--- DOAJ_listed: '1' OA_place: publisher OA_type: gold PlanS_conform: '1' _id: '21013' abstract: - lang: eng text: We have addressed convective self‐aggregation (CSA) in steady and oscillating sea surface temperature (SST) and solar radiation (SOLIN) cloud‐resolving model simulations in a non‐rotating radiative‐convective equilibrium (RCE) framework. Our experiment designs are motivated by land‐ocean heterogeneity of atmospheric convection. The steady and oscillating forcings are idealizations of ocean and land conditions, respectively, based on their differences in heat capacities. In both kinds of simulations, the diurnal mean SST and SOLIN are the same, and both SST and SOLIN are only varied in time (i.e., they are spatially homogeneous at any given time). We find that diurnally oscillating forcing accelerates CSA. Stronger long‐wave cooling in dry regions at night and during the warm SST phase (late afternoon) both allow the long‐wave feedback, known to favor aggregation, to intensify compared to steady forcing simulations. In addition to the long‐wave, reduced short‐wave warming in dry regions (during the day) further enhances radiative cooling there compared to moist regions. Overall, the radiative cooling is enhanced in dry regions compared to neighboring moist convective regions. A dry subsidence is driven by this net radiative (short‐wave plus long‐wave) cooling, consistent with earlier work on CSA. Stronger radiative cooling allows stronger subsidence which allows low‐level circulation to more efficiently transport moisture and energy up‐gradient, driving convection to aggregate faster. We also note a sensitivity of our experimental setup to initial conditions, more so at warmer SST. This stochastic behavior might be critical in reconciling the differences of opinion regarding the response of convection aggregation to oscillating SST forcing. acknowledged_ssus: - _id: ScienComp acknowledgement: The authors gratefully acknowledge funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Project CLUSTER, Grant Agreement No. 805041). This research was supported by the Scientific Service Units (SSU) of ISTA through resources provided by Scientific Computing (SciComp). We are grateful to three anonymous reviewer(s) for their insightful suggestions that have improved the quality of our manuscript. Open Access funding provided by Institute of Science and Technology Austria/KEMÖ. article_number: e2024MS004576 article_processing_charge: Yes article_type: original author: - first_name: BIDYUT B full_name: GOSWAMI, BIDYUT B id: 3a4ac09c-6d61-11ec-bf66-884cde66b64b last_name: GOSWAMI orcid: 0000-0001-8602-3083 - first_name: Ziyin full_name: Lu, Ziyin id: a6e549c6-8972-11ed-ae7b-a336d97ac043 last_name: Lu orcid: 0009-0008-5320-7730 - 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: GOSWAMI BB, Lu Z, Muller CJ. Convective self‐aggregation in diurnally oscillating sea surface temperature and solar forcing experiments. Journal of Advances in Modeling Earth Systems. 2026;18(1). doi:10.1029/2024ms004576 apa: GOSWAMI, B. B., Lu, Z., & Muller, C. J. (2026). Convective self‐aggregation in diurnally oscillating sea surface temperature and solar forcing experiments. Journal of Advances in Modeling Earth Systems. Wiley. https://doi.org/10.1029/2024ms004576 chicago: GOSWAMI, BIDYUT B, Ziyin Lu, and Caroline J Muller. “Convective Self‐aggregation in Diurnally Oscillating Sea Surface Temperature and Solar Forcing Experiments.” Journal of Advances in Modeling Earth Systems. Wiley, 2026. https://doi.org/10.1029/2024ms004576. ieee: B. B. GOSWAMI, Z. Lu, and C. J. Muller, “Convective self‐aggregation in diurnally oscillating sea surface temperature and solar forcing experiments,” Journal of Advances in Modeling Earth Systems, vol. 18, no. 1. Wiley, 2026. ista: GOSWAMI BB, Lu Z, Muller CJ. 2026. Convective self‐aggregation in diurnally oscillating sea surface temperature and solar forcing experiments. Journal of Advances in Modeling Earth Systems. 18(1), e2024MS004576. mla: GOSWAMI, BIDYUT B., et al. “Convective Self‐aggregation in Diurnally Oscillating Sea Surface Temperature and Solar Forcing Experiments.” Journal of Advances in Modeling Earth Systems, vol. 18, no. 1, e2024MS004576, Wiley, 2026, doi:10.1029/2024ms004576. short: B.B. GOSWAMI, Z. Lu, C.J. Muller, Journal of Advances in Modeling Earth Systems 18 (2026). corr_author: '1' date_created: 2026-01-20T10:08:54Z date_published: 2026-01-12T00:00:00Z date_updated: 2026-01-21T08:41:19Z day: '12' ddc: - '550' department: - _id: CaMu - _id: BjHo - _id: GradSch doi: 10.1029/2024ms004576 ec_funded: 1 file: - access_level: open_access checksum: 6ea369e3b46bea58efab4f38b6c671a7 content_type: application/pdf creator: dernst date_created: 2026-01-21T08:39:01Z date_updated: 2026-01-21T08:39:01Z file_id: '21027' file_name: 2026_JAMES_Goswami.pdf file_size: 19509786 relation: main_file success: 1 file_date_updated: 2026-01-21T08:39:01Z has_accepted_license: '1' intvolume: ' 18' issue: '1' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/4.0/ month: '01' oa: 1 oa_version: Published Version project: - _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: Convective self‐aggregation in diurnally oscillating sea surface temperature and solar forcing experiments 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 18 year: '2026' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '21035' abstract: - lang: eng text: According to the scientific consensus, tropical convection must decrease with global warming. This decrease is manifested by a decrease of the mass transported in the upward branch of the atmospheric overturning circulation – the convective mass flux – and a connected decrease of high clouds in the tropics, with implications for climate sensitivity. By using kilometer-scale simulations in radiative-convective equilibrium and a convective tracking algorithm, we show that no such decrease occurs in storms when taken individually and that the mass transport per storm increases instead. Storms can achieve this result by aggregating more surface of the convective cores – the inner part of the storm doing the vertical transport – so that the decrease of tropical convection is actually explained by a decrease in the total number of storms. There is little variation of the mean pressure velocity in the cores of the storms, a robust finding of this study. This remarkable invariance of the mean pressure velocity points to an emerging property of convection that should receive more attention in future studies. acknowledgement: We thank Sophie Cloché for her support with the handling of the various datasets. This study benefited from the IPSL mesocenter ESPRI facility which is supported by CNRS, UPMC, Labex L-IPSL, CNES and Ecole Polytechnique. The authors acknowledge the CNES and CNRS support under the Megha-Tropiques program. C.M. gratefully 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: '14' article_processing_charge: Yes article_type: original author: - first_name: Maximilien full_name: Bolot, Maximilien last_name: Bolot - first_name: Rémy full_name: Roca, Rémy last_name: Roca - first_name: Thomas full_name: Fiolleau, Thomas last_name: Fiolleau - 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: Bolot M, Roca R, Fiolleau T, Muller CJ. No decrease of tropical convection in individual deep convective systems with global warming. npj Climate and Atmospheric Science. 2026;9. doi:10.1038/s41612-025-01285-5 apa: Bolot, M., Roca, R., Fiolleau, T., & Muller, C. J. (2026). No decrease of tropical convection in individual deep convective systems with global warming. Npj Climate and Atmospheric Science. Springer Nature. https://doi.org/10.1038/s41612-025-01285-5 chicago: Bolot, Maximilien, Rémy Roca, Thomas Fiolleau, and Caroline J Muller. “No Decrease of Tropical Convection in Individual Deep Convective Systems with Global Warming.” Npj Climate and Atmospheric Science. Springer Nature, 2026. https://doi.org/10.1038/s41612-025-01285-5. ieee: M. Bolot, R. Roca, T. Fiolleau, and C. J. Muller, “No decrease of tropical convection in individual deep convective systems with global warming,” npj Climate and Atmospheric Science, vol. 9. Springer Nature, 2026. ista: Bolot M, Roca R, Fiolleau T, Muller CJ. 2026. No decrease of tropical convection in individual deep convective systems with global warming. npj Climate and Atmospheric Science. 9, 14. mla: Bolot, Maximilien, et al. “No Decrease of Tropical Convection in Individual Deep Convective Systems with Global Warming.” Npj Climate and Atmospheric Science, vol. 9, 14, Springer Nature, 2026, doi:10.1038/s41612-025-01285-5. short: M. Bolot, R. Roca, T. Fiolleau, C.J. Muller, Npj Climate and Atmospheric Science 9 (2026). date_created: 2026-01-25T23:01:38Z date_published: 2026-01-15T00:00:00Z date_updated: 2026-02-12T08:41:09Z day: '15' ddc: - '550' department: - _id: CaMu doi: 10.1038/s41612-025-01285-5 ec_funded: 1 external_id: pmid: - '41550270' file: - access_level: open_access checksum: c433bba3822b3c6c4a5260ad5e2429a0 content_type: application/pdf creator: dernst date_created: 2026-02-12T08:39:27Z date_updated: 2026-02-12T08:39:27Z file_id: '21215' file_name: 2026_njpClimateAtmScience_Bolot.pdf file_size: 511226 relation: main_file success: 1 file_date_updated: 2026-02-12T08:39:27Z has_accepted_license: '1' intvolume: ' 9' language: - iso: eng month: '01' oa: 1 oa_version: Published Version pmid: 1 project: - _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: 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: No decrease of tropical convection in individual deep convective systems with global warming 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 9 year: '2026' ... --- _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. Environmental Science &amp; Technology. 