://doi.org/10.5194/acp-22-8473-2022, https://doi.org/10.5194/acp-22-8473-2022, 2022
Short summary
Short summary
This study reports the chemical composition of regionally representative PM2.5 in an area densely populated and substantially industrialized, located in the inter-Andean valley, with the highest sugarcane yield in the world and where sugarcane is burned and harvested year round. We found that sugarcane burning is not portrayed as a distinguishable sample composition component. Instead, the composition analysis revealed multiple associations among sugarcane burning components and other sources.
Mauricio Osses, Néstor Rojas, Cecilia Ibarra, Víctor Valdebenito, Ignacio Laengle, Nicolás Pantoja, Darío Osses, Kevin Basoa, Sebastián Tolvett, Nicolás Huneeus, Laura Gallardo, and Benjamín Gómez
Earth Syst. Sci. Data, 14, 1359–1376, https://doi.org/10.5194/essd-14-1359-2022, https://doi.org/10.5194/essd-14-1359-2022, 2022
Short summary
Short summary
This paper presents a detailed estimate of on-road vehicle emissions for Chile, between 1990–2020, and an analysis of emission trends for greenhouse gases and local pollutants. Data are disaggregated by type of vehicle and region at 0.01° × 0.01°. While the vehicle fleet grew 5-fold, CO2 emissions increased at a lower rate and local pollutants decreased. These trends can be explained by changes in improved vehicle technologies, better fuel quality and enforcement of emission standards.
Nicolás Álamos, Nicolás Huneeus, Mariel Opazo, Mauricio Osses, Sebastián Puja, Nicolás Pantoja, Hugo Denier van der Gon, Alejandra Schueftan, René Reyes, and Rubén Calvo
Earth Syst. Sci. Data, 14, 361–379, https://doi.org/10.5194/essd-14-361-2022, https://doi.org/10.5194/essd-14-361-2022, 2022
Short summary
Short summary
This study presents the first high-resolution national inventory of anthropogenic emissions for Chile (Inventario Nacional de Emisiones Antropogénicas, INEMA). Emissions for vehicular, industrial, energy, mining and residential sectors are estimated for the period 2015–2017 and spatially distributed onto a high-resolution grid (1 × 1 km). This inventory will support policies seeking to mitigate climate change and improve air quality by providing qualified scientific spatial emission information.
Katerina Sindelarova, Jana Markova, David Simpson, Peter Huszar, Jan Karlicky, Sabine Darras, and Claire Granier
Earth Syst. Sci. Data, 14, 251–270, https://doi.org/10.5194/essd-14-251-2022, https://doi.org/10.5194/essd-14-251-2022, 2022
Short summary
Short summary
Three new datasets of global emissions of biogenic volatile organic compounds (BVOCs) emitted into the atmosphere from terrestrial vegetation were developed for air quality modelling using the Model of Emissions of Gases and Aerosols from Nature (MEGANv2.1) driven by European Centre for Medium-Range Weather Forecasts meteorological reanalyses for the years 2000–2019. The datasets include updates of the isoprene emission factors in Europe and study the impact of land cover change on emissions.
S. Enrique Puliafito, Tomás R. Bolaño-Ortiz, Rafael P. Fernandez, Lucas L. Berná, Romina M. Pascual-Flores, Josefina Urquiza, Ana I. López-Noreña, and María F. Tames
Earth Syst. Sci. Data, 13, 5027–5069, https://doi.org/10.5194/essd-13-5027-2021, https://doi.org/10.5194/essd-13-5027-2021, 2021
Short summary
Short summary
GEAA-AEIv3.0M atmospheric emissions inventory is the first high-spatial-resolution inventory (approx. 2.5 km × 2.5 km) with monthly variability from 1995 to 2020, including greenhouse gases, ozone precursors, acidifying gases, and particulate matter, from all Argentine productive activities. The main benefit of GEAA-AEIv3.0M is to map emissions with better temporal resolution to support air quality and climate modeling, to evaluate pollutant mitigation strategies by Argentine decision makers.
Thierno Doumbia, Claire Granier, Nellie Elguindi, Idir Bouarar, Sabine Darras, Guy Brasseur, Benjamin Gaubert, Yiming Liu, Xiaoqin Shi, Trissevgeni Stavrakou, Simone Tilmes, Forrest Lacey, Adrien Deroubaix, and Tao Wang
Earth Syst. Sci. Data, 13, 4191–4206, https://doi.org/10.5194/essd-13-4191-2021, https://doi.org/10.5194/essd-13-4191-2021, 2021
Short summary
Short summary
Most countries around the world have implemented control measures to combat the spread of the COVID-19 pandemic, resulting in significant changes in economic and personal activities. We developed the CONFORM (COvid-19 adjustmeNt Factors fOR eMissions) dataset to account for changes in emissions during lockdowns. This dataset was created with the intention of being directly applicable to existing global and regional inventories used in chemical transport models.
Sekou Keita, Catherine Liousse, Eric-Michel Assamoi, Thierno Doumbia, Evelyne Touré N'Datchoh, Sylvain Gnamien, Nellie Elguindi, Claire Granier, and Véronique Yoboué
Earth Syst. Sci. Data, 13, 3691–3705, https://doi.org/10.5194/essd-13-3691-2021, https://doi.org/10.5194/essd-13-3691-2021, 2021
Short summary
Short summary
This inventory fills the gap in African regional inventories, providing biofuel and fossil fuel emissions that take into account African specificities. It could be used for air quality modeling. We show that all pollutant emissions are globally increasing during the period 1990–2015. Also, West Africa and East Africa emissions are largely due to domestic fire and traffic activities, while southern Africa and northern Africa emissions are largely due to industrial and power plant sources.
David Simpson and Sabine Darras
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-221, https://doi.org/10.5194/essd-2021-221, 2021
Manuscript not accepted for further review
Short summary
Short summary
We present a dataset of global soil NO emissions suitable for atmospheric chemistry modelling. Data are provided globally at 0.5° × 0.5° degrees horizontal resolution, and with monthly time resolution over the period 2000–2018. This paper presents the emission algorithms and their data-sources, some comments on the availability of soil NO emissions in other inventories (and how to avoid double-counting), and finally some preliminary modelling results and comparison with observed data.
Rémy Lapere, Laurent Menut, Sylvain Mailler, and Nicolás Huneeus
Atmos. Chem. Phys., 21, 6431–6454, https://doi.org/10.5194/acp-21-6431-2021, https://doi.org/10.5194/acp-21-6431-2021, 2021
Short summary
Short summary
Based on modeling, the transport dynamics of ozone and fine particles in central Chile are investigated. Santiago emissions are found to influence air quality along a 1000 km plume as far as Argentina and northern Chile. In turn, emissions outside the metropolis contribute significantly to its recorded particles concentration. Emissions of precursors from Santiago are found to lead to the formation of a persistent ozone bubble in altitude, a phenomenon which is described for the first time.
Marc Guevara, Oriol Jorba, Carles Tena, Hugo Denier van der Gon, Jeroen Kuenen, Nellie Elguindi, Sabine Darras, Claire Granier, and Carlos Pérez García-Pando
Earth Syst. Sci. Data, 13, 367–404, https://doi.org/10.5194/essd-13-367-2021, https://doi.org/10.5194/essd-13-367-2021, 2021
Short summary
Short summary
The temporal variability of atmospheric emissions is linked to changes in activity patterns, emission processes and meteorology. Accounting for the change in temporal emission characteristics is a key aspect for modelling the trends of air pollutants. This work presents a dataset of global and European emission temporal profiles to be used for air quality modelling purposes. The profiles were constructed considering the influences of local sociodemographic factors and climatological conditions.
Julián Gelman Constantin, Lucas Ruiz, Gustavo Villarosa, Valeria Outes, Facundo N. Bajano, Cenlin He, Hector Bajano, and Laura Dawidowski
The Cryosphere, 14, 4581–4601, https://doi.org/10.5194/tc-14-4581-2020, https://doi.org/10.5194/tc-14-4581-2020, 2020
Short summary
Short summary
We present the results of two field campaigns and modeling activities on the impact of atmospheric particles on Alerce Glacier (Argentinean Andes). We found that volcanic ash remains at different snow layers several years after eruption, increasing light absorption on the glacier surface (with a minor contribution of soot). This leads to 36 % higher annual glacier melting. We find remarkably that volcano eruptions in 2011 and 2015 have a relevant effect on the glacier even in 2016 and 2017.
