Výsledky vyhledávání - "降水予測"

Real-Time Prediction of Line-Shaped Rainband Considering 'Growing Forecast Uncertainty' Estimated from Update History of Ensemble Forecast

Autor: YAMAGUCHI, Kosei, KURODA, Nana, NAKAKITA, Eiichi

Publikováno v: 京都大学防災研究所年報. B. 64:237-276

For disaster prevention, it is important to predict the duration and the amount of rainfall brought by line-shaped rainbands. We examined a prediction method of ensemble forecast under a hypothesis that ensemble forecasts for difficult-to-predict eve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::2d3a48208d86894d37b16e99bbd1c536
http://hdl.handle.net/2433/268159

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テキセツナサイガイヨソクジョウホウリヨウノタメノコウカイゾウドコウスイナウキャストノヨソクセイドヒョウカニツイテノキソテキケントウ

Publikováno v: 都市防災研究論文集. 6:21-26

リアルタイムに公開される高解像度降水ナウキャストの予測値とXRAINの解析雨量を自動画像キャプチャにより取得, 画像解析を行い, その比較から精度検証を行った. ここでは2018年の7月豪

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::da81737f4a0b46c953d03ea8543f16ea
https://dlisv03.media.osaka-cu.ac.jp/il/meta_pub/G0000438repository_21890536-6-21

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A New Ensemble Simulation Analysis Considering Water Vapor Update History for Line-Shaped Rainband Heavy Rainfall Forecasting

Autor: YAMAGUCHI, Kosei, KURODA, Nana, NAKAKITA, Eiichi

Publikováno v: 京都大学防災研究所年報. B. 62:533-544

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::e8baf210c5414e6d0f48a4212e59dffb
http://hdl.handle.net/2433/244979

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タイにおけるディープラーニングによるS2S予測への挑戦

Autor: Hasegawa, Kiyoharu, Kanae, Shinjiro

Subseasonal to seasonal prediction(S2S予測)は未だ水文気象予測に残された難問の1つである． S2S予測とは1か月から数か月にわたるリードタイムを指し，予測精度が急激に低くなることが知られて�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::14f167a71b4528364921fa3c9260fbd1
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100880472

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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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Applicability of Multiple Information Sources of Global Meteorological Condition to Long-term Reservoir Operation

Autor: NOHARA, Daisuke, MIKI, Hiroko, HORI, Tomoharu

Publikováno v: 京都大学防災研究所年報. B. 54:699-709

ダム貯水池の利水操作時における全球気象情報の利用可能性を検討することを目的として, 管理対象とする河川流域の降水量と複数の全球気象情報の格子点データとの相関関係を利用し�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::e80eb8213f4aa6ba205ceec5cf09bc7c
http://hdl.handle.net/2433/151023

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Data Assimilation of the Vertical Profile of Water Vapor and Its Effects on Quantitative Precipitation Forecasting

Autor: YAMAGUCHI, Kosei, NAKAKITA, Eiichi, FURUMOTOJunichi

Publikováno v: 京都大学防災研究所年報. B. 54:375-379

気象予報モデルを用いた短時間降水予測において、水蒸気量のデータ同化の重要性が増してきている。一方、GPS遅延量観測と鉛直方向の音波観測を組み合わせることで水蒸気量の鉛直分�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::a758f8a140bec42bae289ccf2cad3325
http://hdl.handle.net/2433/151052

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Fundamental Study on Long-term Precipitation Prediction Using Information on Global Pressure Height Distribution and Its Availability for Reservoir Operation

Autor: NOHARA, Daisuke, OKADA, Tomoya, HORI, Tomoharu

Publikováno v: 京都大学防災研究所年報. B. 53:707-714

本稿では，500hPa気圧高度分布を利用した二種類の流域降水量予測モデルを構築し，その精度比較を行った。また，予測モデルによって得られた二種類の降水予測状況を渇水被害の軽減を�

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=jairo_______::0ccf2daa5dc5e80aec9775cfac2831a6
http://hdl.handle.net/2433/129359

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