[{"ddc":["550"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2026","article_number":"5c08400","date_published":"2026-02-04T00:00:00Z","quality_controlled":"1","type":"journal_article","external_id":{"pmid":["41636708"]},"language":[{"iso":"eng"}],"_id":"21164","abstract":[{"lang":"eng","text":"Global emission inventories often fail to capture the complexities of vehicular pollution in regions with unique fuel mixes, such as Brazil’s extensive biofuel use, leading to significant uncertainties in atmospheric modeling. This study presents a century-long (1960–2100) bottom-up vehicular emission inventory for Brazil, leveraging locally derived emission factors. Our estimates reveal substantial discrepancies in magnitude, timing, and speciation of non-CO2 pollutants (CO, NMHC, PM2.5) compared to leading global inventories (EDGAR, CEDS, CAMS), highlighting critical inaccuracies in widely used data sets. More critically, future projections under Shared Socioeconomic Pathways (SSPs) uncover a novel positive feedback mechanism: rising temperatures significantly enhance vehicular evaporative nonmethane hydrocarbon (NMHC) emissions. This temperature-dependent increase and subsequent NMHC oxidation to CO2 suggest an overlooked pathway that could amplify climate warming and air pollution globally, particularly after a breakpoint around 2050 (p < 0.05). While historical emissions peaked in the 1990s–2000s, nonexhaust PM becomes increasingly important. Air quality simulations using our inventory in the MUSICA model show good regional PM2.5 agreement but highlight challenges in resolving local primary pollutant peaks. This comprehensive inventory provides crucial data for Brazil and uncovers globally relevant climate–chemistry interactions, urging a re-evaluation of regional specificities in global emission assessments."}],"day":"04","citation":{"mla":"Ibarra-Espinosa, Sergio, et al. “A Century of Vehicular Emissions in Brazil: Unveiling the Impacts of Unique Fuel Mix on Air Quality.” <i>Environmental Science &#38;amp; Technology</i>, 5c08400, American Chemical Society, 2026, doi:<a href=\"https://doi.org/10.1021/acs.est.5c08400\">10.1021/acs.est.5c08400</a>.","short":"S. Ibarra-Espinosa, E. Dias de Freitas, B. Gaubert, P. Lichtig, K. Ropkins, I. da Silva, G. Martins Pereira, D. Schuch, J. Nascimento, L. Hoinaski, L.D. Martins, M. Gavidia-Calderón, A. Vara-Vela, T. Toledo de Almeida Albuquerque, R.Y. Ynoue, S. Diez, Z. Mera, A. Casallas Garcia, F. Vallejo, V. Diaz, R. Pedruzzi, R. Abrutzky, M.A. Franco, N. Huneeus, H. Jorquera, L.C. Belalcázar-Cerón, N.Y. Rojas, M. de Fatima Andrade, L. Emmons, G. Brasseur, Environmental Science &#38;amp; Technology (2026).","ieee":"S. Ibarra-Espinosa <i>et al.</i>, “A century of vehicular emissions in Brazil: Unveiling the impacts of unique fuel mix on air quality,” <i>Environmental Science &#38;amp; Technology</i>. American Chemical Society, 2026.","apa":"Ibarra-Espinosa, S., Dias de Freitas, E., Gaubert, B., Lichtig, P., Ropkins, K., da Silva, I., … Brasseur, G. (2026). A century of vehicular emissions in Brazil: Unveiling the impacts of unique fuel mix on air quality. <i>Environmental Science &#38;amp; Technology</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.est.5c08400\">https://doi.org/10.1021/acs.est.5c08400</a>","ama":"Ibarra-Espinosa S, Dias de Freitas E, Gaubert B, et al. A century of vehicular emissions in Brazil: Unveiling the impacts of unique fuel mix on air quality. <i>Environmental Science &#38;amp; Technology</i>. 2026. doi:<a href=\"https://doi.org/10.1021/acs.est.5c08400\">10.1021/acs.est.5c08400</a>","ista":"Ibarra-Espinosa S, Dias de Freitas E, Gaubert B, Lichtig P, Ropkins K, da Silva I, Martins Pereira G, Schuch D, Nascimento J, Hoinaski L, Martins LD, Gavidia-Calderón M, Vara-Vela A, Toledo de Almeida Albuquerque T, Ynoue RY, Diez S, Mera Z, Casallas Garcia A, Vallejo F, Diaz V, Pedruzzi R, Abrutzky R, Franco MA, Huneeus N, Jorquera H, Belalcázar-Cerón LC, Rojas NY, de Fatima Andrade M, Emmons L, Brasseur G. 2026. A century of vehicular emissions in Brazil: Unveiling the impacts of unique fuel mix on air quality. Environmental Science &#38;amp; Technology., 5c08400.","chicago":"Ibarra-Espinosa, Sergio, Edmilson Dias de Freitas, Benjamin Gaubert, Pablo Lichtig, Karl Ropkins, Iara da Silva, Guilherme Martins Pereira, et al. “A Century of Vehicular Emissions in Brazil: Unveiling the Impacts of Unique Fuel Mix on Air Quality.” <i>Environmental Science &#38;amp; Technology</i>. American Chemical Society, 2026. <a href=\"https://doi.org/10.1021/acs.est.5c08400\">https://doi.org/10.1021/acs.est.5c08400</a>."},"has_accepted_license":"1","status":"public","scopus_import":"1","ec_funded":1,"publication":"Environmental Science &amp; Technology","date_updated":"2026-02-16T10:33:07Z","publication_identifier":{"issn":["0013-936X"],"eissn":["1520-5851"]},"oa_version":"None","date_created":"2026-02-09T06:54:10Z","title":"A century of vehicular emissions in Brazil: Unveiling the impacts of unique fuel mix on air quality","publication_status":"epub_ahead","publisher":"American Chemical Society","article_processing_charge":"No","pmid":1,"doi":"10.1021/acs.est.5c08400","acknowledgement":"Part of this material is based upon work supported by the NSF National Center for Atmospheric Research, which is a major facility sponsored by the National Science Foundation under Cooperative Agreement No. 1852977. Casallas was supported by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No. 101034413. E. D. Freitas thanks the support provided by the National Council for Scientific and Technological Development (CNPq, Process number 313210/2022–5). Silva gratefully acknowledges the financial support from the National Council for Scientific and Technological Development (CNPq), process number 140512/2021–7. P. Lichtig was supported by base funding from the National Commission for Atomic Energy (CNEA, Arg.) and by NSF NCAR. R.Y. Ynoue thanks the support provided by the National Council for Scientific and Technological Development (CNPq, Process number 406728/2022–4). M. A. Franco thanks the support provided by the National Council for Scientific and Technological Development (CNPq, Process number 407752/2023–4). G. M. Pereira thanks the support by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP; Process numbers 2018/07848–9, 2016/18438–0, and 2019/01316–80) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES; Process number 88887.103225/2025–00). M.F. Andrade thanks the support by FAPESP (Process number 2016/18438–0) and CNPQ (Klimapolis INCT).","month":"02","department":[{"_id":"CaMu"}],"article_type":"original","project":[{"name":"IST-BRIDGE: International postdoctoral program","grant_number":"101034413","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","call_identifier":"H2020"}],"author":[{"first_name":"Sergio","last_name":"Ibarra-Espinosa","full_name":"Ibarra-Espinosa, Sergio"},{"first_name":"Edmilson","last_name":"Dias de Freitas","full_name":"Dias de