Dear Sylvain,
thanks for bringing this to attention.
I'd need to hand that question over to Maik Heistermann. He
added/changed that "rho2" back in the days:
https://github.com/wradlib/wradlib/commit/163c3e272b6f5484e640673a1c00072b680445ae
It looks like incorporating RHOHV directly is an enhancement to the
Vulpiani algorithm. I'd guess it should discard high RHOHV values from
clutter, but I agree that the current default seems far to strict.
If you are not happy with the current setup, you might just override
that trapezoid functions with your own (via "trpz" kwarg) or set the
weight to zero (via "weights" kwarg).
Do you think an update of the docstring would help users?
Best,
Kai
Am 11.05.22 um 10:22 schrieb Sylvain Watelet:
> Dear wradlib users,
>
> Looking at this function
>
https://docs.wradlib.org/en/stable/generated/wradlib.clutter.classify_echo_fuzzy.html
> <
https://docs.wradlib.org/en/stable/generated/wradlib.clutter.classify_echo_fuzzy.html>
> , I noticed that the trapezoidal membership function for the decision
> variable rhohv (rho2) is very strict in the sense that it very easily
> regards not so low values of rhohv as clutter, although such values
> could simply correspond to the bright band. See here
>
https://github.com/wradlib/wradlib/blob/main/wradlib/clutter.py
> <
https://github.com/wradlib/wradlib/blob/main/wradlib/clutter.py> , line
> 409: "rho2": [-9999, -9999, 0.95, 0.98].
>
> Looking at Vulpiani et al. (2012) on which the function
> classify_echo_fuzzy is based, there is no sign of rhohv as a decision
> variable (only its texture). So, what is the scientific basis for the
> above implementation?
>
> Thank you in advance,
> Cheers,
> Sylvain
>
> Sylvain WATELET
>
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> Institut Royal Météorologique/
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Kai Muehlbauer
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