Academics

AcademicsFaculty Information

YAMADA Yoshinori

Professor
Ph. D.
Officeシ啌oom 613
E-mailシyyamada@eikei.ac.jp
Office Hoursシ09:00 窶 17:45

Academic Field / Expertise

Environmental Studies, Data science

Introduction of the Research

My research field mainly concerns clouds and precipitation systems that produce torrential rainfall and heavy snowfall.  In particular, time evolution of three-dimensional structures of these clouds over a flat or a complex terrain is studied by using Doppler radar data and numerical model simulations.  Sophisticated microphysical models are also developed.

Research Theme

  1. Elucidation of time evolution of three-dimensional structures of clouds producing heavy rainfall and snowfall, mainly based on Doppler radar observations and numerical model experiments.

  2. Development of sophisticated microphysical models describing the formation of precipitating particles.

  3. Clarification of mechanisms of torrential rainfall and heavy snowfall

  4. Interaction of precipitating clouds and precipitation systems with topography

  5. Elucidation of mechanisms producing severe phenomena such as gusts and short-period intense rainfall in convective clouds

  6. High-accuracy wind recovery methods from Doppler radar observations

  7. Estimation of solar irradiance for photovoltaics

  8. Numerical modeling and polarimetric-radar detection of various types of melting ice particles produced at temperatures around 0 degrees Celsius (Grant-in-Aid for Scientific Research (B): Principal Investigator)

  9. Advancement of bulk microphysical models for ice and the model evaluation by snow particle observations and radar data.

    Joint Research Program of the Institute of Low Temperature Science, Hokkaido University (2022FY).

Details of the Research

Torrential rainfall and heavy snowfall sometimes cause severe disasters, the forecasts of such events are, however, still difficult.  This difficulty comes, in part, from the fact that the actual situation of such clouds (time evolution of three-dimensional structures, for example) is still unclear, and that the precipitation mechanisms are not well understood.  Since they rapidly evolve with time, rapid observation systems such as Doppler radars and high-resolution numerical models are required.  In addition, sophisticated microphysical models representing the precipitation formation process should be developed to clarify precipitation mechanisms that produce heavy rainfall and snowfall. 

To elucidate the time evolution of convective clouds and precipitation systems, a high performant system based on multiple-Doppler wind synthesis is developed by myself for three-dimensional wind recovery over a flat or a complex terrain, allowing even research on the interaction of precipitation systems and clouds with topography.  Such interaction is less studied but is important in Japan because the area of mountainous land occupies more than 70% of the national land.  With this system appearing globally near the top-level, an accurate determination of wind fields is available.  Recently, this system applied to the dual-Doppler wind synthesis employing two advanced Doppler radars, called 窶徘hased array weather radars窶, successfully revealed rapid time change in the structures of an active convective precipitation system at 30-second intervals. 

Development of sophisticated microphysical models describing the formation of precipitating particles is also made.  The model development is still continued by enhancing the melting process of ice particles near 0邃, difficult and poorly represented even now, aiming at a generation of a new research field entitled 窶廴ultiphase meteorology窶.

List of Papers

  • Yamada, Y., 2021: An efficient practical post-processing algorithm for the quality control of dual-pulse repetition frequency Doppler velocity data.  J. Meteor. Soc. Japan, 99, 731-739.  Doi: https://doi.org/10.2151/jmsj.2021-036. シ域渊隱ュ譛会シ
  • Ohtake, H., F. Uno, T. Oozeki, S. Hayashi, J. Ito, A. Hashimoto, H. Yoshimura, Y. Yamada, 2019: Solar Irradiance Forecasts by Mesoscale Numerical Weather Prediction Models with Different Horizontal Resolutions.  Energies (Special Issue "Renewable Energy Resource Assessment and Forecasting窶), 12(7), 1374, MDPI AG., DOI: 10.3390/en12071374. シ域渊隱ュ譛会シ
  • Ohtake, H., F. Uno, T. Oozeki, Y. Yamada, H. Takenaka, and T. Y. Nakajima, 2018: Estimation of satellite-derived regional photovoltaic power generation using a satellite-estimated solar radiation data.  シ域渊隱ュ譛会シ
  • Ohtake, H., F. Uno, T. Oozeki, Y. Yamada, H. Takenaka, and T. Y. Nakajima, 2018: Outlier events of solar forecasts for regional power grid in Japan using JMA mesoscale model. Energies, Vol. 11, MDPI doi:10.3390/en11102714. シ域渊隱ュ譛会シ
  • Campbella, L. S.,  W. J. Steenburgh, Y. Yamada, M. Kawashima, and Y. Fujiyoshi, 2018: Influences of orography and coastal geometry on a transverse-mode sea-effect snowstorm over Hokkaido Island, Japan.  Monthly Weather Review, Vol. 146, pp. 2201-2220.  シ域渊隱ュ譛会シ