2026. doi:10.1021/acs.est.5c08400' 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. Environmental Science &amp; Technology. American Chemical Society. https://doi.org/10.1021/acs.est.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.” Environmental Science &amp; Technology. American Chemical Society, 2026. https://doi.org/10.1021/acs.est.5c08400.' ieee: 'S. Ibarra-Espinosa et al., “A century of vehicular emissions in Brazil: Unveiling the impacts of unique fuel mix on air quality,” Environmental Science &amp; Technology. 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 &amp; Technology., 5c08400.' mla: 'Ibarra-Espinosa, Sergio, et al. “A Century of Vehicular Emissions in Brazil: Unveiling the Impacts of Unique Fuel Mix on Air Quality.” Environmental Science &amp; Technology, 5c08400, American Chemical Society, 2026, doi:10.1021/acs.est.5c08400.' 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 &amp; Technology (2026). date_created: 2026-02-09T06:54:10Z date_published: 2026-02-04T00:00:00Z date_updated: 2026-02-16T10:33:07Z day: '04' ddc: - '550' department: - _id: CaMu doi: 10.1021/acs.est.5c08400 ec_funded: 1 external_id: pmid: - '41636708' has_accepted_license: '1' 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 & Technology publication_identifier: eissn: - 1520-5851 issn: - 0013-936X publication_status: epub_ahead publisher: American Chemical Society quality_controlled: '1' scopus_import: '1' status: public 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 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. Quarterly Journal of the Royal Meteorological Society. 2026. doi:10.1002/qj.70131 apa: Casallas Garcia, A., Mark Tompkins, A., & Muller, C. J. (2026). Moisture and wind effects of Rossby waves on Western Pacific Intertropical Convergence Zone breakdown events. Quarterly Journal of the Royal Meteorological Society. Wiley. https://doi.org/10.1002/qj.70131 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.” Quarterly Journal of the Royal Meteorological Society. Wiley, 2026. https://doi.org/10.1002/qj.70131. 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,” Quarterly Journal of the Royal Meteorological Society. 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., e70131. mla: Casallas Garcia, Alejandro, et al. “Moisture and Wind Effects of Rossby Waves on Western Pacific Intertropical Convergence Zone Breakdown Events.” Quarterly Journal of the Royal Meteorological Society, e70131, Wiley, 2026, doi:10.1002/qj.70131. short: A. Casallas Garcia, A. Mark Tompkins, C.J. Muller, Quarterly Journal of the Royal Meteorological Society (2026). corr_author: '1' date_created: 2026-02-12T10:13:02Z date_published: 2026-02-12T00:00:00Z date_updated: 2026-02-16T10:19:52Z day: '12' ddc: - '550' department: - _id: CaMu doi: 10.1002/qj.70131 ec_funded: 1 has_accepted_license: '1' language: - iso: eng license: https://creativecommons.org/licenses/by-nc/4.0/ main_file_link: - open_access: '1' url: https://doi.org/10.1002/qj.70131 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' - _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: epub_ahead publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: Moisture and wind effects of Rossby waves on Western Pacific Intertropical Convergence Zone breakdown events 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2026' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold PlanS_conform: '1' _id: '21233' abstract: - lang: eng text: Potential self-perpetuating dieback of the Amazon rain forest has been a topic of concern. The concern is that initial deforestation could critically impair the forest’s water recycling capacities, further harming the remaining forest through reduced annual precipitation. Many studies have focused on annual mean precipitation changes, due to its widespread perception as a central control on the Amazon rain forest’s stability. However, the impact of deforestation goes beyond changes in the annual mean precipitation. Yet, global coarse-resolution climate models are not well suited to investigate changes in short-duration and localized events due to their coarse resolution. Here, we circumvent these issues by analyzing a full-deforestation scenario simulated by a global storm-resolving model. We focus on changes in the tail of the hourly distribution of precipitation, temperature, and wind. Hourly precipitation becomes more extreme in the absence of the forest than in an intact forest, with an increased occurrence of both no rain and intense rainfall. These changes are driven by enhanced moisture convergence that strengthens vertical velocity. On average, the near-surface temperature rises significantly by about 3.84 °C, and the daily minimum temperature after deforestation becomes similar to the daily maximum temperature before deforestation. Except for wet-bulb temperature, human heat stress indicators shift to more severe levels, with implications for health and a significant reduction in work productivity. Finally, the mean 10 m wind speed intensifies by a factor of four, with the 99th percentile wind speed doubling. To summarize, our findings, while based on an idealized case, provide a stark warning of the effects of continuing deforestation of the Amazon. acknowledgement: AY acknowledges funding by the CLICCS centre of excellence subproject A3 funded by DFG. We thank the German Climate Computing Center DKRZ for providing computing resources and the Integrated Climate Data Center (ICDC), the Center for Earth System Research and Sustainability (CEN), University of Hamburg, for supporting the IMERG data. In addition, we would like to thank Jana Sillmann for suggesting the analysis of heat stress indices and Keno Riechers for providing a thorough internal review of the initial manuscript at the Max Planck Institute for Meteorology. Open Access funding is enabled and organized by Projekt DEAL. This research has been supported by the Deutsche Forschungsgemeinschaft (grant no. CLICCS 390683824 (A3)). The article processing charges for this open-access publication were covered by the Max Planck Society. article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Arim full_name: Yoon, Arim last_name: Yoon - first_name: Cathy full_name: Hohenegger, Cathy last_name: Hohenegger - first_name: Jiawei full_name: Bao, Jiawei id: bb9a7399-fefd-11ed-be3c-ae648fd1d160 last_name: Bao - first_name: Lukas full_name: Brunner, Lukas last_name: Brunner citation: ama: Yoon A, Hohenegger C, Bao J, Brunner L. Extreme events in the Amazon after deforestation. Earth System Dynamics. 2026;17(1):167-179. doi:10.5194/esd-17-167-2026 apa: Yoon, A., Hohenegger, C., Bao, J., & Brunner, L. (2026). Extreme events in the Amazon after deforestation. Earth System Dynamics. Copernicus GmbH. https://doi.org/10.5194/esd-17-167-2026 chicago: Yoon, Arim, Cathy Hohenegger, Jiawei Bao, and Lukas Brunner. “Extreme Events in the Amazon after Deforestation.” Earth System Dynamics. Copernicus GmbH, 2026. https://doi.org/10.5194/esd-17-167-2026. ieee: A. Yoon, C. Hohenegger, J. Bao, and L. Brunner, “Extreme events in the Amazon after deforestation,” Earth System Dynamics, vol. 17, no. 1. Copernicus GmbH, pp. 167–179, 2026. ista: Yoon A, Hohenegger C, Bao J, Brunner L. 2026. Extreme events in the Amazon after deforestation. Earth System Dynamics. 17(1), 167–179. mla: Yoon, Arim, et al. “Extreme Events in the Amazon after Deforestation.” Earth System Dynamics, vol. 17, no. 1, Copernicus GmbH, 2026, pp. 167–79, doi:10.5194/esd-17-167-2026. short: A. Yoon, C. Hohenegger, J. Bao, L. Brunner, Earth System Dynamics 17 (2026) 167–179. date_created: 2026-02-16T10:44:58Z date_published: 2026-02-04T00:00:00Z date_updated: 2026-02-23T10:28:48Z day: '04' ddc: - '550' department: - _id: CaMu doi: 10.5194/esd-17-167-2026 file: - access_level: open_access checksum: 6c3669c463731ad7c484b2990eb8ee0d content_type: application/pdf creator: dernst date_created: 2026-02-23T10:26:29Z date_updated: 2026-02-23T10:26:29Z file_id: '21348' file_name: 2026_EarthSystDynam_Yoon.pdf file_size: 2068229 relation: main_file success: 1 file_date_updated: 2026-02-23T10:26:29Z has_accepted_license: '1' intvolume: ' 17' issue: '1' language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: 167-179 publication: Earth System Dynamics publication_identifier: eissn: - 2190-4987 publication_status: published publisher: Copernicus GmbH quality_controlled: '1' scopus_import: '1' status: public title: Extreme events in the Amazon after deforestation 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: 17 year: '2026' ... --- 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. Earth Systems and Environment. 2026. doi:10.1007/s41748-026-01068-9 apa: González, Y., Malagón, N., Benavides, K., Belalcázar, L. C., Lopez-Barrera, E. A., & Casallas Garcia, A. (2026). Spatio-temporal trends of air pollution in six South American cities. Earth Systems and Environment. Springer Nature. https://doi.org/10.1007/s41748-026-01068-9 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.” Earth Systems and Environment. Springer Nature, 2026. https://doi.org/10.1007/s41748-026-01068-9. 