JpGU Meeting 2021

Session Outline

Atmospheric and Hydrospheric Sciences (A)
Session Sub-category		Atmospheric Sciences, Meteorology & Atmospheric Environment (AS)
Session ID		A-AS04
Title		Machine Learning Techniques in Weather, Climate, Hydrology and Disease Predictions
Short Title		Machine learning
Date & Time	Oral session	JUNE 4 (FRI) PM1, PM2	Channel	10
	Poster session	JUNE 4 (FRI) PM3
Main Convener	Name	Venkata Ratnam Jayanthi
	Affiliation	Application Laboratory, JAMSTEC
Co-Convener 1	Name	Rajib Maity
	Affiliation	Indian Institute of Technology Kharagpur
Co-Convener 2	Name	Swadhin Behera
	Affiliation	Climate Variation Predictability and Applicability Research Group, Application Laboratory, JAMSTEC, 3173-25 Showa-machi, Yokohama 236-0001
Co-Convener 3	Name	Takeshi Doi
	Affiliation	JAMSTEC
Session Language		E
Scope		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.
Presentation Format		Oral and Poster presentation
Collaboration	Joint with	-
	Co-sponsored with	-