Progress in using single precision in the IFS
Düben, Peter ; Diamantakis, Michail ; Lang, Simon ; Saarinen, Sami ; Sandu, Irina ; Wedi, Nils ; Wilhelmsson, Tomas
Année de publication
2018
Research carried out at the University of Oxford, Météo-France and ECMWF has shown that it is possible to significantly reduce the arithmetic precision of many of the calculations performed in numerical weather prediction models without compromising the quality of weather forecasts. 'Single precision' forecasts have the advantage of being computationally less expensive than traditional 'double precision' forecasts. Such efficiency savings will greatly facilitate the introduction of higher-resolution ensemble forecasts and other model improvements in line with ECMWF's Strategy to 2025.
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