The Computational Earth Sciences (CES) group is a multidisciplinary team within the Earth Sciences Department of the Barcelona Supercomputing Center (BSC) that develops, maintains, and optimises computational applications, tools and infrastructures supporting environmental and climate research.

CES brings together computer scientists and engineers who work closely with other scientific teams to ensure efficient, scalable, and sustainable use of Information Technology (IT) resources, with a special focus on High-Performance Computing (HPC). The group’s mission is to enable and accelerate scientific discovery in Earth system modelling, atmospheric processes, ocean information systems, and air quality studies through advanced computing, data management, and artificial intelligence (AI) techniques.

The group’s activities focus on the following areas:

• Efficient use of HPC resources: Design, implement, and maintain computational methodologies and frameworks that enable Earth researchers to perform large-scale simulations and data analyses effectively. This includes ensuring adequate storage and computational resources.

• Software optimization and HPC adaptation: Research, develop and adapt scientific software and Earth system models to run efficiently on current and next-generation HPC architectures, moving towards exascale computing. This includes profiling, parallelization, GPU adaptation and co-design for novel technologies.

• Data management and dissemination: Build and maintain frameworks for storing, standardizing, and disseminating model outputs and datasets generated by the Earth Sciences Department, promoting open science and interoperability with external research and service communities.

• Computational workflows: Develop automated workflows and workflow management software for running complex Earth system model experiments across diverse HPC environments, ensuring portability, scalability, and efficiency through robust software engineering, collaboration, and continuous training.

• Scientific software development: Design, implement, and maintain efficient, portable, and well-documented tools for data processing, diagnostics, and visualization, ensuring high performance, scalability, and accessibility to support Earth system modelling, analysis, and collaborative research.

• IT infrastructure: Maintain an IT infrastructure that ensures an efficient working environment for the development of the BSC-ES research and services, including the provision of sufficient storage to reduce this specific vulnerability of the department.

• Good practices and collaborative workflows: Provide guidance on coding standards, version control, testing, and collaborative software development to improve productivity, ensure reproducibility, and facilitate onboarding of new team members.

• Training and technical support: Deliver continuous training and technical assistance to researchers and IT staff to ensure effective and sustainable use of computational resources and tools.

• Integration of Artificial Intelligence: Explore and apply AI and machine learning methods to solve Earth Sciences problems, such as speeding up numerical simulations, improving predictive skill, and creating human-machine interfaces. Additionally, support data-driven research in climate and atmospheric sciences.

• European integration and computational excellence: Actively engage in European and international research initiatives to foster collaboration, excellence, and impact in the field of computational Earth system sciences. Contribute to Horizon Europe projects, Centres of Excellence, and related communities to strengthen the group’s role within the European HPC and climate research ecosystem.

The CES group is led by Mario Acosta and Miguel Castrillo, and is organised into four specialised teams and eight units, each addressing complementary aspects of computational Earth sciences:

• Artificial Intelligence Team (AIT)
• Data and Diagnostics Team (DDT)
• High Performance Computing for Earth Science Team (HPC4ES)
• Models and Workflows Team (MWT)

• Climate Model Development and HPC Adaptation
• EC-Earth
• Emissions
• GPU Computing
• MONARCH Development and HPC Adaptation
• Numerical Development and Scientific Evaluation
• R Tools
• Web Development

• List of Group Members

In this section, one can find some guidelines when starting working in CES

• 2017
  
• 2018
  
• 2019
  
• 2020
  
• 2021
  
• 2022
  
• 2023
  
• 2024
  
• 2025

In the CES group, we are not only computer guys and girls, we are also cooks! Take a look!

• Autosubmit
• ESMValTool
• SUNSET

Department Git projects

When adding new publications, please, follow these formatting rules:

• All publications follow an alphabetical ascending order of the first author's name within a given year
• Naming convention: surname first author, name initials, initial first name and surname of following authors (year of publication). Title. Journal, volume, pages, doi:xxx (all as part of a link to the publication web site). Open Access (if applicable) (projects that appear in the acknowledgements) [initials of the ES department's group(s) of the author(s) (e.g. CES + AC, CVC, ESS, GHR, GES)]
• If the publication is not open access, link the pdf file of the publication to the first surname in the list of authors with the following naming convention of the pdf file: username_journalname_year.pdf and upload the file to the wiki. The file won't be accessible to external users

Useful CES references to add in ES publications.

