Removal of Distortion Error from an Ensemble Forecast

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Digital Filtering of Background Error Covariance Estimates Generated by a Forecast Ensemble

We demonstrate the usefulness of a digital Gaussian filter to provide a distance-dependent reduction of background error covariance estimates generated from an ensemble of forecasts. These improved background error covariance estimates are used in a hybrid ensemble Kalman filter data assimilation scheme to generate a reduced-error ensemble of model initial conditions. The benefits of using the ...

متن کامل

An Ensemble Smoother with Error Estimates

A smoother introduced earlier by van Leeuwen and Evensen is applied to a problem in which real observations are used in an area with strongly nonlinear dynamics. The derivation is new, but it resembles an earlier derivation by van Leeuwen and Evensen. Again a Bayesian view is taken in which the prior probability density of the model and the probability density of the observations are combined t...

متن کامل

Blind removal of lens distortion.

Virtually all imaging devices introduce some amount of geometric lens distortion. A technique is presented for blindly removing these distortions in the absence of any calibration information or explicit knowledge of the imaging device. The basic approach exploits the fact that lens distortion introduces specific higher-order correlations in the frequency domain. These correlations can be detec...

متن کامل

Forecast Based on an Empirical Probability Function with an Adjusted Error Using Propagation of Error

This paper addresses a cutting edge method of business demand forecasting, based on an empirical probability function when the historical behavior of the data is random. Additionally, it presents error determination based on the numerical method technique ‘propagation of errors.’ The methodology was conducted characterization and process diagnostics demand planning as part of the production man...

متن کامل

A General Forecast-error Taxonomy

We consider the sources of forecast errors and their consequences in an evolving economy subject to structural breaks,forecasting from mis-specified, data-based models. A model-free taxonomy of forecast errors highlights that deterministic shifts are a major cause of systematic forecast failure. Other sources seem to pose fewer problems. The taxonomy embeds several previous model-based taxonomi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Monthly Weather Review

سال: 2000

ISSN: 0027-0644,1520-0493

DOI: 10.1175/1520-0493(2000)128<3347:rodefa>2.0.co;2