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At some point we should think more deeply about how to set the observation noise variance. Currently observation_map_variance_across_time is being used even when very few time steps are being saved. In such cases, a scaled identity matrix is a decent option. Otherwise, we might try coming up with a more scientific uncertainty estimate, e.g. derived by perturbing the IC or BCs.
The text was updated successfully, but these errors were encountered:
At some point we should think more deeply about how to set the observation noise variance. Currently
observation_map_variance_across_time
is being used even when very few time steps are being saved. In such cases, a scaled identity matrix is a decent option. Otherwise, we might try coming up with a more scientific uncertainty estimate, e.g. derived by perturbing the IC or BCs.The text was updated successfully, but these errors were encountered: