We would like to invite you to submit
contributions to the session on “AS43-Application of data-driven and machine learning approaches in
disaster risk reduction and mitigation” at AOGS 20th Annual Meeting, which will take
place in Singapore, between July 30 and Aug 4, 2023.
AS43- Application of data-driven and
machine learning approaches in disaster risk reduction and mitigation
Convener: Dr Kelvin Ng; Co-conveners: Prof.
Zhan Tian, Prof. Gregor C. Leckebusch
Reducing the impact of extreme meteorological
and hydrological events, such as tropical cyclone and extreme Mei-yu
precipitation, has been an active research area for the recent years. However,
it remains challenging due to the complexity of the physical processing which
would result in extreme events. In recent years, data-driven and machine
learning approaches have been widely applied to study extreme events as well as
improvement in forecasting these extreme events. This in turn improve the
societal capacity in mitigating the impact of extreme events. This session
focuses on advances in applied data-driven and machine learning approaches in
meteorological and hydrological extremes in the context of disaster risk
reduction and mitigation. This session also welcomes contributions, which employed
hybrid (i.e., machine learning and process-based model) approaches, in the
context of disaster risk reduction and mitigation.