Cited articles
Álamos, N., Huneeus, N., Opazo, M., Osses, M., Puja, S., Pantoja, N., Denier van der Gon, H., Schueftan, A., Reyes, R., and Calvo, R.: High resolution inventory of atmospheric emissions from transport, industrial, energy, mining and residential sectors of Chile, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-216, in review, 2021. a, b
Barros, V. and Camilloni, I.: La Argentina y el cambio climático, De la
física a la política, EUDEBA, ISBN: 978-950-23-2655-9, 2016. a
Belincanta, J. and Alchorne, J. A., and Teixeira Da Silva, M.: The Brazilian
experience with ethanol fuel: Aspects of production, use, quality and
distribution logistics, Braz. J. Chem. Eng., 33, 1091–1102,
https://doi.org/10.1590/0104-6632.20160334s20150088, 2016. a
CAMESA: https://portalweb.cammesa.com/default.aspx, last access:
27 June 2021. a
Castesana, P. S., Dawidowski, L. E., Finster, L., Gómez, D. R., and Taboada,
M. A.: Ammonia emissions from the agriculture sector in Argentina;
2000–2012, Atmos. Environ., 178, 293–304,
https://doi.org/10.1016/j.atmosenv.2018.02.003, 2018. a, b, c, d
Castesana, P. S., Vázquez-Amábile, G., Dawidowski, L. H., and Gómez, D. R.:
Temporal and spatial variability of nitrous oxide emissions from agriculture
in Argentina, Carbon Manag., 11, 251–263,
https://doi.org/10.1080/17583004.2020.1750229, 2020. a, b
Castesana, P. S., Diaz Resquin, M. C., Huneeus, N., Puliafito, E., Darras, S.,
Gómez, D., Granier, C., Osses Alvarado, M., Rojas, N., and Dawidowski, L.:
Data for: PAPILA dataset: a regional emission inventory of reactive gases
for South America based on the combination of local and global information,
v3, Mendeley Data [data set], https://doi.org/10.17632/btf2mz4fhf.3, 2021. a, b, c
CIESIN and CIAT: Gridded Population of the World, Version 3 (GPWv3): National
Identifier Grid, Center for International Earth Science Information Network –
CIESIN – Columbia University, and Centro Internacional de Agricultura
Tropical – CIAT, NASA Socioeconomic Data and Applications Center (SEDAC)
[data set], https://doi.org/10.7927/H49W0CDN, 2005. a
CR2-MMA: CR2 Emission inventory for Chile, Emissions of atmospheric Compounds
and Compilation of Ancillary Data (ECCAD), [data set],
available at: https://permalink.aeris-data.fr/CR2-MMA (last access: 22 June 2021), 2018. a
Dawidowski, L., Sánchez-Ccoyllo, O., and Alarcón, N.: Estimación de
emisiones vehiculares en Lima Metropolitana, Informe final. Lima:
SENAMHI/SAEMC, 2014. a
Dos Santos Lucon, O. and Moutinho Dos Santos, E.: The HORUS model –
Inventory of atmospheric pollutant emissions from industrial combustion in
Sao Paulo, Brazil, Environ. Impact Assess. Rev., 25, 197–214,
https://doi.org/10.1016/j.eiar.2004.06.010, 2005. a
EDGAR: EDGAR – Emissions Database for Global Atmospheric Research, EDGAR [data set],
available at: https://edgar.jrc.ec.europa.eu/emissions_data_and_maps, last access: 22 June
2021. a
El Pais:
https://elpais.com/internacional/2015/06/14/actualidad/1434286413_160142.html
(last access: 27 June 2021), 2015. a
EMEP: EMEP/EEA air pollutant emission inventory guidebook 2016, European
Environment Agency, Copenhagen, Denmark, 2017. a
EMISA: Emission Inventories in South America,
available at: https://igacproject.org/activities/emisa (last access:
7 June 2021), 2020. a
ENARGAS: Ente Nacional Regulador del Gas. Datos Abiertos: Datos operativos de
Transporte y Distribución de Gas,
available at: https://www.enargas.gob.ar/secciones/datos-abiertos/datos-abiertos.php, last access: 24 June
2021. a
