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    Improving Particle Filter Performance by Smoothing Observations 

    Source: Monthly Weather Review:;2018:;volume 146:;issue 008:;page 2433
    Author(s): Robinson, Gregor; Grooms, Ian; Kleiber, William
    Publisher: American Meteorological Society
    Abstract: AbstractThis article shows that increasing the observation variance at small scales can reduce the ensemble size required to avoid collapse in particle filtering of spatially extended dynamics and improve the resulting ...
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    The Impact of Error Accounting in a Bayesian Approach to Calibrating Modeled Turbulent Fluxes in an Open-Canopy Forest 

    Source: Journal of Hydrometeorology:;2017:;Volume( 018 ):;issue: 007:;page 2029
    Author(s): Wong, Tony E.;Kleiber, William;Noone, David C.
    Publisher: American Meteorological Society
    Abstract: AbstractLand surface models are notorious for containing many parameters that control the exchange of heat and moisture between land and atmosphere. Properly modeling the partitioning of total evapotranspiration (ET) between ...
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    Locally Calibrated Probabilistic Temperature Forecasting Using Geostatistical Model Averaging and Local Bayesian Model Averaging 

    Source: Monthly Weather Review:;2011:;volume( 139 ):;issue: 008:;page 2630
    Author(s): Kleiber, William; Raftery, Adrian E.; Baars, Jeffrey; Gneiting, Tilmann; Mass, Clifford F.; Grimit, Eric
    Publisher: American Meteorological Society
    Abstract: he authors introduce two ways to produce locally calibrated grid-based probabilistic forecasts of temperature. Both start from the Global Bayesian model averaging (Global BMA) statistical postprocessing method, which has ...
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian