Professor
Ph. D.
Officeｼ啌oom 613
E-mailｼyyamada@eikei.ac.jp
Office Hoursｼ09:00 窶 17:45
Academics
AcademicsFaculty Information
YAMADA Yoshinori
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
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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.
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Development of sophisticated microphysical models describing the formation of precipitating particles.
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Clarification of mechanisms of torrential rainfall and heavy snowfall
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Interaction of precipitating clouds and precipitation systems with topography
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Elucidation of mechanisms producing severe phenomena such as gusts and short-period intense rainfall in convective clouds
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High-accuracy wind recovery methods from Doppler radar observations
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Estimation of solar irradiance for photovoltaics
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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)
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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
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)
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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)
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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)
