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    Impact of Kalpana-1-Derived Water Vapor Winds on Indian Ocean Tropical Cyclone Forecasts

    Source: Monthly Weather Review:;2009:;volume( 138 ):;issue: 003::page 987
    Author:
    Deb, S. K.
    ,
    Kishtawal, C. M.
    ,
    Pal, P. K.
    DOI: 10.1175/2009MWR3041.1
    Publisher: American Meteorological Society
    Abstract: The water vapor winds from the operational geostationary Indian National Satellite (INSAT) Kalpana-1 have recently become operational at the Space Applications Centre (SAC). A series of experimental forecasts are attempted here to evaluate the impact of water vapor winds derived from Kalpana-1 for the track and intensity prediction of two Bay of Bengal tropical cyclones (TCs), Sidr and Nargis, using the Weather Research and Forecasting (WRF) modeling system. The assimilation of water vapor winds has made some impact in the initial position errors as well as track forecasts when compared with the corresponding control experiments for both TCs. However, no statistically significant improvement is noticed in the simulations of TC intensities [i.e., minimum sea level pressure (MSLP) and maximum surface winds forecasts when satellite winds are used for assimilation]. Moreover, the performance of Kalpana-1 winds is evaluated by repeating the same sets of experiments using Meteosat-7 winds derived at the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) and compared with observed data. The simulation of initial position errors, and track and intensity forecasts using the assimilation of water vapor winds from both satellites are comparable. Though, these results are preliminary with respect to the Kalpana-1 winds, the present study can provide some insight to the WRF model users over the Indian Ocean region.
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      Impact of Kalpana-1-Derived Water Vapor Winds on Indian Ocean Tropical Cyclone Forecasts

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4211318
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    contributor authorDeb, S. K.
    contributor authorKishtawal, C. M.
    contributor authorPal, P. K.
    date accessioned2017-06-09T16:32:21Z
    date available2017-06-09T16:32:21Z
    date copyright2010/03/01
    date issued2009
    identifier issn0027-0644
    identifier otherams-69628.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4211318
    description abstractThe water vapor winds from the operational geostationary Indian National Satellite (INSAT) Kalpana-1 have recently become operational at the Space Applications Centre (SAC). A series of experimental forecasts are attempted here to evaluate the impact of water vapor winds derived from Kalpana-1 for the track and intensity prediction of two Bay of Bengal tropical cyclones (TCs), Sidr and Nargis, using the Weather Research and Forecasting (WRF) modeling system. The assimilation of water vapor winds has made some impact in the initial position errors as well as track forecasts when compared with the corresponding control experiments for both TCs. However, no statistically significant improvement is noticed in the simulations of TC intensities [i.e., minimum sea level pressure (MSLP) and maximum surface winds forecasts when satellite winds are used for assimilation]. Moreover, the performance of Kalpana-1 winds is evaluated by repeating the same sets of experiments using Meteosat-7 winds derived at the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) and compared with observed data. The simulation of initial position errors, and track and intensity forecasts using the assimilation of water vapor winds from both satellites are comparable. Though, these results are preliminary with respect to the Kalpana-1 winds, the present study can provide some insight to the WRF model users over the Indian Ocean region.
    publisherAmerican Meteorological Society
    titleImpact of Kalpana-1-Derived Water Vapor Winds on Indian Ocean Tropical Cyclone Forecasts
    typeJournal Paper
    journal volume138
    journal issue3
    journal titleMonthly Weather Review
    identifier doi10.1175/2009MWR3041.1
    journal fristpage987
    journal lastpage1003
    treeMonthly Weather Review:;2009:;volume( 138 ):;issue: 003
    contenttypeFulltext
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