Assimilation and Blending

 

The assimilation and blending project component aims at improving the robustness of the AQFx smoke forecasts. It will do this by :

1. initialising a new forecast from a blend of the prior-day AQFx forecast and a global assimilated chemical weather forecast. The improved smoke observation network will be used to spatially blend each data set, thus providing an optimal initial estimate of the smoke at the start of an AQFx forecast.
2. optimising dust and smoke emissions using ensemble Kalman filtering. 
3. providing near-real time observations for blending with forecasts for use in state control centres and for public smoke information apps.