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    Statistical Interpolation Using Cyclostationary EOFs 

    Source: Journal of Climate:;1997:;volume( 010 ):;issue: 011:;page 2931
    Author(s): Kim, Kwang-Y.
    Publisher: American Meteorological Society
    Abstract: Investigated here is the space?time estimation or statistical interpolation of a global variable based on a few observations. Estimation of a global data field is essentially a problem of optimally estimating spherical ...
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    Statistical Prediction of Cyclostationary Processes 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 006:;page 1098
    Author(s): Kim, Kwang-Y.
    Publisher: American Meteorological Society
    Abstract: Considered in this study is a cyclostationary generalization of an EOF-based prediction method. While linear statistical prediction methods are typically optimal in the sense that prediction error variance is minimal within ...
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    On the Evolution of the Annual Cycle in the Tropical Pacific 

    Source: Journal of Climate:;2001:;volume( 014 ):;issue: 005:;page 991
    Author(s): Kim, Kwang-Y.; Chung, Chul
    Publisher: American Meteorological Society
    Abstract: Extraction of the accurate annual cycle in the tropical Pacific sea surface temperature field is addressed as a demonstration of the utility of a new technique called the cyclostationary empirical orthogonal function (CSEOF) ...
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    Optimal Detection Using Cyclostationary EOFs 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 005:;page 938
    Author(s): Kim, Kwang-Y.; Wu, Qigang
    Publisher: American Meteorological Society
    Abstract: Many climatic and geophysical processes are cyclostationary and exhibit appreciable cyclic (monthly, daily, etc.) variation of their statistics in addition to interannual fluctuations. Utilization of this nested variation ...
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    A Comparison Study of EOF Techniques: Analysis of Nonstationary Data with Periodic Statistics 

    Source: Journal of Climate:;1999:;volume( 012 ):;issue: 001:;page 185
    Author(s): Kim, Kwang-Y.; Wu, Qigang
    Publisher: American Meteorological Society
    Abstract: Identification of independent physical/dynamical modes and corresponding principal component time series is an important aspect of climate studies for they serve as a tool for detecting and predicting climate changes. While ...
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    A Comparison Study of EOF Techniques: Analysis of Nonstationary Data with Periodic Statistics 

    Source: Journal of Climate:;1999:;volume( 012 ):;issue: 001:;page 185
    Author(s): Kim, Kwang-Y.; Wu, Qigang
    Publisher: American Meteorological Society
    Abstract: Identification of independent physical/dynamical modes and corresponding principal component time series is an important aspect of climate studies for they serve as a tool for detecting and predicting climate changes. While ...
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    Regional Simulations of Greenhouse Warming Including Natural Variability 

    Source: Bulletin of the American Meteorological Society:;1995:;volume( 076 ):;issue: 011:;page 2171
    Author(s): Kim, Kwang-Y.; North, Gerald R.
    Publisher: American Meteorological Society
    Abstract: The perception of the hypothesized greenhouse effect will differ dramatically depending upon the location on the earth at which the effect is analyzed. This is due mainly to two causes: 1) the warming signal depends upon ...
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    Detection of Forced Climate Signals. Part II: Simulation Results 

    Source: Journal of Climate:;1995:;volume( 008 ):;issue: 003:;page 409
    Author(s): North, Gerald R.; Kim, Kwang-Y.
    Publisher: American Meteorological Society
    Abstract: This paper considers some tests of the procedures suggested in Part I on the detection of forced climate signals embedded in natural variability. The optimal filters are constructed from simulations of signals and natural ...
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    EOF-Based Linear Prediction Algorithm: Theory 

    Source: Journal of Climate:;1998:;volume( 011 ):;issue: 011:;page 3046
    Author(s): Kim, Kwang-Y.; North, Gerald R.
    Publisher: American Meteorological Society
    Abstract: This study considers the theory of a general three-dimensional (space and time) statistical prediction/extrapolation algorithm. The predictor is in the form of a linear data filter. The prediction kernel is based on the ...
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    The Response Time of the Temperature of the Equatorial Troposphere to ENSO Heating 

    Source: Journal of the Atmospheric Sciences:;2005:;Volume( 062 ):;issue: 012:;page 4412
    Author(s): Clarke, Allan J.; Kim, Kwang-Y.
    Publisher: American Meteorological Society
    Abstract: Air temperature anomalies, averaged over the troposphere to 200 mb and around the earth from 10°S to 10°N, lag the similarly averaged El Niño?Southern Oscillation (ENSO) atmospheric latent heating anomalies by about one ...
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