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2024 ESA-ECMWF workshop report: current status, progress and opportunities in machine learning for Earth system observation and prediction.

Authors :
Ebel, Patrick
Schneider, Rochelle
Bonavita, Massimo
Clare, Mariana
Jungbluth, Anna
Pourshamsi, Maryam
Chantry, Matthew
Alexe, Mihai
Sebastianelli, Alessandro
Chrust, Marcin
Source :
NPJ Climate & Atmospheric Science; 10/9/2024, Vol. 7 Issue 1, p1-5, 5p
Publication Year :
2024

Abstract

This report summarises the main outcomes of the 4th edition of the workshop on Machine Learning (ML) for Earth System Observation and Prediction (ESOP / ML4ESOP) co-organised by the European Space Agency (ESA) and the European Centre for Medium-Range Weather Forecasts (ECMWF). The 4-day workshop was held on 7-10 May 2024 in a hybrid format at the ESA Frascati site with an interactive online component, featuring over 46 expert talks with a record number of submissions and about 800 registrations. The workshop offered leading experts a platform to exchange on the current opportunities, challenges and future directions for applying ML methodology to ESOP. To structure the presentations and discussions, the workshop featured five main thematic areas covering key topics and emerging trends. The most promising research directions and significant outcomes were identified by each thematic area's Working Group and are the focus of this document. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23973722
Volume :
7
Issue :
1
Database :
Complementary Index
Journal :
NPJ Climate & Atmospheric Science
Publication Type :
Academic Journal
Accession number :
180167983
Full Text :
https://doi.org/10.1038/s41612-024-00757-4