Fioletov, V. E., McLinden, C. A., Krotkov, N., Li, C., Joiner, J., Theys, N., Carn, S., and Moran, M. D.: A global catalogue of large SO2 sources and emissions derived from the Ozone Monitoring Instrument, Atmos. Chem. Phys., 16, 11497–11519, https://doi.org/10.5194/acp-16-11497-2016, 2016. a
Freitas, S. R., Longo, K. M., Alonso, M. F., Pirre, M., Marecal, V., Grell, G., Stockler, R., Mello, R. F., and Sánchez Gácita, M.: PREP-CHEM-SRC – 1.0: a preprocessor of trace gas and aerosol emission fields for regional and global atmospheric chemistry models, Geosci. Model Dev., 4, 419–433, https://doi.org/10.5194/gmd-4-419-2011, 2011. a
Gallardo, L., Barraza, F., Ceballos, A., Galleguillos, M., Huneeus, N.,
Lambert, F., Ibarra, C., Munizaga, M., O'Ryan, R., Osses, M., Tolvett, S.,
Urquiza, A., and Véliz, K. D.: Evolution of air quality in Santiago:
The role of mobility and lessons from the science-policy interface,
Elementa, 6, 38, https://doi.org/10.1525/elementa.293, 2018. a, b
González-Rojas, C. H., Leiva-Guzmán, M., Manzano, C. A., Morales, R. G.,
and Araya, R. T.: Short-term air pollution events in the Atacama desert,
Chile, J. Soc. Am. Earth Sci., 105, 103010,
https://doi.org/10.1016/j.jsames.2020.103010, 2021. a
Gramsch, E., Cáceres, D., Oyola, P., Reyes, F., Vásquez, Y., Rubio, M., and
Sánchez, G.: Influence of surface and subsidence thermal inversion on PM2.5
and black carbon concentration, Atmos. Environ., 98, 290–298,
https://doi.org/10.1016/j.atmosenv.2014.08.066, 2014. a
Granier, C., Darras, S., Denier Van Der Gon, H., Jana, D., Elguindi, N., Bo,
G., Michael, G., Marc, G., Jalkanen, J.-P., and Kuenen, J.: The Copernicus
Atmosphere Monitoring Service global and regional emissions (April 2019
version), Copernicus Atmosphere Monitoring Service, 1–55,
https://doi.org/10.24380/d0bn-kx16, 2019. a, b, c
Grell, G. A., Peckham, S. E., Schmitz, R., McKeen, S. A., Frost, G.,
Skamarock, W. C., and Eder, B.: Fully coupled “online” chemistry
within the WRF model, Atmos. Environ., 39, 6957–6975,
https://doi.org/10.1016/j.atmosenv.2005.04.027, 2005. a, b
Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I., and Geron, C.: Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 3181–3210, https://doi.org/10.5194/acp-6-3181-2006, 2006. a
Hoesly, R. M., Smith, S. J., Feng, L., Klimont, Z., Janssens-Maenhout, G., Pitkanen, T., Seibert, J. J., Vu, L., Andres, R. J., Bolt, R. M., Bond, T. C., Dawidowski, L., Kholod, N., Kurokawa, J.-I., Li, M., Liu, L., Lu, Z., Moura, M. C. P., O'Rourke, P. R., and Zhang, Q.: Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS), Geosci. Model Dev., 11, 369–408, https://doi.org/10.5194/gmd-11-369-2018, 2018. a, b, c
Huneeus, N., Granier, C., Dawidowski, L., van der Gon, H. D., Alonso, M.,
Castesana, P., Diaz, M., Frost, G. J., Gallardo, L., Gomez, D., Hoesly, R., Melamed, M., Osses, M., Puliafito, E., Rojas, N., Sanchez, O., Smith, S., Tolvett, S., and Ynoue, R.:
Anthropogenic emissions in South America for air quality and climate
modelling, in: 2017 International Emission Inventory Conference Applying
Science and Streamlining Processes to Improve Inventories, August 2017, Baltimore, United States, 2017. a
Huneeus, N., Denier van der Gon, H., Castesana, P., Menares, C., Granier, C.,
Granier, L., Alonso, M., de Fatima Andrade, M., Dawidowski, L., Gallardo,
L., Gomez, D., Klimont, Z., Janssens-Maenhout, G., Osses, M., Puliafito,
S. E., Rojas, N., Sánchez-Ccoyllo, O., Tolvett, S., and Ynoue, R. Y.:
Evaluation of anthropogenic air pollutant emission inventories for South
America at national and city scale, Atmos. Environ., 235, 117606,
https://doi.org/10.1016/j.atmosenv.2020.117606, 2020a. a, b, c, d, e