2025

1. Cappello, F., M. Acosta, E. Agullo, H. Anzt, J. Calhoun, S. Di, L. Giraud, T. Grützmacher, S. Jin, K. Sano, K. Sato, A. Singh, D. Tao, J. Tian, T. Ueno, R. Underwood, F. Vivien, X. Yepes, Y. Kazutomo and B. Zhang (2025). Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Generation Computer Systems, 163, https://doi.org/10.1016/j.future.2024.05.022. (OEMES) [CES].
2. Colette, A., G. Collin, F. Besson, E. Blot, V. Guidard, F. Meleux, A. Royer, V. Petiot, C. Miller, O. Fermond, A. Jeant, M. Adani, J. Arteta, A. Benedictow, R. Bergström, D. Bowdalo, J. Brandt, G. Briganti, A.C. Carvalho, J.H. Christensen, F. Couvidat, I. D’Elia, M. D’Isidoro, H. Denier van der Gon, G. Descombes, E. Di Tomaso, J. Douros, J. Escribano, H. Eskes, H. Fagerli, Y. Fatahi, J. Flemming, E. Friese, L. Frohn, M. Gauss, C. Geels, G. Guarnieri, M. Guevara, A. Guion, J. Guth, R. Hänninen, K. Hansen, U. Im, R. Janssen, M. Jeoffrion, M. Joly, L. Jones, O. Jorba, E. Kadantsev, M. Kahnert, J.W. Kaminski, R. Kouznetsov, R. Kranenburg, J. Kuenen, A.C. Lange, J. Langner, V. Lannuque, F. Macchia, A. Manders, M. Mircea, A. Nyiri, M. Olid, C. Pérez García-Pando, Y. Palamarchuk, A. Piersanti, B. Raux, M. Razinger, L. Robertson, A. Segers, M. Schaap, P. Siljamo, D. Simpson, M. Sofiev, A. Stangel, J. Struzewska, C. Tena, R. Timmermans, T. Tsikerdekis, S. Tsyro, S. Tyuryakov, A. Ung, A. Uppstu, A. Valdebenito, P. van Velthoven, L. Vitali, Z. Ye, V.-H. Peuch and L. Rouïl (2025). Copernicus Atmosphere Monitoring Service – Regional Air Quality Production System v1.0. Geosci. Model Dev., 18, 6835–6883, https://doi.org/10.5194/gmd-18-6835-2025 . Open Access (CAMS, 2021 SGR 01550, PID-2022-140843OB-I00) [AC,CES]
3. Costa-Surós, M., M. Gonçalves Ageitos, M. Chatziparaschos, P. Georgakaki, M. A. Thomas, G. Montané Pinto, S. Myriokefalitakis, T. van Noije, P. Le Sager, M. Kanakidou, A. Nenes, C. Pérez García-Pando (2025): Implementation of Primary and Secondary Ice Production in EC-Earth3-AerChem: Global Impacts and Insights, Atmospheric Chemistry and Physics EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-4659. Open Access (FRAGMENT, FORCeS, CERTAINTY, FOCI, AXA Chair, STARS M. Costa-Surós (H2020-MSCA-COFUND-2016-754433), RES-AECT-2023-1-0008, RES-AECT-2023-3-0026, PRACE) [AC, CES]
4. de Paula Kinoshita, B., E. G. Nogales, M. G. C. Marciani, M. C. Melguizo (2025). FAIR Digital Objects in Autosubmit Workflows. Open Conference Proceedings, 5. https://doi.org/10.52825/ocp.v5i.1416. Open Access [CES]
5. Keller, K. R., M. Alerany Solé, and M. Acosta (2025). Replicability in Earth System Models. EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-1367, 2025. Open Access [CES]
6. Martin-Martinez, E., A. Frigola, E. Moreno-Chamarro, D. Kuznetsova, S. Loosveldt-Tomas, M. Samsó Cabré, P.-A. Bretonnière, and P. Ortega (2025). Effect of horizontal resolution in North Atlantic mixing and ocean circulation in the EC-Earth3P HighResMIP simulations, Earth System Dynamics, 16, 1343–1364, https://doi.org/10.5194/esd-16-1343-2025 Open Access (STREAM, EERIE, SGR2021_CVC) [CES, CVC]
7. Moreno-Chamarro, E., T. Arsouze, M. Acosta, P.-A. Bretonnière, M. Castrillo, E. Ferrer, A. Frigola, D. Kuznetsova, E. Martin-Martinez, P. Ortega and S. Palomas (2025). The very-high-resolution configuration of the EC-Earth global model for HighResMIP. Geoscientific Model Development, 18, 461–482, https://doi.org/10.5194/gmd-18-461-2025. Open Access (PRIMAVERA, STREAM, EERIE) [CVC, CES]
8. Olmo, M.E., P. Cos, D. Campos, Á.G. Muñoz, V. Altava-Ortiz, A. Barrera-Escoda, M. Jury, S. Loosveldt-Tomas, P.-A. Bretonniere, F.J. Doblas-Reyes and A. Soret (2025). Filtering CMIP6 models in the Euro-Mediterranean based on a circulation patterns approach. Weather and Climate Extremes, 48, 100765, https://doi.org/10.1016/j.wace.2025.100765. Open access (CLIMCAT, AI4S) [CES, ESS,GES]
9. Palomas, S., M. C. Acosta, G. Utrera, E. Tourigny (2025). Reducing time and computing costs in EC-Earth: an automatic load-balancing approach for coupled Earth system models. Geoscientific Model Development, 17, 3081–3098, 2024, https://doi.org/10.5194/gmd-18-3661-2025. Open Access (OEMES (PID2020-116324RA-I00), ISENES3 (H2020-GA-824084), ESiWACE3 (101093054)) [CES, CVC]
10. Paronuzzi-Ticco, S.V., G. Utrera and M.C. Acosta (2025). Efficient variable precision reduction in chaotic climate models: Analysis of the NEMO case in the Destination Earth project. Computers & Geosciences, 205, 105989, https://doi.org/10.1016/j.cageo.2025.105989. Open Access [CES]
11. Soiland-Reyes, S., P. Groth, C. Goble, and contributors including B. de Paula Kinoshita (2025). FAIR research Objects and Computational Workflows - A Linked Data Approach. Zenodo. https://zenodo.org/records/13359051/files/phd-stian-2024-08-22.pdf. Open Access [CES]
12. Wedi, N., Sandu, I., Bauer, P., Acosta, M., Andersen, R. C., Andrae, U., Auger, L., Balsamo, G., Baousis, V., Bennett, V., Bennett, A., Buontempo C., Bretonnière, P-A., Capell, R., Castrillo, M., Chantry, M., Chevallier, M., Correa, R., Davini, P.,, Denby, L., Doblas-Reyes, F., Dueben, P., Fischer, C., Frauen, C., Frogner, I-L., Früh, B., Gascón, E., Gérard, E., Gorwits, O., Geenen, T., Grayson, K., Guenova-Rubio, N., Hadade, I., von Hardenberg, J., Haus, U., Hawkes, J., Hirtl, M., Hoffmann, J., Horvath, K., Järvinen, H., Jung, T., Kann, A., Klocke, D., Koldunov, N., Kontkanen, J., Sievi-Korte, O., Kristiansen, J., Kuwertz, E., Mäkelä, J., Maljutenko, I., Manninen, P., McKnight, U., Milinski, S., Mueller, A., McNally, A., Modigliani, U., Narayanappa, D., Pagh Nielsen, K., Nipen, T., Nortamo, H., Peuch, V., Polade, S., Quintino, T., Schicker, I., Reuter, B., Smart, S., Sleigh, M., Suttie, M., Termonia, P., Thober, S., Randriamampianina, R., Theeuwes, N., Thiemert, D., Vannière, B., Vannitsem, S., Wittmann, C., Yang, X., Pontaud, M., Stevens, B., Pappenberger, F. (2025). Implementing digital twin technology of the earth system in Destination Earth. Journal of the European Meteorological Society, 3, 100015. https://doi.org/10.1016/j.jemets.2025.100015 Open Access [ESS, CES]
13. Wilkinson, S. R., M. Aloqalaa, K. Belhajjame, M. R. Crusoe, B. de Paula Kinoshita, L. Gadelha, D. Garijo, O. J. R. Gustafsson, N. Juty, S. Kanwal, F.Z. Khan, J. Köster, K.P. Gehlen, L. Pouchard, R. K. Rannow, S. Soiland-Reyes, N. Soranzo, S. Sufi, Z. Sun, B. Vilne, M.A. Wouters, D. Yuen and C. Goble (2025). Applying the FAIR principles to computational workflows. Nature Scientific Data, 12, 328, https://doi.org/10.1038/s41597-025-04451-9. Open Access [CES]