Freitas, Edmilson"},{"first_name":"Benjamin","full_name":"Gaubert, Benjamin","last_name":"Gaubert"},{"first_name":"Pablo","last_name":"Lichtig","full_name":"Lichtig, Pablo"},{"first_name":"Karl","last_name":"Ropkins","full_name":"Ropkins, Karl"},{"first_name":"Iara","last_name":"da Silva","full_name":"da Silva, Iara"},{"first_name":"Guilherme","last_name":"Martins Pereira","full_name":"Martins Pereira, Guilherme"},{"last_name":"Schuch","full_name":"Schuch, Daniel","first_name":"Daniel"},{"first_name":"Janaina","full_name":"Nascimento, Janaina","last_name":"Nascimento"},{"first_name":"Leonardo","last_name":"Hoinaski","full_name":"Hoinaski, Leonardo"},{"first_name":"Leila Droprinchinski","last_name":"Martins","full_name":"Martins, Leila Droprinchinski"},{"first_name":"Mario","last_name":"Gavidia-Calderón","full_name":"Gavidia-Calderón, Mario"},{"first_name":"Angel","last_name":"Vara-Vela","full_name":"Vara-Vela, Angel"},{"first_name":"Taciana","full_name":"Toledo de Almeida Albuquerque, Taciana","last_name":"Toledo de Almeida Albuquerque"},{"full_name":"Ynoue, Rita Yuri","last_name":"Ynoue","first_name":"Rita Yuri"},{"first_name":"Sebastian","full_name":"Diez, Sebastian","last_name":"Diez"},{"last_name":"Mera","full_name":"Mera, Zamir","first_name":"Zamir"},{"last_name":"Casallas Garcia","full_name":"Casallas Garcia, Alejandro","id":"92081129-2d75-11ef-a48d-b04dd7a2385a","first_name":"Alejandro","orcid":"0000-0002-1988-5035"},{"first_name":"Fidel","full_name":"Vallejo, Fidel","last_name":"Vallejo"},{"last_name":"Diaz","full_name":"Diaz, Valeria","first_name":"Valeria"},{"first_name":"Rizzieri","full_name":"Pedruzzi, Rizzieri","last_name":"Pedruzzi"},{"full_name":"Abrutzky, Rosana","last_name":"Abrutzky","first_name":"Rosana"},{"full_name":"Franco, Marco A.","last_name":"Franco","first_name":"Marco A."},{"first_name":"Nicolas","last_name":"Huneeus","full_name":"Huneeus, Nicolas"},{"first_name":"Hector","full_name":"Jorquera, Hector","last_name":"Jorquera"},{"first_name":"Luis Carlos","full_name":"Belalcázar-Cerón, Luis Carlos","last_name":"Belalcázar-Cerón"},{"first_name":"Néstor Y.","full_name":"Rojas, Néstor Y.","last_name":"Rojas"},{"first_name":"Maria","last_name":"de Fatima Andrade","full_name":"de Fatima Andrade, Maria"},{"last_name":"Emmons","full_name":"Emmons, Louisa","first_name":"Louisa"},{"first_name":"Guy","last_name":"Brasseur","full_name":"Brasseur, Guy"}]},{"status":"public","scopus_import":"1","ec_funded":1,"license":"https://creativecommons.org/licenses/by-nc/4.0/","date_updated":"2026-02-16T10:19:52Z","publication":"Quarterly Journal of the Royal Meteorological Society","year":"2026","ddc":["550"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_number":"e70131","main_file_link":[{"url":"https://doi.org/10.1002/qj.70131","open_access":"1"}],"date_published":"2026-02-12T00:00:00Z","OA_place":"publisher","type":"journal_article","quality_controlled":"1","language":[{"iso":"eng"}],"_id":"21217","abstract":[{"text":"This study investigates the mechanisms driving clustered convection and the breakdown of the Intertropical Convergence Zone (ITCZ) over the Western Pacific Warm Pool using high‐resolution cloud‐resolving simulations and machine‐learning sensitivity experiments. Results show that ITCZ breakdown episodes, marked by spatially homogeneous convection and weakened meridional moisture gradients, are triggered primarily by anomalous moisture advection linked to the equatorial Rossby‐wave activity. While large‐scale moisture advection regulates the background convective state strongly, it is the surface and low‐level meridional winds that dominate transitions between clustered and random convection. Simulations demonstrate that moisture alone can sustain convective clustering, but breakdown episodes are more persistent and widespread when coupled with southerly meridional advection. These findings confirm that wave‐driven advection acts as a regulatory mechanism, periodically disrupting convective clustering and reshaping the meridional moisture gradient. This modulation of organization by wave‐induced breakdown events is critical for understanding tropical convection variability and its implications for the climate system.","lang":"eng"}],"has_accepted_license":"1","day":"12","citation":{"short":"A. Casallas Garcia, A. Mark Tompkins, C.J. Muller, Quarterly Journal of the Royal Meteorological Society (2026).","ieee":"A. Casallas Garcia, A. Mark Tompkins, and C. J. Muller, “Moisture and wind effects of Rossby waves on Western Pacific Intertropical Convergence Zone breakdown events,” <i>Quarterly Journal of the Royal Meteorological Society</i>. Wiley, 2026.","mla":"Casallas Garcia, Alejandro, et al. “Moisture and Wind Effects of Rossby Waves on Western Pacific Intertropical Convergence Zone Breakdown Events.” <i>Quarterly Journal of the Royal Meteorological Society</i>, e70131, Wiley, 2026, doi:<a href=\"https://doi.org/10.1002/qj.70131\">10.1002/qj.70131</a>.","apa":"Casallas Garcia, A., Mark Tompkins, A., &#38; Muller, C. J. (2026). Moisture and wind effects of Rossby waves on Western Pacific Intertropical Convergence Zone breakdown events. <i>Quarterly Journal of the Royal Meteorological Society</i>. Wiley. <a href=\"https://doi.org/10.1002/qj.70131\">https://doi.org/10.1002/qj.70131</a>","ista":"Casallas Garcia A, Mark Tompkins A, Muller CJ. 2026. Moisture and wind effects of Rossby waves on Western Pacific Intertropical Convergence Zone breakdown events. Quarterly Journal of the Royal Meteorological Society., e70131.","ama":"Casallas Garcia A, Mark Tompkins A, Muller CJ. Moisture and wind effects of Rossby waves on Western Pacific Intertropical Convergence Zone breakdown events. <i>Quarterly Journal of the Royal Meteorological Society</i>. 2026. doi:<a href=\"https://doi.org/10.1002/qj.70131\">10.1002/qj.70131</a>","chicago":"Casallas Garcia, Alejandro, Adrian Mark Tompkins, and Caroline J Muller. “Moisture and Wind Effects of Rossby Waves on Western Pacific Intertropical Convergence Zone Breakdown Events.” <i>Quarterly Journal of the Royal Meteorological Society</i>. Wiley, 2026. <a href=\"https://doi.org/10.1002/qj.70131\">https://doi.org/10.1002/qj.70131</a>."},"publisher":"Wiley","corr_author":"1","tmp":{"image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode"},"article_processing_charge":"Yes (via OA deal)","acknowledgement":"This article is based on chapter 5 of the PhD thesis of A. Casallas. The authors thank Graziano Giuliani for discussions on the boundary-condition experiments. A. Casallas was supported by a PhD fellowship awarded by the Abdus Salam International Centre for Theoretical Physics. A. Casallas also acknowledges support by the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 101034413. C. Muller acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Project CLUSTER, Grant Agreement No. 805041). The authors gratefully acknowledge Daniel Hernández-Deckers, Lokahith Agasthya, Chris Holloway, and Paolina Cerlini for their valuable feedback and insightful discussions. They are especially thankful to Bety Pechacova for suggesting the use of SHAP to complement their analysis. They also thank the two anonymous reviewers for their constructive comments, which improved the quality and clarity of the article significantly. Open