@article{1954571fbd934cdb9d4443096a1736ab,
title = "Pseudo global warming experiment of flood inundation in the upper White Volta River, Ghana",
abstract = "Study area: Upper White Volta River Study focus: Hydro-meteorological inundation models were applied to simulate an extreme river flood that occurred in the upper White Volta River in September of 2020. The predicted inundation area was in good agreement with the flood area estimated by Sentinel-1A SAR. In addition, pseudo global warming (PGW) simulations using the SSP5–8.5 (Shared Socio-economic Pathway 5–8.5) scenario according to IPCC AR6 were conducted to evaluate the extreme rainfall and associated inundation area under warmer environmental conditions. New hydrological insights for the region: As a result of simulations, the average future rainfall intensity is likely to increase mainly due to higher relative humidity in the regional atmosphere. Associated with these changes, it is likely that the extent of the ensemble average future expected flooded area in the upper White Volta River could slightly increase by 1.04 times under the PGW conditions, compared with present climate conditions. The result of this study implies that floods in the upper White Volta River have the potential of becoming more severe under the most extreme future global warming scenarios.",
keywords = "Nays 2D Flood, PGW experiment, SSP5–8.5 scenario, WRF-Hydro",
author = "Ryota Takayama and Ryota Nakamura and Miguel Esteban and Martin M{\"a}ll and Kota Ohizumi",
note = "Funding Information: This study is financially supported by Belmont forum CAR (Re-Energize DR3: No. JPMJBF2005 ) from Japan Science and Technology Agency (JST), a Grant-in-Aid for Fostering Joint International Research (B) (No. 20KK0107 ) from the Japan Society for the Promotion of Science and Sasaki Environment Technology Foundation . A part of the present work was performed as a part of activities of Research Institute of Sustainable Future Society, Waseda Research Institute for Science and Engineering, Waseda University. We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. Funding Information: This study is financially supported by Belmont forum CAR (Re-Energize DR3: No. JPMJBF2005) from Japan Science and Technology Agency (JST), a Grant-in-Aid for Fostering Joint International Research (B) (No. 20KK0107) from the Japan Society for the Promotion of Science and Sasaki Environment Technology Foundation. A part of the present work was performed as a part of activities of Research Institute of Sustainable Future Society, Waseda Research Institute for Science and Engineering, Waseda University. We acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the data and providing access, and the multiple funding agencies who support CMIP6 and ESGF. Publisher Copyright: {\textcopyright} 2022 The Authors",
year = "2023",
month = feb,
doi = "10.1016/j.ejrh.2022.101297",
language = "English",
volume = "45",
journal = "Journal of Hydrology: Regional Studies",
issn = "2214-5818",
publisher = "Elsevier BV",
}