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Pull in recent observations to model
We could try pulling in new observations when running the model, somewhat faster data assimilation essentially. Could use something like https://github.com/blaylockbk/SynopticPy
Detailed Description
Context
If we can have a model that can create fast forecasts, including observations could mean better forecasts, similar to how we can do that for PV forecasting by using live readings from PV data.
Possible Implementation
One method could be to use https://github.com/tom-andersson/deepsensor for creating grids from the observations to take as inputs.