Huneeus, N., A., U., Gayó, E., Osses, M., Arriagada, R., Valdés, M., Álamos,
N., Amigo, C., Arrieta, D., Basoa, K., Billi, M., Blanco, G., Boisier, J.,
Calvo, R., Casielles, I., Castro, M., Chahuán, J., Christie, D., Cordero,
L., Correa, V., Cortés, J., Fleming, Z., Gajardo, N., Gallardo, L., Gómez,
L., Insunza, X., Iriarte, P., Labraña, J., Lambert, F., Muñoz, A., Opazo,
M., O’Ryan, R., Osses, A., Plass, M., Rivas, M., Salinas, S., Santander,
S., Seguel, R., Smith, P., and Tolvett, S.: Informe a las Naciones. El aire
que respiramos: pasado, presente, futuro, Contaminación atmosférica por
MP2,5 en el centro y sur de Chile, available at: http://www.cr2.cl/contaminacion/ (last access: 22 June 2021),
2020b. a, b
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Dentener, F., Muntean, M., Pouliot, G., Keating, T., Zhang, Q., Kurokawa, J., Wankmüller, R., Denier van der Gon, H., Kuenen, J. J. P., Klimont, Z., Frost, G., Darras, S., Koffi, B., and Li, M.: HTAP_v2.2: a mosaic of regional and global emission grid maps for 2008 and 2010 to study hemispheric transport of air pollution, Atmos. Chem. Phys., 15, 11411–11432, https://doi.org/10.5194/acp-15-11411-2015, 2015. a
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., Bergamaschi, P., Pagliari, V., Olivier, J. G. J., Peters, J. A. H. W., van Aardenne, J. A., Monni, S., Doering, U., Petrescu, A. M. R., Solazzo, E., and Oreggioni, G. D.: EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012, Earth Syst. Sci. Data, 11, 959–1002, https://doi.org/10.5194/essd-11-959-2019, 2019. a
Kaiser, J. W., Heil, A., Andreae, M. O., Benedetti, A., Chubarova, N., Jones, L., Morcrette, J.-J., Razinger, M., Schultz, M. G., Suttie, M., and van der Werf, G. R.: Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power, Biogeosciences, 9, 527–554, https://doi.org/10.5194/bg-9-527-2012, 2012. a
Klimont, Z., Kupiainen, K., Heyes, C., Purohit, P., Cofala, J., Rafaj, P., Borken-Kleefeld, J., and Schöpp, W.: Global anthropogenic emissions of particulate matter including black carbon, Atmos. Chem. Phys., 17, 8681–8723, https://doi.org/10.5194/acp-17-8681-2017, 2017. a
Kuenen, J. J. P., Visschedijk, A. J. H., Jozwicka, M., and Denier van der Gon, H. A. C.: TNO-MACC_II emission inventory; a multi-year (2003–2009) consistent high-resolution European emission inventory for air quality modelling, Atmos. Chem. Phys., 14, 10963–10976, https://doi.org/10.5194/acp-14-10963-2014, 2014. a
Mazzeo, A., Huneeus, N., Ordoñez, C., Orfanoz-Cheuquelaf, A., Menut, L.,
Mailler, S., Valari, M., van der Gon, H. D., Gallardo, L., Muñoz, R.,
Donoso, R., Galleguillos, M., Osses M., and Tolvett, S.: Impact of residential combustion and transport emissions on air
pollution in Santiago during winter, Atmos. Environ., 190, 195–208, 2018. a, b, c
NOAA: NCEP FNL Operational Model Global Tropospheric Analyses, continuing from
July 1999, Research Data Archive at the National Center for Atmospheric
Research, Computational and Information Systems Laboratory, National Centers
for Environmental Prediction [data set], National Weather Service, U.S. Department of
Commerce, https://doi.org/10.5065/D6M043C6, 2000. a
Ortegon-Sanchez, A. and Oviedo Hernandez, D.: Assessment of the potential for
modal shift to non-motorised transport in a developing context: Case of Lima,
Peru, Res. Transp. Econ., 60, 3–13,
https://doi.org/10.1016/j.retrec.2016.05.010, 2016. a
Osses, M., Rojas, N., Ibarra, C., Valdebenito, V., Laengle, I., Pantoja, N., Osses, D., Basoa, K., Tolvett, S., Huneeus, N., Gallardo, L., and Gómez, B.: High-definition spatial distribution maps of on-road transport exhaust emissions in Chile, 1990–2020, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-218, in review, 2021. a
