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    Understanding the Influence of Assimilating Subsets of Enhanced Atmospheric Motion Vectors on Numerical Analyses and Forecasts of Tropical Cyclone Track and Intensity with an Ensemble Kalman Filter 

    Source: Monthly Weather Review:;2015:;volume( 143 ):;issue: 007:;page 2506
    Author(s): Wu, Ting-Chi; Velden, Christopher S.; Majumdar, Sharanya J.; Liu, Hui; Anderson, Jeffrey L.
    Publisher: American Meteorological Society
    Abstract: ecent studies have shown that assimilating enhanced satellite-derived atmospheric motion vectors (AMVs) has improved mesoscale forecast of tropical cyclones (TC) track and intensity. The authors conduct data-denial experiments ...
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    Influence of Assimilating Satellite-Derived Atmospheric Motion Vector Observations on Numerical Analyses and Forecasts of Tropical Cyclone Track and Intensity 

    Source: Monthly Weather Review:;2013:;volume( 142 ):;issue: 001:;page 49
    Author(s): Wu, Ting-Chi; Liu, Hui; Majumdar, Sharanya J.; Velden, Christopher S.; Anderson, Jeffrey L.
    Publisher: American Meteorological Society
    Abstract: he influence of assimilating enhanced atmospheric motion vectors (AMVs) on mesoscale analyses and forecasts of tropical cyclones (TC) is investigated. AMVs from the geostationary Multifunctional Transport Satellite (MTSAT) ...
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    All-Sky Radiance Assimilation of ATMS in HWRF: A Demonstration Study 

    Source: Monthly Weather Review:;2018:;volume 147:;issue 001:;page 85
    Author(s): Wu, Ting-Chi; Zupanski, Milija; Grasso, Lewis D.; Kummerow, Christian D.; Boukabara, Sid-Ahmed
    Publisher: American Meteorological Society
    Abstract: Satellite all-sky radiances from the Advanced Technology Microwave Sounder (ATMS) are assimilated into the Hurricane Weather Research and Forecasting (HWRF) Model using the hybrid Gridpoint Statistical Interpolation analysis ...
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    Lognormal and Mixed Gaussian–Lognormal Kalman Filters 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 003
    Author(s): Fletcher, Steven J.; Zupanski, Milija; Goodliff, Michael R.; Kliewer, Anton J.; Jones, Andrew S.; Forsythe, John M.; Wu, Ting-Chi; Hossen, Md. Jakir; Van Loon, Senne
    Publisher: American Meteorological Society
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    Lognormal and Mixed Gaussian–Lognormal Kalman Filters 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 003:;page 761
    Author(s): Fletcher, Steven J.; Zupanski, Milija; Goodliff, Michael R.; Kliewer, Anton J.; Jones, Andrew S.; Forsythe, John M.; Wu, Ting-Chi; Hossen, Md. Jakir; Van Loon, Senne
    Publisher: American Meteorological Society
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