FIM basics Rainer Bleck, Shan Sun, Tanya Smirnova (and a host of other contributors too numerous to mention) NOAA Earth System Research Laboratory, Boulder,

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Presentation transcript:

FIM basics Rainer Bleck, Shan Sun, Tanya Smirnova (and a host of other contributors too numerous to mention) NOAA Earth System Research Laboratory, Boulder, Colorado July 2012

short for FFFVIM Flow-following Finite-volume Icosahedral

Overriding goal: add genetic diversity to atmo and oceanic dycores Unique combination of two (not quite so unique) grid types: – Icosahedral horizontal grid – Adaptive (terrain-following/isentropic) vertical grid Tradeoffs: – Some drawbacks in traditional grids are avoided – must learn to cope with a few new problems

FIM grid layout (G5 resolution)

Perfectly shaped hexagons on the icosahedron

Horizontal grid: Pros and Cons Pros: – No pole problems – Fairly uniform mesh size & cell shape on sphere Cons: – Indirect addressing (an efficiency issue) – Wavenumber 5 zonal grid irregularity – Line-integral based discretizations hard to manipulate Minor annoyances: – Model diagnostics, graphics display more complex

Adaptive vertical grid (primarily isentropic) Coordinate surfaces and isotachs: solid. Pot.temperature: color

9 FIM hybrid-isentropic vertical coordinate

How we maintain the vertical grid: Continuity Equation in generalized ( “ s ” ) coordinates (zero in fixed grids) (zero in material coord.) (known)

Vertical grid: Pros and Cons Pros (in  domain): – Numerical dispersion acts along isentropes – Optimal resolution of fronts and associated shear zones Cons (in  domain): – Poor resolution in unstratified columns Positive side effect of hybrid design: – Weak stratification due to surface heating leads to deep sigma domain (=> more uniform grid spacing at low latitudes)

FIM Hydrostatic; primitive eqns (solved explicitly) Arakawa A-grid (i.e. no staggering) 3-level Adams-Bashforth time differencing Finite-volume discretization; no explicit mixing terms required to suppress grid-scale noise Variable vertical grid spacing requires transport eqns in flux form for conservation – Use FCT for pos-definiteness, monotonicity Divergence, vorticity, gradients expressed as line integrals along grid cell perimeter GFS column physics Horiz/vert. resolution specified at runtime – highest resolution regularly used: ~15km (2.6M cells)

See for FIM documentation, skill scores, and twice-daily 10-day forecasts based on GFS initial conditions