Books and Other Publications

  • 螻ア逕ー闃ウ蜑, 2014: 豌苓ア。蠎∵焚蛟、莠亥ア縺ョ蜀咲函蜿ッ閭ス繧ィ繝阪Ν繧ョ繝シ蛻驥弱〒縺ョ蛻ゥ逕ィ.  髮題ェ後碁崕豌礼樟蝣エ謚陦薙阪53蟾サ縲¨o. 629.  蝓キ遲邂謇シ嗔p. 12-16.
  • 螻ア逕ー闃ウ蜑, 2014: 謨ー蛟、莠亥ア縺ョ蜴溽炊縺ィ豌苓ア。蠎∵焚蛟、莠亥ア繝「繝繝ォ縺ョ讎りヲ.  謚陦馴尅隱後後せ繝槭シ繝医げ繝ェ繝繝峨, 55蟾サ(10). 蝓キ遲邂謇シ嗔p. 19-23.
  • 螻ア逕ー闃ウ蜑, 2008: 髦イ轣ス豌苓ア。諠蝣ア縺ョ縺溘a縺ョ繝。繧ス謨ー蛟、莠亥ア繝「繝繝ォ. 讖滄未隱後後f縺阪搾シ育、セ蝗」豕穂ココ 髮ェ繧サ繝ウ繧ソ繝シ逋コ陦鯉シ丑o. 70. 蝓キ遲邂謇シ嗔p. 23-28.
  • 螻ア逕ー闃ウ蜑, 2003: 豌苓ア。蠎∵焚蛟、莠亥ア隱イ蝣ア蜻翫サ蛻・蜀翫碁撼髱吝鴨蟄ヲ繝「繝繝ォ縲. 隨ャ49蜿キ. pp. 84-89シ亥濤遲邂謇シ.
  • 螻ア逕ー闃ウ蜑, 2003: 縲檎ゥ埼峇蟇セ豬√せ繧ュ繝シ繝縲. 豌苓ア。蠎∵焚蛟、莠亥ア隱イ蝣ア蜻翫サ蛻・蜀翫碁撼髱吝鴨蟄ヲ繝「繝繝ォ縲. 隨ャ49蜿キ. pp. 77-99シ亥濤遲邂謇シ.

Professional Qualifications

  • 隨ャ荳臥エ夂音谿顔┌邱壽橿陦灘」ォ
  • 迚ケ谿顔┌邱壽橿陦灘」ォシ医Ξ繝シ繝繝シシ

Key Words of the Research

Precipitation system, convective clouds, severe phenomena,heavy rain, heavy snowfall, Doppler radar, Cloud microphysics modeling, Interaction between clouds and topography, Multiple-Doppler radar analysis over complex terrain

Related SDGs
  • 繧ィ繝阪Ν繧ョ繝シ繧偵∩繧薙↑縺ォ縺昴@縺ヲ繧ッ繝ェ繝シ繝ウ縺ォ
  • 豌苓ア。螟牙虚縺ォ蜈キ菴鍋噪縺ェ蟇セ遲悶r

Other Information

  • 2022-2024FY: Numerical modeling and polarimetric-radar detection of various types of melting ice particles produced at temperatures around 0 degrees Celsius. (Grant-in-Aid for Scientific Research (B): Principal Investigator)
  • 2019-2021FY:  Study on the generation mechanisms and nowcast of convective severe weather phenomena over diverse terrain by advanced methods. (Grant-in-Aid for Scientific Research (A): Principal Investigator)

  • 2014-2016FY:  Study on features of snow clouds producing heavy snowfalls and gusts of wind by high-resolution observations and numerical models.  (Grant-in-Aid for Scientific Research (A): Principal Investigator)