Digital Filter Initialization for MM5

Digital Filter Initialization

Adaptive Optimum Notch Filter for Periodic Noise Reduction in Digital Images

Periodic noises are unwished and spurious signals that create repetitive pattern on images and decreased the visual quality. Firstly, this paper investigates various methods for reducing the effects of the periodic noise in digital images. Then an adaptive optimum notch filter is proposed. In the proposed method, the regions of noise frequencies are determined by analyzing the spectral of noisy...

post processing of mm5 forecasts for minimum and maximum temperature using a kalman filter

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On Gain Initialization and Optimization of Reduced-Order Adaptive Filter

Despite all the progress in filtering algorithms for state estimation in very high dimensional systems, the technology is delicate and sometimes difficult to apply. Good initialization of filter gain, appropriate choice of tuning parameters and their optimization are the key factors to achieve robust high-performance filtering algorithms. In this paper the authors propose a method for properly ...

A a Quantification of the Effects of Data Denial and Limitation in Mm5 Initialization on Forecast Accuracy Thesis

Using the 3-Dimensional Variational Analysis data assimilation scheme and the Pennsylvania State University (PSU)/National Center for Atmospheric Research (NCAR) Mesoscale Model 5 (MM5) as configured and run operationally by the Air Force Weather Agency (AFWA) in the European theater, input observations were denied in three different categories: total, upper air, and surface observation denial....