---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '21311'
abstract:
- lang: eng
  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.'
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).'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Yuri
  full_name: González, Yuri
  last_name: González
- first_name: Nicolás
  full_name: Malagón, Nicolás
  last_name: Malagón
- first_name: Kevin
  full_name: Benavides, Kevin
  last_name: Benavides
- first_name: Luis Carlos
  full_name: Belalcázar, Luis Carlos
  last_name: Belalcázar
- first_name: Ellie Anne
  full_name: Lopez-Barrera, Ellie Anne
  last_name: Lopez-Barrera
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
citation:
  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>
  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>.
  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.
  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.
  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>.
  short: Y. González, N. Malagón, K. Benavides, L.C. Belalcázar, E.A. Lopez-Barrera,
    A. Casallas Garcia, Earth Systems and Environment (2026).
corr_author: '1'
date_created: 2026-02-18T07:11:14Z
date_published: 2026-02-17T00:00:00Z
date_updated: 2026-02-23T11:57:21Z
day: '17'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1007/s41748-026-01068-9
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1007/s41748-026-01068-9
month: '02'
oa: 1
oa_version: Published Version
publication: Earth Systems and Environment
publication_identifier:
  eissn:
  - 2509-9434
  issn:
  - 2509-9426
publication_status: epub_ahead
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spatio-temporal trends of air pollution in six South American cities
tmp:
  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)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2026'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '21344'
abstract:
- lang: eng
  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.
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.
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Daniela
  full_name: Bustos, Daniela
  last_name: Bustos
- first_name: Diana
  full_name: Garcia, Diana
  last_name: Garcia
- first_name: Nestor Y.
  full_name: Rojas, Nestor Y.
  last_name: Rojas
- first_name: Ellie A.
  full_name: Lopez-Barrera, Ellie A.
  last_name: Lopez-Barrera
- first_name: Carlos
  full_name: Peña-Rincon, Carlos
  last_name: Peña-Rincon
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
citation:
  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>'
  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>'
  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>.'
  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.'
  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.'
  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>.'
  short: D. Bustos, D. Garcia, N.Y. Rojas, E.A. Lopez-Barrera, C. Peña-Rincon, A.
    Casallas Garcia, Earth Systems and Environment (2026).
corr_author: '1'
date_created: 2026-02-23T08:26:51Z
date_published: 2026-02-20T00:00:00Z
date_updated: 2026-02-24T08:02:58Z
day: '20'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1007/s41748-026-01052-3
ec_funded: 1
has_accepted_license: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1007/s41748-026-01052-3
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Earth Systems and Environment
publication_identifier:
  eissn:
  - 2509-9434
  issn:
  - 2509-9426
publication_status: epub_ahead
publisher: Springer Nature
quality_controlled: '1'
status: public
title: 'Ozone trends and mortality risk: The growing need for machine learning predictions
  in Bogotá, Colombia'
tmp:
  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)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2026'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '21755'
abstract:
- lang: eng
  text: Tropical shallow clouds are a major source of uncertainty in Earth's climate
    sensitivity, especially through their spatial arrangement, which global climate
    models do not represent. Efforts to understand their organization have partly
    relied on classifying observed scenes, identifying four patterns as archetypal
    regimes. Here we analyze geostationary satellite imagery of the western tropical
    Atlantic using the L‐function, a tool based on point pattern theory that quantifies
    cloud organization across spatial scales. Classical examples of the four patterns
    show distinct L‐function fingerprints, revealing their characteristic clustering
    and regularity scales and aiding physical interpretation. Yet, when evaluating
    many scenes at fixed spatial scales, the L‐function distribution lacks the distinct
    modes expected from discrete regimes. This is corroborated by analyses of other
    organization indices employing diverse approaches, from inter‐cloud nearest‐neighbor
    distances to fractal analysis. Implications for the parameterization of mesoscale
    cloud organization in climate models are discussed.
acknowledgement: GB was supported by an ICTP Postdoctoral Research Fellowship Agreement.
  GM was supported by the CNRS. AC was supported by the European Union's Horizon 2020
  research and innovation programme Marie Sklodowska-Curie Grant agreement No 101034413.
