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FIX: adding dr to argument list of kdp_from_phidp.
wradlib/wradlib mit default zusammengeführt
ENH: Added fourth experimental Kdp retrieval based on convolution filter suggested by Kai Mühlbauer.
The function is named kdp_from_phidp4. It also takes care of remaining NaN values. If phidp does not contain NaNs, only the convolution filter is applied.
FIX: Fixing bug in handling the end of the beam in kdp_from_phidp2.
Also inserted the explicit handling of start and end of the beam to kdp_from_phidp3.
FIX: Accounting for forward/backward propagation effects in kdp_from_phidp2 and kdp_from_phidp3.
ENH: New experimental Kdp retrieval function kdp_from_phidp3.
This function should be robust AND fast. For contiguous valid regions, it applies a sobel filter, for remaining NaN regions with valid neighbours it performs a local linear regression.
Beyond, all the kdp_from_phidp functions now have an argument dr which specifies the...
MIN: kdp_from_phidp2 now explicitely handles the start and the end of each beam.
For the start and the end of the beam, we do not use a "central window" around a gate, but we use a forward window for the first L/2 gates and a backward window for the last L/2 gates.
ENH: Adding new experimental function for Kdp retrieval (kdp_from_phidp2).
This function uses a moving window linear regression and should also work for data with gaps. STATUS is experimental.
FIX: Adapting VPR functions to new z-y-x order of 3-D arrays
Added correctAttenuationConstrained2 as an attenuation correction very close to Kraemer algorithm.
ENH: Added percent bias (pbias) as verificaiton measure to ErrorMetrics.
MIN: Provides the option to pass parameters accepted by the functions to process_raw_phidp.
This change was necessary so the user is not forced to use the default parameters of all the functions that are used in the convenience funciton process_raw_phidp.
MIN: Changing the default value of the margin argument of fill_phidp to 3.
MIN: Added the requirement to MFB that there should be at least "mingage" number of valid raw and obs pairs.
Also added a try/except statement to the linear regression in case line fitting fails.
DOC: Exposing the class adjust.GageOnly in the documentation.
ENH: Making Mean Field Bias Adjustment (MFB) more robust by using linear regression.
If biasby argument to MFB.__call__ was "mean", the bias was computed by simply computing the mean of the ratios between obs and est. Now a new argument value is introduced which is "linregr" (now the default value). In that case, the bias is...
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