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.

中文翻译：

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2024 年 ESA-ECMWF 研讨会报告：用于地球系统观测和预测的机器学习的现状、进展和机遇


本报告总结了由欧洲航天局 （ESA） 和欧洲中期天气预报中心 （ECMWF） 共同举办的第 4 届地球系统观测和预测机器学习 （ML） 研讨会 （ESOP / ML4ESOP） 的主要成果。为期 4 天的研讨会于 2024 年 5 月 7 日至 10 日在欧洲航天局弗拉斯卡蒂站点以混合形式举行，并设有交互式在线组件，包括超过 46 场专家讲座，提交数量创纪录，注册人数约为 800 人。该研讨会为领先专家提供了一个平台，可以就将 ML 方法应用于 ESOP 的当前机遇、挑战和未来方向进行交流。为了组织演示和讨论，研讨会设有五个主要主题领域，涵盖关键主题和新兴趋势。每个主题领域的工作组确定了最有前途的研究方向和重要成果，并成为本文件的重点。