2024

1. Acosta, M. C., S. Palomas, S. V. Paronuzzi Ticco, G. Utrera, J. Biercamp, P.-A. Bretonniere, R. Budich, M. Castrillo, A. Caubel, F. Doblas-Reyes, I. Epicoco, U. Fladrich, S. Joussaume, A. K. Gupta, B. Lawrence, P. Le Sager, G. Lister, M.-P. Moine, J.-C. Rioual, S. Valcke, N. Zadeh, and V. Balaji (2024). The computational and energy cost of simulation and storage for climate science: lessons from CMIP6. Geoscientific Model Development, 17, 3081–3098, 2024, https://doi.org/10.5194/gmd-17-3081-2024. Open Access (OEMES (PID2020-116324RA-I00), ISENES (H2020-GA-824084)) [CES,GES]
2. Colette, A., G. Collin, F. Besson, E. Blot, V. Guidard, F. Meleux, A. Royer, V. Petiot, C. Miller, O. Fermond, A. Jeant, M. Adani, J. Arteta, A. Benedictow, R. Bergström, D. Bowdalo, J. Brandt, G. Briganti, A.C. Carvalho, J.H. Christensen, F. Couvidat, I. D’Elia, M. D’Isidoro, H. Denier van der Gon, G. Descombes, E. Di Tomaso, J. Douros, J. Escribano, H. Eskes, H. Fagerli, Y. Fatahi, J. Flemming, E. Friese, L. Frohn, M. Gauss, C. Geels, G. Guarnieri, M. Guevara, A. Guion, J. Guth, R. Hänninen, K. Hansen, U. Im, R. Janssen, M. Jeoffrion, M. Joly, L. Jones, O. Jorba, E. Kadantsev, M. Kahnert, J.W. Kaminski, R. Kouznetsov, R. Kranenburg, J. Kuenen, A.C. Lange, J. Langner, V. Lannuque, F. Macchia, A. Manders, M. Mircea, A. Nyiri, M. Olid, C. Pérez García-Pando, Y. Palamarchuk, A. Piersanti, B. Raux, M. Razinger, L. Robertson, A. Segers, M. Schaap, P. Siljamo, D. Simpson, M. Sofiev, A. Stangel, J. Struzewska, C. Tena, R. Timmermans, T. Tsikerdekis, S. Tsyro, S. Tyuryakov, A. Ung, A. Uppstu, A. Valdebenito, P. van Velthoven, L. Vitali, Z. Ye, V.-H. Peuch and L. Rouïl (2024). Copernicus Atmosphere Monitoring Service – Regional Air Quality Production System v1.0. EGUsphere [preprint] https://doi.org/10.5194/egusphere-2024-3744. Open Access [AC,CES]
3. Guzman Ruiz C., M. Acosta, O. Jorba, E. Cesar Galobardes, M. Dawson, G. Oyarzun, C. Pérez García-Pando and K. Serradell (2024). Optimized thread-block arrangement in a GPU implementation of a linear solver for atmospheric chemistry mechanisms. Computer Physics Communications, 302, 109240, https://doi.org/10.5194/essd-16-337-2024. (BROWNING, CAROL, SGR-AC, AXA) [CES,AC]
4. Jones, C.G., Adloff, F., Booth, B. B. B., Cox, P. M., Eyring, V., Friedlingstein, P., Frieler, K., Hewitt, H. T., Jeffery, H. A., Joussaume, S., Koenigk, T., Lawrence, B. N., O'Rourke, E., Roberts, M. J., Sanderson, B. M., Séférian, R., Somot, S., Vidale, P. L., van Vuuren, D., Acosta, M., Bentsen, M., Bernardello, R., Betts, R., Blockley, E., Boé, J., Bracegirdle, T., Braconnot, P., Brovkin, V., Buontempo, C., Doblas-Reyes, F.J., Donat, M., Epicoco, I., Falloon, P., Fiore, S., Frölicher, T., Fučkar, N. S., Gidden, M. J., Goessling, H. F., Graversen, R. G., Gualdi, S., Gutiérrez, J. M., Ilyina, T., Jacob, D., Jones, C. D., Juckes, M., Kendon, E., Kjellström, E., Knutti, R., Lowe, J., Mizielinski, M., Nassisi, P., Obersteiner, M., Regnier, P., Roehrig, R., Salas y Mélia, D., Schleussner, C.-F., Schulz, M., Scoccimarro, E., Terray, L., Thiemann, H., Wood, R. A., Yang, S., and Zaehle, S. (2024). Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy. Earth System Dynamics, 15, 1319–1351, https://doi.org/10.5194/esd-15-1319-2024. Open Access
5. Oliveira, K., M. Guevara, O. Jorba, H. Petetin, D. Bowdalo, C. Tena, G. Montané Pinto, F. López and C. Pérez García-Pando (2024). On the uncertainty of anthropogenic aromatic volatile organic compound emissions: model evaluation and sensitivity analysis. [Atmospheric Chemistry and Physics, 24, 7137–7177, https://doi.org/10.5194/acp-24-7137-2024. Open Access (Plan Nacional del Ozono, BROWNING, VITALISE, Red Temática ACTRIS España, AXA Chair and FRAGMENT) [CES, AC]
6. Pérez-Zanón, N., V. Agudetse, E. Baulenas, P.A. Bretonnière, C. Delgado-Torres, N. González-Reviriego, A. Manrique-Suñén, A. Nicodemou, M. Olid, Ll. Palma, M. Terrado, B. Basile, F. Carteni, A. Dente, C. Ezquerra, F. Oldani, M. Otero, F. Santos-Alves, M. Torres, J. Valente, A. Soret (2024) Lessons learned from the co-development of operational climate forecast services for vineyards management. Clim. Serv. 26, 100513, https://doi.org/10.1016/j.cliser.2024.100513 Open Access (vitiGEOSS, ASPECT) [CES, ESS]

2023

1. Acosta, M. C., S. Palomas and E. Tourigny (2023). Balancing EC-Earth3 improving the performance of EC-Earth CMIP6 configurations by minimizing the coupling cost. Earth and Space Science, 10. https://doi.org/10.1029/2023EA002912. Open Access [CES, CVC]
2. Bergas-Massó, E., M. Gonçalves Ageitos, S. Myriokefalitakis, R. L. Miller, T. van Noije, P. Le Sager, G. Montané Pinto and C. Pérez García-Pando (2023). Pre-industrial, present and future atmospheric soluble iron deposition and the role of aerosol acidity and oxalate under CMIP6 emissions. Earth's Future, 11, e2022EF003353, https://doi.org/10.1029/2022EF003353. Open Access (FRAGMENT, AXA Chair, NUTRIENT, FORCES, DOMOS, PRACE, RES) [CES, AC]
3. Calatrava, A., H. Asorey, J. Astalos, A. Azevedo, F. Benincasa, I. Blanquer, M. Bobak, F. Brasileiro, L. Codó, L. del Cano, B. Esteban, M. Ferret, J. Handl, T. Kerzenmacher, V. Kozlov, A. Křenek, R. Martins, M. Pavesio, A. J. Rubio-Montero and J. Sánchez-Ferrero (2023). A survey of the European Open Science Cloud services for expanding the capacity and capabilities of multidisciplinary scientific applications. Computer Science Review, 49, 100571, https://doi.org/10.1016/j.cosrev.2023.100571. Open Access (EOSC-synergy) [CES]
4. Delgado-Torres, C., M. G. Donat, A. Soret, N. Gonzalez-Reviriego, P.-A. Bretonnière, A.-C. Ho, N. Pérez-Zanón, M. Samsó Cabré, and F. J. Doblas-Reyes (2023). Multi-annual predictions of the frequency and intensity of daily temperature and precipitation extremes. Environmental Research Letters, https://doi.org/10.1088/1748-9326/acbbe1. Open Access (ASPECT) [CES, CVC, ESS]
5. Gonçalves Ageitos, M., V. Obiso, R. L. Miller, O. Jorba, M. Klose, M. Dawson, Y. Balkanski, J. Perlwitz, S. Basart, E. Di Tomaso, J. Escribano, F. Macchia, G. Montané, N. M. Mahowald, R. O. Green, D. R. Thompson, and C. Pérez García-Pando (2023). Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts. Atmospheric Chemistry and Physics, 23, 8623–8657, https://doi.org/10.5194/acp-23-8623-2023 . Open Access (FRAGMENT, AXA Chair, FORCES, NUTRIENT) [CES, AC]
6. Petetin, H., M. Guevara, S. Compernolle, D. Bowdalo, P.-A. Bretonnière, S. Enciso, O. Jorba, F. Lopez, A. Soret and C. Pérez García-Pando (2023) Potential of TROPOMI for understanding spatio-temporal variations in surface NO2 and their dependencies upon land use over the Iberian Peninsula. Atmospheric Chemistry and Physics, 23, 3905–3935, https://doi.org/10.5194/acp-23-3905-2023. Open Access (RyC H. Petetin, MITIGATE, VITALISE,AQ-WATCH, AXA Chair, ACTRIS Red temática, ACTRIC IMP, RES) [CES, AC]
7. Ruiz, C. G., M. Dawson, M. C. Acosta, O. Jorba, E. C. Galobardes, C. P. Garcia-Pando, K. Serradell (2023). Adapting Atmospheric Chemistry Components for Efficient GPU Accelerators. In X.-S. Yang, R. S. Sherratt, N. Dey, & A. Joshi (Eds.), Proceedings of Eighth International Congress on Information and Communication Technology (pp. 129–138). Singapore: Springer Nature. https://doi.org/10.1007/978-981-99-3091-3 11 . [CES, AC]

