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what are the dimensions of these variables. I'd assume that you want to calculate the change in SOC from 'initial' SOC for each parameter set (e.g., both data are dimensioned lat x lon x ensemble member)
Implementing the proposal distribution walk with a random normal distribution walk rate could be an interesting way to balance confinement of the distribution while still partially allowing for larger parameter space jumps.
To do this, the proposal distributions code could moved form the bottom to the front of the loop. The initial priors could also be changed to s single value, rather than min and max. Move everything to be distribution based.
This would also aid changing the distribution type between r-norm and uniform.
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