Sidebar
This is an old revision of the document!
Table of Contents
Computational Earth Sciences
Description of the group
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.
Main Objectives
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.
Organisation and Leadership
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:
Teams
Units
Group Members
PhD Students
| 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 |
Research Outputs, Dissemination and Engagement
In this section, one can find some guidelines when starting working in CES
Software, Projects, Collaborations and Innovation Actions
| 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 |
| 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 |
|
| 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 |
Publications
See peer publications here
Other Publications
See other publications here
Posters
See posters here
Invited Talks
See information about the invited talks here
Technical Memoranda
See the technical memoranda here
Events and Visits
See events and visits (co-)organised by CES here
Templates and Resources
Presentations
Oboarding Guide
PDPs
Consent forms
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 |
GDPR compliance check list
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 |
CES Meetings