Access funding provided by Institute of Science and Technology Austria/KEMÖ.","oa":1,"doi":"10.1002/qj.70131","article_type":"original","project":[{"call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413","name":"IST-BRIDGE: International postdoctoral program"},{"name":"Organization of CLoUdS, and implications of Tropical  cyclones and for the Energetics of the tropics, in current and waRming climate","grant_number":"805041","call_identifier":"H2020","_id":"629205d8-2b32-11ec-9570-e1356ff73576"}],"department":[{"_id":"CaMu"}],"month":"02","author":[{"full_name":"Casallas Garcia, Alejandro","last_name":"Casallas Garcia","first_name":"Alejandro","id":"92081129-2d75-11ef-a48d-b04dd7a2385a","orcid":"0000-0002-1988-5035"},{"last_name":"Mark Tompkins","full_name":"Mark Tompkins, Adrian","first_name":"Adrian"},{"full_name":"Muller, Caroline J","last_name":"Muller","first_name":"Caroline J","id":"f978ccb0-3f7f-11eb-b193-b0e2bd13182b","orcid":"0000-0001-5836-5350"}],"publication_identifier":{"issn":["0035-9009"],"eissn":["1477-870X"]},"oa_version":"Published Version","OA_type":"hybrid","title":"Moisture and wind effects of Rossby waves on Western Pacific Intertropical Convergence Zone breakdown events","date_created":"2026-02-12T10:13:02Z","publication_status":"epub_ahead"},{"has_accepted_license":"1","day":"17","citation":{"chicago":"González, Yuri, Nicolás Malagón, Kevin Benavides, Luis Carlos Belalcázar, Ellie Anne Lopez-Barrera, and Alejandro Casallas Garcia. “Spatio-Temporal Trends of Air Pollution in Six South American Cities.” <i>Earth Systems and Environment</i>. Springer Nature, 2026. <a href=\"https://doi.org/10.1007/s41748-026-01068-9\">https://doi.org/10.1007/s41748-026-01068-9</a>.","ista":"González Y, Malagón N, Benavides K, Belalcázar LC, Lopez-Barrera EA, Casallas Garcia A. 2026. Spatio-temporal trends of air pollution in six South American cities. Earth Systems and Environment.","ama":"González Y, Malagón N, Benavides K, Belalcázar LC, Lopez-Barrera EA, Casallas Garcia A. Spatio-temporal trends of air pollution in six South American cities. <i>Earth Systems and Environment</i>. 2026. doi:<a href=\"https://doi.org/10.1007/s41748-026-01068-9\">10.1007/s41748-026-01068-9</a>","apa":"González, Y., Malagón, N., Benavides, K., Belalcázar, L. C., Lopez-Barrera, E. A., &#38; Casallas Garcia, A. (2026). Spatio-temporal trends of air pollution in six South American cities. <i>Earth Systems and Environment</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s41748-026-01068-9\">https://doi.org/10.1007/s41748-026-01068-9</a>","short":"Y. González, N. Malagón, K. Benavides, L.C. Belalcázar, E.A. Lopez-Barrera, A. Casallas Garcia, Earth Systems and Environment (2026).","ieee":"Y. González, N. Malagón, K. Benavides, L. C. Belalcázar, E. A. Lopez-Barrera, and A. Casallas Garcia, “Spatio-temporal trends of air pollution in six South American cities,” <i>Earth Systems and Environment</i>. Springer Nature, 2026.","mla":"González, Yuri, et al. “Spatio-Temporal Trends of Air Pollution in Six South American Cities.” <i>Earth Systems and Environment</i>, Springer Nature, 2026, doi:<a href=\"https://doi.org/10.1007/s41748-026-01068-9\">10.1007/s41748-026-01068-9</a>."},"language":[{"iso":"eng"}],"_id":"21311","abstract":[{"text":"Air pollution is a critical public health issue worldwide, South America faces unique challenges due to rapid urban growth, industrial expansion, and recurrent biomass burning. Existing studies have largely focused on regional or national scales, overlooking detailed spatio-temporal dynamics in cities. This study provides a comprehensive assessment of air pollution spatio-temporal trends from 2013 to 2023 in six major South American cities: Bogotá, Buenos Aires, Montevideo, Quito, Santiago de Chile, and São Paulo. We evaluated four key pollutants, NO2, O3, PM10, and PM2.5, using in situ monitoring networks complemented with reanalysis (boundary layer and pollution dynamics), and fire detections datasets (biomass burning). A key innovation is the use of a Lagrangian Tracker, which identifies persistent hotspots and transport pathways of pollutants, offering new insights into transboundary pollution. Results show that nearly all cities experienced reductions in particulate matter concentrations, while three of the six cities exhibited rising O3 levels, reflecting complex interactions between emissions, meteorology, and atmospheric chemistry. Santiago de Chile recorded the highest levels of NO2 and PM, strongly influenced by topography and biomass burning in JJA. Bogotá and Quito were notably impacted by regional fire emissions, whereas coastal cities such as Buenos Aires and Montevideo benefited from greater pollutant dispersion but still exceeded the World Health Organization guidelines. By integrating ground-based, satellite, and reanalysis data with advanced trajectory modeling, this research provides detailed spatio-temporal evaluations of air pollution in South America and highlights the urgent need for coordinated regional strategies to reduce health and economic burdens.","lang":"eng"}],"type":"journal_article","quality_controlled":"1","date_published":"2026-02-17T00:00:00Z","OA_place":"publisher","main_file_link":[{"url":"https://doi.org/10.1007/s41748-026-01068-9","open_access":"1"}],"year":"2026","ddc":["550"],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication":"Earth Systems and Environment","date_updated":"2026-02-23T11:57:21Z","license":"https://creativecommons.org/licenses/by/4.0/","scopus_import":"1","PlanS_conform":"1","status":"public","publication_status":"epub_ahead","title":"Spatio-temporal trends of air pollution in six South American cities","date_created":"2026-02-18T07:11:14Z","oa_version":"Published Version","OA_type":"hybrid","publication_identifier":{"issn":["2509-9426"],"eissn":["2509-9434"]},"author":[{"full_name":"González, Yuri","last_name":"González","first_name":"Yuri"},{"last_name":"Malagón","full_name":"Malagón, Nicolás","first_name":"Nicolás"},{"last_name":"Benavides","full_name":"Benavides, Kevin","first_name":"Kevin"},{"last_name":"Belalcázar","full_name":"Belalcázar, Luis Carlos","first_name":"Luis Carlos"},{"first_name":"Ellie Anne","full_name":"Lopez-Barrera, Ellie Anne","last_name":"Lopez-Barrera"},{"id":"92081129-2d75-11ef-a48d-b04dd7a2385a","first_name":"Alejandro","orcid":"0000-0002-1988-5035","full_name":"Casallas Garcia, Alejandro","last_name":"Casallas Garcia"}],"article_type":"original","month":"02","department":[{"_id":"CaMu"}],"acknowledgement":"The author would like to thank Fundación Universitaria Los Libertadores (Project ID: ING-40-25) for supporting her in this work. And EALB, would like to thank Universidad Sergio Arboleda (Project ID: IN.BG.086.24.015) for supporting her in this work. Open access funding provided by Institute of Science and Technology (IST Austria). The first author was funded by the Fundacion Universitaria Los Libertadores (Project ID: ING-40-25). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101034413289 awarded to AC. EALB was supported by Universidad Sergio Arboleda (Project ID: IN.BG.086.24.015).","doi":"10.1007/s41748-026-01068-9","oa":1,"corr_author":"1","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"article_processing_charge":"Yes (via OA deal)","publisher":"Springer Nature"},{"article_type":"original","project":[{"grant_number":"101034413","call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","name":"IST-BRIDGE: International postdoctoral program"}],"month":"02","department":[{"_id":"CaMu"}],"author":[{"full_name":"Bustos, Daniela","last_name":"Bustos","first_name":"Daniela"},{"first_name":"Diana","full_name":"Garcia, Diana","last_name":"Garcia"},{"last_name":"Rojas","full_name":"Rojas, Nestor Y.","first_name":"Nestor Y."},{"last_name":"Lopez-Barrera","full_name":"Lopez-Barrera, Ellie A.","first_name":"Ellie A."},{"full_name":"Peña-Rincon, Carlos","last_name":"Peña-Rincon","first_name":"Carlos"},{"full_name":"Casallas Garcia, Alejandro","last_name":"Casallas Garcia","orcid":"0000-0002-1988-5035","id":"92081129-2d75-11ef-a48d-b04dd7a2385a","first_name":"Alejandro"}],"acknowledgement":"EAL-B and CP-R received support from Sergio Arboleda University through project No. IN.BG.086.24.014. AC acknowledges support by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034413. We thank two anonymous reviewers for thein insightful comments that largely improve the manuscript. Open access funding provided by Institute of Science and Technology (IST Austria). This work was funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034413. The work also received funding from Sergio Arboleda University through project No. IN.BG.086.24.014.","doi":"10.1007/s41748-026-01052-3","oa":1,"publisher":"Springer Nature","corr_author":"1","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)"},"article_processing_charge":"Yes (via OA deal)","publication_status":"epub_ahead","oa_version":"Published Version","OA_type":"hybrid","date_created":"2026-02-23T08:26:51Z","title":"Ozone trends and mortality risk: The growing need for machine learning predictions in Bogotá, Colombia","publication_identifier":{"issn":["2509-9426"],"eissn":["2509-9434"]},"publication":"Earth Systems and Environment","date_updated":"2026-02-24T08:02:58Z","ec_funded":1,"status":"public","PlanS_conform":"1","has_accepted_license":"1","day":"20","citation":{"mla":"Bustos, Daniela, et al. “Ozone Trends and Mortality Risk: The Growing Need for Machine Learning Predictions in Bogotá, Colombia.” <i>Earth Systems and Environment</i>, Springer Nature, 2026, doi:<a href=\"https://doi.org/10.1007/s41748-026-01052-3\">10.1007/s41748-026-01052-3</a>.","ieee":"D. Bustos, D. Garcia, N. Y. Rojas, E. A. Lopez-Barrera, C. Peña-Rincon, and A. Casallas Garcia, “Ozone trends and mortality risk: The growing need for machine learning predictions in Bogotá, Colombia,” <i>Earth Systems and Environment</i>. Springer Nature, 2026.","short":"D. Bustos, D. Garcia, N.Y. Rojas, E.A. Lopez-Barrera, C. Peña-Rincon, A. Casallas Garcia, Earth Systems and Environment (2026).","apa":"Bustos, D., Garcia, D., Rojas, N. Y., Lopez-Barrera, E. A., Peña-Rincon, C., &#38; Casallas Garcia, A. (2026). Ozone trends and mortality risk: The growing need for machine learning predictions in Bogotá, Colombia. <i>Earth Systems and Environment</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s41748-026-01052-3\">https://doi.org/10.1007/s41748-026-01052-3</a>","ama":"Bustos D, Garcia D, Rojas NY, Lopez-Barrera EA, Peña-Rincon C, Casallas Garcia A. Ozone trends and mortality risk: The growing need for machine learning predictions in Bogotá, Colombia. <i>Earth Systems and Environment</i>. 2026. doi:<a href=\"https://doi.org/10.1007/s41748-026-01052-3\">10.1007/s41748-026-01052-3</a>","ista":"Bustos D, Garcia D, Rojas NY, Lopez-Barrera EA, Peña-Rincon C, Casallas Garcia A. 2026. Ozone trends and mortality risk: The growing need for machine learning predictions in Bogotá, Colombia. Earth Systems and Environment.","chicago":"Bustos, Daniela, Diana Garcia, Nestor Y. Rojas, Ellie A. Lopez-Barrera, Carlos Peña-Rincon, and Alejandro Casallas Garcia. “Ozone Trends and Mortality Risk: The Growing Need for Machine Learning Predictions in Bogotá, Colombia.” <i>Earth Systems and Environment</i>. Springer Nature, 2026. <a href=\"https://doi.org/10.1007/s41748-026-01052-3\">https://doi.org/10.1007/s41748-026-01052-3</a>."},"type":"journal_article","quality_controlled":"1","_id":"21344","language":[{"iso":"eng"}],"abstract":[{"text":"Tropospheric ozone has the potential to become an increasingly pressing public health issue in Bogotá, Colombia, due to rising concentrations across the city driven by complex interactions among emissions, meteorology, and urban structure. This study presents a comprehensive spatiotemporal analysis of ozone levels from 2013 to 2023 and assesses the associated health burden using mortality data from the same period. Results reveal a consistent upward trend in ozone concentrations, particularly in northern, western, and southern localities, with seasonal peaks linked to biomass burning and photochemical conditions. Mortality analysis, based on the Global Exposure Mortality Model, estimates that 18.3% of all deaths among individuals aged 25 and older are attributable to long-term ozone exposure. The highest burdens are found in densely populated and socioeconomically vulnerable areas such as Kennedy, Suba, and Ciudad Bolívar, with the elderly being the most affected. Building on these findings, we developed a machine learning prediction model for ozone using a convolutional merge with a long-short term memory network architecture trained on air quality and meteorological variables. The model demonstrated strong predictive performance (mean Rho=0.86, RMSE=3.5 μg/m3) across monitoring stations (17 with at least 35000 data points), supporting its potential application in real-time early warning systems across Bogotá. This integrated approach highlights the importance of localized air quality management, combining epidemiological assessment with predictive modeling. The findings underscore the urgency of implementing region-specific mitigation strategies and improving monitoring infrastructure to reduce health risks from ozone exposure in Bogotá’s rapidly growing urban environment.","lang":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1007/s41748-026-01052-3","open_access":"1"}],"date_published":"2026-02-20T00:00:00Z","OA_place":"publisher","year":"2026","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","ddc":["550"]},{"article_processing_charge":"No","status":"public","publisher":"Academy of Management","issue":"1","scopus_import":"1","doi":"10.5465/AMPROC.2025.54bp","volume":2025,"author":[{"full_name":"Plata, Carlos","last_name":"Plata","first_name":"Carlos"},{"id":"92081129-2d75-11ef-a48d-b04dd7a2385a","first_name":"Alejandro","orcid":"0000-0002-1988-5035","last_name":"Casallas Garcia","full_name":"Casallas Garcia, Alejandro"}],"publication":"85th Annual Meeting of the Academy of Management","date_updated":"2025-09-09T08:39:03Z","department":[{"_id":"CaMu"}],"month":"06","intvolume":"      2025","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publication_identifier":{"issn":["0065-0668"],"eissn":["2151-6561"]},"year":"2025","title":"Machine