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Data Assimilation in Python for teaching purposes
This is probably not needed:
dass/notebooks/EnKF_2D_Heat_Equation.py
Line 118 in 2e51eed
In addition to mean-field plots, it's useful to compare plots of std dev of prior and posterior.
This can be used to see which parts of the field were updated the most.
It's hard to see that the variance is reduced after each iteration
Won't cover distance based localization, just adaptive localization.
Don't want to maintaing geostat.py
.
Would be nice not having to specify dt
.
http://people.eecs.berkeley.edu/~demmel/cs267/lecture17/lecture17.html
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