Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

ase

Table of Contents

Horizontal resolution

A dual representation of spectral components and grid points is used.  All fields are described in grid point space.  The grid is not completely uniform due to the convergence of the meridians towards the poles, and a Reduced Gaussian Octahedral Grid (Fig2.1.3) is used.  This means the separation between grid points is kept almost constant by gradually decreasing the number of grid points towards the poles at all extratropical latitudes.  In effect, within each quadrant, two grid boxes (triangles) are removed as one steps away from the equator to the next latitude row.  This equates to a reduction of one grid point per quadrant per latitude row (Fig2.1.3).  This grid point configuration results in a saving in computational time.

Many prognostic variables are evaluated and calculated on the grid.  However, a subset of prognostic variables (surface pressure, temperature, winds and moisture) are calculated using a spectral representation.  This is for the convenience of computing horizontal derivatives and to assist effectiveness in the time-stepping scheme.  Cloud variables are not transformed into spectral space.

The HRES* IFS model IFS medium range ensemble (ENS) uses a Gaussian grid (O1280) which has 1280 latitude lines between pole and equator with the number of grid points on each latitude line rising from 20 near the poles to 5136 near the equator giving a resolution of about 9km.

The medium range ENS IFS model uses a Gaussian grid (O1280) which has 1280 latitude lines between pole and equator with the number of grid points on each latitude line rising from 20 near the poles to 5136 near the equator giving a resolution of about 9km.

 Both the 10 day and 15 day ensembles use this grid. 

The IFS extended range ensemble (ENS) The extended range ENS IFS model uses a Gaussian grid (O320) which has 320 latitude lines between pole and equator with the number of grid points on each latitude line rising from 20 near the poles to 1296 near the equator giving a resolution of about 36km.

The Seasonal SEAS5 IFS model IFS seasonal ensemble (SEAS5) uses a Gaussian grid (O320) which has 320 latitude lines between pole and equator with the number of grid points on each latitude line rising from 20 near the poles to 1296 near the equator giving a resolution of about 36km.


Vertical resolution

The vertical resolution varies with geometric height.  The vertical resolution is greatest (most fine) in the planetary boundary layer while more coarse near the model top.  The “σ-levels” follow the earth’s surface in the lower layers of the troposphere, where the Earth’s orography has large variations, but in the upper stratosphere and lower mesosphere they are surfaces of constant pressure.  There is a smooth transition from “σ-levels” to pressure levels between lower and upper levels.

  • The

...

...

  •  models have 137 levels in the vertical; the four lowest levels are at 10m, 31m, 54m, 79m

...

  • above the model surface.
  • The IFS Seasonal model has 91 levels in the vertical; the four lowest levels are at 10m, 34m ,68m, 112m above the model surface.

The heights approximate to .  These are approximate geopotential heights, but are referenced to the surface pressure (not MSLmean sea level).  For correct geopotential height ( with respect to MSL) mean sea level the height of the orography must be added.

...

Fig2.1.4A: The 137 level configuration used in HRES*, ENS , and Extended Range configurations of the IFS.   Sigma levels are terrain-following at lower levels and become constant pressure levels for the upper troposphere and above.

...

Fig2.1.4B: The 91 level configuration used in the Seasonal configuration of the IFS.   Sigma levels are terrain-following at lower levels and become constant pressure levels for the upper troposphere and above.

...