learning analysis of the factors influencing university-industry collaborations","date_created":"2025-07-06T22:01:23Z","date_published":"2025-06-17T00:00:00Z","OA_type":"closed access","oa_version":"None","_id":"19968","language":[{"iso":"eng"}],"abstract":[{"text":"In the dynamic arena of innovation, the relations between academia and industry are a keystone for breakthroughs and practical applications. Yet, the groundwork of these pivotal University-Industry (U-I) partnerships remains covered in complexity. This paper delves into these intricate relations, unraveling the factors that help successful collaborations. Grounded in the Resource-Based Theory, our study transcends traditional analytical boundaries, leveraging a neural network model to understand a comprehensive dataset from the UK’s Higher Education Statistics Agency, SCIMAGO Rankings, and Clarivate Publications. This novel approach helps to make clear the interplay of academic load, administrative support, scientific output, and university rank in sculpting U-I collaboration dynamics. Our findings suggest that reduced academic load and robust administrative support significantly bolster U-I collaborations. However, the influence of scientific output and university ranking is more nuanced, challenging the common belief. High scientific output, while indicative of expertise, doesn't always align with industry goals. Similarly, while higher-ranked universities could attract more collaborations, the benefits are not universal. This paper not only contributes to a deeper understanding of U-I collaborations, but also provides actionable insights for university administrators, policymakers, and industry leaders. In a world where innovation is key, understanding these collaborative dynamics is crucial for fostering partnerships that push the boundaries of research and practical application.","lang":"eng"}],"quality_controlled":"1","conference":{"end_date":"2025-07-29","location":"Copenhagen, Denmark","name":"AOM: Annual Meeting of the Academy of Management","start_date":"2025-07-25"},"publication_status":"published","type":"conference","citation":{"ieee":"C. Plata and A. Casallas Garcia, “Machine learning analysis of the factors influencing university-industry collaborations,” in <i>85th Annual Meeting of the Academy of Management</i>, Copenhagen, Denmark, 2025, vol. 2025, no. 1.","short":"C. Plata, A. Casallas Garcia, in:, 85th Annual Meeting of the Academy of Management, Academy of Management, 2025.","mla":"Plata, Carlos, and Alejandro Casallas Garcia. “Machine Learning Analysis of the Factors Influencing University-Industry Collaborations.” <i>85th Annual Meeting of the Academy of Management</i>, vol. 2025, no. 1, Academy of Management, 2025, doi:<a href=\"https://doi.org/10.5465/AMPROC.2025.54bp\">10.5465/AMPROC.2025.54bp</a>.","apa":"Plata, C., &#38; Casallas Garcia, A. (2025). Machine learning analysis of the factors influencing university-industry collaborations. In <i>85th Annual Meeting of the Academy of Management</i> (Vol. 2025). Copenhagen, Denmark: Academy of Management. <a href=\"https://doi.org/10.5465/AMPROC.2025.54bp\">https://doi.org/10.5465/AMPROC.2025.54bp</a>","ista":"Plata C, Casallas Garcia A. 2025. Machine learning analysis of the factors influencing university-industry collaborations. 85th Annual Meeting of the Academy of Management. AOM: Annual Meeting of the Academy of Management vol. 2025.","ama":"Plata C, Casallas Garcia A. Machine learning analysis of the factors influencing university-industry collaborations. In: <i>85th Annual Meeting of the Academy of Management</i>. Vol 2025. Academy of Management; 2025. doi:<a href=\"https://doi.org/10.5465/AMPROC.2025.54bp\">10.5465/AMPROC.2025.54bp</a>","chicago":"Plata, Carlos, and Alejandro Casallas Garcia. “Machine Learning Analysis of the Factors Influencing University-Industry Collaborations.” In <i>85th Annual Meeting of the Academy of Management</i>, Vol. 2025. Academy of Management, 2025. <a href=\"https://doi.org/10.5465/AMPROC.2025.54bp\">https://doi.org/10.5465/AMPROC.2025.54bp</a>."},"day":"17"},{"file":[{"file_size":5807997,"date_created":"2025-02-24T10:18:47Z","content_type":"application/pdf","access_level":"open_access","relation":"main_file","date_updated":"2025-02-24T10:18:47Z","creator":"acasalla","file_id":"19081","file_name":"Casallas_npj_2025.pdf","checksum":"a62c4fd5ddc1b240ed1e755d02ef7c05"},{"file_name":"Casallas_npj_2025_SM.pdf","checksum":"101072da7cbcc8b44aa47e3317546f78","file_id":"19082","creator":"acasalla","relation":"main_file","date_updated":"2025-02-24T10:24:12Z","access_level":"open_access","date_created":"2025-02-24T10:24:12Z","file_size":13703455,"content_type":"application/pdf","success":1}],"publication_status":"published","date_created":"2025-02-24T10:18:50Z","title":"Drivers of mesoscale convective aggregation and spatial humidity variability in the tropical western Pacific","OA_type":"gold","oa_version":"Published Version","publication_identifier":{"eissn":["2397-3722"]},"author":[{"full_name":"Tompkins, Adrian Mike","last_name":"Tompkins","first_name":"Adrian Mike"},{"last_name":"Casallas Garcia","full_name":"Casallas Garcia, Alejandro","first_name":"Alejandro","id":"92081129-2d75-11ef-a48d-b04dd7a2385a","orcid":"0000-0002-1988-5035"},{"full_name":"De Vera, Michie Vianca","last_name":"De Vera","first_name":"Michie Vianca"}],"volume":8,"department":[{"_id":"CaMu"}],"month":"02","project":[{"call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413","name":"IST-BRIDGE: International postdoctoral program"}],"article_type":"original","oa":1,"doi":"10.1038/s41612-024-00848-2","acknowledgement":"This paper is based on A.C. Ph.D. thesis, chapter 4. A.C. was supported by an ICTP Ph.D scholarship and subsequently by funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034413. MVDV was supported by an ICTP diploma programme scholarship while carrying out analysis for this publication. The funders played no role in study design, data collection, analysis and interpretation of data, or the writing of this manuscript. We would like to thank Maria Gehne of NOAA for providing the code for the wave activity calculation and advice on its use, and Fred Kucharski, Erika Coppola, Hernández-Deckers, Caroline Muller and Paolina Cerlini for their insightful comments and advice","article_processing_charge":"Yes","corr_author":"1","tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"publisher":"Springer Nature","citation":{"short":"A.M. Tompkins, A. Casallas Garcia, M.V. De Vera, Npj Climate and Atmospheric Science 8 (2025).","ieee":"A. M. Tompkins, A. Casallas Garcia, and M. V. De Vera, “Drivers of mesoscale convective aggregation and spatial humidity variability in the tropical western Pacific,” <i>npj Climate and Atmospheric Science</i>, vol. 8. Springer Nature, 2025.","mla":"Tompkins, Adrian Mike, et al. “Drivers of Mesoscale Convective Aggregation and Spatial Humidity Variability in the Tropical Western Pacific.” <i>Npj Climate and Atmospheric Science</i>, vol. 8, 69, Springer Nature, 2025, doi:<a href=\"https://doi.org/10.1038/s41612-024-00848-2\">10.1038/s41612-024-00848-2</a>.","apa":"Tompkins, A. M., Casallas Garcia, A., &#38; De Vera, M. V. (2025). Drivers of mesoscale convective aggregation and spatial humidity variability in the tropical western Pacific. <i>Npj Climate and Atmospheric Science</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41612-024-00848-2\">https://doi.org/10.1038/s41612-024-00848-2</a>","ista":"Tompkins AM, Casallas Garcia A, De Vera MV. 2025. Drivers of mesoscale convective aggregation and spatial humidity variability in the tropical western Pacific. npj Climate and Atmospheric Science. 