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    Forecast Sensitivity Observation Impact in the 4DVAR and Hybrid-4DVAR Data Assimilation Systems 

    Source: Journal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 008:;page 1563
    Author(s): Kim, Sung-Min; Kim, Hyun Mee
    Publisher: American Meteorological Society
    Abstract: AbstractIn this study, the observation impacts on 24-h forecast error reduction (FER), based on the adjoint method in the four-dimensional variational (4DVAR) data assimilation (DA) and hybrid-4DVAR DA systems coupled with ...
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    Motion Artifact Reduction Algorithm in Wearable Healthcare System1 

    Source: Journal of Medical Devices:;2016:;volume( 010 ):;issue: 002:;page 20936
    Author(s): Lee, Seung Chul; Kim, Sung Min
    Publisher: The American Society of Mechanical Engineers (ASME)
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    Real-Time Adaptive Observation Guidance Using Singular Vectors for Typhoon Jangmi (200815) in T-PARC 2008 

    Source: Weather and Forecasting:;2011:;volume( 026 ):;issue: 005:;page 634
    Author(s): Kim, Hyun Mee; Kim, Sung-Min; Jung, Byoung-Joo
    Publisher: American Meteorological Society
    Abstract: n this study, structures of real-time adaptive observation guidance provided by Yonsei University (YSU) in South Korea during The Observing System Research and Predictability Experiment (THORPEX)-Pacific Asian Regional ...
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    Effect of Enhanced Satellite-Derived Atmospheric Motion Vectors on Numerical Weather Prediction in East Asia Using an Adjoint-Based Observation Impact Method 

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 002:;page 579
    Author(s): Kim, Myunghwan; Kim, Hyun Mee; Kim, JinWoong; Kim, Sung-Min; Velden, Christopher; Hoover, Brett
    Publisher: American Meteorological Society
    Abstract: hen producing forecasts by integrating a numerical weather prediction model from an analysis, not all observations assimilated into the analysis improve the forecast. Therefore, the impact of particular observations on the ...
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    DSpace software copyright © 2002-2015  DuraSpace
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