  LJF acknowledges funding from the NERC Doctoral Training Partnership in Environmental
  Research Grant NE/S007474/1. We thank three anonymous reviewers and Jiawei Bao for
  their insightful comments, which greatly improved this manuscript.
article_number: e2025GL119921
article_processing_charge: Yes
article_type: original
author:
- first_name: Giovanni
  full_name: Biagioli, Giovanni
  last_name: Biagioli
- first_name: Giulio
  full_name: Mandorli, Giulio
  last_name: Mandorli
- first_name: Lilli Johanna
  full_name: Freischem, Lilli Johanna
  last_name: Freischem
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
- first_name: Adrian Mark
  full_name: Tompkins, Adrian Mark
  last_name: Tompkins
citation:
  ama: 'Biagioli G, Mandorli G, Freischem LJ, Casallas Garcia A, Tompkins AM. Spatial
    patterns of shallow clouds: Challenging the concept of defined regimes. <i>Geophysical
    Research Letters</i>. 2026;53(8). doi:<a href="https://doi.org/10.1029/2025gl119921">10.1029/2025gl119921</a>'
  apa: 'Biagioli, G., Mandorli, G., Freischem, L. J., Casallas Garcia, A., &#38; Tompkins,
    A. M. (2026). Spatial patterns of shallow clouds: Challenging the concept of defined
    regimes. <i>Geophysical Research Letters</i>. Wiley. <a href="https://doi.org/10.1029/2025gl119921">https://doi.org/10.1029/2025gl119921</a>'
  chicago: 'Biagioli, Giovanni, Giulio Mandorli, Lilli Johanna Freischem, Alejandro
    Casallas Garcia, and Adrian Mark Tompkins. “Spatial Patterns of Shallow Clouds:
    Challenging the Concept of Defined Regimes.” <i>Geophysical Research Letters</i>.
    Wiley, 2026. <a href="https://doi.org/10.1029/2025gl119921">https://doi.org/10.1029/2025gl119921</a>.'
  ieee: 'G. Biagioli, G. Mandorli, L. J. Freischem, A. Casallas Garcia, and A. M.
    Tompkins, “Spatial patterns of shallow clouds: Challenging the concept of defined
    regimes,” <i>Geophysical Research Letters</i>, vol. 53, no. 8. Wiley, 2026.'
  ista: 'Biagioli G, Mandorli G, Freischem LJ, Casallas Garcia A, Tompkins AM. 2026.
    Spatial patterns of shallow clouds: Challenging the concept of defined regimes.
    Geophysical Research Letters. 53(8), e2025GL119921.'
  mla: 'Biagioli, Giovanni, et al. “Spatial Patterns of Shallow Clouds: Challenging
    the Concept of Defined Regimes.” <i>Geophysical Research Letters</i>, vol. 53,
    no. 8, e2025GL119921, Wiley, 2026, doi:<a href="https://doi.org/10.1029/2025gl119921">10.1029/2025gl119921</a>.'
  short: G. Biagioli, G. Mandorli, L.J. Freischem, A. Casallas Garcia, A.M. Tompkins,
    Geophysical Research Letters 53 (2026).
date_created: 2026-04-21T06:04:41Z
date_published: 2026-04-28T00:00:00Z
date_updated: 2026-04-28T13:35:53Z
day: '28'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2025gl119921
ec_funded: 1
file:
- access_level: open_access
  checksum: 2cd4ae120b14b244f5b2f50eaae0efc1
  content_type: application/pdf
  creator: acasalla
  date_created: 2026-04-21T06:07:22Z
  date_updated: 2026-04-21T06:07:22Z
  file_id: '21756'
  file_name: Gio_Casallas_2026.pdf
  file_size: 1544417
  relation: main_file
  success: 1
file_date_updated: 2026-04-21T06:07:22Z
has_accepted_license: '1'
intvolume: '        53'
issue: '8'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Geophysical Research Letters
publication_identifier:
  eissn:
  - 1944-8007
  issn:
  - 0094-8276
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Spatial patterns of shallow clouds: Challenging the concept of defined regimes'
tmp:
  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)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 53
year: '2026'
...
---
OA_place: publisher
OA_type: hybrid
_id: '21217'
abstract:
- lang: eng
  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.
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.
article_number: e70131
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
- first_name: Adrian
  full_name: Mark Tompkins, Adrian
  last_name: Mark Tompkins
- first_name: Caroline J
  full_name: Muller, Caroline J
  id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
  last_name: Muller
  orcid: 0000-0001-5836-5350
citation:
  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;152(777). 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>
  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>.
  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>, vol. 152,
    no. 777. Wiley, 2026.
  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. 152(777), e70131.
