日本地球惑星科学連合2023年大会

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[E] オンラインポスター発表

セッション記号 A (大気水圏科学) » A-TT 計測技術・研究手法

[A-TT29] Machine Learning Techniques in Weather, Climate, Ocean, Hydrology and Disease Predictions

2023年5月23日(火) 10:45 〜 12:15 オンラインポスターZoom会場 (7) (オンラインポスター)

コンビーナ:Jayanthi Venkata Ratnam(Application Laboratory, JAMSTEC)、Patrick Martineau(Japan Agency for Marine-Earth Science and Technology)、土井 威志(JAMSTEC)、Behera Swadhin(Climate Variation Predictability and Applicability Research Group, Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001)

現地ポスター発表開催日時 (2023/5/22 17:15-18:45)

Machine learning techniques have found a wide range of applications in weather, climate, ocean, hydrology, and disease predictions. In recent times, these techniques are being increasingly used to predict extreme events such as malaria outbreaks, heat waves, cold spells, flooding, droughts, tropical cyclones, typhoons, El Nino/Indian Ocean Dipole events among many others. In addition, machine-learning techniques are helping researchers to improve parameterization schemes in numerical prediction models. Machine-learning is also being used to improve numerical model predictions by providing methods to reduce biases and improve the horizontal resolution of the predictions. The aim of this session is to bring together researchers working on various techniques of machine learning to enhance the understanding and skill of weather, climate, ocean, hydrology and disease predictions for the benefit of the society.

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