PAPILA: Prediction of Air Pollution in Latin America and the Caribbean,
available at: http://papila-h2020.eu/papila (last access: 7 June 2021), 2020. a
Policarpo, N. A., Silva, C., Lopes, T. F. A., Araújo, R. D. S.,
Cavalcante, F. S. Á., Pitombo, C. S., and de Oliveira, M. L. M.: Road
vehicle emission inventory of a Brazilian metropolitan area and insights for
other emerging economies, Transp. Res. D, 58, 172–185,
https://doi.org/10.1016/j.trd.2017.12.004, 2018. a
Ports: Estadísticas de carga, Puertos, Vías Navegables y Marina
Mercante, Ministerio de Transporte,
available at: https://www.argentina.gob.ar/puertos-vias-navegables-y-marina-mercante/estadisticas-de-carga, last access: 22 June
2021. a
Puliafito, S. E., Allende, D. G., Castesana, P. S., and Ruggeri, M. F.:
High-resolution atmospheric emission inventory of the argentine energy
sector. Comparison with edgar global emission database, Heliyon, 3, e00489,
https://doi.org/10.1016/j.heliyon.2017.e00489, 2017. a, b, c
Puliafito, S. E., Bolaño-Ortiz, T. R., Fernandez, R. P., Berná, L. L., Pascual-Flores, R. M., Urquiza, J., López-Noreña, A. I., and Tames, M. F.: High-resolution seasonal and decadal inventory of anthropogenic gas-phase and particle emissions for Argentina, Earth Syst. Sci. Data, 13, 5027–5069, https://doi.org/10.5194/essd-13-5027-2021, 2021. a, b
Romero, Y., Chicchon, N., Duarte, F., Noel, J., Ratti, C., and Nyhan, M.:
Quantifying and spatial disaggregation of air pollution emissions from
ground transportation in a developing country context: Case study for the
Lima Metropolitan Area in Peru, Sci. Total Environ., 698, 134313,
https://doi.org/10.1016/j.scitotenv.2019.134313, 2020. a, b
Secretaría de Energía: Datos Energía, Secretaría de
Energia, Ministerio de Economía de la Nación,
available at: http://datos.minem.gob.ar/, last access:
22 June 2021. a
Sharma, S., Sharma, P., and Khare, M.: Photo-chemical transport modelling of
tropospheric ozone: A review, Atmos. Environ., 159, 34–54,
https://doi.org/10.1016/j.atmosenv.2017.03.047, 2017. a
Stohl, A., Aamaas, B., Amann, M., Baker, L. H., Bellouin, N., Berntsen, T. K., Boucher, O., Cherian, R., Collins, W., Daskalakis, N., Dusinska, M., Eckhardt, S., Fuglestvedt, J. S., Harju, M., Heyes, C., Hodnebrog, Ø., Hao, J., Im, U., Kanakidou, M., Klimont, Z., Kupiainen, K., Law, K. S., Lund, M. T., Maas, R., MacIntosh, C. R., Myhre, G., Myriokefalitakis, S., Olivié, D., Quaas, J., Quennehen, B., Raut, J.-C., Rumbold, S. T., Samset, B. H., Schulz, M., Seland, Ø., Shine, K. P., Skeie, R. B., Wang, S., Yttri, K. E., and Zhu, T.: Evaluating the climate and air quality impacts of short-lived pollutants, Atmos. Chem. Phys., 15, 10529–10566, https://doi.org/10.5194/acp-15-10529-2015, 2015. a
TCN: Tercera Comunicación Nacional de la República Argentina a la
Convención Marco de la Naciones Unidas para el cambio Climático,
Tech. rep., Secretaría de Ambiente y Desarrollo Sustentable de la
Nación,
available at: https://www.argentina.gob.ar/ambiente/cambio-climatico/tercera-comunicacion (last access: 22 June 2021),
2015. a
The World Bank: Gini Index (World Bank estimate),
available at: https://data.worldbank.org/indicator/SI.POV.GINI (last access: 22 June 2021), 2019. a
The World Bank: Agricultural land (% of land area),
available at: https://data.worldbank.org/indicator/AG.LND.AGRI.ZS
(last access: 22 June 2021), 2020. a
Thompson, G., Field, P. R., Rasmussen, R. M., and Hall, W. D.: Explicit
Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme.