  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>, vol. 152, no. 777, e70131, Wiley,
    2026, doi:<a href="https://doi.org/10.1002/qj.70131">10.1002/qj.70131</a>.
  short: A. Casallas Garcia, A. Mark Tompkins, C.J. Muller, Quarterly Journal of the
    Royal Meteorological Society 152 (2026).
corr_author: '1'
das_tickbox: '1'
dataavailabilitystatement: The data that support the findings of this study are available
  from the corresponding author, Alejandro Casallas, upon reasonable request.
date_created: 2026-02-12T10:13:02Z
date_published: 2026-04-01T00:00:00Z
date_updated: 2026-07-27T11:10:50Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1002/qj.70131
ec_funded: 1
file:
- access_level: open_access
  checksum: 3edd5dee1459dcf62973ae501270be8c
  content_type: application/pdf
  creator: dernst
  date_created: 2026-07-27T11:09:24Z
  date_updated: 2026-07-27T11:09:24Z
  file_id: '22419'
  file_name: 2026_QuarterlyJourRoyalMeteorolSoc_Casallas.pdf
  file_size: 11133215
  relation: main_file
  success: 1
file_date_updated: 2026-07-27T11:09:24Z
has_accepted_license: '1'
intvolume: '       152'
issue: '777'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '04'
oa: 1
oa_version: Published Version
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
- _id: 629205d8-2b32-11ec-9570-e1356ff73576
  call_identifier: H2020
  grant_number: '805041'
  name: Organization of CLoUdS, and implications of Tropical  cyclones and for the
    Energetics of the tropics, in current and waRming climate
publication: Quarterly Journal of the Royal Meteorological Society
publication_identifier:
  eissn:
  - 1477-870X
  issn:
  - 0035-9009
publication_status: published
publisher: Wiley
quality_controlled: '1'
researchdata_availability: upon request
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Moisture and wind effects of Rossby waves on Western Pacific Intertropical
  Convergence Zone breakdown events
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  short: CC BY-NC (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 152
year: '2026'
...
---
OA_type: closed access
_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.'
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).
article_number: 5c08400
article_processing_charge: No
article_type: original
author:
- first_name: Sergio
  full_name: Ibarra-Espinosa, Sergio
  last_name: Ibarra-Espinosa
- first_name: Edmilson
  full_name: Dias de Freitas, Edmilson
  last_name: Dias de Freitas
- first_name: Benjamin
  full_name: Gaubert, Benjamin
  last_name: Gaubert
- first_name: Pablo
  full_name: Lichtig, Pablo
  last_name: Lichtig
- first_name: Karl
  full_name: Ropkins, Karl
  last_name: Ropkins
- first_name: Iara
  full_name: da Silva, Iara
  last_name: da Silva
- first_name: Guilherme
  full_name: Martins Pereira, Guilherme
  last_name: Martins Pereira
- first_name: Daniel
  full_name: Schuch, Daniel
  last_name: Schuch
- first_name: Janaina
  full_name: Nascimento, Janaina
  last_name: Nascimento
- first_name: Leonardo
  full_name: Hoinaski, Leonardo
  last_name: Hoinaski
- first_name: Leila Droprinchinski
  full_name: Martins, Leila Droprinchinski
  last_name: Martins
- first_name: Mario
  full_name: Gavidia-Calderón, Mario
  last_name: Gavidia-Calderón
- first_name: Angel
  full_name: Vara-Vela, Angel
  last_name: Vara-Vela
- first_name: Taciana
  full_name: Toledo de Almeida Albuquerque, Taciana
  last_name: Toledo de Almeida Albuquerque
- first_name: Rita Yuri
  full_name: Ynoue, Rita Yuri
  last_name: Ynoue
- first_name: Sebastian
  full_name: Diez, Sebastian
  last_name: Diez
- first_name: Zamir
  full_name: Mera, Zamir
  last_name: Mera
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
- first_name: Fidel
  full_name: Vallejo, Fidel
  last_name: Vallejo
- first_name: Valeria
  full_name: Diaz, Valeria
  last_name: Diaz
- first_name: Rizzieri
  full_name: Pedruzzi, Rizzieri
  last_name: Pedruzzi
- first_name: Rosana
  full_name: Abrutzky, Rosana
  last_name: Abrutzky
- first_name: Marco A.
  full_name: Franco, Marco A.
  last_name: Franco
- first_name: Nicolas
  full_name: Huneeus, Nicolas
  last_name: Huneeus
- 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
  full_name: de Fatima Andrade, Maria
  last_name: de Fatima Andrade
- first_name: Louisa
  full_name: Emmons, Louisa
  last_name: Emmons
- first_name: Guy
  full_name: Brasseur, Guy
  last_name: Brasseur
citation:
  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;60(6). doi:<a href="https://doi.org/10.1021/acs.est.5c08400">10.1021/acs.est.5c08400</a>'
  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>'
  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>.'
  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>, vol. 60, no. 6. American Chemical Society, 2026.'
  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. 60(6), 5c08400.'