2022

1. Bergas-Massó, E., M.Gonçalves-Ageitos, S. Myriokefalitakis, R.L. Miller, T. van Noije, P. le Sager, G. Montané Pinto and C. Perez Garcia-Pando (2022). Pre-industrial, present and future atmospheric soluble iron deposition and the role of aerosol acidity and oxalate under CMIP6 emissions. Earth's Future, 11, e2022EF003353, https://doi.org/10.1029/2022EF003353. Open Access (AXA Chair, FRAGMENT, NUTRIENT, DOMOS)
2. Cos, J., F.J. Doblas-Reyes, M. Jury, R. Marcos, P.-A. Bretonnière and M. Samsó (2022). The Mediterranean climate change hotspot in the CMIP5 and CMIP6 projections. Earth System Dynamics, 13, 321–340, https://doi.org/10.5194/esd-13-321-2022. Open Access (EUCP).
3. Dawson, M.L., C. Guzman, J.H. Curtis, M. Acosta, S. Zhu, D. Dabdub, A. Conley, M. West, N. Riemer and O. Jorba (2022). Chemistry Across Multiple Phases (CAMP) version 1.0: An integrated multi-phase chemistry model. Geoscientific Model Development, 15, 3663–3689, https://doi.org/10.5194/gmd-15-3663-2022. Open Access (BROWNING, AXA Chair, MSCA 747048)
4. Delgado-Torres, C., M.G. Donat, N. Gonzalez-Reviriego, L-P. Caron, P.J. Athanasiadis, P.A. Bretonnière, N.J. Dunstone, A. Ho, D. Nicoli, K. Pankatz, A. Paxian, N. Pérez-Zanón, M.S. Cabré, B. Solaraju-Murali, A. Soret and F.J. Doblas-Reyes (2022). Multi-model forecast quality assessment of CMIP6 decadal predictions. Journal of Climate, 35, 4363-4382, https://doi.org/10.1175/JCLI-D-21-0811.1. (EUCP, C3S_34c)
5. Di Tomaso, E., J. Escribano, S. Basart, P. Ginoux, F. Macchia, F. Barnaba, F. Benincasa, P.-A. Bretonnière, A. Buñuel, M. Castrillo, E. Cuevas, P. Formenti, M. Gonçalves, O. Jorba, M. Klose, L. Mona, G. Montané Pinto, M. Mytilinaios, V. Obiso, M. Olid, N. Schutgens, A. Votsis, E. Werner and C. Pérez García-Pando (2022). The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007–2016). Earth System Science Data, 14, 2785–2816, https://doi.org/doi:10.5194/essd-14-2785-2022.
6. Döscher, R., M. Acosta, A. Alessandri, P. Anthoni, A. Arneth,T. Arsouze, T. Bergmann, R. Bernadello, S. Bousetta, L.-P. Caron, G. Carver, M. Castrillo, F. Catalano, I. Cvijanovic, P. Davini, E. Dekker, F.J. Doblas-Reyes, D. Docquier, P. Echevarria, U. Fladrich, R. Fuentes-Franco, M. Gröger, J. v. Hardenberg, J. Hieronymus, M.P. Karami, J.-P. Keskinen, T. Koenigk, R. Makkonen, F. Massonnet, M. Ménégoz, P.A. Miller, E. Moreno-Chamarro, L. Nieradzik, T. van Noije, P. Nolan, D. O’Donnell, P. Ollinaho, G. van den Oord, P. Ortega, O. Tintó Prims, A. Ramos, T. Reerink, C. Rousset, Y. Ruprich-Robert, P. Le Sager, T. Schmith, R. Schrödner, F. Serva, V. Sicardi, M. Sloth Madsen, B. Smith, T. Tian, E. Tourigny, P. Uotila, M. Vancoppenolle, S. Wang, D. Wårlind, U. Willén, K. Wyser, S. Yang, X. Yepes-Arbós and Q. Zhang (2022). The EC-Earth3 Earth system model for the Climate Model Intercomparison Project 6. Geoscientific Model Development, 15, 2973–3020, https://doi.org/10.5194/gmd-2020-446.
7. Escribano, J., E. Di Tomaso, O. Jorba, M. Klose, M. Gonçalves Ageitos, F. Macchia, V. Amiridis, H. Baars, E. Marinou, E. Proestakis, C. Urbanneck, D. Althausen, J. Bühl, R.-E. Mamouri and C. Pérez García-Pando (2022). Assimilating spaceborne lidar dust extinction can improve dust forecasts. Atmospheric Chemistry and Physics, 22, 535–560, https://doi.org/10.5194/acp-22-535-2022. Open Access (STARS J. Escribano, MSCA M. Klose, NUTRIENT, BROWNING, AXA Chair, FRAGMENT, PRACE, RES, ACTRIS, ACTRIS-2).
8. Falls, M., R. Bernardello, M. Castrillo, M. Acosta, J. Llort, M. Galí (2022). Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon. Geoscientific Model Development, 15, 14. https://doi.org/10.5194/gmd-15-5713-2022
9. Hodson, D.L.R., P.-A. Bretonnière, C. Cassou, P. Davini, N.P. Klingaman, K. Lohmann, J. Lopez-Parages, M. Martín-Rey, M.-P. Moine, P.-A. Monerie, D.A. Putrasahan, C.D. Roberts, J. Robson, Y. Ruprich-Robert, E. Sanchez-Gomez, J. Seddon and R. Senan (2022). Coupled climate response to Atlantic Multidecadal Variability in a multi-model multi-resolution ensemble. Climate Dynamics, https://doi.org/10.1007/s00382-022-06157-9. Open Access (PRIMAVERA, INADEC)
10. Lacagnina, C., F.J. Doblas-Reyes, G. Larnicol, C. Buontempo, A. Obregón, M. Costa-Surós, D. San-Martín, P.-A. Bretonnière, S.D. Polade, V. Romanova, D. Putero, F. Serva, A. Llabrés-Brustenga, A. Pérez and D. Cavaliere, O. Membrive, C. Steger, N. Pérez-Zanón, P. Cristofanelli, F. Madonna, M. Rosoldi, A. Riihelä and M.G. Díez (2022). Quality management framework for climate datasets. Data Science Journal, 21, 1–25, https://doi.org/10.5334/dsj-2022-010. Open Access (C3S_512)
11. Mahmood, R., M. G. Donat, P. Ortega, F.J. Doblas-Reyes, C. Delgado-Torres, M. Samsó and P.-A. Bretonnière (2022). Constraining low-frequency variability in climate projections to predict climate on decadal to multi-decadal time scales – a poor man's initialized prediction system. Earth System Dynamics, 13, 1437–1450, https://doi.org/10.5194/esd-13-1437-2022. Open Access (PATHFINDER, EUCP, AXA_Markus, RyC_Pablo)
12. Manzanas, R., V. Torralba, Ll. Lledó and P.-A. Bretonnière (2022). On the reliability of global seasonal forecasts: Sensitivity to ensemble size, hindcast length and region definition. Geophysical Research Letters, 49, e2021GL094662., https://doi.org/10.1029/2021GL094662. Open Access (FOCUS-Africa)
13. Petetin, H., D. Bowdalo, P.-A. Bretonnière, M. Guevara, O. Jorba, J. Mateu Armengol, M. Samso Cabre, K. Serradell, A. Soret and C. Pérez Garcia-Pando (2022). Model output statistics (MOS) applied to Copernicus Atmospheric Monitoring Service (CAMS) O3 forecasts: trade-offs between continuous and categorical skill scores. Atmos. Chem. Phys., 22, 11603–11630, https://doi.org/10.5194/acp-22-11603-2022. Open Access (STARS H. Petetin, MITIGATE, AXA Chair, VITALISE)
14. Pérez-Zanón, N., L.-P. Caron, S. Terzago, B. Van Schaeybroeck, L. Lledó, N. Manubens, E. Roulin, M.C. Alvarez-Castro, L. Batté, P.-A. Bretonnière, S. Corti, C. Delgado-Torres, M. Domínguez, F. Fabiano, I. Giuntoli, J. von Hardenberg, E. Sánchez-García, V. Torralba and D. Verfaillie (2022). Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information. Geoscientific Model Development, 15, 6115–6142, https://doi.org/10.5194/GMD-15-6115-2022. Open access (MEDSCOPE, S2S4E, EUCP)
15. Petetin, H., D. Bowdalo, P.-A. Bretonnière, M. Guevara, O. Jorba, J. Mateu Armengol, M. Samso Cabre, K. Serradell, A. Soret and C. Pérez Garcia-Pando (2022). Model output statistics (MOS) applied to Copernicus Atmospheric Monitoring Service (CAMS) O3 forecasts: trade-offs between continuous and categorical skill scores. Atmos. Chem. Phys., 22, 11603–11630, https://doi.org/10.5194/acp-22-11603-2022. Open Access (STARS H. Petetin, MITIGATE, AXA Chair, VITALISE)
16. Petetin, H., M. Guevara, S. Compernolle, D. Bowdalo, P.-A. Bretonnière, S. Enciso, O. Jorba, F. Lopez, A. Soret and C. Pérez García-Pando (2022). Potential of TROPOMI for understanding spatio-temporal variations in surface NO2 and their dependencies upon land use over the Iberian Peninsula. Atmospheric Chemistry and Physics, https://doi.org/10.5194/egusphere-2022-1056. Open Access (MITIGATE, AQ-WATCH, AXA Chair, VITALISE, ACTRIS)
17. Yepes-Arbós, X., G. van den Oord, M.C. Acosta and G.D. Carver (2022). Evaluation and optimisation of the I/O scalability for the next generation of Earth system models: IFS CY43R3 and XIOS 2.0 integration as a case study. Geoscientific Model Development, 15, 379–394, https://doi.org/10.5194/gmd-15-379-2022. Open Access (ESiWACE2, PRIMAVERA)

