In this notebook, we will use the depolarization ratio to quality control a volume of data from the new radar at Radisson, Saskatchewan
This notebook was originally prepared using material subsequently published in https://doi.org/10.1002/met.1929
%matplotlib inline
import _raveio
import ropo_realtime, ec_drqc
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import GmapColorMap
Block of look-ups for display
PALETTE = {} # To be populated
UNDETECT = {"TH":GmapColorMap.PUREWHITE,
"DBZH":GmapColorMap.PUREWHITE,
"DR":GmapColorMap.PUREWHITE,
"VRADH":GmapColorMap.GREY5,
"RHOHV":GmapColorMap.PUREWHITE,
"ZDR":GmapColorMap.PUREWHITE}
NODATA = {"TH":GmapColorMap.WEBSAFEGREY,
"DBZH":GmapColorMap.WEBSAFEGREY,
"DR":GmapColorMap.WEBSAFEGREY,
"VRADH":GmapColorMap.GREY8,
"RHOHV":GmapColorMap.WEBSAFEGREY,
"ZDR":GmapColorMap.WEBSAFEGREY}
LEGEND = {"TH":'Radar reflectivity factor (dBZ)',
"DBZH":'Radar reflectivity factor (dBZ)',
"DR":'Depolarization ratio (dB)',
"VRADH":'Radial wind velocity away from radar (m/s)',
"RHOHV":'Cross-polar correlation coefficient',
"ZDR":"Differential reflectivity (dB)"}
TICKS = {"TH":range(-30,80,10),
"DBZH":range(-30,80,10),
"ZDR":range(-8,9,2),
"RHOHV":np.arange(0,11,1)/10.,
"VRADH":range(-48,56,8),
"DR":range(-36,3,3)}
Colormap loader and loads
def loadPal(fstr, reverse=True):
fd = open(fstr)
LINES = fd.readlines()
fd.close()
pal = []
for line in LINES:
s = line.split()
if reverse: s.reverse()
for val in s:
pal.append(int(float(val)*255))
if reverse: pal.reverse()
return pal
# Colour maps by Fabio Crameri, http://www.fabiocrameri.ch/colourmaps.php, a couple of them modified
PALETTE["DBZH"] = loadPal("data/hawaii.txt")
PALETTE["DR"] = loadPal("data/moleron.txt", False) # Modified oleron
PALETTE["ZDR"] = loadPal("data/oleron.txt", False)
PALETTE["RHOHV"] = loadPal("data/mroma.txt") # Modified roma
PALETTE["VRADH"] = loadPal("data/vik.txt", False)
Set up the display
def display(obj):
fig = plt.figure()
default_size = fig.get_size_inches()
fig.set_size_inches((default_size[0]*2, default_size[1]*2))
paramname = obj.getParameterNames()[0]
pal = PALETTE[paramname]
pal[0], pal[1], pal[2] = UNDETECT[paramname] # Special value - areas radiated but void of echo
pal[767], pal[766], pal[765] = NODATA[paramname] # Special value - areas unradiated
if paramname == "VRADH":
pal[379], pal[380], pal[381] = GmapColorMap.PUREWHITE # VRADH isodop
pal[382], pal[383], pal[384] = GmapColorMap.PUREWHITE # VRADH isodop
pal[385], pal[386], pal[387] = GmapColorMap.PUREWHITE # VRADH isodop
colorlist = []
for i in range(0, len(pal), 3):
colorlist.append([pal[i]/255.0, pal[i+1]/255.0, pal[i+2]/255.0])
param = obj.getParameter(paramname)
data = param.getData()
data = data*param.gain + param.offset
im = plt.imshow(data,cmap=matplotlib.colors.ListedColormap(colorlist))
cax = plt.gca()
cax.axes.get_xaxis().set_visible(False)
cax.axes.get_yaxis().set_visible(False)
cb = plt.colorbar(ticks=TICKS[paramname])
cb.set_label(LEGEND[paramname])
plt.show()
Do the science
NOW LEAVE THIS NOTEBOOK AND GO TO A TERMINAL to generate CAPPIs
Read and display CAPPIs, starting with Doppler-corrected reflectivity
cappi = _raveio.open('data/cappi_DBZH.h5').object
display(cappi)
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Input In [7], in <module>
----> 1 cappi = _raveio.open('data/cappi_DBZH.h5').object
2 display(cappi)
OSError: Failed to open file
Differential reflectivity
cappi = _raveio.open('data/cappi_ZDR.h5').object
display(cappi)
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Input In [8], in <module>
----> 1 cappi = _raveio.open('data/cappi_ZDR.h5').object
2 display(cappi)
OSError: Failed to open file
Cross-polar correlation coefficient
cappi = _raveio.open('data/cappi_RHOHV.h5').object
display(cappi)
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Input In [9], in <module>
----> 1 cappi = _raveio.open('data/cappi_RHOHV.h5').object
2 display(cappi)
OSError: Failed to open file
Radial wind velocity, lowest PPI
ppi = _raveio.open('data/ppi_VRADH.h5').object
display(ppi)
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Input In [10], in <module>
----> 1 ppi = _raveio.open('data/ppi_VRADH.h5').object
2 display(ppi)
OSError: Failed to open file
Depolarization ratio
cappi = _raveio.open('data/cappi_DR.h5').object
display(cappi)
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Input In [11], in <module>
----> 1 cappi = _raveio.open('data/cappi_DR.h5').object
2 display(cappi)
OSError: Failed to open file
ROPO:ed reflectivity
cappi = _raveio.open('data/cappi_DBZH_ropo.h5').object
display(cappi)
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Input In [12], in <module>
----> 1 cappi = _raveio.open('data/cappi_DBZH_ropo.h5').object
2 display(cappi)
OSError: Failed to open file
DRQC:ed reflectivity
cappi = _raveio.open('data/cappi_DBZH_drqc.h5').object
display(cappi)
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Input In [13], in <module>
----> 1 cappi = _raveio.open('data/cappi_DBZH_drqc.h5').object
2 display(cappi)
OSError: Failed to open file