Výsledky vyhledávání - "降水粒子"

Dissertation/ Thesis

マルチフラクタルに着目した線状対流系豪雨の組織化過程解析及び発生検知手法への応用

Autor: 大野, 哲之

甲第25238号
工博第5197号
新制||工||1992(附属図書館)
学位規則第4条第1項該当
Doctor of Agricultural Science
Kyoto University
DGAM

Externí odkaz: http://hdl.handle.net/2433/288672

Multifractal Properties in Occurrence and Development of Linear Mesoscale Convective Systems: Characterized byWater Vapor Flux and Precipitation Particles Distribution

Autor: ONO, Akiyuki, YAMAGUCHI, Kosei, NAKAKITA, Eiichi

Publikováno v: 京都大学防災研究所年報. B. 65:298-306

Multifractal has been widely applied as the tool of quantitative pattern analysis. We investigated multifractal properties of water vapor flux and precipitation particles distribution associated with line-shaped rain bands to identify the three-dimen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::ac52d3ae02345c7249cac98a684787f1
http://hdl.handle.net/2433/279437

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熱的勾配が駆動する渦度場の解明とデータ同化実験

Autor: ONO, Akiyuki, YAMAGUCHI, Kosei, NAKAKITA, Eiichi

Publikováno v: 京都大学防災研究所年報. B. 64:277-293

In this research, potential temperature gradient based vorticity which is the expression of baroclinic is obtained to analyze the energy structure of the vorticity field in developing clouds. First, applying the variational method enables us to obtai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::f294792fb1b1602d676a58b07fd4d79f
http://hdl.handle.net/2433/268160

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Akademický článek

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Using Ensemble Assimilation of XRAIN Data for Analyzing Generation of the Mesoscale Convective System in Middle-Low Levels

Autor: YAMAGUCHI, Kosei, HORIIKE, Yosuke, NAKAKITA, Eiichi

Publikováno v: 京都大学防災研究所年報. B. 60:615-621

Initial condition is difficult to determine for Numerical Weather Prediction of rainfall prediction. Data assimilation (DA) is expected to improve the initial condition in the model. This study examines the influence of the low-temperature on the gen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::4a520c033f75cfbf0327f40841842dfb
http://hdl.handle.net/2433/229367

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偏波ドップラーレーダの同化によるメソ対流系の降水予測精度向上に関する研究

Autor: YAMAGUCHI, Kosei, FURUTA, Kohei, NAKAKITA, Eiichi

Publikováno v: 京都大学防災研究所年報. B. 59:298-322

The short lead time rainfall prediction by Numerical Weather Prediction model has some difficulties in the spin-up problem. Therefore, data assimilation (DA) is expected to improve the initial condition in the model. In this study, our developed ense

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::4375dcc82f05dfbfb16a0ad670bebca5
http://hdl.handle.net/2433/217292

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Cloud Ensemble Assimilation of Qualitative Microphysics Information Estimated from Polarimetric Radar Observation

Autor: YAMAGUCHI, Kosei, FURUTA, Kohei, NAKAKITA, Eiichi

Publikováno v: 京都大学防災研究所年報. B. 56:369-377

An impact on rainfall prediction by the data assimilation of the qualitative precipitation information estimated from the polarimetric radar measurements is evaluated. Our developed meso-scale data assimilation system, CReSS-LETKF, is employed as a d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::f576779a7753b573d433173161ffa5a9
http://hdl.handle.net/2433/181529

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Estimation of Mixed Hydrometeor Types in Ice Phase Using the Latest Polarimetric Radar

Autor: NAKAKITA, Eiichi, SUMIDA, Yasuhiko, YAMAGUCHI, Kosei, SUZUKI, Kenji, NAKAGAWA, Katsuhiro, KAWAMURA, Seiji

Publikováno v: 京都大学防災研究所年報. B. 53:433-446

最新型の偏波レーダーは，降水粒子の大きさや形，向きなどの特性に敏感であるため，降水粒子タイプの判別が可能である。しかし，上空の降水粒子を直接観測することは大変困難であ�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::8f3214c5977880c13b6449a226677e24
http://hdl.handle.net/2433/129383

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Data Assimilation of Hydrometeor Types Estimated from Polarimetric Weather Radar

Autor: YAMAGUCHI, Kosei, NAKAKITA, Eiichi

Publikováno v: 京都大学防災研究所年報. B. 52:539-546

偏波気象レーダーは降水粒子の種類や形状に関する情報を観測することができる。本研究では，偏波レーダーの観測情報から推定される降水粒子の種類に関する情報をデータ同化するこ�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::420d4abe94cc077a578ee591aac05d93
http://hdl.handle.net/2433/129291

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