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,” Earth Systems and Environment. 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.” Earth Systems and Environment, Springer Nature, 2026, doi:10.1007/s41748-026-01068-9. 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 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. Earth Systems and Environment. 2026. doi:10.1007/s41748-026-01052-3' apa: 'Bustos, D., Garcia, D., Rojas, N. Y., Lopez-Barrera, E. A., 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. Springer Nature. https://doi.org/10.1007/s41748-026-01052-3' 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.” Earth Systems and Environment. Springer Nature, 2026. https://doi.org/10.1007/s41748-026-01052-3.' 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,” Earth Systems and Environment. 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.” Earth Systems and Environment, Springer Nature, 2026, doi:10.1007/s41748-026-01052-3.' 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 _id: '21657' abstract: - lang: eng text: We compare three global kilometer-scale models (ICON, IFS and NICAM) to clarify the advantages and challenges of high-resolution global weather and climate modeling, using different approaches to represent convection, from fully parameterized to fully explicit. Our analysis focuses on tropical precipitation characteristics spanning a wide range of spatio-temporal scales—including the diurnal cycle, extreme precipitation, convective organization, and the Madden-Julian Oscillation (MJO)—along with interactions between convection and the thermodynamic environment. All three models commonly show weaker convective organization with smaller precipitation cells than observed, though the strength of the bias varies by model. This diversity is introduced by differences in the representation of (a) convective initiation affected by the convective sensitivity to moisture and (b) tropospheric moistening associated with deep convection. Models with stronger thermodynamic-convection coupling increase environmental moisture near convection, thereby enhancing convective organization. This has important upscale effects on the MJO; while IFS and NICAM capture its eastward propagation well, ICON has difficulty reproducing it. The amplitudes and phases of precipitation diurnal cycles over land show much greater disagreement among the models than over ocean, influenced by how convection is initiated. Biases in rain evaporation and cold pool formation hinder the propagation of mesoscale convection, leading to errors such as the misrepresentation of nocturnal convection moving off the coast of Sumatra in IFS and ICON. These results highlight the importance of thermodynamic-convection coupling in realistically simulating tropical convection across scales. To improve this coupling, kilometer-scale models require better representation of the interaction between resolved convection and three-dimensional turbulent mixing. acknowledgement: 'We thank Peter Bechtold, Lukas Brunner, Peter Dueben, Richard Forbes, Estibaliz Gascon, and Benoit Vanniere for providing insightful comments on the present study. We also thank Sebastian Milinski, Xabier Pedruzo and Thomas Rackow for their contributions to setting up IFS-FESOM for nextGEMS. We are also grateful to Dr. Walter Hannah and an anonymous reviewer for their constructive comments, which improved the original version of the manuscript. D. Takasuka was supported by JSPS KAKENHI Grants 20H05728 and 24K22893 and by JSPS Core-to-Core Program, “International Core-to-Core Project on Global Storm Resolving Analysis” (Grant Number: JPJSCCA20220001). T. Becker was supported by the Horizon 2020 project nextGEMS under grant agreement number 101003470. J. Bao acknowledges funding from the European Union''s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant (grant agreement No 101034413). The ICON and IFS simulations were performed with supercomputing resources of the German Climate Computing Centre (Deutsches Klimarechenzentrum, DKRZ) granted by its Scientific Steering Committee (WLA) under project ID 1235. The NICAM simulation was performed on the supercomputer Fugaku (proposal numbers hp220132, hp230078, hp230108, hp230278, and hp240267).' article_number: e2025MS005343 article_processing_charge: Yes article_type: original author: - first_name: Daisuke full_name: Takasuka, Daisuke last_name: Takasuka - first_name: Tobias full_name: Becker, Tobias last_name: Becker - first_name: Jiawei full_name: Bao, Jiawei id: bb9a7399-fefd-11ed-be3c-ae648fd1d160 last_name: Bao citation: ama: Takasuka D, Becker T, Bao J. Precipitation characteristics and thermodynamic-convection coupling in global kilometer-scale simulations. Journal of Advances in Modeling Earth Systems. 2026;18(3). doi:10.1029/2025MS005343 apa: Takasuka, D., Becker, T., & Bao, J. (2026). Precipitation characteristics and thermodynamic-convection coupling in global kilometer-scale simulations. Journal of Advances in Modeling Earth Systems. Wiley. https://doi.org/10.1029/2025MS005343 chicago: Takasuka, Daisuke, Tobias Becker, and Jiawei Bao. “Precipitation Characteristics and Thermodynamic-Convection Coupling in Global Kilometer-Scale Simulations.” Journal of Advances in Modeling Earth Systems. Wiley, 2026. https://doi.org/10.1029/2025MS005343. ieee: D. Takasuka, T. Becker, and J. Bao, “Precipitation characteristics and thermodynamic-convection coupling in global kilometer-scale simulations,” Journal of Advances in Modeling Earth Systems, vol. 18, no. 3. Wiley, 2026. ista: Takasuka D, Becker T, Bao J. 2026. Precipitation characteristics and thermodynamic-convection coupling in global kilometer-scale simulations. Journal of Advances in Modeling Earth Systems. 18(3), e2025MS005343. mla: Takasuka, Daisuke, et al. “Precipitation Characteristics and Thermodynamic-Convection Coupling in Global Kilometer-Scale Simulations.” Journal of Advances in Modeling Earth Systems, vol. 18, no. 3, e2025MS005343, Wiley, 2026, doi:10.1029/2025MS005343. short: D. Takasuka, T. Becker, J. Bao, Journal of Advances in Modeling Earth Systems 18 (2026). corr_author: '1' date_created: 2026-04-05T22:01:31Z date_published: 2026-03-01T00:00:00Z date_updated: 2026-04-07T09:14:51Z day: '01' ddc: - '550' department: - _id: CaMu doi: 10.1029/2025MS005343 ec_funded: 1 file: - access_level: open_access checksum: ca7dac4bab31348d0640ed22580c6dce content_type: application/pdf creator: dernst date_created: 2026-04-07T09:11:23Z date_updated: 2026-04-07T09:11:23Z file_id: '21665' file_name: 2026_JAMES_Takasuka.pdf file_size: 3854313 relation: main_file success: 1 file_date_updated: 2026-04-07T09:11:23Z has_accepted_license: '1' intvolume: ' 18' issue: '3' language: - iso: eng month: '03' oa: 1 oa_version: None project: - _id: fc2ed2f7-9c52-11eb-aca3-c01059dda49c call_identifier: H2020 grant_number: '101034413' name: 'IST-BRIDGE: International postdoctoral program' 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: Precipitation characteristics and thermodynamic-convection coupling in global kilometer-scale simulations 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: 18 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. Geophysical Research Letters. 2026;53(8). doi:10.1029/2025gl119921' apa: 'Biagioli, G., Mandorli, G., Freischem, L. J., Casallas Garcia, A., & Tompkins, A. M. (2026). Spatial patterns of shallow clouds: Challenging the concept of defined regimes. Geophysical Research Letters. Wiley. https://doi.org/10.1029/2025gl119921' 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.” Geophysical Research Letters. Wiley, 2026. https://doi.org/10.1029/2025gl119921.' 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,” Geophysical Research Letters, 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.” Geophysical Research Letters, vol. 53, no. 8, e2025GL119921, Wiley, 2026, doi:10.1029/2025gl119921.' 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: '18605' abstract: - lang: eng text: The response of clouds and moist-convective processes to heat loss to space by long-wave radiative cooling is an important feedback in the Earth's atmosphere. It is known that moist convection increases roughly in equilibrium with radiative cooling, an assumption often made in simplified models of the tropical atmosphere. In this study, we use an idealised two-dimensional model of the atmosphere introduced by Vallis et. al. and incorporate a bulk-cooling term, which is an idealisation of radiative cooling in the atmosphere. We comment briefly on the static stability of the system to dry and moist convection and characteris its moist convective response to changes in the bulk cooling. We find that, while the clear-sky regions of the model respond directly to the change in the cooling term, the regions dominated by moist convective plumes are insensitive to changes in cooling. Similar to previous findings from cloud-resolving models, we too find in our idealised setting that the majority of the increase in convection occurs via an increase in the areal coverage of convection, rather than its intensity. We argue that these small-scale convective processes are an upper bound on how quickly convective intensity can change to stay in equilibrium with radiative cooling. acknowledged_ssus: - _id: ScienComp acknowledgement: "The authors gratefully acknowledge the help of Julian Renaud and Alzbeta “Bety” Pechacova. Julian went through the relevant literature on the topic in the initial stages of the study in a very thorough manner and allowed the authors to understand the various types of idealised models that have been studied and the various approaches used. Bety ran simulations and performed analysis of the outputs of several simulations, which were crucial to bringing the article to its final form.