منابع مشابه
Ensemble-Based Sensitivity Analysis
The sensitivity of forecasts to observations is evaluated using an ensemble approach with data drawn from a pseudo-operational ensemble Kalman filter. For Gaussian statistics and a forecast metric defined as a scalar function of the forecast variables, the effect of observations on the forecast metric is quantified by changes in the metric mean and variance. For a single observation, expression...
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An ensemble Kalman filter (EnKF) coupled to the Advanced Research version of the Weather Research and Forecasting (WRF) model is used to generate ensemble analyes and forecasts of a strong African Easterly Wave (AEW) during the African Monsoon Multidisciplinary Analysis field campaign. Ensemble sensitivity analysis is then used to evaluate the impact of initial condition errors on AEW amplitude...
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The study of many scientific and natural phenomena in laboratory condition is sometimes impossible, therefore theire expresed by mathemathical models and simulated by complex computer models (codes). Running a computer model with different inputs is called a computer expriment. Statistical issues allocated a wide range of applications for computer expriment to itself. In this paper, ...
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An ensemble Kalman filter (EnKF) based on the Weather Research and Forecasting (WRF) model is used to generate ensemble analyses and forecasts for the extratropical transition (ET) events associated with Typhoons Tokage (2004) and Nabi (2005). Ensemble sensitivity analysis is then used to evaluate the relationship between forecast errors and initial condition errors at the onset of transition, ...
متن کاملEnsemble Methods Based on Bias–variance Analysis Title: Ensemble Methods Based on Bias–variance Analysis
Ensembles of classifiers represent one of the main research directions in machine learning. Two main theories are invoked to explain the success of ensemble methods. The first one consider the ensembles in the framework of large margin classifiers, showing that ensembles enlarge the margins, enhancing the generalization capabilities of learning algorithms. The second is based on the classical b...
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ژورنال
عنوان ژورنال: Monthly Weather Review
سال: 2008
ISSN: 1520-0493,0027-0644
DOI: 10.1175/2007mwr2132.1