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Relationship between spectral and grid resolution

IFS is a model of two resolutions: the spectral resolution determining the number of retained waves and the corresponding grid onto which these waves can be transformed. A greater spectral resolution can improve the forecast quality whilst reduced Gaussian grid resolutions can improve the efficiency of the model. However, aliassing of the quadratic (and cubic) terms in the model equations can result from using linear grids, which needs to be compensated for in the model formulation. A cubic grid removes aliassing and the need for additional filters.

Model timestep

The timestep depends on the horizontal resolution and the choice of the grid. ECMWF typically use a long a timestep as possible for efficiency reasons. However, there are times when this may result in some of the semi-Lagrangian trajectories going underground (messages can be seen in the model logfile), though generally this is not a problem.

Recommended maximum timesteps are given in the table below. Shorter timesteps can be used, though note that the model will not produce the exact same result between two forecasts with different timesteps.

Supported spectral and horizontal grid resolutions

The table below summarizes the supported configurations of the IFS and the relationship between spectral truncation, gridpoint resolution and the recommended timestep for optimum performance.

TruncationGridGrid
type*
Spacing at EquatorRecommended
timestep (min)

Application

Tl1279N640l_216km / 0.1406o10Operational forecast resolution (40r1)

Tl1023

N512l_220km / 0.1758o10-
Tl799N400l_225km / 0.225o12-
Tl639N320l_231km / 0.28125o15ERA-5 high resolution
Tl511N256l_239km / 0.352o15-
Tl399N200l_250km / 0.45o20Operational ensemble resolution (40r1)
Tl319N160l_263km / 0.5625o20ERA-5 ensemble
Tl255N128l_278km / 0.703o45ERA-Interim
Tq213N160_263km / 0.5625o20-
Tl159N80l_2125km / 1.125o60ERA-40
Tq106N80_2125km / 1.125o60-
Tl95N48l_2209km / 1.875o60-
Tq63N48_2209km / 1.875o60-
Tq42N32_full310km / 2.813o30Development/testing only
Tq21N16_full626km / 5.625o30Development/testing only

* Grid type refers to the file suffix used in the filenames of the OpenIFS/IFS climatology files.

Info
  • T21 and T42 use the Eulerian dynamical core and a regular Gaussian grid.
  • T63 and above use the reduced Gaussian grid types.
  • Tco denotes cubic octahedral grid, Tl denotes a linear grid, Tq denotes a quadratic grid.

Note that a linear grid allows a higher spectral truncation for the same number of gridpoints as a quadratic grid. Linear and quadratic in this sense means enough gridpoints are available to compute the linear and quadratic terms in the equations respectively. Likewise a cubic grid has more gridpoints per spectral wavenumber.


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this table is taken from the draft OpenIFS 40r1 paper.


% this should match the resolutions of the climate data provided by OpenIFS.
% see  bin/gaussgr for further definitions of the grids.

% for resolution information, look at prepIFS defaults in:
% ~rdx/prepIFS.defaults/current/40r1/setup_fc/resolution
% gives (ignoring some resolutions, only including those for which we have climate files):
%  T21,  _full, Eulerian dyn., 1800sec, 32x64
%  T42,  _full, Eul          , 1800sec, 64x128
%  T63,  _2   , Semi Lagr.   , 3600   , 96x192
%  T95,  l_2  , SL           , 3600   , 96x192
%  T106, _2   , SL?          , 3600   , 160x320 (LSLAG not set by 106.setup.save?)
%  T159, l_2  , SL           , 3600   , 160x320
%  T213, _2   , SL           , 1200   , 320x640
%  T255, l_2  , SL           , 2700   , 256x512
%  T319, l_2  , SL           , 1200   , 320x640
%  T399, l_2  , SL           , 1200   , 400x800
%  T511, l_2  , SL           , 900    , 512x1024
%  T639, l_2  , SL           , 900    , 640x1280
%  T799, l_2  , SL           , 720    , 800x1600
%  T1023, l_2 , SL           , 600    , 1024x2048
%  T1279, l_2 , SL           , 600    , 1280x2560
%
% _full, etc refer to the suffix on the model climate files, where _full mean regular (quadratic) Gaussian grid
% _2 means reduced regular grid, l_2 means reduced linear grid.



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