Job title Head/The 1st lab./Department of Physical Meteorology Research
E-mail rohashimotoakih
Expertise Cloud microphysics, Numerical modelling of aerosol, cloud and precipitation, Numerical modelling of volcanic ash transport
Degree Ph.D.
  • Hashimoto, A., S. Nakai, M. Katsumata, S. Hayashi, 2022: Numerical simulation of the melting layer with a distorted bright band, observed on February 15, 2014, in Japan. CAS/JSC WGNE Research Activities in Earth System Modelling, 52, 5.05-5.06.
  • Iizuka, Y., S. Matoba, M. Minowa, T. Yamasaki, K. Kawakami, A. Kakugo, M. Miyahara, A. Hashimoto, M. Niwano, T. Tanikawa, K. Fujita, T. Aoki, 2021: Ice Core Drilling and the Related Observations at SE-Dome site, southeastern Greenland Ice Sheet, Bull. Glaciol. Res., 39, 1-12. doi:10.5331/bgr.21R01.
  • Sato Y., S. Hayashi, and A. Hashimoto, 2021: Difference in the lightning frequency between the July 2018 heavy rainfall event over central Japan and the 2017 northern Kyushu heavy rainfall event in Japan, Atmos. Sci. Lett., 23, e1067. doi:10.1002/asl.1067.
  • Shima, S., Y. Sato, A. Hashimoto, and R. Misumi, 2020: Predicting the morphology of ice particles in deep convection using the super-droplet method: development and evaluation of SCALE-SDM 0.2.5-2.2.0, -2.2.1, and -2.2.2, Geosci. Model Dev., 13, 4107–4157, doi:10.5194/gmd-13-4107-2020.
  • Hashimoto, A., H. Motoyoshi, N. Orikasa, and R. Misumi, 2020: Process-Tracking Scheme Based on Bulk Microphysics to Diagnose the Features of Snow Particles. SOLA, 16, 51-56, doi:10.2151/sola.2020-009.
  • Yamaguchi, S, M. Ishizaka, H. Motoyoshi, S. Nakai, V. Vionnet, T. Aoki, K. Yamashita, A. Hashimoto, and A. Hachikubo, 2019: Measurement of specific surface area of fresh solid precipitation particles in heavy snowfall regions of Japan. The Cryosphere, 13, 2713-2732, doi:10.5194/tc-13-2713-2019.
  • Hashimoto, A., T. Yamasaki, T. Aoki, M. Niwano, and S. Yamaguchi, 2019: Occurrence frequency of strong winds at Siorapaluk and Qaanaaq in northwest Greenland. Snow and Ice in Hokkaido, 38, 81-84. (in Japanese with English abstract)
  • Niwano, M, A. Hashimoto, and T. Aoki, 2019: Cloud-driven modulations of Greenland ice sheet surface melt. Scientific Reposrts, 9, 10380, doi:10.1038/s41598-019-46152-5.
  • Hashimoto, A., H. Motoyoshi, R. Misumi, N. Orikasa, 2018: Sophistication of snow particle property prediction by numerical weather model. Snow and Ice in Hokkaido, 37, 63-66. (in Japanese)
  • Hashimoto, A., M. Murakami, and S. Haginoya, 2017: First application of JMA-NHM to meteorological simulation over the United Arab Emirates. SOLA, 13, 146-150, doi:10.2151/sola.2017-027.
  • Hashimoto, A., M. Niwano, T. Aoki, S. H. Motoyoshi, S. Yamaguchi and S. Nakai, 2017: Numerical weather prediction experiment in collaboration with research activities in glaciology and snow disaster prevention. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 47, 5.11-5.12.
  • Hashimoto, A., M. Niwano, T. Aoki, S. Tsutaki, S. Sugiyama, T. Yamasaki, Y. Iizuka and S. Matoba, 2017: Numerical Weather Prediction System based on JMA-NHM for Field Observation Campaigns on the Greenland Ice Sheet. Low Temp. Sci., 75, 91-104, doi:10.14943/lowtemsci.75.91.
  • Hashimoto, A. and M. Murakami, 2016: Numerical Simulations of Glaciogenic Cloud Seeding with Dry Ice Pellets and Liquid Carbon Dioxide under Simplified Conditions. SOLA, 12, 22-26, doi:10.2151/sola.2016-005.
  • Kato, T., H. Motoyoshi, Y. Yamada, A. Hashimoto, S. Nakai, and M. Ishizaka, 2015: Factors of model underestimation of snow fall over the Japan-Sea coastal areas in middle Japan: Comparison with observed precipitation particles. CAS/JSC WGNE Research Activities in Atmospheric and Oceanic Modelling, 45, [2015/6], WMO, http://www.wcrp-climate.org/WGNE/BlueBook/2015/individual-articles/04_Kato_Teruyuki_snowfall_underestimation.pdf.
  • Hashimoto, A., M. Murakami, Y. Yoshida, and N. Haneda, 2015: Evaluation of effectiveness of artificial snow enhancement. Meteor. Res. Note, 231, 147−187. (in Japanese)
  • Hashimoto, A., M. Murakami, T. Ishii, 2015: Evaluation of effectiveness of artificial rain enhancement. Meteor. Res. Note, 231, 189-204. (in Japanese)
  • Hashimoto, A., N. Kuba and M. Murakami, 2015: Research on Precipitation Enhancement by Using Numerical Model. Earozoru Kenkyu, 30, 32-39, doi:10.11203/jar.30.32. (in Japanese with English abstract and captions)
  • Ohtake, H., M. Murakami, N. Orikasa, A. Hashimoto, A. Saito, and T. Kato, 2014: Statistical Validation of a Cloud Resolving Model Using Aircraft Observations of Orographic Snow Clouds. J. Metor. Soc. Japan, 92, 287-304. doi:10.2151/jmsj.2014-402.
  • Hashimoto, A., 2014: Development of sophisticated bin-microphysics model. Low Temperature Science, 72, 71-78. http://hdl.handle.net/2115/55019 (in Japanese with English abstract and captions)
  • Yamashita, K., M. Murakami, T. Tajiri, and A. Hashimoto, 2014: Development of a box model with detailed cloud microphysics to treat nucleations of droplet and ice crystal from mineral dust particles. Low Temperature Science, 72, 79-86.http://hdl.handle.net/2115/55020 (in Japanese with English abstract and captions)
  • Lulin Xue*, Akihiro Hashimoto, Masataka Murakami, Roy Rasmussen*, Sarah A. Tessendorf*, Daniel Breed*, Shaun Parkinson*, Pat Holbrook* and Derek Blestrud*, 2013: Implementation of a Silver Iodide Cloud-Seeding Parameterization in WRF. Part I: Model Description and Idealized 2D Sensitivity Tests. Journal of Applied Meteorology and Climatology, 52, 1433-1457.
  • Hashimoto, A., T. Shimbori and K. Fukui, 2012: Tephra Fall Simulation for the Eruptions at Mt. Shinmoe-dake during 26-27 January 2011 with JMANHM. SOLA, 8, 37-40, doi:10.2151/sola.2012-010.