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Horizontal resolution upgradeThe horizontal resolution upgrade is being developed with a trade-off in mind between resolution and computational costs. A number of options of how to produce the most effective combination of horizontal resolutions between 4D-Var, EDA, HRES and ENS have been tested to establish computing costs and to derive possible efficiency gains. A viable choice was found to employ the so-called cubic Gaussian grid (TC) instead of the current linear Gaussian grid (TL) where the shortest wave is represented by four rather than two grid points. By keeping the spectral truncation the same, more resolution is added in grid-point space to more accurately represent diabatic forcings and advection, which is then controlled through truncation in spectral space. In the current operational configuration the erroneous build-up of energy at the shortest scales is filtered by a lower-than-nominal resolution of the orography, strong horizontal diffusion and a de-aliasing filter. In the future this filtering will be able to be much reduced. The TC option also substantially improves mass conservation. In order to reduce the computational cost further, a grid modification has been investigated, the cubic, spectral octahedral grid (TCO). The octahedral grid applies a new rule for computing the number of points per latitude circle. It is based on a new mesh that also allows for future implementations of a hybrid spectral – grid point model. The computational cost is reduced by about 25% compared to the cubic grid as fewer grid point calculations are needed and this new grid will also be implemented in the coming high resolution model cycle. In summary, the anticipated upgrade will have a horizontal resolution that translates to about 9 km in the outer loop of 4D-Var as well as the high-resolution forecast and to about 16 km for the ensemble up to day 10. |
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Proposed resolution changesAtmospheric model
Wave model
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Some backgroundSpectral representation of the IFSThe IFS uses a spectral transform method to solve numerically the equations governing the spatial and temporal evolution of the atmosphere. The idea is to fit a discrete representation of a field on a grid by a continuous function. This is achieved by expressing the function as a truncated series of spherical harmonics:
where μ = sinθ with λ the longitude and θ the latitude of the grid point, T is the spectral truncation number and Ylm are the spherical harmonic functions. The spectral coefficients ψlm are computed from the discrete values known at each point of a Gaussian grid on the sphere by
At each time step in the IFS:
The representation in grid point space is on the Gaussian grid. The grid point resolution is determined by the spectral truncation number, T. |
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