Earth System Data Cubes: Avenues for advancing Earth system research
David Montero, Guido Kraemer, Anca Anghelea, C\'esar Aybar, Gunnar, Brandt, Gustau Camps-Valls, Felix Cremer, Ida Flik, Fabian Gans, Sarah, Habershon, Chaonan Ji, Teja Kattenborn, Laura Mart\'inez-Ferrer, Francesco, Martinuzzi, Martin Reinhardt, Maximilian S\"ochting

TL;DR
Earth System Data Cubes (ESDCs) organize multivariate Earth system data into analysis-ready, spatio-temporal grids, enabling advanced research despite technical and domain-specific challenges, especially with cloud technologies and AI integration.
Contribution
This paper discusses the development and challenges of Earth System Data Cubes, highlighting their potential to transform Earth system research through improved data organization and accessibility.
Findings
ESDCs facilitate analysis of multivariate Earth data.
Technical and domain-specific challenges hinder ESDC completion.
Overcoming these challenges can significantly advance Earth system research.
Abstract
Recent advancements in Earth system science have been marked by the exponential increase in the availability of diverse, multivariate datasets characterised by moderate to high spatio-temporal resolutions. Earth System Data Cubes (ESDCs) have emerged as one suitable solution for transforming this flood of data into a simple yet robust data structure. ESDCs achieve this by organising data into an analysis-ready format aligned with a spatio-temporal grid, facilitating user-friendly analysis and diminishing the need for extensive technical data processing knowledge. Despite these significant benefits, the completion of the entire ESDC life cycle remains a challenging task. Obstacles are not only of a technical nature but also relate to domain-specific problems in Earth system research. There exist barriers to realising the full potential of data collections in light of novel cloud-based…
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Taxonomy
TopicsDistributed and Parallel Computing Systems
