大気水圏科学(A) | |||
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セッション小記号 | 大気科学・気象学・大気環境(AS) | ||
セッションID | A-AS14 | ||
タイトル | 和文 | Extreme Events: Observations and Modeling | |
英文 | Extreme Events: Observations and Modeling | ||
タイトル短縮名 | 和文 | Extreme Events | |
英文 | Extreme Events | ||
代表コンビーナ | 氏名 | 和文 | Sridhara Nayak |
英文 | Sridhara Nayak | ||
所属 | 和文 | Disaster Prevention Research Institute, Kyoto University | |
英文 | Disaster Prevention Research Institute, Kyoto University | ||
共同コンビーナ 1 | 氏名 | 和文 | JAGABANDHU PANDA |
英文 | JAGABANDHU PANDA | ||
所属 | 和文 | National Institute of Technology Rourkela | |
英文 | National Institute of Technology Rourkela | ||
発表言語 | E | ||
スコープ | 和文 | The frequencies and intensities of extreme events such as heavy rainfall, flash floods, droughts, heat waves, tropical cyclones etc. have increased in many regions across the globe and are of serious concern due to their socio-economic and climate change connections. Thus, understanding of the patterns of such events and particularly their characteristics have been the focus of many recent studies. This session invites abstracts on observational and numerical modeling studies to enhance the understanding of the spatial and temporal characteristics and predictability of the extreme events. In particular, abstracts are encouraged on regional analysis of the extreme events in past years and in near or far future (30-100 years), which would assist the policy makers to build potentially more resilient societies to face the extreme event related disasters. This session also welcomes the submissions on model simulations and evaluations to advance the understanding of the physics and dynamics associated with the extreme events. | |
英文 | The frequencies and intensities of extreme events such as heavy rainfall, flash floods, droughts, heat waves, tropical cyclones etc. have increased in many regions across the globe and are of serious concern due to their socio-economic and climate change connections. Thus, understanding of the patterns of such events and particularly their characteristics have been the focus of many recent studies. This session invites abstracts on observational and numerical modeling studies to enhance the understanding of the spatial and temporal characteristics and predictability of the extreme events. In particular, abstracts are encouraged on regional analysis of the extreme events in past years and in near or far future (30-100 years), which would assist the policy makers to build potentially more resilient societies to face the extreme event related disasters. This session also welcomes the submissions on model simulations and evaluations to advance the understanding of the physics and dynamics associated with the extreme events. | ||
発表方法 | 口頭および(または)ポスターセッション |