CES Teams and Units

See full list here

See full list here

Provision of data services

• Develop, manage and maintain a common data service framework.
  • Develop, manage and maintain a common data service framework to collect, standardize and distribute climate and atmospheric data to both internal departmental and external users of the research and services community. Setting up an ESGF Data-Node is a priority of the team to give international visibility to the centre.
  • Implement locally and contribute to the development of international standards for data storage and exchange, with special interest in data in NetCDF and GRIB formats.
  • Contribute to external data quality checking projects (eg Copernicus C3S_512)

• Deploy an infrastructure ready to overcome the Big Data challenge in Earth sciences.
  • Improve the capability for processing Big Data volumes for the analysis of Earth system simulation using the latest technologies both at hardware and software levels.
  • Improve the outcome to society of user-friendly data visualization products.
  • Study new approaches to address the I/O challenges of the new generation of high-resolution, highly parallelized Earth system models.
  • In this page, you can find the current material related to Big Data in Earth Sciences.

• Artificial Intelligence for Earth Sciences.
  • New developments on Machine Learning and Artificial Intelligence have great potential for the exploitation and modelling of the ever-increasing stream of geospatial data. Therefore, a new research line has been started within CES to develop new Machine Learning models (specially based on Deep Neural Networks) for Earth Sciences. All the information can be found here (AI4ES).

• C3PO
• Earth Diagnostics
• ece2cmor
• R2D2
• SDS-WAS/BDFC Map Viewer and Other customizations
• MapGenerator
• ESGF Node: info and esgf-ceda portal
• THREDDS info and THREDDS direct link
• s2dverification
• C3S_512

See full list here

Efficient use of the computational resources by the research groups

• Provide HPC Services such as performance analysis to identify bottlenecks and apply optimizations
  • Collaborate with other BSC departments, especially Computer Sciences, to use state-of-the-art programming models and profiling tools to prepare Earth sciences models to run on next generation exascale HPC system. Also improve the efficiency of existing models and postprocessing tools interacting with developers and users during all stages of software development lifecycle.

• Research on new computational methods to apply on Earth Sciences models
  • Collaborate with external Earth system modelling teams to implement and test new computational methods that allow the use of new platforms such as heterogeneous architectures.

• ELPin
• Lucia-lite

See full list here

Development of HPC user-friendly software framework for Earth system modeling and the management of operational systems

• Support the development of atmospheric research software and contribute to its maintenance.
  • Interact with model developers and HPC support teams to develop and deploy a software stack to run generic Earth system models on a wide range of HPC facilities.

• Maintain and improve operational systems.
  • Collaborate with the other three groups to satisfy their needs for the development and efficient running, including the design of appropriate workflows, of the BSC-ES operational air quality, weather and climate forecast systems.

• Iria Ayan (Unit Leader)
• Alejandro García
• Eric Ferrer
• Marcel Cases
• Roc S. Andreazini
• Sergi Palomas
• Simone Vacondio

Purpose
Tasks
Projects and Softwares Developed
Outcomes

• Gilbert Montané (Unit Leader)
• Alejandro García
• Breixo Soliño Fernandez
• Eric Ferrer Escuin
• Matias F. Rebolledo
• Supriyo Ghosh

Purpose
Tasks
Projects and Softwares Developed
Outcomes

• Carles Tena (Unit Leader)
• Artur Viñas Ferran
• Carmen Piñero Megías
• Johanna Gehlen
• Luca Rizza

Create and improve emission models and post-processing tools.

See more information here.

• Develop new emission models, maintain current ones and explore HPC optimizations. Take care of post-processing tools for AC models.
  

• HERMES_GR
• HERMES_BU
• HERMES_Delta
• PHENOMENA
• IEZMVM
• NES
• SNES
• Output_Checker

Open source emission models. Papers as co-autors. (Working on first-autor technical papers).

• Alexey Medvedev (Unit Leader)
• Aitor Sanchez
• Andrew Forembski
• Christian Guzman
• Okke L. Van Eck
• Rommel A. Quintanilla

Purpose
Tasks
Projects and Softwares Developed
Outcomes

• Hannah Ross (Unit Leader)
• Alba Martínez
• Alejandro García
• Andrew Forembski
• Christian Guzman
• Joan Bernat

Purpose
Tasks
Projects and Softwares Developed
Outcomes

• Kai Keller (Unit Leader)
• Carlos Romero
• Marta Alerany
• Nicholas T. Abel

Purpose
Tasks
Projects and Softwares Developed
Outcomes

• Victoria Agudetse (Unit Leader)
• Ariadna Batalla
• Raul Capellan
• Theertha Kariyathan

Develop R packages and software tools for the analysis and visualization of climate data.

See more information here.

• Maintain current in-house R packages.
• Coordinate with other groups to integrate and organize common R code according to research and project needs.
• Contribute to the operationalization of climate services for department projects.
• Provide user support to researchers working with the R Tools.
  

• RstartR
• multiApply
• easyNCDF
• s2dv
• ClimProjDiags
• CSTools
• CSIndicators
• esviz
• SUNSET

• startR, multiApply, easyNCDF, s2dv, ClimProjDiags, CStools and CSIndicators are published on the Comprehensive R Archive Network (CRAN).
• SUNSET poster presented at conferences (CERISE General Assembly, EMS2024, XIII Asociación Española de Climatología)
• Technical papers published for some of the R Packages (CSTools, CSIndicators)
• Co-authorship in papers by other groups

• Elliott Rose (Unit Leader)
• Alba Vilanova
• Luiggi G. Tenorio
• Rebeca Nunes
• Santiago Ramirez

Purpose
Tasks
Projects and Softwares Developed
Outcomes