Mediterranean Digital Twin Network for Understanding Climate Extremes

Informazioni relative al progetto

MeDiTwin

ID dell’accordo di sovvenzione: 101159723

DOI

10.3030/101159723

Data della firma CE 16 Maggio 2024

Data di avvio 1 Settembre 2024

Data di completamento 28 Febbraio 2027

Finanziato da

• Widening participation and spreading excellence

Costo totale

Nessun dato

Contributo UE

€ 1 493 687,50

Coordinato da

ETHNICON METSOVION POLYTECHNION
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (8)

Communication & Dissemination plan v1, and material, project website

Report on plan for dissemination and exploitation including communication activities, detailing target audiences, key messages, channels, tools, and metrics. Provide website and supporting outreach materials (brochures, leaflets, video, etc.)

Progress report

This deliverable will be basis for the interim review meeting.

Project management & quality assurance plan

Guidelines to ensure high-quality research, development and reporting, streamlining partners' gender equality plans and a project time plan.

Report on understanding climate extremes in the Mediterranean

Research activities and results of T4.1 & T4.2, including datasets and trained models.

Report on capacity building activities and training material v1

Summary of activities for Cycle I, KPIs, training material, lessons learnt and update on the curriculum and implementation plan for next Cycle. Technical specifications and the architectural design of the MDT.1st prototype of the MDT, evaluation and update of requirements and specifications for Cycle II.

Ethics & GDPR

Report project’s compliance to ethics and GDPR requirements

Knowledge transfer plan

Design, implementation plan and definition of KPIs for the training curriculum and learning outcomes, and the mobility scheme.

Report on MeDiTwin profile raising networking activities v1

Outline joint publication targets (subjects, journals, timeline) and criteria for joining AI4EO networks. Develop a curriculum and implementation plan for the summer school.Summarize Cycle I networking, covering the summer school, AI4EO network status, and outline plans for Cycle II.

Data Management Plan (2)

DMP v1

1st version of the DMP formulation, contributing in making data FAIR.

DMP V2

2nd version of the DMP formulation, contributing in making data FAIR.

Pubblicazioni

Peer reviewed articles (3)

SeasFire cube - a multivariate dataset for global wildfire modeling

Autori: Ilektra Karasante, Lazaro Alonso, Ioannis Prapas, Akanksha Ahuja, Nuno Carvalhais, Ioannis Papoutsis
Pubblicato in: Scientific Data, Numero 12, 2025, ISSN 2052-4463
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41597-025-04546-3

Probabilistic machine learning for noisy labels in Earth observation

Autori: Spyros Kondylatos, Nikolaos Ioannis Bountos, Ioannis Prapas, Angelos Zavras, Gustau Camps-Valls, Ioannis Papoutsis
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-19781-2

Artificial intelligence for modeling and understanding extreme weather and climate events

Autori: Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams
Pubblicato in: Nature Communications, Numero 16, 2025, ISSN 2041-1723
Editore: Springer Science and Business Media LLC
DOI: 10.1038/S41467-025-56573-8

Conference proceedings (2)

Kuro Siwo: 33 billion m2 under the water A global multi-temporal satellite dataset for rapid flood mapping

Autori: Nikolaos Ioannis Bountos, Maria Sdraka, Angelos Zavras, Ilektra Karasante, Andreas Karavias, Themistocles Herekakis, Angeliki Thanasou, Dimitrios Michail, Ioannis Papoutsis
Pubblicato in: NIPS '24: Proceedings of the 38th International Conference on Neural Information Processing Systems, 2025
Editore: Curran Associates Inc.
DOI: 10.5555/3737916.3739120

On the Generalization of Representation Uncertainty in Earth Observation

Autori: Spyros Kondylatos, Nikolaos Ioannis Bountos, Dimitrios Michail, Xiao Xiang Zhu, Gustau Camps-Valls, Ioannis Papoutsis
Pubblicato in: International Conference on Computer Vision, ICCV 2025, 2025
DOI: 10.48550/ARXIV.2503.07082