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--- working_groups:computational_earth_sciences [2026/03/05 11:21]
ysamper [Software, Projects, Collaborations and Innovation Actions]
+++ working_groups:computational_earth_sciences [2026/04/21 07:54] (current)
ysamper [Organisation and Leadership]
@@ Line 32: / Line 32: @@
 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 |}}
 ===== Teams =====
   * [[Artificial Intelligence Team (AIT)]]
@@ Line 43: / Line 40: @@
 ===== 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#emissions_unit|Emissions]]
   * [[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]]
@@ Line 51: / Line 49: @@
   * [[climate_model_development_and_hpc_adaptation#r_tools_unit|R Tools]]
   * [[climate_model_development_and_hpc_adaptation#web_development_unit|Web Development]]
 ===== Group Members =====
@@ Line 60: / Line 59: @@
 | [[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#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            |
@@ Line 77: / Line 77: @@
 ===== Research Outputs, Dissemination and Engagement =====
 In this section, one can find [[:working_groups:starting_at_ces|some guidelines when starting working in CES]]\\
-==== Software, Projects, Collaborations and Innovation Actions =====
+==== Software and Projects =====
 ^ Software or Projects  ^ Brief Description                                              ^ Reference or Publications                                                                                                                                                                                                                                                                                                                                                                                                                      ^ Coordinator and Contact                                                                                                                                  ^
 | [[https://earth.bsc.es/wiki/doku.php?id=tools:autosubmit|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 [[http://ieeexplore.ieee.org/document/7568429/|IEEE]] {{:publications:dmanubens_hpcs_2016.pdf|pdf}}  | Coordinator:\\ Miguel Castrillo <miguel.castrillo@bsc.es>\\ Contact:\\ Daniel Beltrán <daniel.beltran@bsc.es>, Miguel Castrillo <miguel.castrillo@bsc.es>  |
-|[[https://caliope.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.  |TBC|TBC|
+|[[https://caliope.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.  |Baldasano, J. M., Pay, M. T., Jorba, O., Gassó, S., & Jiménez-Guerrero, P. (2011). An annual assessment of air quality with the CALIOPE modeling system over Spain. Science of the Total Environment, 409(11), 2163-2178 https://doi.org/10.1016/j.scitotenv.2011.01.041 \\ Benavides, J., Snyder, M., Guevara, M., Soret, A., Pérez García-Pando, C., Amato, F., Querol, X., & Jorba, O. (2019). CALIOPE-Urban v1. 0: coupling R-LINE with a mesoscale air quality modelling system for urban air quality forecasts over Barcelona city (Spain). Geoscientific Model Development, 12(7), 2811-2835 https://doi.org/10.5194/gmd-12-2811-2019|Coordinator and Contact: Francesco Benincasa <francesco.benincasa@bsc.es>|
 | [[https://esmvaltool.readthedocs.io/en/latest/|ESMValTool]]    |ESMValTool is a community diagnostics and performance metrics tool for the evaluation of Earth System Models (ESMs) that allows for routine comparison of models and observations. It includes a large collection of community recipes and observation data formatters to CMOR standards. ESMValCore is a software package which provides the core functionality for ESMValTool. It is a workflow to find CMIP data, and apply commonly used pre-processing functions.\\ To get a first impression of what ESMValTool and ESMValCore can do for you, have a look at our blog posts [[https://blog.esciencecenter.nl/easy-ipcc-powered-by-esmvalcore-19a0b6366ea7|Analysis-ready climate data with ESMValCore]] and [[https://blog.esciencecenter.nl/esmvaltool-recipes-for-solid-climate-science-da5b33814f69|ESMValTool: Recipes for solid climate science]].    | 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>                                                                                                            |
-| [[https://earth.bsc.es/wiki/doku.php?id=tools:SUNSET[]=SUNSET|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>                                                |
+| [[https://earth.bsc.es/wiki/doku.php?id=tools:SUNSET[]=SUNSET|SUNSET]] |SUNSET is an R-based tool that provides climate services for sub-seasonal, seasonal and decadal climate forecast horizons. The tool post-processes climate forecast outputs by applying state-of-the-art methodologies to tailor climate products for each application and sector (e.g.: agriculture, energy, water management, or health). Its modular design allows the technicians and researchers to decide on the post-processing required steps, such as regridding, anomalies, downscaling, bias-adjustment methods, as well as the products definition by deciding on the forecast system and reference datasets, variables, and forecast horizon among others.\\ The tool also allows the creation and visualization of climate forecast products, such as maps for the most likely terciles, and performs the verification of the products using user-defined metrics, which can be visualized on maps and scorecards.\\ The integration of Autosubmit in the tool allows users to easily parallelize the computation in HPC machines. | 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>                                                |
 [[https://earth.bsc.es/wiki/doku.php?id=library:git|Department Git projects]]
+==== Innovation Actions and Collaborations =====
+^ Type  ^ Role of CES                                                                                                                                                                                                                                                                                                                                                                                                                       ^ Coordinator and Contact                                                                                                                                  ^
+|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|
+| 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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