JpGU-AGU Joint Meeting 2017

講演情報

[EE] 口頭発表

セッション記号 M (領域外・複数領域) » M-IS ジョイント

[M-IS05] [EE] Thunderstorms and lightning as natural hazards in a changing climate

2017年5月22日(月) 13:45 〜 15:15 304 (国際会議場 3F)

コンビーナ:佐藤 光輝(北海道大学 大学院理学研究院)、Yoav Yair(Interdisciplinary Center Herzliya)、座長:佐藤 光輝(北海道大学 大学院理学研究院)、座長:Yair Yoav(Interdisciplinary Center Herzliya)

14:15 〜 14:30

[MIS05-09] Changes in extreme rainfall in the Philippines for the 100-year period (1911-2010)

★招待講演

*松本 淳1Villafuerte Marcelino2久保田 尚之3 (1.首都大学東京大学院都市環境科学研究科地理環境科学専攻、2.フィリピン宇宙気象局、3.東京大学)

キーワード:climate change, extreme rainfall, global warming, generalized extreme value distribution

Extreme rainfall values were examined to detect long-term changes in the Philippines and to investigate whether such changes are associated with the rising near-surface global mean temperature and the El Niño–Southern Oscillation (ENSO) for the 100-year period (1911-2010). The generalized extreme value distribution was formulated to its stationary and non-stationary forms, and then was fitted by the maximum likelihood method to the series of daily rainfall annual maxima (RX1day) at 23 meteorological stations in the Philippines. Subsequently, statistically significant changes in extreme rainfall in the country were detected. Such changes were further linked to the near-surface global mean temperature and ENSO. Specifically, the study has revealed a country-averaged increase in the median intensity of extreme rainfall associated with the rise in the near-surface global mean temperature. Furthermore, a seasonal influence of ENSO on extreme rainfall in the Philippines has been shown. In particular, the stations located in the northwest section of the country, where 75–100% of the RX1day occurred in the summer monsoon season (July–September) during the entire period of 1911–2010, showed an average increase in the median intensity of extreme rainfall associated with the ENSO index. These findings imply a potential intensification and increase in the occurrence of extreme rainfall into the future as the global mean temperature continues to rise, and such trends should be considered in adaptation strategies to minimize the disasters caused by extreme rainfall events in the Philippines. In order to minimize these disasters appropriate early detection system of heavy rainfall events are urgently needed in this country.