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"Real time" forecasting, integration and dissemination #21
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Validate forecasts from the HRES data against ERA5 produced SIC predictions Comments relating to this task. The below discussion point from Tom provides a nice foundation to multi workflow testing in the pipeline, so quite useful So we get the two forecast datasets in that case. We also kind of have two ground truths - ERA5 SIC and RT SIC. So we could
From 2, we hope the perturbation is not too large. From 3, we hope the performance is very similar. If both those are true we know we are pretty safe running the model with RT data. But an additional control variable in this experiment is that we can train the model on RT data (as you're saying). So there's actually a third potential forecast dataset to analyse: RT-trained-and-initialised. So it would be interesting to repeat 2) and 3) but with the third forecast dataset. |
Ensure dataset differences don't result in land mask artifacts in SIC estimates One comment to factor into this: And on the normalisation/climatology stuff, I would expect the normalisation parameters to be pretty similar between ERA5 and RT data, so that shouldn't be a problem. I am slightly concerned about the climatology though, because slight differences in the land mask or something might lead to weird artefacts. It would be worth plotting and comparing the anomaly variables between ERA5 and RT. |
This issue is being extended / adapted to capture a whole set of developments relating to this activity
This issue will capture ongoing tasks following implementation to assess the predictive capability and additional developments that arise using forecast data over reanalysis data.
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