8, 69.","ama":"Tompkins AM, Casallas Garcia A, De Vera MV. Drivers of mesoscale convective aggregation and spatial humidity variability in the tropical western Pacific. <i>npj Climate and Atmospheric Science</i>. 2025;8. doi:<a href=\"https://doi.org/10.1038/s41612-024-00848-2\">10.1038/s41612-024-00848-2</a>","chicago":"Tompkins, Adrian Mike, Alejandro Casallas Garcia, and Michie Vianca De Vera. “Drivers of Mesoscale Convective Aggregation and Spatial Humidity Variability in the Tropical Western Pacific.” <i>Npj Climate and Atmospheric Science</i>. Springer Nature, 2025. <a href=\"https://doi.org/10.1038/s41612-024-00848-2\">https://doi.org/10.1038/s41612-024-00848-2</a>."},"day":"24","has_accepted_license":"1","external_id":{"isi":["001432282900002"]},"language":[{"iso":"eng"}],"_id":"19080","abstract":[{"text":"We examine mesoscale convective organisation in the tropical western Pacific using a multivariate analysis of column humidity, precipitation and sea surface temperature (SST) observations. We demonstrate that in boreal summer and autumn, convection remains spatially random despite radiative-feedbacks acting to aggregate convection, which we attribute to the high density of convective moisture sources and the role of wind shear. Instead, in winter and spring, a weak meridional SST gradient exists and convection is usually clustered over the regions of warmer SSTs, with significant meridional humidity gradients. However, this is sporadically interrupted by episodes of convection migration to the coldest SSTs and limited spatial humidity variance. These episodes are the result of westward propagating equatorial waves, which remove meridional humidity gradients. It appears that the drivers of mesoscale convective clustering and humidity variability in the Pacific warm pool are the SST gradients, shear, and equatorial wave dynamics.","lang":"eng"}],"quality_controlled":"1","type":"journal_article","OA_place":"publisher","date_published":"2025-02-24T00:00:00Z","article_number":"69","intvolume":"         8","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","ddc":["550"],"year":"2025","date_updated":"2025-09-30T10:41:20Z","publication":"npj Climate and Atmospheric Science","isi":1,"file_date_updated":"2025-02-24T10:24:12Z","license":"https://creativecommons.org/licenses/by-nc-nd/4.0/","ec_funded":1,"DOAJ_listed":"1","scopus_import":"1","status":"public"},{"oa_version":"Published Version","OA_type":"gold","title":"Sensitivity of self-aggregation and the key role of the free convection distance","date_created":"2025-03-19T07:58:38Z","publication_identifier":{"eissn":["1942-2466"]},"file":[{"file_name":"Casallas_et_al_2025_dclr.pdf","checksum":"bc32677e63f8abb07b330f4a08da796d","creator":"acasalla","relation":"main_file","file_id":"19417","date_updated":"2025-03-19T07:58:21Z","access_level":"open_access","date_created":"2025-03-19T07:58:21Z","file_size":18285343,"content_type":"application/pdf"}],"publication_status":"published","publisher":"Wiley","corr_author":"1","tmp":{"image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode"},"article_processing_charge":"Yes","project":[{"call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413","name":"IST-BRIDGE: International postdoctoral program"},{"grant_number":"805041","_id":"629205d8-2b32-11ec-9570-e1356ff73576","call_identifier":"H2020","name":"Organization of CLoUdS, and implications of Tropical  cyclones and for the Energetics of the tropics, in current and waRming climate"}],"article_type":"original","month":"03","department":[{"_id":"CaMu"}],"author":[{"orcid":"0000-0002-1988-5035","first_name":"Alejandro","id":"92081129-2d75-11ef-a48d-b04dd7a2385a","full_name":"Casallas Garcia, Alejandro","last_name":"Casallas Garcia"},{"first_name":"A.M.","last_name":"Tompkins","full_name":"Tompkins, A.M."},{"orcid":"0000-0001-5836-5350","first_name":"Caroline J","id":"f978ccb0-3f7f-11eb-b193-b0e2bd13182b","full_name":"Muller, Caroline J","last_name":"Muller"},{"first_name":"G.","last_name":"Thompson","full_name":"Thompson, G."}],"volume":17,"acknowledgement":"This article is based on chapter 3 of AC Ph.D. thesis. The authors thank Graziano Giuliani for his coding assistance. We also thank Daniel Hernández-Deckers, Paolina Cerlini, and especially to Giovanni Biagioli for discussions and feedback. We also thank two reviewers for their insightful comments. AC was supported by a fellowship awarded by ICTP and by the European Union Horizon 2020 Marie Skłodowska-Curie grant agreement No. 101034413. CM acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Project CLUSTER, Grant Agreement No. 805041).","doi":"10.1029/2024MS004791","oa":1,"date_published":"2025-03-18T00:00:00Z","OA_place":"publisher","year":"2025","user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","ddc":["550"],"article_number":"e2024MS004791","intvolume":"        17","has_accepted_license":"1","day":"18","citation":{"mla":"Casallas Garcia, Alejandro, et al. “Sensitivity of Self-Aggregation and the Key Role of the Free Convection Distance.” <i>Journal of Advances in Modeling Earth Systems</i>, vol. 17, no. 3, e2024MS004791, Wiley, 2025, doi:<a href=\"https://doi.org/10.1029/2024MS004791\">10.1029/2024MS004791</a>.","ieee":"A. Casallas Garcia, A. M. Tompkins, C. J. Muller, and G. Thompson, “Sensitivity of self-aggregation and the key role of the free convection distance,” <i>Journal of Advances in Modeling Earth Systems</i>, vol. 17, no. 3. Wiley, 2025.","short":"A. Casallas Garcia, A.M. Tompkins, C.J. Muller, G. Thompson, Journal of Advances in Modeling Earth Systems 17 (2025).","apa":"Casallas Garcia, A., Tompkins, A. M., Muller, C. J., &#38; Thompson, G. (2025). Sensitivity of self-aggregation and the key role of the free convection distance. <i>Journal of Advances in Modeling Earth Systems</i>. Wiley. <a href=\"https://doi.org/10.1029/2024MS004791\">https://doi.org/10.1029/2024MS004791</a>","ama":"Casallas Garcia A, Tompkins AM, Muller CJ, Thompson G. Sensitivity of self-aggregation and the key role of the free convection distance. <i>Journal of Advances in Modeling Earth Systems</i>. 2025;17(3). doi:<a href=\"https://doi.org/10.1029/2024MS004791\">10.1029/2024MS004791</a>","ista":"Casallas Garcia A, Tompkins AM, Muller CJ, Thompson G. 2025. Sensitivity of self-aggregation and the key role of the free convection distance. Journal of Advances in Modeling Earth Systems. 