Adeline Hillier
Adeline Hillier
I'm baffled by the compilation errors here.
I just realized that `EnsembleKalmanProcesses.jl` can't take non-`Matrix` types for the covariance matrix, so I'm also leaning towards 3.
Sounds fine to me! Though can't we easily compute the buoyancy flux from the temp flux? Also, buoyancy values are a bit less interpretable and the OceanTurb.jl simulations are set...
That sounds like a good idea. "field_time_serieses" is a lot to type.
Yes, good ideas! I think the existing `UnscentedKalmanInversionPostprocess` can be absorbed into `IterationSummary`. The arrays returned by `UnscentedKalmanInversionPostprocess` are ```Julia `mean :: Matrix{Float64}`: `N_iter` × `N_θ` mean matrix `cov ::...
Brilliant. Just brilliant.
Then in the scripts "`observations`" could refer to a single instance of `SyntheticObservations`, a vector of `SyntheticObservations` or an instance of `BatchedObservations`. Do you think this would create confusion?