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working_groups:computational_earth_sciences [2026/03/05 11:46]
ysamper [Innovation Actions and Collaborations] 		working_groups:computational_earth_sciences [2026/04/21 07:54] (current)
ysamper [Organisation and Leadership]
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 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: 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:
- +{{ :working_groups:ces_team_units2026.png |}}
-{{ :working_groups:ces-organigrama_2025.png |}} +
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 ===== Teams ===== ===== Teams =====
   * [[Artificial Intelligence Team (AIT)]]   * [[Artificial Intelligence Team (AIT)]]
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 ===== Units ===== ===== Units =====
-  * ____[[Climate Model Development and HPC Adaptation]]____+  * [[Climate Model Development and HPC Adaptation]] 
 +  * [[working_groups:climate_model_development_and_hpc_adaptation#co-design_for_high-performance_and_integrated_processors_chip|Co-design for High-Performance and Integrated Processors (CHIP)]] 
 +  * [[working_groups:climate_model_development_and_hpc_adaptation#cpu_profiling_optimization|CPU Profiling & Optimization]]
   * [[working_groups:climate_model_development_and_hpc_adaptation#ec-earth_unit|EC-Earth]]   * [[working_groups:climate_model_development_and_hpc_adaptation#ec-earth_unit|EC-Earth]]
-  * [[working_groups:climate_model_development_and_hpc_adaptation#emissions_unit|Emissions]] 
   * [[climate_model_development_and_hpc_adaptation#gpu_computing_unit|GPU Computing]]   * [[climate_model_development_and_hpc_adaptation#gpu_computing_unit|GPU Computing]]
   * [[working_groups:climate_model_development_and_hpc_adaptation#monarch_development_and_hpc_adaptation_unit|MONARCH Development and HPC Adaptation]]   * [[working_groups:climate_model_development_and_hpc_adaptation#monarch_development_and_hpc_adaptation_unit|MONARCH Development and HPC Adaptation]]
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   * [[climate_model_development_and_hpc_adaptation#r_tools_unit|R Tools]]   * [[climate_model_development_and_hpc_adaptation#r_tools_unit|R Tools]]
   * [[climate_model_development_and_hpc_adaptation#web_development_unit|Web Development]]   * [[climate_model_development_and_hpc_adaptation#web_development_unit|Web Development]]
 +
  
 ===== Group Members ===== ===== Group Members =====
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 | [[working_groups:mwt-member_s_short_bio#manuel_gimenez|Manuel G. Marciani ]]  | Gladys Utrera, Mario C. Acosta  | {{ :phd_students:plantilla_programa_formacion_predoc_2022.pdf | Enhancing Workflow Efficiency in High-Performance Computing Environments for Earth Sciences}}  | November 2023 - November 2026  | | [[working_groups:mwt-member_s_short_bio#manuel_gimenez|Manuel G. Marciani ]]  | Gladys Utrera, Mario C. Acosta  | {{ :phd_students:plantilla_programa_formacion_predoc_2022.pdf | Enhancing Workflow Efficiency in High-Performance Computing Environments for Earth Sciences}}  | November 2023 - November 2026  |
 | [[working_groups:hpc4est-member_s_short_bio#sergi_palomas|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            | | [[working_groups:hpc4est-member_s_short_bio#sergi_palomas|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            |
 +| [[working_groups:hpc4est-member_s_short_bio#okke_van_ecks|Okke van Eck]]     | K. Anton Feenstra, Daan van den Berg, Mario C. Acosta  | Investigating the Instance Hardness for HP-Model Protein Folding Problem Instances                   | June 2026            |
  
