JpGU-AGU Joint Meeting 2017

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[EJ] Poster

A (Atmospheric and Hydrospheric Sciences) » A-HW Hydrology & Water Environment

[A-HW34] [EJ] Hydrological Cycle and Water Environment

Mon. May 22, 2017 3:30 PM - 5:00 PM Poster Hall (International Exhibition Hall HALL7)

convener:Takeshi Hayashi(Faculty of Education and Human Studies, Akita University), Maksym Gusyev(International Centre for Water Hazard Risk Management, Public Works Research Institute), Seiya Nagao(Institute of Nature and Environmental Technology, Kanazawa University), Isao Machida(Geological Survey of Japan), Shin'ichi Iida(Department of Disaster Prevention, Meteorology and Hydrology, Forestry and Forest Products Research Institute)

[AHW34-P04] Evaluating Dynamically and Statistically Downscaled Climate Model for Rainfall Extreme: A Case from Karnali Basin in Western Nepal

*Jeeban Panthi1 (1.Small Earth Nepal)

Keywords:Rainfall, Himalayas, Extreme, Models

It is well agreed that the climatic extremes events are increasing in last few decades and many scenarios have predicted that those events will increase also in future. There are is an agreement among the climate models on the future increase in temperature, however in case of rainfall, there is a high uncertainty. The global climate models are downscaled either by using the local topography (dynamic) or by establishing a relationship of local weather with the large scale atmospheric phenomenon (statistical). In this paper we attempt to analyze the rainfall extreme events with the dynamically downscaled regional climate models and GCM informed statistically downscaled models for a data scare region of Nepal-Karnali basin. We tested the performances of CORDEX South Asia data and downscaled at the station scale using the SDSM 5.2 (Decision Centric) by providing the GCM informed climate scenarios.