wradlib Documentation - Bitbucket

wradlib Documentation, Release 0.1.1
Raw unadjusted radar rainfall
targets : (INTERNAL) array of floats
Coordinate pairs for locations on which the final adjustment product is interpolated Defaults
to None. In this case, the output locations will be identical to the radar coordinates
rawatobs : (INTERNAL) array of floats
For internal use from AdjustBase.xvalidate only (defaults to None)
ix : (INTERNAL) array of integers
For internal use from AdjustBase.xvalidate only (defaults to None)
wradlib.adjust.AdjustMFB.xvalidate
AdjustMFB.xvalidate(obs, raw)
Leave-One-Out Cross Validation, applicable to all gage adjustment classes.
This method will be inherited to other Adjust classes. It should thus be applicable to all adjustment procedures
without any modification. This way, the actual adjustment procedure has only to be defined once in the __call__
method.
The output of this method can be evaluated by using the verify.ErrorMetrics class.
Parameters obs : array of floats
raw : array of floats
Returns obs : array of floats
valid observations at those locations which have a valid radar observation
estatobs : array of floats
estimated values at the valid observation locations
wradlib.adjust.AdjustMultiply
class wradlib.adjust.AdjustMultiply(obs_coords, raw_coords, nnear_raws=9, stat=’median’,
mingages=5, minval=0.0, Ipclass=, **ipargs)
Gage adjustment using a multiplicative error model
First, an instance of AdjustMultiply has to be created. Calling this instance then does the actual adjustment.
The motivation behind this performance. In case the observation points are always the same for different time
steps, the computation of neighbours and invserse distance weights only needs to be performed once during
initialisation.
AdjustMultiply automatically takes care of invalid gage or radar observations (e.g. NaN, Inf or other typical
missing data flags such as -9999. However, in case e.g. the observation data contain missing values, the computation
of the inverse distance weights needs to be repeated in __call__ which is at the expense of performance.
Parameters obs_coords : array of float
coordinate pairs of observations points
raw_coords : array of float
coordinate pairs of raw (unadjusted) field
nnear_raws : integer
3.13. Gage adjustment 69