The RAW Filter: An Improvement to the Robert–Asselin Filter in Semi-Implicit Integrations
نویسندگان
چکیده
منابع مشابه
The composite-tendency RAW filter in semi-implicit integrations
1 The time discretization in weather and climate models introduces truncation errors that limit 2 the accuracy of the simulations. Recent work has yielded a method for reducing the amplitude 3 errors in leapfrog integrations from first-order to fifth-order. This improvement is achieved by 4 replacing the Robert–Asselin filter with the RAW filter and using a linear combination of the 5 unfiltere...
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The leapfrog time-differencing scheme is widely used in numerical models of the atmosphere and ocean. Its accuracy can be improved by replacing the stabilizing Robert–Asselin filter with the Robert–Asselin–Williams (RAW) filter and also by using a composite tendency, which is constructed as a linear combination of the filtered and unfiltered tendencies. This paper conducts a detailed, rigorous ...
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Structural system identification using recursive methods has been a research direction of increasing interest in recent decades. The two prominent methods, including the Extended Kalman Filter (EKF) and the Particle Filter (PF), also known as the Sequential Monte Carlo (SMC), are advantageous in this field. In this study, the system identification of a shake table test of a 4-story steel struct...
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ژورنال
عنوان ژورنال: Monthly Weather Review
سال: 2011
ISSN: 0027-0644,1520-0493
DOI: 10.1175/2010mwr3601.1