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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:
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:
| Student | Advisor(s) | Project | Dates |
|---|---|---|---|
| Manuel G. Marciani | Gladys Utrera, Mario C. Acosta | Enhancing Workflow Efficiency in High-Performance Computing Environments for Earth Sciences | November 2023 - November 2026 |
| Sergi Palomas | Gladys Utrera, Mario C. Acosta | Optimizing Earth science simulations: enhancing performance metrics, benchmarking, and evaluation tools for high-performance architectures. | Dec 2023 - Dec 2026 |
In this section, one can find some guidelines when starting working in CES
| Software or Projects | Brief Description | Reference or Publications | Coordinator and Contact |
|---|---|---|---|
| Autosubmit | Autosubmit is a flagship innovation open-source tool developed and led by CES that, since 2022, has consolidated its role as a production-grade workflow framework for large-scale Earth system experimentation. Crucially, Autosubmit has been adopted as the common workflow manager across models and institutions involved in the Climate DT of Destination Earth, enabling coordinated, reproducible, and fault-tolerant execution of complex simulation campaigns on EuroHPC JU systems. This adoption demonstrates CES’ leadership in delivering a shared digital backbone for a pan-European flagship initiative, transforming research software into a strategic infrastructure supporting Europe’s climate digital transformation. | D. Manubens-Gil, J. Vegas-Regidor, C. Prodhomme, O. Mula-Valls and F. J. Doblas-Reyes, “Seamless management of ensemble climate prediction experiments on HPC platforms,” 2016 International Conference on High Performance Computing & Simulation (HPCS), Innsbruck, Austria, 2016, pp. 895-900. https://doi.org/10.1109/HPCSim.2016.7568429 IEEE pdf | Coordinator: Miguel Castrillo miguel.castrillo@bsc.es Contact: Daniel Beltrán daniel.beltran@bsc.es, Miguel Castrillo miguel.castrillo@bsc.es |
| CALIOPE | CALIOPE is a long-standing innovation open-source application of CES, result of a collaboration with the Generalitat de Catalunya, that has been further consolidated since 2022. It is an operational, high-resolution air-quality modelling system providing daily forecast for next 48 hours of main air pollutants and supporting environmental assessment and public decision-making in three different spatial domains: Spain, Catalonia and Barcelona city, with the idea of extending in the near future the high-resolution urban model to other cities in Catalonia. By integrating advanced atmospheric models, data pipelines and diagnostics, CALIOPE translates state-of-the-art computational research into a policy-relevant service with direct societal impact in air quality and public health, empowering citizens, policymakers and technical users by monitoring and predicting the evolution of the main air pollutants affecting the quality of the air. This action exemplifies CES capacity to bridge scientific excellence and sustained operational deployment at territorial level. | ggg | gggg |
| ESMValTool | Righi, M., Andela, B., Eyring, V., Lauer, A., Predoi, V., Schlund, M., Vegas-Regidor, J., Bock, L., Brötz, B., de Mora, L., Diblen, F., Dreyer, L., Drost, N., Earnshaw, P., Hassler, B., Koldunov, N., Little, B., Loosveldt Tomas, S., and Zimmermann, K. (2020): Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview, Geosci. Model Dev., 13, 1179–1199, https://doi.org/10.5194/gmd-13-1179-2020. | Coordinator (Project Co-PI): Birgit Hassler Contact: Pierre Antoine Bretonniere pierre-antoine.bretonniere@bsc.es |
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| SUNSET | N. Pérez-Zanón, V. Agudetse, Ll. Palma, A. Ho, C. Delgado-Torres, N. Milders, E. Duzenli, A. Llabrés-Brustenga, B. de Paula Kinoshita, P. Bretonnière, and A. Muñoz, “SUNSET: SUbseasoNal to decadal climate forecast post-processIng and asSEssmenT suite”, EMS Annual Meeting Abstracts, Vol. 21, EMS2024-361, 2024, updated on 11 Apr 2025 https://doi.org/10.5194/ems2024-361 | Coordinator: Núria Pérez-Zanón nuria.perez@bsc.es Contact: Victòria Agudetse victoria.agudetse@bsc.es |
See peer publications here
See other publications here
See posters here
See information about the invited talks here
See the technical memoranda here
See events and visits (co-)organised by CES here
Standardized informed consent templates have been developed to be used across all projects and activities. These templates have been designed to take into account both current uses of personal data and potential future needs. Please read the guidance document explaining how to use these templates and addressing some frequently asked questions: how_to_use_the_es_consent_forms.pdf
| Template | Description | Download |
|---|---|---|
| Informed Consent Form – Earth Sciences | Main informed consent document | es_consent_form.docx |
| Informed Consent Form – Online Version | Version to be used when consent is collected through an online platform | online_consent_form.docx |
| Informed Consent – Full Information Notice | Complete information notice to be linked from the online consent form | full_information_notice.docx |
The Legal, DPO, and COMSEG teams have prepared a form that must be completed by the Principal Investigator (PI) for any new project or proposal involving personal or sensitive data. This includes anonymized, pseudonymized, or raw data that requires access or processing by BSC-CNS staff or systems. Based on the type of data your project will handle, the form will guide you on whom to contact and outline the necessary approvals to ensure compliance with data protection regulations and the required technical security measures.
The completed form must be submitted to COMSEG at comseg@bsc.es. Approval from both COMSEG and the DPO is mandatory before any project can begin. No project implementation can start without their express approval. Once the form has been approved by COMSEG and the DPO, the PI must send it to the Legal team, along with a request for the review of the corresponding legal documentation.
| Template | Description | Download |
|---|---|---|
| GDPR Form | Form that must be completed by the Principal Investigator (PI) for any new project or proposal involving personal or sensitive data. | GDPR form |