NAKAEGAWA Tosiyuki

Job title	Head/The 2nd lab./Department of Applied Meteorology Research
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Expertise	Fields: Hydroclimate, Seasonal Prediction, Future Climate Projection, River Engineering Activities: Research fellow, Institute of Industrial Science, The University of Tokyo Member, Expert team on climate indices for decision-making, WMO Member, ESCAP/WMO Typhoon Committee, Member, International Commission on Climate, International Association of Meteorology and Atmospheric Science (IAMAS), Member, Investigative commission on adaptation to impact of future climate change on water resources sector, Ministry of Land, Transport, and Infrastructure, Member, Study team for evaluation of climate-change-intensified disasters, Ministry of Environment, Japan Member, Study team for liaison between climate change projection and impact assessment, Ministry of Environment, Japan Member, Working group on sector-specific Investigative commission on adaptation to impact of future climate change on water resources sector, Ministry of Environment, Member, Editorial board member of special issue of JMSJ and SOLA, Meteorological Society of Japan Member, Committee on international journal, Hydrological Research Letters, Japan Society of Hydrology and Water Resources Member, Committee on award recommendation, Japan Society of Hydrology and Water Resources Awards Letter of Recognition, ESCAP/WMO Typhoon Committee (2020) Certificate in appreciation of services to the World Meteorological Organization, The World Meteorological Organization (2018) Research Article Award of Japan Society of Hydrology and Water Resources, Japan Society of Hydrology and Water Resources (2012) Young Scientist Research Article Award of Remote Sensing Society of Japan, Remote Sensing Society of Japan (2002) Scholar Award of Japan Society of Hydrology and Water Resources, Japan Society of Hydrology and Water Resources (1998) Young Scientist Article Research Award of Annual Journal of Hydraulic Engineering, Japan Society of Civil Engineering (1995) Young Scientist Research Article Award of Japan Society of Hydrology and Water Resources, Japan Society of Hydrology and Water Resources (1995)
Degree	Ph.D in Engineering
Publications	Nakaegawa, T., T. Kobashi, and H. Kamahori. 2020. Characteristics of Extreme Value Statistics of Annual Maximum Monthly Precipitation in East Asia calculated using an Earth System model of intermediate complexity, atmosphere, 11(12), 1273, DOI: 10.3390/10.3390/atmos11121273 Takayabu, I., N. N. Ishizaki, T. Nakaegawa, H. Sasaki, W. Wongseree. 2021. Potential of representing the diurnal cycle of local-scale precipitation in northeastern Thailand using 5-km and 2-km grid regional climate models. Hydrological Research Letters, 15, 1-8. DOI: 10.3178/hrl.15.1 Shiogama, H., N. N. Ishizaki, N. Hanasaki, K. Takahashi, S. Emori, R. Ito, T. Nakaegawa, I. Takayabu, Y. Hijioka, Y. N. Takayabu, R. Shibuya. 2021. Selecting CMIP6-based future climate scenarios for impact and adaptation studies. SOLA, DOI: 10.2151/sola.2021-009 Kawase, H., A. Murata, K. Yamada, T. Nakaegawa, R. Ito, R. Mizuta, M. Nosaka, S. Watanabe, H. Sasaki. 2020. Regional characteristics of future changes in snowfall in Japan under RCP2.6 and RCP8.5 scenarios, SOLA, 16, pp.1-7. DOI:10.2151/sola.2021-0001 Nakaegawa, R. Pinzón, J. R. Fábrega, J. A. Cuevas, H. A. De Lima, E. Cordoba, K. Nakayama, J. I. Batista Lao, A. L. Melo, D. A. Gonzalez, S. Kusunoki, 2019: Seasonal changes of the diurnal variation of precipitation in the upper Río Chagres basin, Panamá. PLOS ONE. 14(12): e0224662. https://doi.org/10.1371/journal.pone.0224662 KAWASE, H., IMADA, Y., TSUGUTI, H., NAKAEGAWA, T., SEINO, N., MURATA, A., & TAKAYABU, I. (2019). THE HEAVY RAIN EVENT OF JULY 2018 IN JAPAN ENHANCED BY HISTORICAL WARMING. BAMS DOI:10.1175/BAMS-D-19-0173.1 Kusunoki, S., T. Nakaegawa, R. Pinzón, J. S. Galan and J. R. Fábrega, 2019: Future precipitation changes over Panama projected with the atmospheric global model MRI-AGCM3.2. Climate Dynamics. Nakaegawa T, K. Hibino, I. Takayabu (2019) Future climates in major seven cities in russia under a global warming by a climate ana-logue approach, Journal of Japan Society of Civil Engineering, Ser. B1 (Hydraulic Engineering), 75, No.2, I_1045-I_1050. Kawase, H., Y. Imada, H. Sasaki, T. Nakaegawa, A. Murata, M. Nosaka, I. Takayabu, 2019: Contribution of historical global warming to local-scale heavy precipitation in western Japan estimated by large ensemble high-resolution simulations. J. Geophys. Res., doi:10.1002/2017JD027531 Sawada, Y., T. Nakaegawa and T. Miyoshi, 2018: VHydrometeorology as an inversion problem: Can river discharge observations improve the atmosphere by ensemble data assimilation? J. Geophys. Res., 123, 848-860. doi:10.1002/2017JD027531 Pinzon, R., K. Hibino, I. Takayabu, T. Nakaegawa, 2017: Virtual feeling future climate changes in Central America with MRI-AGCM: climate analogues study. Hydrological Research Letters, 11, 106-113. doi: 10.3178/10.3178/hrl.11.106. Kobashi, T., Menviel, L., Jeltsch-Thömmes, A., Vinther, B. M., Box, J. E., Muscheler, R., Nakaegawa, T., Pfister, PL, Döring, M., Leuenberger, M., Wanner, H., Ohmura, A., 2017: Volcanic influence on centennial to millennial Holocene Greenland temperature change. Scientific reports, 7, 1441. doi: 10.1038/s41598-017-01451-7. Nakaegawa, T., K. Hibino, and I. Takayabu, 2017: Identifying climate analogues for cities in Australia by a non-parametric approach using multi-ensemble, high-horizontal-resolution future climate projections by an atmospheric general circulation model, MRI-AGCM3.2H, Hydrological Research Letters, 11, 72-78. /doi: 10.3178/hrl.11.72. Nakaegawa, T., 2017: Statistical evaluation of future climate soil moisture changes in East Asia in a CMIP5 multi-model ensemb. Hydrological Research Letters, 11, 37-43. /doi: 10.3178/hrl.11.37. Nakaegawa, T., S. Horiuchi, H. Kim: Development of a web application for examining climate data of global lake basins: CGLB. Hydrological Research Letters , 125-132. doi: 10.3178/hrl.9.125. T. Nakaegawa, O. Arakawa, K. Kamiguchi, 2015: Investigation of Climatological Onset and Withdrawal of the Rainy Season in Panama Based on a Daily Gridded Precipitation Dataset with a High Horizontal Resolution. Journal of Climate. Journal of Climate, 28, 2745-2763. /doi:10.1175/JCLI-D-14-00243.1
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