nsrdb.utilities.interpolation

NSRDB interpolation algorithms for downscaling.

Created on Tue Dec 4 08:22:26 2018

@author: gbuster

Functions

agg(data, indices)	Spatal interpolation by aggregation of nearest neighbors.
idw(data, indices, distance[, p, dist_thresh])	Inverse Distance Weighted Spatial Interpolation.
lower_data(var, data, var_elev)	Lower Data Values using Elevation and Scale Height
nn(data, indices[, distance, dist_thresh])	Nearest Neighbor Spatial Interpolation.
parse_method(method)	Parse a method string for a numeric option as the last char.
raise_data(var, data, ref_elev)	Raise Data Values using Elevation and Scale Height
remove_tz(ti)	Remove the timezone awareness of a DatetimeIndex if the tz is "UTC"
spatial_interp(var, data, native_grid, ...)	Perform single variable spatial interpolation on MERRA data array.
temporal_lin(array, ti_native, ti_new)	Linearly interpolate an array at a native timeindex to the new timeindex
temporal_step(array, ti_native, ti_new)	Stepwise interpolate an array at a native timeindex to the new timeindex