  
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 |Contract with public administration AEMET-[[https://www.aemet.es/en/idi/SDS-WAS|SDS-WAS]] Sand and Dust Storms Warning Advisory and Assessment System operational services |CES is in charge of leading the developments and operational services of the Barcelona Dust Regional Center, which includes the daily run of the in-house numerical model MONARCH and the collection of 14 more models’ outputs from external partners. This is done through official contracts in collaboration with AEMET. It’s the first dust center officially recognized by the  [[https://wmo.int/| WMO]], delivering daily operational dust forecasts, multi-model products and evaluation plots and statistics against Earth Observations. All mentioned products are generated in a High Availability configuration infrastructure, consisting in the same setup replicated in AEMET and BSC facilities: a Virtual Machine exposing a web portal, an interactive dashboard displaying maps and plots, and a data server providing binary data, everything connected to an HPC cluster. The current contract started in 2022 (€1.175.000 funded) but this is a collaboration of more than one decade between CES, AEMET and the WMO, becoming a reference for academy, research institutes, national meteorological agencies and policy makers. | TBC| |Contract with public administration AEMET-[[https://www.aemet.es/en/idi/SDS-WAS|SDS-WAS]] Sand and Dust Storms Warning Advisory and Assessment System operational services |CES is in charge of leading the developments and operational services of the Barcelona Dust Regional Center, which includes the daily run of the in-house numerical model MONARCH and the collection of 14 more models’ outputs from external partners. This is done through official contracts in collaboration with AEMET. It’s the first dust center officially recognized by the  [[https://wmo.int/| WMO]], delivering daily operational dust forecasts, multi-model products and evaluation plots and statistics against Earth Observations. All mentioned products are generated in a High Availability configuration infrastructure, consisting in the same setup replicated in AEMET and BSC facilities: a Virtual Machine exposing a web portal, an interactive dashboard displaying maps and plots, and a data server providing binary data, everything connected to an HPC cluster. The current contract started in 2022 (€1.175.000 funded) but this is a collaboration of more than one decade between CES, AEMET and the WMO, becoming a reference for academy, research institutes, national meteorological agencies and policy makers. | TBC|
 |[[https://www.bsc.es/ai-factory|BSC AI Factory]]|CES has a critical role in the BSC AI Factory , in which it contributes software, data, and AI expert services, while leading the Software Services work package. The BSC AI Factory (€42,000,000 funded, 2025–2027) is a strategic pillar of Europe’s emerging AI innovation ecosystem. The initiative delivers a comprehensive portfolio of AI-oriented services, advanced training, and networking infrastructures tailored to accelerate AI adoption across industry, particularly among SMEs and start-ups. This role positions CES at the forefront of integrating artificial intelligence with scientific computing infrastructures, strengthening its capacity to translate AI innovation into Earth system applications and reinforcing the strategic alignment between digital transformation, environmental sciences, and sustainable supercomputing. | TBC|  |[[https://www.bsc.es/ai-factory|BSC AI Factory]]|CES has a critical role in the BSC AI Factory , in which it contributes software, data, and AI expert services, while leading the Software Services work package. The BSC AI Factory (€42,000,000 funded, 2025–2027) is a strategic pillar of Europe’s emerging AI innovation ecosystem. The initiative delivers a comprehensive portfolio of AI-oriented services, advanced training, and networking infrastructures tailored to accelerate AI adoption across industry, particularly among SMEs and start-ups. This role positions CES at the forefront of integrating artificial intelligence with scientific computing infrastructures, strengthening its capacity to translate AI innovation into Earth system applications and reinforcing the strategic alignment between digital transformation, environmental sciences, and sustainable supercomputing. | TBC| 
 +| Industrial collaboration with [[https://www.nvidia.com/en-us/|NVIDIA]] and [[https://www.huawei.com/es/|HUAWEI]] on GPU porting and optimisation of the [[https://www.nemo-ocean.eu/|NEMO ocean model]]  | In recent years, CES has led a strategic industrial collaboration through two contracts with NVIDIA (PI: Francisco Doblas-Reyes, one year, €350,000 funded, 2025) and HUAWEI (PI: Mario Acosta, two years, €400,000 funded, 2022 and 2023) focused on the GPU porting and optimisation of the NEMO ocean model, a cornerstone of European ocean and Earth system modelling. NEMO is used by major European institutions and infrastructures and underpins key initiatives such as Destination Earth and EuroHPC JU-funded climate projects. This collaboration positions CES as a trusted partner for industrial co-design, strengthening European readiness for heterogeneous supercomputing systems and ensuring the long-term sustainability and performance of a critical scientific asset.|TBC| 
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working_groups/computational_earth_sciences.1772711214.txt.gz · Last modified: 2026/03/05 11:46 by ysamper

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