The numerical weather prediction (NWP) process involves assimilation of observations to provide the starting conditions for a numerical weather forecast model.
The model is essentially a computer simulation of the processes in the Earth's atmosphere, land surface and oceans which affect the weather. Once current weather conditions are known, the changes in the weather are predicted by the model.
The flagship numerical model developed and used at the Met Office is called the Unified Model (UM), as, unlike most other NWP centres, different configurations of the same model are used for both weather and climate prediction.
Running a numerical weather prediction model is only part of the process in producing a weather forecast. Before a forecast is issued, the output from the model is studied by a forecaster. This human-machine partnership is very important in producing accurate weather forecasts.
Hours ahead the forecaster is able to compare a model field against actual observations. This means they can:
Days and weeks ahead the forecaster is able to compare the results from our model with those from other centres such as ECMWF, NCEP and Deutscher Wetterdienst (DWD).
If all models are producing approximately the same solution confidence in the forecast would be high. Confidence is also decided by the consistency between model runs. If the model is consistent then confidence may be high but if it suddenly changes then confidence falls rapidly. In these situations the solutions of other models may be crucial. Sometimes, alternative forecasts may be issued with probabilities assigned.