2021年6月4日(金) 17:15 〜 18:30 Ch.07

コンビーナ:Jayanthi Venkata Ratnam(Application Laboratory, JAMSTEC)、Rajib Maity(Indian Institute of Technology Kharagpur)、Behera Swadhin(Climate Variation Predictability and Applicability Research Group, Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001)、土井 威志(JAMSTEC)

The machine learning techniques have found a wide range of applications in weather, climate, Hydrology and Disease predictions. In the recent times, these techniques are being widely used to forecast extreme events such as malaria outbreaks, heat waves, cold waves, flooding and droughts. The techniques are helping the researchers improve the parameterization schemes in the numerical models. The techniques are also being used to improve the numerical model predications by providing methods to reduce the biases and also to improve the horizontal resolution of the forecasts. The aim of the session is to bring together the researchers working on various techniques of machine learning to enhance the understanding and predictions of weather, climate, Hydrology and Disease predictions for the benefit of the society.