\r\n\r\nThe authors also acknowledge the input of Prof. Martin Singh (Monash University, Australia) and discussions with Gregory Dritschel, Prof. Steven Tobias, and Prof. Douglas Parker (Leeds University, United Kingdom).\r\n\r\nThis project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 101034413. C. Muller gratefully 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). This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing (SciComp)." article_number: e4902 article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Lokahith N full_name: Agasthya, Lokahith N id: cd100965-0804-11ed-9c55-f4878ff4e877 last_name: Agasthya - 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: Mathis full_name: Cheve, Mathis id: c2cdb722-b15c-11ef-9e63-db902a30b40d last_name: Cheve citation: ama: 'Agasthya LN, Muller CJ, Cheve M. Moist convective scaling: Insights from an idealised model. Quarterly Journal of the Royal Meteorological Society. 2025;151(766). doi:10.1002/qj.4902' apa: 'Agasthya, L. N., Muller, C. J., & Cheve, M. (2025). Moist convective scaling: Insights from an idealised model. Quarterly Journal of the Royal Meteorological Society. Wiley. https://doi.org/10.1002/qj.4902' chicago: 'Agasthya, Lokahith N, Caroline J Muller, and Mathis Cheve. “Moist Convective Scaling: Insights from an Idealised Model.” Quarterly Journal of the Royal Meteorological Society. Wiley, 2025. https://doi.org/10.1002/qj.4902.' ieee: 'L. N. Agasthya, C. J. Muller, and M. Cheve, “Moist convective scaling: Insights from an idealised model,” Quarterly Journal of the Royal Meteorological Society, vol. 151, no. 766. Wiley, 2025.' ista: 'Agasthya LN, Muller CJ, Cheve M. 2025. Moist convective scaling: Insights from an idealised model. Quarterly Journal of the Royal Meteorological Society. 151(766), e4902.' mla: 'Agasthya, Lokahith N., et al. “Moist Convective Scaling: Insights from an Idealised Model.” Quarterly Journal of the Royal Meteorological Society, vol. 151, no. 766, e4902, Wiley, 2025, doi:10.1002/qj.4902.' short: L.N. Agasthya, C.J. Muller, M. Cheve, Quarterly Journal of the Royal Meteorological Society 151 (2025). corr_author: '1' date_created: 2024-12-01T23:01:54Z date_published: 2025-01-01T00:00:00Z date_updated: 2025-09-30T10:22:46Z day: '01' ddc: - '550' department: - _id: CaMu doi: 10.1002/qj.4902 ec_funded: 1 external_id: isi: - '001363135200001' file: - access_level: open_access checksum: 2b4968f1c794da56d1eb7b856a406de7 content_type: application/pdf creator: dernst date_created: 2025-07-03T06:46:27Z date_updated: 2025-07-03T06:46:27Z file_id: '19958' file_name: 2025_QuartJRMS_Agasthya.pdf file_size: 5924105 relation: main_file success: 1 file_date_updated: 2025-07-03T06:46:27Z has_accepted_license: '1' intvolume: ' 151' isi: 1 issue: '766' language: - iso: eng month: '01' 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' scopus_import: '1' status: public title: 'Moist convective scaling: Insights from an idealised model' 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: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 151 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: 85th Annual Meeting of the Academy of Management. Vol 2025. Academy of Management; 2025. doi:10.5465/AMPROC.2025.54bp' apa: 'Plata, C., & Casallas Garcia, A. (2025). Machine learning analysis of the factors influencing university-industry collaborations. In 85th Annual Meeting of the Academy of Management (Vol. 2025). Copenhagen, Denmark: Academy of Management. https://doi.org/10.5465/AMPROC.2025.54bp' chicago: Plata, Carlos, and Alejandro Casallas Garcia. “Machine Learning Analysis of the Factors Influencing University-Industry Collaborations.” In 85th Annual Meeting of the Academy of Management, Vol. 2025. Academy of Management, 2025. https://doi.org/10.5465/AMPROC.2025.54bp. ieee: C. Plata and A. Casallas Garcia, “Machine learning analysis of the factors influencing university-industry collaborations,” in 85th Annual Meeting of the Academy of Management, 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.” 85th Annual Meeting of the Academy of Management, vol. 2025, no. 1, Academy of Management, 2025, doi:10.5465/AMPROC.2025.54bp. 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' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '20026' abstract: - lang: eng text: Deep Convective Systems (DCSs) reaching scales of 100–1000 km play a pivotal role as the primary precipitation source in the tropics. Those systems can have large cloud shields, and thus not only affect severe precipitation patterns but also play a crucial part in modulating the tropical radiation budget. Understanding the complex factors that control how these systems grow and how they will behave in a warming climate remain fundamental challenges. Research efforts have been directed, on one hand, towards understanding the environmental control on these systems, and on the other hand, towards exploring the internal potential of systems to develop and self-aggregate in idealized simulations. However, we still lack understanding on the relative role of the environment and internal feedbacks on DCS mature size and why. The novel high-resolution global SAM simulation from the DYAMOND project, combined with the TOOCAN Lagrangian tracking of DCSs and machine learning tools, offers an unprecedented opportunity to explore this question. We find that a system’s growth rate during the first 2 h of development predicts its final size with a Pearson correlation coefficient of 0.65. Beyond this period, growth rate emerges as the strongest predictor. However, in the early stages, additional factors–such as ice water path heterogeneity, migration distance, interactions with neighboring systems, and deep shear–play a more significant role. Our study quantitatively assesses the relative influence of internal versus external factors on the mature cloud shield size. Our results show that system-intrinsic properties exert a stronger influence than environmental conditions, suggesting that the initial environment does not strictly constrain final system size, particularly for larger systems where internal dynamics dominate. acknowledgement: C.M. and S.A. gratefully acknowledge funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Project CLUSTER, grant agreement 805041), and from the PhD fellowship of Ecole Normale Supérieure de Paris-Saclay. DYAMOND data management was provided by the German Climate Computing Center (DKRZ) and supported through the projects ESiWACE and ESiWACE2. The projects ESiWACE and ESiWACE2 have received funding from the European Union’s Horizon 2020 research and innovation program under grant agreements No 675191 and 823988. This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project IDs bk1040 and bb1153. The authors express their gratitude to Sophie Cloché and Eileen Hertwig for their assistance in data archival at IPSL and DKRZ, respectively. We also thank Christophe Lampert and Benjamin Fildier for valuable scientific discussions, and acknowledge the thoughtful comments of two anonymous reviewers. article_number: '258' article_processing_charge: Yes article_type: original author: - first_name: Sophie full_name: Abramian, Sophie last_name: Abramian - 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: Camille full_name: Risi, Camille last_name: Risi - first_name: Thomas full_name: Fiolleau, Thomas last_name: Fiolleau - first_name: Rémy full_name: Roca, Rémy last_name: Roca citation: ama: Abramian S, Muller CJ, Risi C, Fiolleau T, Roca R. How key features of early development shape deep convective systems. npj Climate and Atmospheric Science. 2025;8. doi:10.1038/s41612-025-01154-1 apa: Abramian, S., Muller, C. J., Risi, C., Fiolleau, T., & Roca, R. (2025). How key features of early development shape deep convective systems. Npj Climate and Atmospheric Science. Springer Nature. https://doi.org/10.1038/s41612-025-01154-1 chicago: Abramian, Sophie, Caroline J Muller, Camille Risi, Thomas Fiolleau, and Rémy Roca. “How Key Features of Early Development Shape Deep Convective Systems.” Npj Climate and Atmospheric Science. Springer Nature, 2025. https://doi.org/10.1038/s41612-025-01154-1. ieee: S. Abramian, C. J. Muller, C. Risi, T. Fiolleau, and R. Roca, “How key features of early development shape deep convective systems,” npj Climate and Atmospheric Science, vol. 8. Springer Nature, 2025. ista: Abramian S, Muller CJ, Risi C, Fiolleau T, Roca R. 2025. How key features of early development shape deep convective systems. npj Climate and Atmospheric Science. 