The Earth System Grid Federation (ESGF) Virtual Aggregation (CMIP6 v20240125)

Abstract. The Earth System Grid Federation (ESGF) holds several petabytes of climate data distributed across millions of files held in data centres worldwide. The processes of obtaining and manipulating the scientific information (climate variables) held in these files are non-trivial. The ESGF Virtual Aggregation is one of several solutions to provide an out-of-the-box aggregated and analysis-ready view of those variables. Here, we discuss the ESGF Virtual Aggregation in the context of the existing infrastructure and some of those other solutions providing analysis-ready data. We describe how it is constructed, how it can be used, and its benefits for model evaluation data analysis tasks, and we provide some performance evaluation. It will be seen that the ESGF Virtual Aggregation provides a sustainable solution to some of the problems encountered in producing analysis-ready data without the cost of data replication to different formats, albeit at the cost of more data movement within the analysis compared to some alternatives. If heavily used, it may also require more ESGF data servers than are currently deployed in data node deployments. The need for such data servers should be a component of ongoing discussions about the future of the ESGF and its constituent core services.

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Publication Details

Journal
Geoscientific model development
Published
2025-04-30
DOI
https://doi.org/10.5194/gmd-18-2461-2025
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11

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article

The Earth System Grid Federation (ESGF) Virtual Aggregation (CMIP6 v20240125)

Ezequiel Cimadevilla, Bryan Lawrence, Antonio S. Cofiño
1 citations
Geoscientific model development
Climate variability and models
1.11
article

The Earth System Grid Federation (ESGF) Virtual Aggregation (CMIP6 v20240125)

Ezequiel Cimadevilla, Bryan Lawrence, Antonio S. Cofiño
article en
1 citations

Abstract

Abstract. The Earth System Grid Federation (ESGF) holds several petabytes of climate data distributed across millions of files held in data centres worldwide. The processes of obtaining and manipulating the scientific information (climate variables) held in these files are non-trivial. The ESGF Virtual Aggregation is one of several solutions to provide an out-of-the-box aggregated and analysis-ready view of those variables. Here, we discuss the ESGF Virtual Aggregation in the context of the existing infrastructure and some of those other solutions providing analysis-ready data. We describe how it is constructed, how it can be used, and its benefits for model evaluation data analysis tasks, and we provide some performance evaluation. It will be seen that the ESGF Virtual Aggregation provides a sustainable solution to some of the problems encountered in producing analysis-ready data without the cost of data replication to different formats, albeit at the cost of more data movement within the analysis compared to some alternatives. If heavily used, it may also require more ESGF data servers than are currently deployed in data node deployments. The need for such data servers should be a component of ongoing discussions about the future of the ESGF and its constituent core services.

Geoscientific model developmentVol. 18(8)
Universidad de Cantabria (ES), National Centre for Atmospheric Science (GB), Instituto de Física de Cantabria (ES), University of Reading (GB)
European Commission, Ministerio de Ciencia e Innovación, Ministerio para la Transición Ecológica y el Reto Demográfico, HORIZON EUROPE Framework Programme, Agencia Estatal de Investigación, European Social Fund
Openalex Percentile: Top 25%
Climate variability and models
1.11
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