Professor
Ph. D.
Office：Room 613
E-mail：yyamada@eikei.ac.jp
Office Hours：09:00 – 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 “phased array weather radars”, 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℃, difficult and poorly represented even now, aiming at a generation of a new research field entitled “Multiphase meteorology”.
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. （査読有）
- 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”), 12(7), 1374, MDPI AG., DOI: 10.3390/en12071374. （査読有）
- 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. （査読有）
- 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. （査読有）
- 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. （査読有）
Books and Other Publications
- 山田芳則, 2014: 気象庁数値予報の再生可能エネルギー分野での利用. 雑誌「電気現場技術」、53巻、No. 629. 執筆箇所：pp. 12-16.
- 山田芳則, 2014: 数値予報の原理と気象庁数値予報モデルの概要. 技術雑誌「スマートグリッド」, 55巻(10). 執筆箇所：pp. 19-23.
- 山田芳則, 2008: 防災気象情報のためのメソ数値予報モデル. 機関誌「ゆき」（社団法人 雪センター発行）No. 70. 執筆箇所：pp. 23-28.
- 山田芳則, 2003: 気象庁数値予報課報告・別冊「非静力学モデル」. 第49号. pp. 84-89（執筆箇所）.
- 山田芳則, 2003: 「積雲対流スキーム」. 気象庁数値予報課報告・別冊「非静力学モデル」. 第49号. pp. 77-99（執筆箇所）.
Professional Qualifications
- 第三級特殊無線技術士
- 特殊無線技術士（レーダー）
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)