  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>, vol. 60, no. 6, 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
    60 (2026).
das_tickbox: '1'
dataavailabilitystatement: Scripts available here https://github.com/ibarraespinosa/musica_vein
  and here https://github.com/atmoschem/vein.
date_created: 2026-02-09T06:54:10Z
date_published: 2026-02-17T00:00:00Z
date_updated: 2026-07-28T07:03:54Z
day: '17'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1021/acs.est.5c08400
ec_funded: 1
external_id:
  pmid:
  - '41636708'
has_accepted_license: '1'
intvolume: '        60'
issue: '6'
language:
- iso: eng
month: '02'
oa_version: None
pmid: 1
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Environmental Science &amp; Technology
publication_identifier:
  eissn:
  - 1520-5851
  issn:
  - 0013-936X
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: yes
title: 'A century of vehicular emissions in Brazil: Unveiling the impacts of unique
  fuel mix on air quality'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 60
year: '2026'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '19080'
abstract:
- lang: eng
  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.
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_number: '69'
article_processing_charge: Yes
article_type: original
author:
- first_name: Adrian Mike
  full_name: Tompkins, Adrian Mike
  last_name: Tompkins
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
- first_name: Michie Vianca
  full_name: De Vera, Michie Vianca
  last_name: De Vera
citation:
  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>
  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>
  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>.
  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.
  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.
  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>.
  short: A.M. Tompkins, A. Casallas Garcia, M.V. De Vera, Npj Climate and Atmospheric
    Science 8 (2025).
corr_author: '1'
date_created: 2025-02-24T10:18:50Z
date_published: 2025-02-24T00:00:00Z
date_updated: 2025-09-30T10:41:20Z
day: '24'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1038/s41612-024-00848-2
ec_funded: 1
external_id:
  isi:
  - '001432282900002'
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has_accepted_license: '1'
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language:
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license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: npj Climate and Atmospheric Science
publication_identifier:
  eissn:
  - 2397-3722
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Drivers of mesoscale convective aggregation and spatial humidity variability
  in the tropical western Pacific
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
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type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 8
year: '2025'
...
---
OA_place: publisher
OA_type: gold
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abstract:
- lang: eng
  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 $d_{clr}$. '
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).
article_number: e2024MS004791
article_processing_charge: Yes
article_type: original
author:
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
- first_name: A.M.
  full_name: Tompkins, A.M.
  last_name: Tompkins
- first_name: Caroline J
  full_name: Muller, Caroline J
  id: f978ccb0-3f7f-11eb-b193-b0e2bd13182b
  last_name: Muller
  orcid: 0000-0001-5836-5350
- first_name: G.
  full_name: Thompson, G.
  last_name: Thompson
citation:
  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>
  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>
  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>.
  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.
  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.
  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>.
  short: A. Casallas Garcia, A.M. Tompkins, C.J. Muller, G. Thompson, Journal of Advances
    in Modeling Earth Systems 17 (2025).
corr_author: '1'
date_created: 2025-03-19T07:58:38Z
date_published: 2025-03-18T00:00:00Z
date_updated: 2025-09-30T11:04:38Z
day: '18'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1029/2024MS004791
ec_funded: 1
external_id:
  isi:
  - '001447023900001'
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  checksum: bc32677e63f8abb07b330f4a08da796d
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  date_created: 2025-03-19T07:58:21Z
  date_updated: 2025-03-19T07:58:21Z
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has_accepted_license: '1'
intvolume: '        17'
isi: 1
issue: '3'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
- _id: 629205d8-2b32-11ec-9570-e1356ff73576
  call_identifier: H2020
  grant_number: '805041'
  name: Organization of CLoUdS, and implications of Tropical  cyclones and for the
    Energetics of the tropics, in current and waRming climate
publication: Journal of Advances in Modeling Earth Systems
publication_identifier:
  eissn:
  - 1942-2466
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: Sensitivity of self-aggregation and the key role of the free convection distance
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 17
year: '2025'
...
---
OA_type: closed access
_id: '19585'
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.
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.
article_number: '114761'
article_processing_charge: No
article_type: original
author:
- first_name: Franz
  full_name: Antezana-Lopez, Franz
  last_name: Antezana-Lopez
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
- first_name: Guanhua
  full_name: Zhou, Guanhua
  last_name: Zhou
- first_name: Kai
  full_name: Zhang, Kai
  last_name: Zhang
- first_name: Guifei
  full_name: Jing, Guifei
  last_name: Jing
- first_name: Aamir
  full_name: Ali, Aamir
  last_name: Ali
- first_name: Ellie
  full_name: Lopez-Barrera, Ellie
  last_name: Lopez-Barrera
- first_name: Luis Carlos
  full_name: Belalcazar, Luis Carlos
  last_name: Belalcazar
- first_name: Nestor
  full_name: Rojas, Nestor
  last_name: Rojas
- first_name: Hongzhi
  full_name: Jiang, Hongzhi
  last_name: Jiang
citation:
  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>
  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>
  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>.
