Alex Goodman created CLIMATE-117:
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Summary: updates to regridding
Key: CLIMATE-117
URL: https://issues.apache.org/jira/browse/CLIMATE-117
Project: Apache Open Climate Workbench
Issue Type: Improvement
Components: regridding
Affects Versions: 0.1-incubating
Reporter: Alex Goodman
Assignee: Chris A. Mattmann
Fix For: 0.1-incubating
Paul Loikith and I had a meeting this morning and we thought that our current
regridding function could use a few improvements. Right now it only supports
two interpolation schemes for uniformly spaced data: bilinear and cubic spline.
Ways to improve it are:
-Use mpl_toolkits.basemap.interp to do the actual interpolation instead of
using our own code. This keeps our own code cleaner and also adds support for
one other interpolation scheme (nearest neighbor)
-Add support for irregularly spaced grids. Thankfully this is also not too
difficult to do since both matplotlib and scipy have functions that do this
(scipy.interpolate.griddata and matplotlib.mlab.griddata).
-Seth McGinnis at NCAR suggests that more advanced interpolation schemes, such
as Kriging, are needed for certain cases. Something like this would likely have
to be coded from scratch since there are no well known python packages that
have this built-in.
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