2021

1. Bilbao, R., S. Wild, P. Ortega, J. Acosta-Navarro, T. Arsouze, P.-A. Bretonnière, L.-P. Caron, M. Castrillo, R. Cruz-García, I. Cvijanovic, F.J. Doblas-Reyes, M. Donat, E. Dutra, P. Echevarría, A.-C. Ho, S. Loosveldt-Tomas, E. Moreno-Chamarro, N. Pérez-Zanon, A. Ramos, Y. Ruprich-Robert, V. Sicardi, E. Tourigny and J. Vegas-Regidor (2021). Assessment of a full-field initialised decadal climate prediction system with the CMIP6 version of EC-Earth. Earth System Dynamics, 12, 173-196, https://doi.org/10.5194/esd-2020-66. Open Access (EUCP, APPLICATE, INTAROS, CLINSA, PARAMOUR, ESA/CMUG, INADEC, SPFireSD, STARS_Simon, Beautriu de Pinos, JdlC_Juan, FPU, RyC_Markus, RyC_Pablo)
2. Guevara, M., O. Jorba, A. Soret, H. Petetin, D. Bowdalo, K. Serradell, C. Tena, H. Denier van der Gon, J. Kuenen, V.-H. Peuch and C. Pérez García-Pando (2021). Time-resolved emission reductions for atmospheric chemistry modelling in Europe during the COVID-19 lockdowns. Atmospheric Chemistry and Physics, 21, 773–797, https://doi.org/10.5194/acp-21-773-2021. Open Access (CAMS, VITALISE, BROWNING, NUTRIENT, VITALISE, FRAGMENT, AXA Chair, PRACE, RES, RyC Carlos Perez)
3. Guzman-Ruiz, C., M. Acosta, M. Dawson, O. Jorba, C. Pérez García-Pando and K. Serradell (2021). Accelerating Atmospheric Models using GPU. The 2020 International Conference on High Performance Computing & Simulation (HPCS 2020)
4. Klose, M., O. Jorba, M. Gonçalves Ageitos, J. Escribano, M.L. Dawson, V. Obiso, E. Di Tomaso, S. Basart, G. Montané Pinto, F. Macchia, P. Ginoux, J. Guerschman, C. Prigent, Y. Huang, J.F. Kok, R.L. Miller and C. Pérez García-Pando (2021). Mineral dust cycle in the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) Version 2.0. Geoscientific Model Development, 14, 6403–6444, https://doi.org/10.5194/gmd-14-6403-2021. Open Access (FRAGMENT, NUTRIENT, FORCES, AXA Chair, RyC Carlos Perez, PRACE, MSCA Martina Klose, CMUG-CCI3-TECHPROP, DustClim, MSCA Jeronimo Escribano)
5. Petrie, R., S. Denvil, S. Ames, G. Levavasseur, S. Fiore, C. Allen, F. Antonio, K. Berger, P.-A. Bretonnière, L. Cinquini, E. Dart, P. Dwarakanath, K. Druken, B. Evans, L. Franchistéguy, S. Gardoll, E. Gerbier, M. Greenslade, D. Hassell, A. Iwi, M. Juckes, S. Kindermann, L. Lacinski, M. Mirto, A.B. Nasser, P. Nassisi, E. Nienhouse, S. Nikonov, A. Nuzzo, C. Richards, S. Ridzwan, M. Rixen, K. Serradell, K. Snow, A. Stephens, M. Stockhause, H. Vahlenkamp and R. Wagner (2021). Coordinating an operational data distribution network for CMIP6 data. Geoscientific Model Development, 14, 629–644, https://doi.org/10.5194/gmd-2020-153.
6. Quesada, A., K. Serradell and M. Acosta (2021). Evaluation of Amazon Web Services for running the NMMB-MONARCH operational model. The 2020 International Conference on High Performance Computing & Simulation (HPCS 2020)
7. Ramon, J., Ll. Lledó, P.A. Bretonniere, M. Samsó and F.J. Doblas-Reyes (2021). A perfect prognosis downscaling methodology for seasonal prediction of local-scale wind speeds. Environmental Research Letters, 16, 054010, https://doi.org/10.1088/1748-9326/abe491. Open Access (INDECIS)
8. Solaraju-Murali, B., N. González-Reviriego, L.-P. Caron, A. Ceglar, A. Toreti, M. Zampieri, P.-A. Bretonniere, M. Samso Cabre and F.J. Doblas-Reyes (2021). Multi-annual prediction of drought and heat stress to support decision making in the wheat sector. npj Climate and Atmospheric Science, 4, 34, https://doi.org/10.1038/s41612-021-00189-4. Open Access (C3S_34c, EUCP, MED-GOLD, FOCUS-Africa, CLINSA)
9. Uruchi, W., M. Castrillo and D. Beltrán (2021). Autosubmit GUI: A Javascript-based graphical user interface to monitor experiments workflow execution. The Journal of Open Source Software, 6, 3049, https://doi.org/10.21105/joss.03049. Open Access (Autosubmit, CPMIP, CMIP6, ecFlow, Cylc, FancyTree, Vis.js, React Google Charts)

