http://people.atmos.ucla.edu/alex/ROMS/ROMSArticle2005.pdf

The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model

A Description of the Fifth-Generation Penn State/ NCAR Mesoscale Model (MM5), NCAR/TN-398+STR

/pdf/a-description-of-the-fifth-generation-penn-state-ncar-4380gcr9if.pdf

A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5)

A Description of a Three-Dimensional Coastal Ocean Circulation Model

This comprehensive text and reference work on numerical weather prediction, first published in 2002, covers not only methods for numerical modeling, but also the important related areas of data assimilation and predictability. It incorporates all aspects of environmental computer modeling including an historical overview of the subject, equations of motion and their approximations, a modern and clear description of numerical methods, and the determination of initial conditions using weather observations (an important science known as data assimilation). Finally, this book provides a clear discussion of the problems of predictability and chaos in dynamical systems and how they can be applied to atmospheric and oceanic systems. Professors and students in meteorology, atmospheric science, oceanography, hydrology and environmental science will find much to interest them in this book, which can also form the basis of one or more graduate-level courses.

/pdf/atmospheric-modeling-data-assimilation-and-predictability-1qxqadvqdq.pdf

Atmospheric Modeling, Data Assimilation and Predictability

A simple filter for controlling high-frequency computational and physical modes arising in time integrations is proposed. A linear analysis of the filter with leapfrog, implicit, and semi-implicit, differences is made. The filter very quickly removes the computational mode and is also very useful in damping high-frequency physical waves. The stability of the leapfrog scheme is adversely affected when a large filter parameter is used, but the analysis shows that the use of centered differences with frequency filter is still more advantageous than the use of the Euler-backward method. An example of the use of the filter in an actual forecast with the meteorological equations is shown.

Richard Asselin

Papers

Frequency Filter for Time Integrations