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    Tropical Cyclone Genesis Guidance Using the Early Stage Dvorak Analysis and Global Ensembles

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 006::page 2133
    Author:
    Yamaguchi, Munehiko;Koide, Naohisa
    DOI: 10.1175/WAF-D-17-0056.1
    Publisher: American Meteorological Society
    Abstract: AbstractTC genesis guidance using the early stage Dvorak analysis technique (EDA) and global ensembles is investigated as one of the statistical?dynamical TC genesis guidance schemes. The EDA is a scheme that enables the analysis of tropical disturbances at earlier stages by adding T numbers of 0.0 and 0.5 to the conventional Dvorak technique. This unique analysis method has been in operation at JMA since 2001. The global ensembles used in this study are the ECMWF, JMA, NCEP, and UKMO ensembles covering from 2010 to 2013. First, probabilities that tropical disturbances analyzed with the EDA reach tropical storm intensity within a certain lead time up to 5 days are statistically investigated. For example, the probabilities that a tropical disturbance analyzed with T numbers of 0.0, 0.5, and 1.0 reaches tropical storm intensity within 2 days are 15%, 23%, and 57%, respectively. While the false alarm ratio (FAR) is found to decrease if the global ensembles simulate the tropical disturbance analyzed with the EDA in the models, it tends to decrease with the increasing number of such ensemble members. Also, it should be noted that the probability of detection (POD) decreases with the increasing number of such ensemble members. One of the potential uses of these verification results is that forecasters could issue TC genesis forecasts by counting ensemble members that successfully simulate a targeted tropical disturbance and then refer to the FAR and POD corresponding to the number of the ensemble members. These would provide some confidence information of the forecasts.
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      Tropical Cyclone Genesis Guidance Using the Early Stage Dvorak Analysis and Global Ensembles

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    contributor authorYamaguchi, Munehiko;Koide, Naohisa
    date accessioned2018-01-03T11:03:22Z
    date available2018-01-03T11:03:22Z
    date copyright10/18/2017 12:00:00 AM
    date issued2017
    identifier otherwaf-d-17-0056.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4246661
    description abstractAbstractTC genesis guidance using the early stage Dvorak analysis technique (EDA) and global ensembles is investigated as one of the statistical?dynamical TC genesis guidance schemes. The EDA is a scheme that enables the analysis of tropical disturbances at earlier stages by adding T numbers of 0.0 and 0.5 to the conventional Dvorak technique. This unique analysis method has been in operation at JMA since 2001. The global ensembles used in this study are the ECMWF, JMA, NCEP, and UKMO ensembles covering from 2010 to 2013. First, probabilities that tropical disturbances analyzed with the EDA reach tropical storm intensity within a certain lead time up to 5 days are statistically investigated. For example, the probabilities that a tropical disturbance analyzed with T numbers of 0.0, 0.5, and 1.0 reaches tropical storm intensity within 2 days are 15%, 23%, and 57%, respectively. While the false alarm ratio (FAR) is found to decrease if the global ensembles simulate the tropical disturbance analyzed with the EDA in the models, it tends to decrease with the increasing number of such ensemble members. Also, it should be noted that the probability of detection (POD) decreases with the increasing number of such ensemble members. One of the potential uses of these verification results is that forecasters could issue TC genesis forecasts by counting ensemble members that successfully simulate a targeted tropical disturbance and then refer to the FAR and POD corresponding to the number of the ensemble members. These would provide some confidence information of the forecasts.
    publisherAmerican Meteorological Society
    titleTropical Cyclone Genesis Guidance Using the Early Stage Dvorak Analysis and Global Ensembles
    typeJournal Paper
    journal volume32
    journal issue6
    journal titleWeather and Forecasting
    identifier doi10.1175/WAF-D-17-0056.1
    journal fristpage2133
    journal lastpage2141
    treeWeather and Forecasting:;2017:;volume( 032 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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