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    A Postprocessing Method for Seasonal Forecasts Using Temporally and Spatially Smoothed Statistics 

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 009:;page 3545
    Author(s): Kharin, V. V.;Merryfield, W. J.;Boer, G. J.;Lee, W.-S.
    Publisher: American Meteorological Society
    Abstract: AbstractA statistical postprocessing method for seasonal forecasts based on temporally and spatially smoothed climate statistics is introduced. The method uses information available from seasonal hindcasts initialized at ...
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    The Second Phase of the Global Land–Atmosphere Coupling Experiment: Soil Moisture Contributions to Subseasonal Forecast Skill 

    Source: Journal of Hydrometeorology:;2011:;Volume( 012 ):;issue: 005:;page 805
    Author(s): Koster, R. D.; Mahanama, S. P. P.; Yamada, T. J.; Balsamo, Gianpaolo; Berg, A. A.; Boisserie, M.; Dirmeyer, P. A.; Doblas-Reyes, F. J.; Drewitt, G.; Gordon, C. T.; Guo, Z.; Jeong, J.-H.; Lee, W.-S.; Li, Z.; Luo, L.; Malyshev, S.; Merryfield, W. J.; Seneviratne, S. I.; Stanelle, T.; van den Hurk, B. J. J. M.; Vitart, F.; Wood, E. F.
    Publisher: American Meteorological Society
    Abstract: he second phase of the Global Land?Atmosphere Coupling Experiment (GLACE-2) is a multi-institutional numerical modeling experiment focused on quantifying, for boreal summer, the subseasonal (out to two months) forecast ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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