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    Neural Networks for Postprocessing Model Output: ARPS 

    Source: Monthly Weather Review:;2003:;volume( 131 ):;issue: 006:;page 1103
    Author(s): Marzban, Caren
    Publisher: American Meteorological Society
    Abstract: The temperature forecasts of the Advanced Regional Prediction System are postprocessed by a neural network. Specifically, 31 stations are considered, and for each a neural network is developed. The nine input variables to ...
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    The ROC Curve and the Area under It as Performance Measures 

    Source: Weather and Forecasting:;2004:;volume( 019 ):;issue: 006:;page 1106
    Author(s): Marzban, Caren
    Publisher: American Meteorological Society
    Abstract: The receiver operating characteristic (ROC) curve is a two-dimensional measure of classification performance. The area under the ROC curve (AUC) is a scalar measure gauging one facet of performance. In this short article, ...
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    Scalar Measures of Performance in Rare-Event Situations 

    Source: Weather and Forecasting:;1998:;volume( 013 ):;issue: 003:;page 753
    Author(s): Marzban, Caren
    Publisher: American Meteorological Society
    Abstract: A set of 14 scalar, nonprobabilistic measures?some old, some new?is examined in the rare-event situation. The set includes measures of accuracy, association, discrimination, bias, and skill. It is found that all measures ...
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    Bayesian Probability and Scalar Performance Measures in Gaussian Models 

    Source: Journal of Applied Meteorology:;1998:;volume( 037 ):;issue: 001:;page 72
    Author(s): Marzban, Caren
    Publisher: American Meteorological Society
    Abstract: The transformation of a real, continuous variable into an event probability is reviewed from the Bayesian point of view, after which a Gaussian model is employed to derive an explicit expression for the probability. In ...
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    Displaying Economic Value 

    Source: Weather and Forecasting:;2012:;volume( 027 ):;issue: 006:;page 1604
    Author(s): Marzban, Caren
    Publisher: American Meteorological Society
    Abstract: he distinction between forecast quality and economic value in a cost?loss formulation is well known. Also well known is their complex relationship, even with some instances of a reversal between the two, where higher quality ...
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    Variance-Based Sensitivity Analysis: An Illustration on the Lorenz'63 Model 

    Source: Monthly Weather Review:;2013:;volume( 141 ):;issue: 011:;page 4069
    Author(s): Marzban, Caren
    Publisher: American Meteorological Society
    Abstract: ensitivity analysis (SA) generally refers to an assessment of the sensitivity of the output(s) of some complex model with respect to changes in the input(s). Examples of inputs or outputs include initial state variables, ...
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    On the Uniqueness of Gandin and Murphy’s Equitable Performance Measures 

    Source: Monthly Weather Review:;1999:;volume( 127 ):;issue: 006:;page 1134
    Author(s): Marzban, Caren; Lakshmanan, V.
    Publisher: American Meteorological Society
    Abstract: Gandin and Murphy (GM) have shown that if a skill score is linear in the scoring matrix, and if the scoring matrix is symmetric, then in the two-event case there exists a unique, ?equitable? skill score, namely, the True ...
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    A Bayesian Neural Network for Severe-Hail Size Prediction 

    Source: Weather and Forecasting:;2001:;volume( 016 ):;issue: 005:;page 600
    Author(s): Marzban, Caren; Witt, Arthur
    Publisher: American Meteorological Society
    Abstract: The National Severe Storms Laboratory has developed algorithms that compute a number of Doppler radar and environmental attributes known to be relevant for the detection/prediction of severe hail. Based on these attributes, ...
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    Cluster Analysis for Verification of Precipitation Fields 

    Source: Weather and Forecasting:;2006:;volume( 021 ):;issue: 005:;page 824
    Author(s): Marzban, Caren; Sandgathe, Scott
    Publisher: American Meteorological Society
    Abstract: A statistical method referred to as cluster analysis is employed to identify features in forecast and observation fields. These features qualify as natural candidates for events or objects in terms of which verification ...
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    Verification with Variograms 

    Source: Weather and Forecasting:;2009:;volume( 024 ):;issue: 004:;page 1102
    Author(s): Marzban, Caren; Sandgathe, Scott
    Publisher: American Meteorological Society
    Abstract: The verification of a gridded forecast field, for example, one produced by numerical weather prediction (NWP) models, cannot be performed on a gridpoint-by-gridpoint basis; that type of approach would ignore the spatial ...
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