23rd Conference on Weather Analysis and Forecasting/19th Conference on Numerical Weather Prediction


The nonhydrostatic icosahedral model (NIM)

Jin Lee, NOAA/ESRL, Boulder, CO; and A. E. MacDonald

Earth System Research Laboratory (ESRL) is developing a new global finite-volume Nonhydrostatic Icosahedral Model, named the NIM, for earth system modeling, and weather and climate prediction. The model uses innovations in model formulation similar to those of the hydrostatic Flow-following Icosahedral Model (FIM) developed by ESRL and now being tested for future use by the National Weather Service as part of their operational global prediction ensemble. Innovations from the FIM used in the NIM include:

* A local coordinate system remapped to a plane for each grid point,

* Grid points in a linear horizontal loop that allow any horizontal point sequence,

* Flux Corrected Transport formulated based on the high-order (3rd Order) Adams-Bashforth scheme to maintain conservative positive definite transport,

* All differentials evaluated as line integrals around the cells,

* Strict conservation of passive tracers to the round-off limit, and

* Computational design to allow for scalability to hundreds of thousands of processors.

The FIM and NIM models use finite-volume techniques pioneered by S. J. Lin of GFDL.

The two dimensional horizontal operators in FIM will be extended into three dimensional finite-volume solvers in NIM. Numerical design goals of the NIM include the development of Piecewise Parabolic third order differencing and Vandermonde polynomials allowing high order approximations of local variables in the three dimensional space, and a fast vertical solver solved with Graphical Processor Unit (GPU). NIM will have the capability to run globally at kilometer scale resolution,

which would allow convective macro-phenomena like the Madden-Julien Oscillation to be explicitly predicted.

wrf recording  Recorded presentation

Session 19A, Modeling Part II
Friday, 5 June 2009, 10:30 AM-12:00 PM, Grand Ballroom East

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