8, 258. mla: Abramian, Sophie, et al. “How Key Features of Early Development Shape Deep Convective Systems.” Npj Climate and Atmospheric Science, vol. 8, 258, Springer Nature, 2025, doi:10.1038/s41612-025-01154-1. short: S. Abramian, C.J. Muller, C. Risi, T. Fiolleau, R. Roca, Npj Climate and Atmospheric Science 8 (2025). date_created: 2025-07-20T22:01:59Z date_published: 2025-07-08T00:00:00Z date_updated: 2025-09-30T14:02:27Z day: '08' ddc: - '550' department: - _id: CaMu doi: 10.1038/s41612-025-01154-1 ec_funded: 1 external_id: isi: - '001524244500001' file: - access_level: open_access checksum: 8113405b3e52024b24621ea21d89b3ab content_type: application/pdf creator: dernst date_created: 2025-07-22T06:02:14Z date_updated: 2025-07-22T06:02:14Z file_id: '20061' file_name: 2025_njpClimate_Abramian.pdf file_size: 3919446 relation: main_file success: 1 file_date_updated: 2025-07-22T06:02:14Z has_accepted_license: '1' intvolume: ' 8' isi: 1 language: - iso: eng month: '07' oa: 1 oa_version: Published Version project: - _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: 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: How key features of early development shape deep convective systems 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: 8 year: '2025' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold PlanS_conform: '1' _id: '20098' abstract: - lang: eng text: Climate change is causing wildfires to become more frequent and intense. While predicting burned areas using bioclimatic and anthropogenic factors is an active research area, few studies have examined what drives the economic damages of wildfires. Our study aims to fill this gap by analyzing key factors influencing global economic wildfire damages and projecting future damages under three shared socioeconomic pathways (SSPs). We apply regression analyses to identify significant predictors of economic wildfire damages at country levels and use the fitted model to project future damages under SSP126, SSP245, and SSP370. Results show that the human vulnerability index (HVI), reflecting socioeconomic conditions, is the strongest predictor of historical wildfire damages, followed by water vapor pressure deficit during the fire season and population density around forested areas. We found high population density to be associated with lower damages. These findings contrast with studies of burned areas, where climate factors are more dominant. Our model projects that by 2070, average global economic wildfire damages will be three times higher under SSP370 than SSP126. Our model also shows that following SSP126 not only reduces wildfire damages but also lessens the inequalities in damage distribution across countries. This pathway’s dual focus on equitable socioeconomic progress and climate action potentially enhances a country’s resilience that helps mitigate wildfire damages. Our analyses also indicate that strong socioeconomic development can offset wildfire damages associated with climate hazards, although this is less certain under SSP370. SSP126’s integrated approach improves both socioeconomic conditions and limits global warming, providing substantial benefits to less developed countries while still reducing damages in developed nations, despite their already low HVI scores. Our work complements existing research on burned areas and underscores the importance of sustainable development and international collaboration in reducing the economic damages of wildfires. acknowledgement: We thank Marina Andrijevic, Giacomo Falchetta, Samuel Lüthi, Caroline Muller, Carl Schleussner, and Adriano Vinca for providing useful ideas and feedback for this work. YLH is supported by funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska‐Curie Grant No. 101034413. EB, MW, and YQ are supported by the European Union’s Horizon Europe research and innovation programme under Grant Agreement No. 101081369 (SPARCCLE). We also thank the two anonymous reviewers for providing helpful feedback that greatly improved this manuscript. article_number: '035005' article_processing_charge: Yes article_type: original author: - first_name: Yi-Ling full_name: Hwong, Yi-Ling id: 1217aa61-4dd1-11ec-9ac3-f2ba3f17ee22 last_name: Hwong orcid: 0000-0001-9281-3479 - first_name: Edward full_name: Byers, Edward last_name: Byers - first_name: Michaela full_name: Werning, Michaela last_name: Werning - first_name: Yann full_name: Quilcaille, Yann last_name: Quilcaille citation: ama: 'Hwong Y-L, Byers E, Werning M, Quilcaille Y. Sustainable development key to limiting climate change-driven wildfire damages. Environmental Research: Climate. 2025;4(3). doi:10.1088/2752-5295/adec11' apa: 'Hwong, Y.-L., Byers, E., Werning, M., & Quilcaille, Y. (2025). Sustainable development key to limiting climate change-driven wildfire damages. Environmental Research: Climate. IOP Publishing. https://doi.org/10.1088/2752-5295/adec11' chicago: 'Hwong, Yi-Ling, Edward Byers, Michaela Werning, and Yann Quilcaille. “Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages.” Environmental Research: Climate. IOP Publishing, 2025. https://doi.org/10.1088/2752-5295/adec11.' ieee: 'Y.-L. Hwong, E. Byers, M. Werning, and Y. Quilcaille, “Sustainable development key to limiting climate change-driven wildfire damages,” Environmental Research: Climate, vol. 4, no. 3. IOP Publishing, 2025.' ista: 'Hwong Y-L, Byers E, Werning M, Quilcaille Y. 2025. Sustainable development key to limiting climate change-driven wildfire damages. Environmental Research: Climate. 4(3), 035005.' mla: 'Hwong, Yi-Ling, et al. “Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages.” Environmental Research: Climate, vol. 4, no. 3, 035005, IOP Publishing, 2025, doi:10.1088/2752-5295/adec11.' short: 'Y.-L. Hwong, E. Byers, M. Werning, Y. Quilcaille, Environmental Research: Climate 4 (2025).' corr_author: '1' date_created: 2025-07-31T14:03:16Z date_published: 2025-07-15T00:00:00Z date_updated: 2025-08-04T07:46:33Z day: '15' ddc: - '550' department: - _id: CaMu doi: 10.1088/2752-5295/adec11 ec_funded: 1 file: - access_level: open_access checksum: ca679496767021e792b0378c48fdee8c content_type: application/pdf creator: dernst date_created: 2025-08-04T07:38:14Z date_updated: 2025-08-04T07:38:14Z file_id: '20108' file_name: 2025_EnvironResearchClimate_Hwong.pdf file_size: 2807041 relation: main_file success: 1 file_date_updated: 2025-08-04T07:38:14Z has_accepted_license: '1' intvolume: ' 4' issue: '3' language: - iso: eng month: '07' 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: 'Environmental Research: Climate' publication_identifier: eissn: - 2752-5295 publication_status: published publisher: IOP Publishing quality_controlled: '1' related_material: record: - id: '20107' relation: research_data status: public scopus_import: '1' status: public title: Sustainable development key to limiting climate change-driven wildfire damages 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: 4 year: '2025' ... --- OA_place: repository OA_type: green _id: '20107' abstract: - lang: eng text: 'This repository contains the data and scripts required to reproduce the results of the manuscript "Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages" submitted to the Environmental Research Climate Journal (ERCL). ' article_processing_charge: No author: - first_name: Yi-Ling full_name: Hwong, Yi-Ling id: 1217aa61-4dd1-11ec-9ac3-f2ba3f17ee22 last_name: Hwong orcid: 0000-0001-9281-3479 - first_name: Edward full_name: Byers, Edward last_name: Byers - first_name: Michaela full_name: Werning, Michaela last_name: Werning - first_name: Yann full_name: Quilcaille, Yann last_name: Quilcaille citation: ama: Hwong Y-L, Byers E, Werning M, Quilcaille Y. Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages. 2025. doi:10.5281/ZENODO.13988679 apa: Hwong, Y.-L., Byers, E., Werning, M., & Quilcaille, Y. (2025). Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages. Zenodo. https://doi.org/10.5281/ZENODO.13988679 chicago: Hwong, Yi-Ling, Edward Byers, Michaela Werning, and Yann Quilcaille. “Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages.” Zenodo, 2025. https://doi.org/10.5281/ZENODO.13988679. ieee: Y.-L. Hwong, E. Byers, M. Werning, and Y. Quilcaille, “Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages.” Zenodo, 2025. ista: Hwong Y-L, Byers E, Werning M, Quilcaille Y. 2025. Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages, Zenodo, 10.5281/ZENODO.13988679. mla: Hwong, Yi-Ling, et al. Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages. Zenodo, 2025, doi:10.5281/ZENODO.13988679. short: Y.