Part II: Implementation of a New Snow Parameterization, Mon. Weather Rev.,
136, 5095–5115, https://doi.org/10.1175/2008MWR2387.1, 2008. a
Trombetti, M., Thunis, P., Bessagnet, B., Clappier, A., Couvidat, F., Guevara,
M., Kuenen, J., and López-Aparicio, S.: Spatial inter-comparison of Top-down
emission inventories in European urban areas, Atmos. Environ., 173, 142–156,
https://doi.org/10.1016/j.atmosenv.2017.10.032, 2018.
a
UNEP: Waste Management Outlook for Latin America and the Caribbean, Programa
de las Naciones Unidas para el Medio Ambiente, Oficina para América
Latina y el Caribe, Ciudad de Panamá,
available at: https://wedocs.unep.org/20.500.11822/26448 (last access: 22 June 2021), 2018. a
United Nations: World Urbanization Prospects The 2014 Revision, United
Nations, Department of Economic and Social Affairs, Population Division,
(ST/ESA/SER.A/366), 2015. a
van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Mu, M., Kasibhatla, P. S., Morton, D. C., DeFries, R. S., Jin, Y., and van Leeuwen, T. T.: Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009), Atmos. Chem. Phys., 10, 11707–11735, https://doi.org/10.5194/acp-10-11707-2010, 2010. a
Villalobos, A. M., Barraza, F., Jorquera, H., and Schauer, J. J.: Wood burning
pollution in southern Chile: PM2.5 source apportionment using CMB and
molecular markers, Environ. Pollut., 225, 514–523,
https://doi.org/10.1016/j.envpol.2017.02.069, 2017. a
Vivanco, M. G. and Andrade, M. D. F.: Validation of the emission inventory in
the Sao Paulo Metropolitan Area of Brazil, based on ambient concentrations
ratios of CO, NMOG and NOx and on a photochemical model, Atmos. Environ., 40,
1189–1198, https://doi.org/10.1016/j.atmosenv.2005.10.041, 2006. a
Wang, K., Zhang, Y., and Yahya, K.: Decadal application of WRF/Chem over the
continental U.S.: Simulation design, sensitivity simulations, and
climatological model evaluation, Atmos. Environ., 253, 118331,
https://doi.org/10.1016/j.atmosenv.2021.118331, 2021. a
Wang, X., Liang, X. Z., Jiang, W., Tao, Z., Wang, J. X., Liu, H., Han, Z., Liu,
S., Zhang, Y., Grell, G. A., and Peckham, S. E.: WRF-Chem simulation of East
Asian air quality: Sensitivity to temporal and vertical emissions
distributions, Atmos. Environ., 44, 660–669,
https://doi.org/10.1016/j.atmosenv.2009.11.011, 2010. a
Wiedinmyer, C., Akagi, S. K., Yokelson, R. J., Emmons, L. K., Al-Saadi, J. A., Orlando, J. J., and Soja, A. J.: The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning, Geosci. Model Dev., 4, 625–641, https://doi.org/10.5194/gmd-4-625-2011, 2011. a, b
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, NOx, 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.
This work presents the results of the first joint effort of South American and European...
Altmetrics
Final-revised paper
Preprint