Add interpolation routine to make Var.resampled_as faster#183
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Could you also move all the linear interpolation into its own module, so that it will be easier in the future to switch it to something else?
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This commit adds an interpolation routine for use in ClimaAnalysis, which seeks to replace Interpolations.jl in Var.jl. The interpolation routine supports N-dimensional linear interpolation on a grid with throw, flat, or periodic boundary conditions. Compared against Interpolations.jl, the interpolation routine does not make a struct and does not allocate anything on the heap when interpolating a point.
This commit removes Interpolations.jl from Var.jl. To do this, the function `_make_interpolant` was removed. Three new functions are added which are `_check_interpolant`, `interpolate_point`, and `interpolate_points`, where the latter two functions replace the functionality of `_make_interpolant`. Furthermore, the function `_find_extp_bound_cond` was refactored to `_find_extp_bound_conds` which find multiple extrapolation condtions using `_find_extp_bound_cond` which is refactored to find the extrapolation condition for a single point. All functions that use an interpolant are updated to use the new interpolation routine. The test for computing the bias in Atmos changes to check approximately close to 0.0, due to floating point errors. The tests that check for errors when interpolating out of bounds now check for ErrorException instead of BoundsError.
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closes #182 - This commit adds an interpolation routine that makes
resampled_asand any other functions that use interpolations faster.Checklist
OutputVars (see issue on ClimaCoupler)Benchmarks from
@timeThe image below is from the current postprocessing pipeline using the latest commit on main.
The image below is from the current postprocessing pipeline using this PR.