-L. Hwong, E. Byers, M. Werning, Y. Quilcaille, (2025). corr_author: '1' date_created: 2025-08-04T07:34:39Z date_published: 2025-05-21T00:00:00Z date_updated: 2025-08-04T07:46:33Z day: '21' ddc: - '550' department: - _id: CaMu doi: 10.5281/ZENODO.13988679 ec_funded: 1 has_accepted_license: '1' main_file_link: - open_access: '1' url: https://doi.org/10.5281/zenodo.15409324 month: '05' 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' publisher: Zenodo related_material: record: - id: '20098' relation: used_in_publication status: public status: public title: Data - Sustainable Development Key to Limiting Climate Change-Driven Wildfire Damages 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: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2025' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold _id: '20319' abstract: - lang: eng text: The time needed by deep convection to bring the atmosphere back to equilibrium is called convective adjustment timescale or simply adjustment timescale, typically denoted by . In the Community Atmospheric Model|Community Atmosphere Model (CAM), is the convective available potential energy (CAPE) relaxation timescale and is 1 hr, worldwide. Observational evidence suggests that is generally longer than 1 hr. Further, continental and oceanic convection are different in terms of the vigor of updrafts and can have different longevities. So using hour worldwide in CAM has two potential caveats. A longer improves the simulation of the mean climate. However, it does not address the land‐ocean heterogeneity of atmospheric deep convection. We investigate the prescription of two different CAPE relaxation timescales for land ( hr) and ocean ( to 4 hr). It is arguably an extremely crude parameterization of boundary layer control on atmospheric convection. We contrast a suite of 5‐year‐long simulations with two different for land and ocean to having one globally. The choice of longer over ocean is guided by previous studies and inspired by observational pieces of evidence. Nonetheless, to complement our variable experiments, we perform a simulation with  hr and  hrs. Most importantly, our key findings are immune to the exact values of prescribed and . The CAM model, with two values , improves convective‐stratiform rainfall partitioning and the Madden–Julian oscillation propagation characteristics. acknowledged_ssus: - _id: ScienComp acknowledgement: The authors gratefully acknowledge funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Project CLUSTER, Grant 805041). This research was supported by the Scientific Service Units (SSU) of ISTA through resources provided by Scientific Computing (SciComp). We would like to thank Prof. Courtney Schumacher and Dr. Aaron Funk of Texas A&M University for their help in understanding the TRMM Radar data. The authors are grateful to two anonymous reviewers who helped improve the quality of this paper. article_number: e2025MS005035 article_processing_charge: Yes article_type: original author: - first_name: BIDYUT B full_name: GOSWAMI, BIDYUT B id: 3a4ac09c-6d61-11ec-bf66-884cde66b64b last_name: GOSWAMI orcid: 0000-0001-8602-3083 - first_name: Andrea full_name: Polesello, Andrea id: 74c777f4-32da-11ee-b498-874db0835561 last_name: Polesello - 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: GOSWAMI BB, Polesello A, Muller CJ. An assessment of representing land‐ocean heterogeneity via CAPE relaxation timescale in the Community Atmospheric Model 6 (CAM6). Journal of Advances in Modeling Earth Systems. 2025;17(9). doi:10.1029/2025ms005035 apa: GOSWAMI, B. B., Polesello, A., & Muller, C. J. (2025). An assessment of representing land‐ocean heterogeneity via CAPE relaxation timescale in the Community Atmospheric Model 6 (CAM6). Journal of Advances in Modeling Earth Systems. Wiley. https://doi.org/10.1029/2025ms005035 chicago: GOSWAMI, BIDYUT B, Andrea Polesello, and Caroline J Muller. “An Assessment of Representing Land‐ocean Heterogeneity via CAPE Relaxation Timescale in the Community Atmospheric Model 6 (CAM6).” Journal of Advances in Modeling Earth Systems. Wiley, 2025. https://doi.org/10.1029/2025ms005035. ieee: B. B. GOSWAMI, A. Polesello, and C. J. Muller, “An assessment of representing land‐ocean heterogeneity via CAPE relaxation timescale in the Community Atmospheric Model 6 (CAM6),” Journal of Advances in Modeling Earth Systems, vol. 17, no. 9. Wiley, 2025. ista: GOSWAMI BB, Polesello A, Muller CJ. 2025. An assessment of representing land‐ocean heterogeneity via CAPE relaxation timescale in the Community Atmospheric Model 6 (CAM6). Journal of Advances in Modeling Earth Systems. 17(9), e2025MS005035. mla: GOSWAMI, BIDYUT B., et al. “An Assessment of Representing Land‐ocean Heterogeneity via CAPE Relaxation Timescale in the Community Atmospheric Model 6 (CAM6).” Journal of Advances in Modeling Earth Systems, vol. 17, no. 9, e2025MS005035, Wiley, 2025, doi:10.1029/2025ms005035. short: B.B. GOSWAMI, A. Polesello, C.J. Muller, Journal of Advances in Modeling Earth Systems 17 (2025). corr_author: '1' date_created: 2025-09-10T05:36:16Z date_published: 2025-09-01T00:00:00Z date_updated: 2025-09-10T08:14:28Z day: '01' ddc: - '550' department: - _id: CaMu doi: 10.1029/2025ms005035 ec_funded: 1 file: - access_level: open_access checksum: 5961d6290432c5ac0e8587ef07f30c9b content_type: application/pdf creator: dernst date_created: 2025-09-10T08:12:34Z date_updated: 2025-09-10T08:12:34Z file_id: '20338' file_name: 2025_JAMES_Goswami.pdf file_size: 2143025 relation: main_file success: 1 file_date_updated: 2025-09-10T08:12:34Z has_accepted_license: '1' intvolume: ' 17' issue: '9' language: - iso: eng month: '09' oa: 1 oa_version: Published Version project: - _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: An assessment of representing land‐ocean heterogeneity via CAPE relaxation timescale in the Community Atmospheric Model 6 (CAM6) 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 17 year: '2025' ... --- OA_place: publisher OA_type: hybrid PlanS_conform: '1' _id: '20590' abstract: - lang: eng text: 'Moist convection is a fundamental process occurring in the Earth''s atmosphere. It plays a central role in the weather and climate of the Tropics, where, to first order, the heating of the atmosphere by convection is in balance with the cooling of the atmosphere by the emission of radiation to outer space. In this study, we use a cloud-resolving model in radiative–convective equilibrium with an imposed constant rate of radiative cooling and study the response of moist convection to varying this rate of radiative cooling. In particular, we study two types of simulation: varying air temperature (VAT) simulations, where the air temperature is allowed to adjust to the imposed radiative cooling, and constant air temperature (CAT) simulations, where the surface temperature is tuned to ensure that the atmospheric temperature profile in the domain is constant. We recover the previously known result that, in response to increasing radiative cooling, the area of convection expands rapidly, while the intensity of convection does not change. We find that this response is explained by the increased boundary-layer variability in simulations with greater radiative cooling, which compensates for the decreasing temperature by adding a larger initial velocity close to the cloud base. We also propose a fundamental scaling of the non-dimensional cumulus mass flux in moist convection, which is robust across models of different complexity. We aim to bridge the gap between highly idealised prototypes of moist convection, such as the “Rainy–Bénard convection” introduced by Vallis et al., and comprehensive cloud-resolving models.' acknowledged_ssus: - _id: ScienComp acknowledgement: "The authors gratefully acknowledge discussions with Professor Robert Plant (University of Reading, UK), Professor Steve Sherwood (University of New South Wales, Australia), Professor Steve Tobias, Professor Douglas Parker, and Gregory Dritschel (University of Leeds, UK). Discussions with colleagues at the Institute of Science and Technology Austria played a large role in shaping this study. The authors are particularly grateful for inputs and discussions from Dr. Jiawei Bao, Dr. Alejandro Casallas, and Alzbeta Pechacova.\r\nThis project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska–Curie grant agreement No. 101034413. C. Muller gratefully 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). This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing (SciComp). Open Access funding provided by Institute of Science and Technology Austria/KEMÖ." article_number: e70044 article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Lokahith N full_name: Agasthya, Lokahith N id: cd100965-0804-11ed-9c55-f4878ff4e877 last_name: Agasthya - 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: 'Agasthya LN, Muller CJ. Moist convection and radiative cooling: Dynamical response and scaling. Quarterly Journal of the Royal Meteorological Society. 2025. doi:10.1002/qj.70044' apa: 'Agasthya, L. N., & Muller, C. J. (2025). Moist convection and radiative cooling: Dynamical response and scaling. Quarterly Journal of the Royal Meteorological Society. Wiley. https://doi.org/10.1002/qj.70044' chicago: 'Agasthya, Lokahith N, and Caroline J Muller. “Moist Convection and Radiative Cooling: Dynamical Response and Scaling.” Quarterly Journal of the Royal Meteorological Society. Wiley, 2025. https://doi.org/10.1002/qj.70044.' ieee: 'L. N. Agasthya and C. J. Muller, “Moist convection and radiative cooling: Dynamical response and scaling,” Quarterly Journal of the Royal Meteorological Society. Wiley, 2025.' ista: 'Agasthya LN, Muller CJ. 2025. Moist convection and radiative cooling: Dynamical response and scaling. Quarterly Journal of the Royal Meteorological Society., e70044.' mla: 'Agasthya, Lokahith N., and Caroline J. Muller. “Moist Convection and Radiative Cooling: Dynamical Response and Scaling.” Quarterly Journal of the Royal Meteorological Society, e70044, Wiley, 2025, doi:10.1002/qj.70044.' short: L.N. Agasthya, C.J. Muller, Quarterly Journal of the Royal Meteorological Society (2025). corr_author: '1' date_created: 2025-11-02T23:01:34Z date_published: 2025-10-18T00:00:00Z date_updated: 2025-12-01T15:15:18Z day: '18' ddc: - '550' department: - _id: CaMu doi: 10.1002/qj.70044 ec_funded: 1 external_id: isi: - '001595821400001' has_accepted_license: '1' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1002/qj.70044 month: '10' 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: epub_ahead publisher: Wiley quality_controlled: '1' scopus_import: '1' status: public title: 