AD4GD D5.2 Artificial intelligence resources for Earth system modelling

This deliverable builds upon D5.1 and outlines progress in applying Artificial Intelligence and High-Performance Computing within the AD4GD project. It details the use of AI models in pilot studies, such as water level prediction in Berlin lakes and connectivity mapping in Catalonia, highlighting the AI models ability to process complex environmental data efficiently. The document also presents the development of user-friendly interfaces that make these advanced tools accessible to non-expert stakeholders, promoting informed decision-making. Additionally, it reports on the integration of HPC resources to support AI model training and execution, enhancing performance and scalability. The deliverable concludes with reflections on the benefits, limitations, and future directions of these technologies in AD4GD pilots.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-25
DOI
https://doi.org/10.5281/zenodo.17201460
Primary Topic
Education, Psychology, and Social Research
Type
article
Field-Weighted Citation Impact
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article

AD4GD D5.2 Artificial intelligence resources for Earth system modelling

Zenodo (CERN European Organization for Nuclear Research)
Education, Psychology, and Social Research
article

AD4GD D5.2 Artificial intelligence resources for Earth system modelling

article en

Abstract

This deliverable builds upon D5.1 and outlines progress in applying Artificial Intelligence and High-Performance Computing within the AD4GD project. It details the use of AI models in pilot studies, such as water level prediction in Berlin lakes and connectivity mapping in Catalonia, highlighting the AI models ability to process complex environmental data efficiently. The document also presents the development of user-friendly interfaces that make these advanced tools accessible to non-expert stakeholders, promoting informed decision-making. Additionally, it reports on the integration of HPC resources to support AI model training and execution, enhancing performance and scalability. The deliverable concludes with reflections on the benefits, limitations, and future directions of these technologies in AD4GD pilots.

Zenodo (CERN European Organization for Nuclear Research)
Aston University (GB), Atos (France) (FR), Welding Technology Institute of Australia (AU), Fraunhofer Institute for Applied Information Technology (DE), Centre for Research on Ecology and Forestry Applications (ES), Berlin Centre of Competence for Water (DE), Electric Vehicle Challenge (US)
Openalex Percentile: Top 36%
Education, Psychology, and Social Research
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