17(3), e2024MS004791.","chicago":"Casallas Garcia, Alejandro, A.M. Tompkins, Caroline J Muller, and G. Thompson. “Sensitivity of Self-Aggregation and the Key Role of the Free Convection Distance.” <i>Journal of Advances in Modeling Earth Systems</i>. Wiley, 2025. <a href=\"https://doi.org/10.1029/2024MS004791\">https://doi.org/10.1029/2024MS004791</a>."},"type":"journal_article","quality_controlled":"1","abstract":[{"text":"Recently, Biagioli and Tompkins (2023, https://doi.org/10.1029/2022ms003231) used a simple stochastic model to derive a dimensionless parameter to predict convective self aggregation (SA) development, which was based on the derivation of the maximum free convective distance ($d_{clr}$) expected in the pre-aggregated, random state. Our goal is to test and further investigate this hypothesis, namely that $d_{clr}$ can predict SA occurrence, using an ensemble of twenty-four distinct combinations of horizontal mixing, planetary boundary layer (PBL), and microphysical parameterizations. We conclude that the key impact of parameterization schemes on SA is through their control of the number of convective cores and their relative spacing, $d_{clr}$, which itself is impacted by cold-pool (CP) properties and mean updraft core size. SA is more likely when the convective core count is small, while CPs modify convective spacing via suppression in their interiors and triggering by gust-front convergence and collisions. Each parameterization scheme emphasizes a different mechanism. Subgrid-scale horizontal turbulent mixing mainly affects SA through the determination of convective core size and thus spacing. The sensitivity to the microphysics is mainly through rain evaporation and the subsequent impact on CPs, while perturbations to the ice cloud microphysics have a limited effect. Non-local PBL mixing schemes promote SA primarily by increasing convective inhibition through inversion entrainment and altering low cloud amounts, leading to fewer convective cores and larger $d_{clr}$. ","lang":"eng"}],"_id":"19416","language":[{"iso":"eng"}],"external_id":{"isi":["001447023900001"]},"scopus_import":"1","issue":"3","ec_funded":1,"status":"public","isi":1,"date_updated":"2025-09-30T11:04:38Z","publication":"Journal of Advances in Modeling Earth Systems","file_date_updated":"2025-03-19T07:58:21Z"},{"article_number":"114761","intvolume":"       324","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","ddc":["550"],"year":"2025","date_published":"2025-07-01T00:00:00Z","external_id":{"isi":["001475174300001"]},"abstract":[{"lang":"eng","text":"Air quality in northern South America faces significant challenges due to insufficient high-resolution emission inventories and sparse atmospheric studies. This study addresses these gaps by developing a novel framework that integrates high-resolution nighttime light data from SDGSAT-1 and multisource remote sensing datasets with deep learning techniques to downscale emission inventories. The refined inventories are coupled with meteorological inputs into the Weather Research and Forecasting (WRF-Chem) model, enabling precise simulation of pollutant dynamics. Validated against ground measurements from Colombia's SISAIRE monitoring network, demonstrates significant improvements in spatiotemporal accuracy, particularly for particulate matter (PM) and nitrogen dioxide (NO₂) with error reductions of 22–30 % and correlation coefficients increasing from 0.68 to 0.85. These findings underscore the critical role of satellite-enhanced inventories in resolving localized emission patterns and seasonal variability, such as dry-season PM₁₀ spikes (150 % increase from wildfires). The framework provides policymakers with actionable insights to prioritize mitigation in rapidly urbanizing regions and manage transboundary pollution. By bridging data scarcity gaps, this replicable methodology offers transformative potential for global air quality management and public health protection, advocating for expanded ground monitoring networks and real-time satellite data integration in future applications."}],"_id":"19585","language":[{"iso":"eng"}],"quality_controlled":"1","type":"journal_article","day":"01","citation":{"apa":"Antezana-Lopez, F., Casallas Garcia, A., Zhou, G., Zhang, K., Jing, G., Ali, A., … Jiang, H. (2025). High-resolution anthropogenic emission inventories with deep learning in northern South America. <i>Remote Sensing of Environment</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.rse.2025.114761\">https://doi.org/10.1016/j.rse.2025.114761</a>","mla":"Antezana-Lopez, Franz, et al. “High-Resolution Anthropogenic Emission Inventories with Deep Learning in Northern South America.” <i>Remote Sensing of Environment</i>, vol. 324, 114761, Elsevier, 2025, doi:<a href=\"https://doi.org/10.1016/j.rse.2025.114761\">10.1016/j.rse.2025.114761</a>.","ieee":"F. Antezana-Lopez <i>et al.</i>, “High-resolution anthropogenic emission inventories with deep learning in northern South America,” <i>Remote Sensing of Environment</i>, vol. 324. Elsevier, 2025.","short":"F. Antezana-Lopez, A. Casallas Garcia, G. Zhou, K. Zhang, G. Jing, A. Ali, E. Lopez-Barrera, L.C. Belalcazar, N. Rojas, H. Jiang, Remote Sensing of Environment 324 (2025).","chicago":"Antezana-Lopez, Franz, Alejandro Casallas Garcia, Guanhua Zhou, Kai Zhang, Guifei Jing, Aamir Ali, Ellie Lopez-Barrera, Luis Carlos Belalcazar, Nestor Rojas, and Hongzhi Jiang. “High-Resolution Anthropogenic Emission Inventories with Deep Learning in Northern South America.” <i>Remote Sensing of Environment</i>. Elsevier, 2025. <a href=\"https://doi.org/10.1016/j.rse.2025.114761\">https://doi.org/10.1016/j.rse.2025.114761</a>.","ama":"Antezana-Lopez F, Casallas Garcia A, Zhou G, et al. High-resolution anthropogenic emission inventories with deep learning in northern South America. <i>Remote Sensing of Environment</i>. 2025;324. doi:<a href=\"https://doi.org/10.1016/j.rse.2025.114761\">10.1016/j.rse.2025.114761</a>","ista":"Antezana-Lopez F, Casallas Garcia A, Zhou G, Zhang K, Jing G, Ali A, Lopez-Barrera E, Belalcazar LC, Rojas N, Jiang H. 2025. High-resolution anthropogenic emission inventories with deep learning in northern South America. Remote Sensing of Environment. 324, 114761."