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    Source: Journal of Atmospheric and Oceanic Technology:;2016:;volume( 034 ):;issue: 002::page 375
    Author:
    Zhang, Shixuan;Pu, Zhaoxia;Posselt, Derek J.;Atlas, Robert
    DOI: 10.1175/JTECH-D-16-0144.1
    Publisher: American Meteorological Society
    Abstract: AbstractThe NASA Cyclone Global Navigation Satellite System (CYGNSS) was launched in late 2016. It will make available frequent ocean surface wind speed observations throughout the life cycle of tropical storms and hurricanes. In this study, the impact of CYGNSS ocean surface winds on numerical simulations of a hurricane case is assessed with a research version of the Hurricane Weather Research and Forecasting Model and a Gridpoint Statistical Interpolation analysis system in a regional observing system simulation experiment framework. Two different methods for reducing the CYGNSS data volume were tested: one in which the winds were thinned and one in which the winds were superobbed.The results suggest that assimilation of the CYGNSS winds has great potential to improve hurricane track and intensity simulations through improved representations of the surface wind fields, hurricane inner-core structures, and surface fluxes. The assimilation of the superobbed CYGNSS data seems to be more effective in improving hurricane track forecasts than thinning the data.
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    contributor authorZhang, Shixuan;Pu, Zhaoxia;Posselt, Derek J.;Atlas, Robert
    date accessioned2018-01-03T10:59:46Z
    date available2018-01-03T10:59:46Z
    date copyright11/28/2016 12:00:00 AM
    date issued2016
    identifier otherjtech-d-16-0144.1.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245807
    description abstractAbstractThe NASA Cyclone Global Navigation Satellite System (CYGNSS) was launched in late 2016. It will make available frequent ocean surface wind speed observations throughout the life cycle of tropical storms and hurricanes. In this study, the impact of CYGNSS ocean surface winds on numerical simulations of a hurricane case is assessed with a research version of the Hurricane Weather Research and Forecasting Model and a Gridpoint Statistical Interpolation analysis system in a regional observing system simulation experiment framework. Two different methods for reducing the CYGNSS data volume were tested: one in which the winds were thinned and one in which the winds were superobbed.The results suggest that assimilation of the CYGNSS winds has great potential to improve hurricane track and intensity simulations through improved representations of the surface wind fields, hurricane inner-core structures, and surface fluxes. The assimilation of the superobbed CYGNSS data seems to be more effective in improving hurricane track forecasts than thinning the data.
    publisherAmerican Meteorological Society
    typeJournal Paper
    journal volume34
    journal issue2
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-16-0144.1
    journal fristpage375
    journal lastpage383
    treeJournal of Atmospheric and Oceanic Technology:;2016:;volume( 034 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian