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In the past ive simply written my own preprocessor to handle interpolating from ppoints to linear features; then just parameterize the ppoint file that is used as input to the "linear interpolator". re boundary conditions - usualy just go grid type pars...but i have not had a case where that became too hectic to handle. |
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Currently, adding pilot point parameters is only possible for array files and not for list input files.
So far, I’ve added e.g. GHB/RIV conductance parameters using grid parameters because it’s fast, but I’m thinking this may not be the optimal approach, both due to the large number of parameters and the way parameter values are interpolated to the cells.
To be more efficient with the number of parameters, I was wondering if there is a way to add pilot points along linear features similar to how it can be done using PLPROC/SEGLISTS, including linear interpolation?
I’d be interested to hear how others are dealing with this. Is there a “Pythonic” way to handle this outside of PyEMU, is this a non-issue, or could this potentially become a feature in a future version of PyEMU?
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