2020

1. Acosta Navarro, J.C., P. Ortega, L. Batté, D. Smith, P.A. Bretonnière, V. Guemas, F. Massonnet, V. Sicardi, V. Torralba, E. Tourigny and F.J. Doblas‐Reyes (2020). Link between autumnal Arctic sea ice and Northern Hemisphere winter forecast skill. Geophysical Research Letters, 47, e2019GL086753, https://doi.org/10.1029/2019GL086753. (APPLICATE, PRIMAVERA, INTAROS, ESA/CMUG, Juan Acosta-JdlC, SPFireSD)
2. Haarsma, R., M. Acosta, R. Bakhshi, P.-A. Bretonnière, L.-P. Caron, M. Castrillo, S. Corti, P. Davini, E. Exarchou, F. Fabiano, U. Fladrich, R. Fuentes Franco, J. García-Serrano, J. von Hardenberg, T. Koenigk, X. Levine, V. Meccia, T. van Noije, G. van den Oord, F.M. Palmeiro, M. Rodrigo, Y. Ruprich-Robert, P. Le Sager, E. Tourigny, S. Wang, M. van Weele and K. Wyser (2020). HighResMIP versions of EC-Earth: EC-Earth3P and EC-Earth3P-HR. Description, model performance, data handling and validation. Geoscientific Model Development, 13, 3507-3527, https://doi.org/10.5194/gmd-2019-350. Open Access (PRIMAVERA INADEC)
3. Lledó, Ll., I. Cionni, V. Torralba, P.A. Bretonnière and M. Samsó (2020). Seasonal prediction of Euro-Atlantic teleconnections from multiple systems. Environmental Research Letters, 15, 074009, https://doi.org/10.1088/1748-9326/ab87d2. Open Access (S2S4E)
4. Massonnet, F., M. Ménégoz, M. Acosta, X. Yepes-Arbós, E. Exarchou and F.J. Doblas-Reyes (2020). Replicability of the EC-Earth3 Earth System Model under a change in computing environment. Geoscientific Model Development, 13, 1165-1178, https://doi.org/10.5194/gmd-2019-91. (IS-ENES2, ESiWACE, PRIMAVERA, APPLICATE, HIATUS)
5. Palmeiro, F.M., J. Garcia-Serrano, O. Bellprat, P.A. Bretonnière and F.J. Doblas-Reyes (2020). Boreal winter stratospheric variability in EC-EARTH: High-top versus low-top. Climate Dynamics, 54, 3135–3150, https://doi.org/10.1007/s00382-020-05162-0. (DANAE, PRIMAVERA, MEDSCOPE)
6. Petetin, H., D. Bowdalo, A. Soret, M. Guevara, O. Jorba, K. Serradell and C. Pérez García-Pando (2020). Meteorology-normalized impact of the COVID-19 lockdown upon NO2 pollution in Spain. Atmospheric Chemistry and Physics, 20, 11119–11141, doi:10.5194/acp-20-11119-2020. Open Access (STARS H. Petetin, AXA Chair, RyC Carlos Perez, ACTRIS, NUTRIENT, BROWNING, FRAGMENT, PRACE, BSC-CNS “Centro de Excelencia Severo Ochoa 2015-2019” program)

2019

1. Basart, S., S. Nickovic, E. Terradellas, E. Cuevas, C. Pérez García-Pando, G.García-Castrillo, E. Werner and F. Benincasa (2019) The WMO SDS-WAS Regional Center for Northern Africa, Middle East and Europe, E3S Web of Conferences, 99, 04008, https://doi.org/10.1051/e3sconf/20199904008. Open Access (SDS-WAS,inDust, AXA, DustClim, ACTRIS-2)
2. Tintó Prims, O., M. Castrillo, M.C. Acosta, O. Mula-Valls, A. Sanchez Lorente, K. Serradell, A. Cortés and F.J. Doblas-Reyes (2019). Finding, analysing and solving MPI communication bottlenecks in Earth System models. Journal of Computational Sciences, 36, 100864, https://doi.org/10.1016/j.jocs.2018.04.015. Open Access (ESiWACE, SO)
3. Tintó Prims, O. Acosta M.C., Castrillo M. , Paronuzzi Ticco S. V., Serradell K., Cortés A., Doblas-Reyes F.J. (2019). Discriminating accurate results in nonlinear models - Short conference paper for the 4th International Workshop on High Performance Computing and Simulations for Weather, Climate, and Solid Earth Sciences.
4. Tintó Prims, O., M.C. Acosta, A.M. Moore, M. Castrillo, K. Serradell, A. Cortés and F.J. Doblas-Reyes (2019). How to use mixed precision in ocean models: exploring a potential reduction of numerical precision in NEMO 4.0 and ROMS 3.6. Geoscientific Model Development, 12, 3135-3148, https://doi.org/10.5194/gmd-12-3135-2019. Open Access (ESiWACE, SO1)

