from pycwr.retrieve.HID import fhc_HCL
import matplotlib.pyplot as plt
import numpy as np
from pycwr.draw.RadarPlot import plot_xy, add_rings
import pandas as pd
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help(fhc_HCL)
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Help on function fhc_HCL in module pycwr.retrieve.HID:
fhc_HCL(dBZ=None, ZDR=None, KDP=None, CC=None, LDR=None, T=None, method='hybrid', band='C', weights={'dBZ': 1.5, 'ZDR': 0.8, 'KDP': 1.0, 'CC': 0.8, 'LDR': 0, 'T': 0})
Does FHC for warm-season precip. using beta function for Fuzzy Logic
HCL types: Species #:
Drizzle 1
Rain 2
Ice Crystals 3
Dry Aggregates Snow 4
Wet Snow 5
Vertical Ice 6
Low-Density Graupel 7
High-Density Graupel 8
Hail 9
Big Drops 10
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cite{Dolan, Brenda , et al. "A Robust C-Band Hydrometeor Identification Algorithm and Application to
a Long-Term Polarimetric Radar Dataset." Journal of Applied Meteorology and Climatology 52.9(2013):2162-2186.}
:param KDP: Input specific differential phase scalar/array
:param CC: Input cross correlation ratio scalar/array
:param LDR: Input linear depolarization ratio scalar/array
:param T: Input temperature scalar/array
:param method: Currently support 'hybrid' or 'linear' methods; hybrid preferred
:param band: 'X', 'C', or 'S'
:return: hydrometeor species [1-10]
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/opt/conda/lib/python3.9/site-packages/pycwr/draw/RadarPlot.py:673: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.