},"has_accepted_license":"1","status":"public","ec_funded":1,"scopus_import":"1","publication":"Remote Sensing of Environment","date_updated":"2025-12-30T08:15:35Z","isi":1,"publication_identifier":{"issn":["0034-4257"],"eissn":["1879-0704"]},"title":"High-resolution anthropogenic emission inventories with deep learning in northern South America","date_created":"2025-04-17T09:04:17Z","OA_type":"closed access","oa_version":"None","publication_status":"published","article_processing_charge":"No","publisher":"Elsevier","doi":"10.1016/j.rse.2025.114761","acknowledgement":"This project was supported by the National Natural Science Foundation of China (Grant No. 42471425). The research findings are a component of the SDGSAT-1 Open Science Program, which is conducted by the International Research Center of Big Data for Sustainable Development Goals (CBAS). The data utilized in this study is sourced from SDGSAT-1 and provided by CBAS. Alejandro Casallas was supported by a fellowship awarded by the Abdus Salam International Centre for Theoretical Physics and also by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034413. Ellie López-Barrera was supported by project No. IN.BG.086.24.015 from Universidad Sergio Arboleda.","author":[{"first_name":"Franz","full_name":"Antezana-Lopez, Franz","last_name":"Antezana-Lopez"},{"first_name":"Alejandro","id":"92081129-2d75-11ef-a48d-b04dd7a2385a","orcid":"0000-0002-1988-5035","last_name":"Casallas Garcia","full_name":"Casallas Garcia, Alejandro"},{"first_name":"Guanhua","full_name":"Zhou, Guanhua","last_name":"Zhou"},{"full_name":"Zhang, Kai","last_name":"Zhang","first_name":"Kai"},{"last_name":"Jing","full_name":"Jing, Guifei","first_name":"Guifei"},{"full_name":"Ali, Aamir","last_name":"Ali","first_name":"Aamir"},{"first_name":"Ellie","full_name":"Lopez-Barrera, Ellie","last_name":"Lopez-Barrera"},{"first_name":"Luis Carlos","last_name":"Belalcazar","full_name":"Belalcazar, Luis Carlos"},{"first_name":"Nestor","full_name":"Rojas, Nestor","last_name":"Rojas"},{"first_name":"Hongzhi","full_name":"Jiang, Hongzhi","last_name":"Jiang"}],"volume":324,"department":[{"_id":"CaMu"}],"month":"07","project":[{"call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413","name":"IST-BRIDGE: International postdoctoral program"}],"article_type":"original"},{"file_date_updated":"2024-08-09T13:37:24Z","isi":1,"publication":"Journal of Environmental Management","date_updated":"2025-09-08T08:53:10Z","status":"public","scopus_import":"1","ec_funded":1,"quality_controlled":"1","type":"journal_article","external_id":{"isi":["001289532100001"],"pmid":["39106804"]},"_id":"17396","language":[{"iso":"eng"}],"abstract":[{"text":"Wildfire intensity and severity have been increasing in the Iberian Peninsula in recent years, particularly in the Galicia region, due to rising temperatures and accumulating drier combustible vegetation in unmanaged lands. This leads to substantial emissions of air pollutants, notably fine particles (PM2.5), posing a risk to public health. This study aims to assess the impact of local and regional wildfires on PM2.5 levels in Galicia's main cities and their implications for air quality and public health. Over a decade (2013–2022), PM2.5 data during wildfire seasons were analyzed using statistical methods and Lagrangian tracking to monitor smoke plume evolution. The results reveal a notable increase in PM2.5 concentration during the wildfire season (June–November) in Galicia, surpassing health guidelines during extreme events and posing a significant health risk to the population. Regional wildfire analyses indicate that smoke plumes from Northern Portugal contribute to pollution in Galician cities, influencing the seasonality of heightened PM2.5 levels. During extensive wildfires, elevated PM2.5 concentration values persisted for several days, potentially exacerbating health concerns in Galicia. These findings underscore the urgency of implementing air pollution prevention and management measures in the region, including developing effective alerts for large-scale events and improved wildfire management strategies to mitigate their impact on air quality in Galician cities.","lang":"eng"}],"day":"01","citation":{"short":"C. Quishpe-Vásquez, P. Oliva, E.A. López-Barrera, A. Casallas Garcia, Journal of Environmental Management 367 (2024).","ieee":"C. Quishpe-Vásquez, P. Oliva, E. A. López-Barrera, and A. Casallas Garcia, “Wildfires impact on PM2.5 concentration in galicia Spain,” <i>Journal of Environmental Management</i>, vol. 367. Elsevier, 2024.","mla":"Quishpe-Vásquez, César, et al. “Wildfires Impact on PM2.5 Concentration in Galicia Spain.” <i>Journal of Environmental Management</i>, vol. 367, 122093, Elsevier, 2024, doi:<a href=\"https://doi.org/10.1016/j.jenvman.2024.122093\">10.1016/j.jenvman.2024.122093</a>.","apa":"Quishpe-Vásquez, C., Oliva, P., López-Barrera, E. A., &#38; Casallas Garcia, A. (2024). Wildfires impact on PM2.5 concentration in galicia Spain. <i>Journal of Environmental Management</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jenvman.2024.122093\">https://doi.org/10.1016/j.jenvman.2024.122093</a>","ista":"Quishpe-Vásquez C, Oliva P, López-Barrera EA, Casallas Garcia A. 2024. Wildfires impact on PM2.5 concentration in galicia Spain. Journal of Environmental Management. 367, 122093.","ama":"Quishpe-Vásquez C, Oliva P, López-Barrera EA, Casallas Garcia A. Wildfires impact on PM2.5 concentration in galicia Spain. <i>Journal of Environmental Management</i>. 2024;367. doi:<a href=\"https://doi.org/10.1016/j.jenvman.2024.122093\">10.1016/j.jenvman.2024.122093</a>","chicago":"Quishpe-Vásquez, César, Patricia Oliva, Ellie Anne López-Barrera, and Alejandro Casallas Garcia. “Wildfires Impact on PM2.5 Concentration in Galicia Spain.” <i>Journal of Environmental Management</i>. Elsevier, 2024. <a href=\"https://doi.org/10.1016/j.jenvman.2024.122093\">https://doi.org/10.1016/j.jenvman.2024.122093</a>."},"has_accepted_license":"1","ddc":["550"],"user_id":"317138e5-6ab7-11ef-aa6d-ffef3953e345","year":"2024","article_number":"122093","intvolume":"       367","date_published":"2024-09-01T00:00:00Z","oa":1,"doi":"10.1016/j.jenvman.2024.122093","acknowledgement":"Alejandro Casallas was partially funded by a fellowship from the Abdus Salam International Centre for Theoretical Physics – ICTP. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034413 awarded to Alejandro Casallas. ","month":"09","department":[{"_id":"CaMu"}],"project":[{"name":"IST-BRIDGE: International postdoctoral program","call_identifier":"H2020","_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413"}],"article_type":"original","volume":367,"author":[{"last_name":"Quishpe-Vásquez","full_name":"Quishpe-Vásquez, César","first_name":"César"},{"first_name":"Patricia","last_name":"Oliva","full_name":"Oliva, Patricia"},{"last_name":"López-Barrera","full_name":"López-Barrera, Ellie Anne","first_name":"Ellie Anne"},{"full_name":"Casallas Garcia, Alejandro","last_name":"Casallas Garcia","id":"92081129-2d75-11ef-a48d-b04dd7a2385a","first_name":"Alejandro","orcid":"0000-0002-1988-5035"}],"publisher":"Elsevier","article_processing_charge":"Yes (in subscription journal)","tmp":{"image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)","name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode"},"pmid":1,"publication_status":"published","file":[{"checksum":"6fa476a4c08aded413844d92336b0e52","file_name":"Fires_Galicia_SM.pdf","creator":"acasalla","date_updated":"2024-08-09T13:37:23Z","file_id":"17405","relation":"main_file","access_level":"open_access","success":1,"content_type":"application/pdf","file_size":1595118,"date_created":"2024-08-09T13:37:23Z"},{"file_name":"Fires_Galicia.pdf","checksum":"859dcdef9555c383b702cf8cc7da66f2","relation":"main_file","file_id":"17406","creator":"acasalla","date_updated":"2024-08-09T13:37:24Z","access_level":"open_access","date_created":"2024-08-09T13:37:24Z","file_size":13662676,"content_type":"application/pdf","success":1}],"publication_identifier":{"issn":["0301-4797"]},"oa_version":"Published Version","title":"Wildfires impact on PM2.5 concentration in galicia Spain","date_created":"2024-08-06T05:54:52Z"}]