'Moist convection and radiative cooling: Dynamical response and scaling' 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: '2025' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold PlanS_conform: '1' _id: '20685' abstract: - lang: eng text: 'The Next Generation of Earth Modeling Systems (nextGEMS) project aimed to produce multidecadal climate simulations, for the first time, with resolved kilometer-scale (km-scale) processes in the ocean, land, and atmosphere. In only 3 years, nextGEMS achieved this milestone with the two km-scale Earth system models, ICOsahedral Non-hydrostatic model (ICON) and Integrated Forecasting System coupled to the Finite-volumE Sea ice-Ocean Model (IFS-FESOM). nextGEMS was based on three cornerstones: (1) developing km-scale Earth system models with small errors in the energy and water balance, (2) performing km-scale climate simulations with a throughput greater than 1 simulated year per day, and (3) facilitating new workflows for an efficient analysis of the large simulations with common data structures and output variables. These cornerstones shaped the timeline of nextGEMS, divided into four cycles. Each cycle marked the release of a new configuration of ICON and IFS-FESOM, which were evaluated at hackathons. The hackathon participants included experts from climate science, software engineering, and high-performance computing as well as users from the energy and agricultural sectors. The continuous efforts over the four cycles allowed us to produce 30-year simulations with ICON and IFS-FESOM, spanning the period 2020–2049 under the SSP3-7.0 scenario. The throughput was about 500 simulated days per day on the Levante supercomputer of the German Climate Computing Center (DKRZ). The simulations employed a horizontal grid of about 5 km resolution in the ocean and 10 km resolution in the atmosphere and land. Aside from this technical achievement, the simulations allowed us to gain new insights into the realism of ICON and IFS-FESOM. Beyond its time frame, nextGEMS builds the foundation of the Climate Change Adaptation Digital Twin developed in the Destination Earth initiative and paves the way for future European research on climate change.' acknowledgement: "This research was supported by the Horizon 2020 project nextGEMS under grant agreement no. 101003470. Most simulations were performed and analyzed on facilities of the DKRZ (HLRE-4 Levante, 2024) with resources granted under project bm1235. We would like to thank DKRZ staff for their continued support in running the simulations and hosting and handling the data, in particular Jan Frederik Engels, Hendryk Bockelmann, Fabian Wachsmann, Irina Fast, and Carsten Beyer. We also want to thank the two anonymous reviewers for their insightful comments.This research has been supported by the EU Horizon 2020 (grant no. 101003470).\r\nThe article processing charges for this open-access publication were covered by the Max Planck Society." article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Hans full_name: Segura, Hans last_name: Segura - first_name: Xabier full_name: Pedruzo-Bagazgoitia, Xabier last_name: Pedruzo-Bagazgoitia - first_name: Philipp full_name: Weiss, Philipp last_name: Weiss - first_name: Sebastian K. full_name: Müller, Sebastian K. last_name: Müller - first_name: Thomas full_name: Rackow, Thomas last_name: Rackow - first_name: Junhong full_name: Lee, Junhong last_name: Lee - first_name: Edgar full_name: Dolores-Tesillos, Edgar last_name: Dolores-Tesillos - first_name: Imme full_name: Benedict, Imme last_name: Benedict - first_name: Matthias full_name: Aengenheyster, Matthias last_name: Aengenheyster - first_name: Razvan full_name: Aguridan, Razvan last_name: Aguridan - first_name: Gabriele full_name: Arduini, Gabriele last_name: Arduini - first_name: Alexander J. full_name: Baker, Alexander J. last_name: Baker - first_name: Jiawei full_name: Bao, Jiawei id: bb9a7399-fefd-11ed-be3c-ae648fd1d160 last_name: Bao - first_name: Swantje full_name: Bastin, Swantje last_name: Bastin - first_name: Eulàlia full_name: Baulenas, Eulàlia last_name: Baulenas - first_name: Tobias full_name: Becker, Tobias last_name: Becker - first_name: Sebastian full_name: Beyer, Sebastian last_name: Beyer - first_name: Hendryk full_name: Bockelmann, Hendryk last_name: Bockelmann - first_name: Nils full_name: Brüggemann, Nils last_name: Brüggemann - first_name: Lukas full_name: Brunner, Lukas last_name: Brunner - first_name: Suvarchal K. full_name: Cheedela, Suvarchal K. last_name: Cheedela - first_name: Sushant full_name: Das, Sushant last_name: Das - first_name: Jasper full_name: Denissen, Jasper last_name: Denissen - first_name: Ian full_name: Dragaud, Ian last_name: Dragaud - first_name: Piotr full_name: Dziekan, Piotr last_name: Dziekan - first_name: Madeleine full_name: Ekblom, Madeleine last_name: Ekblom - first_name: Jan Frederik full_name: Engels, Jan Frederik last_name: Engels - first_name: Monika full_name: Esch, Monika last_name: Esch - first_name: Richard full_name: Forbes, Richard last_name: Forbes - first_name: Claudia full_name: Frauen, Claudia last_name: Frauen - first_name: Lilli full_name: Freischem, Lilli last_name: Freischem - first_name: Diego full_name: García-Maroto, Diego last_name: García-Maroto - first_name: Philipp full_name: Geier, Philipp last_name: Geier - first_name: Paul full_name: Gierz, Paul last_name: Gierz - first_name: Álvaro full_name: González-Cervera, Álvaro last_name: González-Cervera - first_name: Katherine full_name: Grayson, Katherine last_name: Grayson - first_name: Matthew full_name: Griffith, Matthew last_name: Griffith - first_name: Oliver full_name: Gutjahr, Oliver last_name: Gutjahr - first_name: Helmuth full_name: Haak, Helmuth last_name: Haak - first_name: Ioan full_name: Hadade, Ioan last_name: Hadade - first_name: Kerstin full_name: Haslehner, Kerstin last_name: Haslehner - first_name: Shabeh full_name: ul Hasson, Shabeh last_name: ul Hasson - first_name: Jan full_name: Hegewald, Jan last_name: Hegewald - first_name: Lukas full_name: Kluft, Lukas last_name: Kluft - first_name: Aleksei full_name: Koldunov, Aleksei last_name: Koldunov - first_name: Nikolay full_name: Koldunov, Nikolay last_name: Koldunov - first_name: Tobias full_name: Kölling, Tobias last_name: Kölling - first_name: Shunya full_name: Koseki, Shunya last_name: Koseki - first_name: Sergey full_name: Kosukhin, Sergey last_name: Kosukhin - first_name: Josh full_name: Kousal, Josh last_name: Kousal - first_name: Peter full_name: Kuma, Peter last_name: Kuma - first_name: Arjun U. full_name: Kumar, Arjun U. last_name: Kumar - first_name: Rumeng full_name: Li, Rumeng last_name: Li - first_name: Nicolas full_name: Maury, Nicolas last_name: Maury - first_name: Maximilian full_name: Meindl, Maximilian last_name: Meindl - first_name: Sebastian full_name: Milinski, Sebastian last_name: Milinski - first_name: Kristian full_name: Mogensen, Kristian last_name: Mogensen - first_name: Bimochan full_name: Niraula, Bimochan last_name: Niraula - first_name: Jakub full_name: Nowak, Jakub last_name: Nowak - first_name: Divya Sri full_name: Praturi, Divya Sri last_name: Praturi - first_name: Ulrike full_name: Proske, Ulrike last_name: Proske - first_name: Dian full_name: Putrasahan, Dian last_name: Putrasahan - first_name: René full_name: Redler, René last_name: Redler - first_name: David full_name: Santuy, David last_name: Santuy - first_name: Domokos full_name: Sármány, Domokos last_name: Sármány - first_name: Reiner full_name: Schnur, Reiner last_name: Schnur - first_name: Patrick full_name: Scholz, Patrick last_name: Scholz - first_name: Dmitry full_name: Sidorenko, Dmitry last_name: Sidorenko - first_name: Dorian full_name: Spät, Dorian last_name: Spät - first_name: Birgit full_name: Sützl, Birgit last_name: Sützl - first_name: Daisuke full_name: Takasuka, Daisuke last_name: Takasuka - first_name: Adrian full_name: Tompkins, Adrian last_name: Tompkins - first_name: Alejandro full_name: Uribe, Alejandro last_name: Uribe - first_name: Mirco full_name: Valentini, Mirco last_name: Valentini - first_name: Menno full_name: Veerman, Menno last_name: Veerman - first_name: Aiko full_name: Voigt, Aiko last_name: Voigt - first_name: Sarah full_name: Warnau, Sarah last_name: Warnau - first_name: Fabian full_name: Wachsmann, Fabian last_name: Wachsmann - first_name: Marta full_name: Wacławczyk, Marta last_name: Wacławczyk - first_name: Nils full_name: Wedi, Nils last_name: Wedi - first_name: Karl-Hermann full_name: Wieners, Karl-Hermann last_name: Wieners - first_name: Jonathan full_name: Wille, Jonathan last_name: Wille - first_name: Marius full_name: Winkler, Marius last_name: Winkler - first_name: Yuting full_name: Wu, Yuting last_name: Wu - first_name: Florian full_name: Ziemen, Florian last_name: Ziemen - first_name: Janos full_name: Zimmermann, Janos last_name: Zimmermann - first_name: Frida A.-M. full_name: Bender, Frida A.