2018

1. Lawrence, B.N., M. Rezny, R. Budich, P. Bauer, J. Behrens, M. Carter, W. Deconinck, R. Ford, C. Maynard, S. Mullerworth, C. Osuna, A. Porter, K. Serradell, S. Valcke, N. Wedi and S. Wilson (2018). Crossing the chasm: how to develop weather and climate models for next generation computers? Geoscience Model Development, 11, 1799-1821, https://doi.org/10.5194/gmd-11-1799-2018. Open Access (IS-ENES2)
2. Manubens, N., L.-P. Caron, A. Hunter, O. Bellprat, E. Exarchou, N.S. Fučkar, J. Garcia-Serrano, F. Massonnet, M. Ménégoz, V. Sicardi, L. Batté, C. Prodhomme, V. Torralba, N. Cortesi, O. Mula-Valls, K. Serradell, V. Guemas and F.J. Doblas-Reyes (2018). An R package for climate forecast verification. Environmental Modelling & Software, 103, 29-42, https://doi.org/10.1016/j.envsoft.2018.01.018. (SPECS, EUCLEIA, PREFACE, EUPORIAS, QA4Seas, VERITAS-CCI)
3. Ménégoz, M., C. Cassou, D. Swingedouw, Y. Ruprich-Robert, P.-A. Bretonnière and F.J. Doblas-Reyes (2018). Role of the Atlantic Multidecadal Variability in modulating the climate response to a Pinatubo-like volcanic eruption. Climate Dynamics, 51, 1863-1883, https://doi.org/10.1007/s00382-017-3986-1. (SPECS, VOLCADEC)
4. Serradell, K., M. Castrillo and M. Acosta (2018). Optimization of EC-Earth 3.2 model. PRACE White paper, 2018.

2017

1. Guevara, M., C. Tena, A. Soret, K. Serradell, D. Guzmán, A. Retama, P. Camacho, M. Jaimes-Palomera and A. Mediavilla (2017). An emission processing system for air quality modelling in the Mexico City metropolitan area: Evaluation and comparison of the MOBILE6.2-Mexico and MOVES-Mexico traffic emissions.Science of The Total Environment, 584-585, 882-900, https://doi.org/10.1016/j.scitotenv.2017.01.135. (AQFS-MexDF)
2. Tintó, O., M.C. Acosta. M. Castrillo, A. Cortes, A. Sanchez, K. Serradell and F.J. Doblas-Reyes (2017). Optimizing domain decomposition in an ocean model: the case of NEMO. Procedia of Computer Sciences, 108, 776-785, https://doi.org/10.1016/j.procs.2017.05.257.

2016

1. Fučkar, N.S, F. Massonnet, V. Guemas, J. García-Serrano, O. Bellprat, F.J. Doblas-Reyes and M. Acosta (2016). Record low northern hemisphere sea ice extent in March 2015. In Explaining Extreme Events of 2015 from a Climate Perspective, Bulletin of American Meteorological Society, 97, S136-S140, https://doi.org/10.1175/BAMS-D-16-0153.1. Open Access (EUCLEIA, SPECS, PRIMAVERA, JdC)

2020

1. Paronuzzi Ticco, S.V., Acosta, M. C., Castrillo, M., Tintó, O., Serradell, K. (2020) Keeping computational performance analysis simple: an evaluation of the NEMO BENCH test (2020). Prace white paper. https://zenodo.org/records/4287446#.X9CgCEFKiV5

2018

1. Doblas-Reyes, F.J., J.C. Acosta Navarro, M. Acosta, O. Bellprat, R. Bilbao, M. Castrillo, N. Fučkar, V. Guemas, Ll. Lledó, M. Ménégoz, C. Prodhomme, K. Serradell, O. Tintó, L. Batté, D. Volpi, A. Ceglar, R. Haarsma and F. Massonnet (2018). Using EC-Earth for climate prediction research. ECMWF Newsletter, 154, 35-40.

2017

1. Benincasa, F., P.A. Bretonnière, A. Sánchez, M. Terrado and F.J. Doblas-Reyes (2017). Big data, canvi climàtic i qualitat de l'aire. Punt Ambiental Num. 26, Maig-Juliol 2017, Col·legi d'Ambientòlegs de Catalunya (COAMB)

2015

1. Doblas-Reyes, F.J., F. Benincasa and P.-A. Bretonnière (2015). Big Data para el estudio del cambio climático y la calidad del aire. Revista Fundación Ramón Areces, 14, 111-117. https://www.fundacionareces.es/fundacionareces/portal.do?TR=C&IDR=1450

2014

1. Benedetti, A. J. M. Baldasano, S. Basart, F. Benincasa, O. Boucher, M. E. Brooks, J.-P. Chen, P. R. Colarco, S. Gong, N. Huneeus, L. Jones, S. Lu, L. Menut, J.-J. Morcrette, J. Mulcahy, S. Nickovic, C. Pérez García-Pando, J. S. Reid, T. T. Sekiyama, T. Y. Tanaka, E. Terradellas, D. L. Westphal, X.-Y. Zhang and C.-H. Zhou (2014). Operational Dust Prediction. In: Knippertz P., Stuut JB. (eds) Mineral Dust. Springer, Dordrecht, https://doi.org/10.1007/978-94-017-8978-3_10.

Naming convention: title of the event (city, country, dates of the event (days month year)), title of the poster, first author (name of the project/s acknowledged). file Please keep the ascending chronological order

2025

• ELLIS Summer School 2025 (Jena, Germany, 1-5 September 2025), Historical Reconstruction and Future Projection of Land Surface Boundary Conditions, Amirpasha Mozaffari et al. pdf Googledoc
• EGU General Assembly 2025 (Vienna, Austria, 27-2 May 2025), Reconstruction of high-resolution historical Land Cover (LC) & Leaf Area Index (LAI) with Machine Learning, Amirpasha Mozaffari et al. pdf Googledoc
• ECMWF: Workshop on ancillary data for land surface and Earth system modelling (Bonn, Germany, 9-10 April 2025), Reconstruction of high-resolution historical Land Cover (LC) & Leaf Area Index (LAI) with Machine Learning, Amirpasha Mozaffari et al. pdf Googledoc

2024

• EGU General Assembly 2024 (Vienna, Austria, 14-19 April 2024), Collaboratively developing workflows at the BSC-ES, G. Montané Pinto (FOCI). PDF LaTeX source

2020

• EC-Earth meeting 2020, Madrid, Spain, 3-5 March 2020 (Cancelled, virtual meeting). Running and monitoring climate experiments easily with Autosubmit, W. Uruchi, P. Echevarria, M. Castrillo pdf

2018

• EC-Earth meeting - Lisbon, Portugal. 22-24 October 2018. CMORization of CMIP6 data: workflow from the data request to the final ESGF-publishable data. Arthur Ramos & Pierre-Antoine Bretonnière. pdf
• PASC 2018 - Basel, Switzerland. 2-4 July 2018. Performance Study of Earth System Models. CES. Mario Acosta. pdf
• Supercomputing 2015, Austin, Texas, 15 - 20 November 2015, Optimization of an Ocean Model Using Performance Tools Poster - Two-page extended abstract
• EGU General Assembly 2017 (EGU2017), Vienna, Austria, 24-28 April 2017, Simulation-based performance analysis of EC-Earth 3.2.0 using Dimemas pdf
• OpenIFS workshop 2017, Trieste, Italy, 5-9 June 2017, Performance study of OpenIFS: towards a more efficiently scalable model pdf

