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    Determining Tropical Cyclone Surface Wind Speed Structure and Intensity with the CYGNSS Satellite Constellation

    Source: Journal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 007::page 1847
    Author:
    Morris, Mary
    ,
    Ruf, Christopher S.
    DOI: 10.1175/JAMC-D-16-0375.1
    Publisher: American Meteorological Society
    Abstract: YGNSS?the Cyclone Global Navigation Satellite System?consists of a constellation of eight microsatellites which will provide observations of surface wind speed in all precipitating conditions. A method for estimating tropical cyclone (TC) metrics?maximum surface wind speed (VMAX), radius of maximum surface wind speed (RMAX), and wind radii (R64, R50, R34)? from CYGNSS observations is developed and tested based on simulated CYGNSS observations with realistic measurement errors. Using two inputs, 1) CYGNSS observations and 2) the storm center location, estimates of TC metrics are possible through the use of a parametric wind model algorithm which effectively interpolates between the available observations as a constraint on the assumed wind speed distribution. This methodology has promising performance based on the simulations presented. In particular, after quality control filters based on sampling properties are applied to our population of test cases, the standard deviation of retrieval error for VMAX is 4.3 m s-1 (where 1 m s-1 = 1.94 kt), for RMAX is 17.4 km, for R64 is 16.8 km, for R50 is 21.6 km, and for R34 is 41.3 km (where 1 km = 0.54 n mi). These TC data products will be available for the 2017 Atlantic hurricane season using on-orbit CYGNSS observations, but near-real time operations is the subject of future work. Future work will also include calibration and validation of the algorithm once real CYGNSS data are available.
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      Determining Tropical Cyclone Surface Wind Speed Structure and Intensity with the CYGNSS Satellite Constellation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4217796
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    contributor authorMorris, Mary
    contributor authorRuf, Christopher S.
    date accessioned2017-06-09T16:51:44Z
    date available2017-06-09T16:51:44Z
    date issued2017
    identifier issn1558-8424
    identifier otherams-75458.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4217796
    description abstractYGNSS?the Cyclone Global Navigation Satellite System?consists of a constellation of eight microsatellites which will provide observations of surface wind speed in all precipitating conditions. A method for estimating tropical cyclone (TC) metrics?maximum surface wind speed (VMAX), radius of maximum surface wind speed (RMAX), and wind radii (R64, R50, R34)? from CYGNSS observations is developed and tested based on simulated CYGNSS observations with realistic measurement errors. Using two inputs, 1) CYGNSS observations and 2) the storm center location, estimates of TC metrics are possible through the use of a parametric wind model algorithm which effectively interpolates between the available observations as a constraint on the assumed wind speed distribution. This methodology has promising performance based on the simulations presented. In particular, after quality control filters based on sampling properties are applied to our population of test cases, the standard deviation of retrieval error for VMAX is 4.3 m s-1 (where 1 m s-1 = 1.94 kt), for RMAX is 17.4 km, for R64 is 16.8 km, for R50 is 21.6 km, and for R34 is 41.3 km (where 1 km = 0.54 n mi). These TC data products will be available for the 2017 Atlantic hurricane season using on-orbit CYGNSS observations, but near-real time operations is the subject of future work. Future work will also include calibration and validation of the algorithm once real CYGNSS data are available.
    publisherAmerican Meteorological Society
    titleDetermining Tropical Cyclone Surface Wind Speed Structure and Intensity with the CYGNSS Satellite Constellation
    typeJournal Paper
    journal volume056
    journal issue007
    journal titleJournal of Applied Meteorology and Climatology
    identifier doi10.1175/JAMC-D-16-0375.1
    journal fristpage1847
    journal lastpage1865
    treeJournal of Applied Meteorology and Climatology:;2017:;volume( 056 ):;issue: 007
    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
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