-M. last_name: Bender - first_name: Dragana full_name: Bojovic, Dragana last_name: Bojovic - first_name: Sandrine full_name: Bony, Sandrine last_name: Bony - first_name: Simona full_name: Bordoni, Simona last_name: Bordoni - first_name: Patrice full_name: Brehmer, Patrice last_name: Brehmer - first_name: Marcus full_name: Dengler, Marcus last_name: Dengler - first_name: Emanuel full_name: Dutra, Emanuel last_name: Dutra - first_name: Saliou full_name: Faye, Saliou last_name: Faye - first_name: Erich full_name: Fischer, Erich last_name: Fischer - first_name: Chiel full_name: van Heerwaarden, Chiel last_name: van Heerwaarden - first_name: Cathy full_name: Hohenegger, Cathy last_name: Hohenegger - first_name: Heikki full_name: Järvinen, Heikki last_name: Järvinen - first_name: Markus full_name: Jochum, Markus last_name: Jochum - first_name: Thomas full_name: Jung, Thomas last_name: Jung - first_name: Johann H. full_name: Jungclaus, Johann H. last_name: Jungclaus - first_name: Noel S. full_name: Keenlyside, Noel S. last_name: Keenlyside - first_name: Daniel full_name: Klocke, Daniel last_name: Klocke - first_name: Heike full_name: Konow, Heike last_name: Konow - first_name: Martina full_name: Klose, Martina last_name: Klose - first_name: Szymon full_name: Malinowski, Szymon last_name: Malinowski - first_name: Olivia full_name: Martius, Olivia last_name: Martius - first_name: Thorsten full_name: Mauritsen, Thorsten last_name: Mauritsen - first_name: Juan Pedro full_name: Mellado, Juan Pedro last_name: Mellado - first_name: Theresa full_name: Mieslinger, Theresa last_name: Mieslinger - first_name: Elsa full_name: Mohino, Elsa last_name: Mohino - first_name: Hanna full_name: Pawłowska, Hanna last_name: Pawłowska - first_name: Karsten full_name: Peters-von Gehlen, Karsten last_name: Peters-von Gehlen - first_name: Abdoulaye full_name: Sarré, Abdoulaye last_name: Sarré - first_name: Pajam full_name: Sobhani, Pajam last_name: Sobhani - first_name: Philip full_name: Stier, Philip last_name: Stier - first_name: Lauri full_name: Tuppi, Lauri last_name: Tuppi - first_name: Pier Luigi full_name: Vidale, Pier Luigi last_name: Vidale - first_name: Irina full_name: Sandu, Irina last_name: Sandu - first_name: Bjorn full_name: Stevens, Bjorn last_name: Stevens citation: ama: 'Segura H, Pedruzo-Bagazgoitia X, Weiss P, et al. nextGEMS: Entering the era of kilometer-scale Earth system modeling. Geoscientific Model Development. 2025;18(20):7735-7761. doi:10.5194/gmd-18-7735-2025' apa: 'Segura, H., Pedruzo-Bagazgoitia, X., Weiss, P., Müller, S. K., Rackow, T., Lee, J., … Stevens, B. (2025). nextGEMS: Entering the era of kilometer-scale Earth system modeling. Geoscientific Model Development. Copernicus Publications. https://doi.org/10.5194/gmd-18-7735-2025' chicago: 'Segura, Hans, Xabier Pedruzo-Bagazgoitia, Philipp Weiss, Sebastian K. Müller, Thomas Rackow, Junhong Lee, Edgar Dolores-Tesillos, et al. “NextGEMS: Entering the Era of Kilometer-Scale Earth System Modeling.” Geoscientific Model Development. Copernicus Publications, 2025. https://doi.org/10.5194/gmd-18-7735-2025.' ieee: 'H. Segura et al., “nextGEMS: Entering the era of kilometer-scale Earth system modeling,” Geoscientific Model Development, vol. 18, no. 20. Copernicus Publications, pp. 7735–7761, 2025.' ista: 'Segura H et al. 2025. nextGEMS: Entering the era of kilometer-scale Earth system modeling. Geoscientific Model Development. 18(20), 7735–7761.' mla: 'Segura, Hans, et al. “NextGEMS: Entering the Era of Kilometer-Scale Earth System Modeling.” Geoscientific Model Development, vol. 18, no. 20, Copernicus Publications, 2025, pp. 7735–61, doi:10.5194/gmd-18-7735-2025.' short: H. Segura, X. Pedruzo-Bagazgoitia, P. Weiss, S.K. Müller, T. Rackow, J. Lee, E. Dolores-Tesillos, I. Benedict, M. Aengenheyster, R. Aguridan, G. Arduini, A.J. Baker, J. Bao, S. Bastin, E. Baulenas, T. Becker, S. Beyer, H. Bockelmann, N. Brüggemann, L. Brunner, S.K. Cheedela, S. Das, J. Denissen, I. Dragaud, P. Dziekan, M. Ekblom, J.F. Engels, M. Esch, R. Forbes, C. Frauen, L. Freischem, D. García-Maroto, P. Geier, P. Gierz, Á. González-Cervera, K. Grayson, M. Griffith, O. Gutjahr, H. Haak, I. Hadade, K. Haslehner, S. ul Hasson, J. Hegewald, L. Kluft, A. Koldunov, N. Koldunov, T. Kölling, S. Koseki, S. Kosukhin, J. Kousal, P. Kuma, A.U. Kumar, R. Li, N. Maury, M. Meindl, S. Milinski, K. Mogensen, B. Niraula, J. Nowak, D.S. Praturi, U. Proske, D. Putrasahan, R. Redler, D. Santuy, D. Sármány, R. Schnur, P. Scholz, D. Sidorenko, D. Spät, B. Sützl, D. Takasuka, A. Tompkins, A. Uribe, M. Valentini, M. Veerman, A. Voigt, S. Warnau, F. Wachsmann, M. Wacławczyk, N. Wedi, K.-H. Wieners, J. Wille, M. Winkler, Y. Wu, F. Ziemen, J. Zimmermann, F.A.-M. Bender, D. Bojovic, S. Bony, S. Bordoni, P. Brehmer, M. Dengler, E. Dutra, S. Faye, E. Fischer, C. van Heerwaarden, C. Hohenegger, H. Järvinen, M. Jochum, T. Jung, J.H. Jungclaus, N.S. Keenlyside, D. Klocke, H. Konow, M. Klose, S. Malinowski, O. Martius, T. Mauritsen, J.P. Mellado, T. Mieslinger, E. Mohino, H. Pawłowska, K. Peters-von Gehlen, A. Sarré, P. Sobhani, P. Stier, L. Tuppi, P.L. Vidale, I. Sandu, B. Stevens, Geoscientific Model Development 18 (2025) 7735–7761. date_created: 2025-11-24T14:23:07Z date_published: 2025-10-23T00:00:00Z date_updated: 2025-11-25T12:33:05Z day: '23' ddc: - '550' department: - _id: CaMu doi: 10.5194/gmd-18-7735-2025 file: - access_level: open_access checksum: 0f6a4af94e3a6be773d0051256bcecf5 content_type: application/pdf creator: dernst date_created: 2025-11-25T12:02:30Z date_updated: 2025-11-25T12:02:30Z file_id: '20692' file_name: 2025_GeosciModelDev_Segura.pdf file_size: 8618996 relation: main_file success: 1 file_date_updated: 2025-11-25T12:02:30Z has_accepted_license: '1' intvolume: ' 18' issue: '20' language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 7735-7761 publication: Geoscientific Model Development publication_identifier: eissn: - 1991-9603 publication_status: published publisher: Copernicus Publications quality_controlled: '1' scopus_import: '1' status: public title: 'nextGEMS: Entering the era of kilometer-scale Earth system modeling' 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: 18 year: '2025' ... --- 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. npj Climate and Atmospheric Science. 2025;8. doi:10.1038/s41612-024-00848-2 apa: Tompkins, A. M., Casallas Garcia, A., & De Vera, M. V. (2025). Drivers of mesoscale convective aggregation and spatial humidity variability in the tropical western Pacific. Npj Climate and Atmospheric Science. Springer Nature. https://doi.org/10.1038/s41612-024-00848-2 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.” Npj Climate and Atmospheric Science. Springer Nature, 2025. https://doi.org/10.1038/s41612-024-00848-2. 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,” npj Climate and Atmospheric Science, 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.” Npj Climate and Atmospheric Science, vol. 8, 69, Springer Nature, 2025, doi:10.1038/s41612-024-00848-2. 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' file: - access_level: open_access checksum: a62c4fd5ddc1b240ed1e755d02ef7c05 content_type: application/pdf creator: acasalla date_created: 2025-02-24T10:18:47Z date_updated: 2025-02-24T10:18:47Z file_id: '19081' file_name: Casallas_npj_2025.pdf file_size: 5807997 relation: main_file - access_level: open_access checksum: 101072da7cbcc8b44aa47e3317546f78 content_type: application/pdf creator: acasalla date_created: 2025-02-24T10:24:12Z date_updated: 2025-02-24T10:24:12Z file_id: '19082' file_name: Casallas_npj_2025_SM.pdf file_size: 13703455 relation: main_file success: 1 file_date_updated: 2025-02-24T10:24:12Z has_accepted_license: '1' intvolume: ' 8' isi: 1 language: - iso: eng 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 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: 8 year: '2025' ... --- OA_place: publisher OA_type: gold _id: '19416' 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. Journal of Advances in Modeling Earth Systems. 2025;17(3). doi:10.1029/2024MS004791 apa: Casallas Garcia, A., Tompkins, A. M., Muller, C. J., & Thompson, G. (2025). Sensitivity of self-aggregation and the key role of the free convection distance. Journal of Advances in Modeling Earth Systems. Wiley. https://doi.org/10.1029/2024MS004791 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.” Journal of Advances in Modeling Earth Systems. Wiley, 2025. https://doi.org/10.1029/2024MS004791. 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,” Journal of Advances in Modeling Earth Systems, 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.” Journal of Advances in Modeling Earth Systems, vol. 17, no. 3, e2024MS004791, Wiley, 2025, doi:10.1029/2024MS004791. 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' file: - access_level: open_access checksum: bc32677e63f8abb07b330f4a08da796d content_type: application/pdf creator: acasalla date_created: 2025-03-19T07:58:21Z date_updated: 2025-03-19T07:58:21Z file_id: '19417' file_name: Casallas_et_al_2025_dclr.pdf file_size: 18285343 relation: main_file file_date_updated: 2025-03-19T07:58:21Z 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. Remote Sensing of Environment. 2025;324. doi:10.1016/j.rse.2025.114761 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. Remote Sensing of Environment. Elsevier. https://doi.org/10.1016/j.rse.2025.114761 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.” Remote Sensing of Environment. Elsevier, 2025. https://doi.org/10.1016/j.rse.2025.114761. ieee: F. Antezana-Lopez et al., “High-resolution anthropogenic emission inventories with deep learning in northern South America,” Remote Sensing of Environment, 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.” Remote Sensing of Environment, vol. 324, 114761, Elsevier, 2025, doi:10.1016/j.rse.2025.114761. 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' ...