Please, follow the naming convention indicated below

• Naming convention: title of the presentation (title of the event, city, country, date of event with format days month year), first author (name of the project/s acknowledged) file in both pdf and ppt or odp formats
  
• Naming convention for files: yearmonthday_user_institution
  
• keep the ascending chronological order

2025

1. Auto-EC-Earth 4 and Script Engine integration (EC-Earth General Assembly, Online, 13th-17th October 2025), E. Ferrer pdf
2. Workshop on Artificial Intelligence for Carbon (Como, Italy, June 30 - July 2 2025), Reconstruction of historical land surface boundary conditions with ML, Amirpasha Mozaffari slides
3. The Wild West of Energy Profiling on EuroHPC Systems (ESA's LPS25, Vienna, Austria, 23-06-2025 till 27-06-2025), Okke van Eck (DEODE-phase 2) Link to slides with animations. pptx pdf
4. Scalar metrics for evaluating the scientific skill of Earth System Models (JpGU Meeting 2025, Chiba, Japan, 25 - 30 May 2025) Marta Alerany (HANAMI) pdf
5. The High Performance Climate & Weather Benchmark (17th JLESC workshop, Argonne National Laboratory, Lemont, USA, 13-15 May 2025), Xavier Yepes-Arbós (Severo Ochoa), pdf
6. HPC adaptation and developments for EC-Earth4 at BSC (EC-Earth GA, Stockholm, Sweden, 25-27 March 2025), Xavier Yepes-Arbós (CES SGR), pdf

2024

1. Destination Earth: Pionering the Future with Digital Twins, SNiC Conference , 27th of November 2024, Okke van Eck, public presentation, pptx , pdf with speaker notes , pdf without speaker notes
2. ML application for Downscaling historical Land Cover and Leaf Area Index data ( XXX Jornades de Meteorologia Eduard Fontserè, Barcelona, 23th November 2024), Amirpasha Mozaffari pdf (CERISE)
3. Workflow Provenance with RO-Crate in Autosubmit (High Performance Computer Knowledge Portal (HPCKP), Barcelona 8-9 May 2024)), Manuel G. Marciani pdf (DE_340, EDITO)
4. Workflow Provenance with RO-Crate in Autosubmit (European Geosciences Union (EGU) General Assembly, Vienna 14-19 April 2024)), Manuel G. Marciani pdf (DE_340, EDITO)
5. BSC testing protocol and tools (EC-Earth General Assembly, De Bilt, Netherlands, 19th-21st March 2024), E. Ferrer pdf

2023

1. T5.2 Back-end architecture (EDITO-Model Lab - VOML Co-design technical meeting, Toulouse/France, 19-20 October 2023), Miguel Castrillo, Daniel Beltrán, Bruno P. Kinoshita pptx
2. Overview of Autosubmit, Cylc, ecFlow and workflows in ESiWACE (ESiWACE3 hackathon: HPC workflows for climate models, Finland-remote, 17/Oct), Bruno P. Kinoshita, Miguel Castrillo pptx

2022

1. Extending XIOS lossy compression functionalities using SZ (14th JLESC workshop, Urbana, IL, USA, 28 September 2022) Xavier Yepes-Arbós pdf
2. Destination Earth project: implementation of Earth Digital Twins at BSC (JURES22, Cáceres, Spain, 15 September 2022) Kim Serradell pptx
3. DTO: HPC challenges (Digital Ocean Forum, Paris, France, 20-21st April 2022) , M. Castrillo pdf

This page contains technical memos that describe preliminary results (e.g. first version of a paper) or technical developments that are too long to be written on a single web page:

Naming convention: surname and initials of first author, initials and surname of following authors (year of publication). Title. WG Technical Memorandum YYYY-NNN, pages, file

2022

• Peña, C., Paronuzzi, S., Acosta, M. (2022). Nemo portable performance metrics, WG Technical Memorandum, 8, https://doi.org/doi:10.5281/zenodo.7290661

2018

• Massonnet, F., M. Ménégoz, M. C. Acosta, X. Yepes-Arbós, E. Exarchou and F. J. Doblas-Reyes (2018). Reproducibility of an Earth System Model under a Change in Computing Environment BSC-CPG Technical Memorandum 2018-002, 25 pp.
• Terradellas, E., E. Werner, S. Basart and F. Benincasa (2017) Warning Advisory System for Sand and Dust Storm in Burkina Faso SDS-WAS-NAMEE Technical Memorandum 2018-001, 9 pp.
• Yepes-Arbós, X., M.C. Acosta, G. van den Oord and G. Carver (2018). Computational aspects and performance evaluation of the IFS-XIOS integration. ECMWF Technical Memorandum 2018-825, 84pp.

2017

• Yepes-Arbós, X., M. C. Acosta, K. Serradell, A. Sanchez Lorente, F.J. Doblas-Reyes (2017). Simulation-based performance analysis of EC-Earth 3.2.0 using Dimemas. BSC-CES Technical Memorandum 2017-001, 30 pp.

2016

• Acosta, M.C., X. Yepes-Arbós, S. Valcke, E. Maisonnave, K. Serradell, O. Mula-Valls and F.J. Doblas-Reyes (2016). Performance analysis of EC-Earth 3.2: Coupling BSC-CES Technical Memorandum 2016-006, 38 pp.
• Gonçalves-Ageitos, M., S. Basart, M.T. Pay, E. Di Tomaso, M. Guevara, C. Pérez, P.A. Bretonnière, J. Cuadrado and K. Serradell (2016). Protocol for the AC data storage in esnas. BSC-AC Technical Memorandum 2016-002, 15 pp. BSC-AC 2016-002 Annex
• Yepes-Arbós, X., M.C. Acosta, K. Serradell, O. Mula-Valls, F.J. Doblas-Reyes (2016). Scalability and performance analysis of EC-Earth 3.2.0 using a new metric approach (Part I) BSC-CES Technical Memorandum 2016-001, 28 pp.
• Yepes-Arbós, X., M.C. Acosta, K. Serradell, O. Mula-Valls, F.J. Doblas-Reyes (2016). Scalability and performance analysis of EC-Earth 3.2.0 using a new metric approach (Part II) BSC-CES Technical Memorandum 2016-004, 56 pp.

2015

• Tintó Prims, O., M. Castrillo, K. Serradell , O. Mula-Valls and F.J. Doblas-Reyes (2015). Optimization of an ocean model using performance tools.BSC-CES Technical Memorandum No. 2, 16 pp.
• Basart, S., K. Serradell and J.M. Baldasano (2015). User's guide of the BSC-DREAM8b modelBSC-AC Technical Memorandum No. 1, 74 pp.

• Computational Earth Sciences generic presentation (February 2020) pptx