  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.
  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.
  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>.
  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).
date_created: 2025-04-17T09:04:17Z
date_published: 2025-07-01T00:00:00Z
date_updated: 2025-12-30T08:15:35Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1016/j.rse.2025.114761
ec_funded: 1
external_id:
  isi:
  - '001475174300001'
has_accepted_license: '1'
intvolume: '       324'
isi: 1
language:
- iso: eng
month: '07'
oa_version: None
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Remote Sensing of Environment
publication_identifier:
  eissn:
  - 1879-0704
  issn:
  - 0034-4257
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: High-resolution anthropogenic emission inventories with deep learning in northern
  South America
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 324
year: '2025'
...
---
OA_type: closed access
_id: '19968'
abstract:
- lang: eng
  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.
article_processing_charge: No
author:
- first_name: Carlos
  full_name: Plata, Carlos
  last_name: Plata
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
citation:
  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>'
  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>'
  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>.
  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.
  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.'
  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>.
  short: C. Plata, A. Casallas Garcia, in:, 85th Annual Meeting of the Academy of
    Management, Academy of Management, 2025.
conference:
  end_date: 2025-07-29
  location: Copenhagen, Denmark
  name: 'AOM: Annual Meeting of the Academy of Management'
  start_date: 2025-07-25
date_created: 2025-07-06T22:01:23Z
date_published: 2025-06-17T00:00:00Z
date_updated: 2025-09-09T08:39:03Z
day: '17'
department:
- _id: CaMu
doi: 10.5465/AMPROC.2025.54bp
intvolume: '      2025'
issue: '1'
language:
- iso: eng
month: '06'
oa_version: None
publication: 85th Annual Meeting of the Academy of Management
publication_identifier:
  eissn:
  - 2151-6561
  issn:
  - 0065-0668
publication_status: published
publisher: Academy of Management
quality_controlled: '1'
scopus_import: '1'
status: public
title: Machine learning analysis of the factors influencing university-industry collaborations
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2025
year: '2025'
...
---
_id: '17396'
abstract:
- lang: eng
  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.
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. '
article_number: '122093'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: César
  full_name: Quishpe-Vásquez, César
  last_name: Quishpe-Vásquez
- first_name: Patricia
  full_name: Oliva, Patricia
  last_name: Oliva
- first_name: Ellie Anne
  full_name: López-Barrera, Ellie Anne
  last_name: López-Barrera
- first_name: Alejandro
  full_name: Casallas Garcia, Alejandro
  id: 92081129-2d75-11ef-a48d-b04dd7a2385a
  last_name: Casallas Garcia
  orcid: 0000-0002-1988-5035
citation:
  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>
  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>
  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>.
  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.
  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.
  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>.
  short: C. Quishpe-Vásquez, P. Oliva, E.A. López-Barrera, A. Casallas Garcia, Journal
    of Environmental Management 367 (2024).
date_created: 2024-08-06T05:54:52Z
date_published: 2024-09-01T00:00:00Z
date_updated: 2025-09-08T08:53:10Z
day: '01'
ddc:
- '550'
department:
- _id: CaMu
doi: 10.1016/j.jenvman.2024.122093
ec_funded: 1
external_id:
  isi:
  - '001289532100001'
  pmid:
  - '39106804'
file:
- access_level: open_access
  checksum: 6fa476a4c08aded413844d92336b0e52
  content_type: application/pdf
  creator: acasalla
  date_created: 2024-08-09T13:37:23Z
  date_updated: 2024-08-09T13:37:23Z
  file_id: '17405'
  file_name: Fires_Galicia_SM.pdf
  file_size: 1595118
  relation: main_file
  success: 1
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  creator: acasalla
  date_created: 2024-08-09T13:37:24Z
  date_updated: 2024-08-09T13:37:24Z
  file_id: '17406'
  file_name: Fires_Galicia.pdf
  file_size: 13662676
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  success: 1
file_date_updated: 2024-08-09T13:37:24Z
has_accepted_license: '1'
intvolume: '       367'
isi: 1
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c
  call_identifier: H2020
  grant_number: '101034413'
  name: 'IST-BRIDGE: International postdoctoral program'
publication: Journal of Environmental Management
publication_identifier:
  issn:
  - 0301-4797
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Wildfires impact on PM2.5 concentration in galicia Spain
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 367
year: '2024'
...