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    Multiconvective Parameterizations as a Multimodel Proxy for Seasonal Climate Studies 

    Source: Journal of Climate:;2005:;volume( 018 ):;issue: 015:;page 2963
    Author(s): LaRow, T. E.; Cocke, S. D.; Shin, D. W.
    Publisher: American Meteorological Society
    Abstract: A six-member multicoupled model ensemble is created by using six state-of-the-art deep atmospheric convective schemes. The six convective schemes are used inside a single model and make up the ensemble. This six-member ...
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    The Role of an Advanced Land Model in Seasonal Dynamical Downscaling for Crop Model Application 

    Source: Journal of Applied Meteorology and Climatology:;2006:;volume( 045 ):;issue: 005:;page 686
    Author(s): Shin, D. W.; Bellow, J. G.; LaRow, T. E.; Cocke, S.; O'Brien, James J.
    Publisher: American Meteorological Society
    Abstract: An advanced land model [the National Center for Atmospheric Research (NCAR) Community Land Model, version 2 (CLM2)] is coupled to the Florida State University (FSU) regional spectral model to improve seasonal surface climate ...
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    Atlantic Basin Seasonal Hurricane Simulations 

    Source: Journal of Climate:;2008:;volume( 021 ):;issue: 013:;page 3191
    Author(s): LaRow, T. E.; Lim, Y-K.; Shin, D. W.; Chassignet, E. P.; Cocke, S.
    Publisher: American Meteorological Society
    Abstract: An ensemble of seasonal Atlantic hurricane simulations is conducted using The Florida State University/Center for Ocean?Atmospheric Prediction Studies (FSU?COAPS) global spectral model (Cocke and LaRow) at a resolution of ...
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    Seasonal Surface Air Temperature and Precipitation in the FSU Climate Model Coupled to the CLM2 

    Source: Journal of Climate:;2005:;volume( 018 ):;issue: 016:;page 3217
    Author(s): Shin, D. W.; Cocke, S.; LaRow, T. E.; O’Brien, James J.
    Publisher: American Meteorological Society
    Abstract: The current Florida State University (FSU) climate model is upgraded by coupling the National Center for Atmospheric Research (NCAR) Community Land Model Version 2 (CLM2) as its land component in order to make a better ...
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    Improving Tropical Precipitation Forecasts from a Multianalysis Superensemble 

    Source: Journal of Climate:;2000:;volume( 013 ):;issue: 023:;page 4217
    Author(s): Krishnamurti, T. N.; Kishtawal, C. M.; Shin, D. W.; Williford, C. Eric
    Publisher: American Meteorological Society
    Abstract: This paper utilizes forecasts from a multianalysis system to construct a superensemble of precipitation forecasts. This method partitions the computations into two time lines. The first of those is a control (or a training) ...
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    Assessing Maize and Peanut Yield Simulations with Various Seasonal Climate Data in the Southeastern United States 

    Source: Journal of Applied Meteorology and Climatology:;2009:;volume( 049 ):;issue: 004:;page 592
    Author(s): Shin, D. W.; Baigorria, G. A.; Lim, Y-K.; Cocke, S.; LaRow, T. E.; O’Brien, James J.; Jones, James W.
    Publisher: American Meteorological Society
    Abstract: A comprehensive evaluation of crop yield simulations with various seasonal climate data is performed to improve the current practice of crop yield projections. The El Niño?Southern Oscillation (ENSO)-based historical data ...
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    Real-Time Multianalysis–Multimodel Superensemble Forecasts of Precipitation Using TRMM and SSM/I Products 

    Source: Monthly Weather Review:;2001:;volume( 129 ):;issue: 012:;page 2861
    Author(s): Krishnamurti, T. N.; Surendran, Sajani; Shin, D. W.; Correa-Torres, Ricardo J.; Vijaya Kumar, T. S. V.; Williford, Eric; Kummerow, Chris; Adler, Robert F.; Simpson, Joanne; Kakar, Ramesh; Olson, William S.; Turk, F. Joseph
    Publisher: American Meteorological Society
    Abstract: This paper addresses real-time precipitation forecasts from a multianalysis?multimodel superensemble. The methodology for the construction of the superensemble forecasts follows previous recent publications on this topic. ...
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