Please follow these steps to running this script
# BASIC CONFIGURATION
rid = '50' # radar identification number (leading zero needed for single digits), string
rdate = '2014/11/27' # date to start the image generation (format: YYYY/MM/DD), string
rtime = '15:00' # time to start the image generation (format: HH:MM), string
rdur = 0.5 # number of hours from start date/time for image generation (MUST NOT EXTEND TO THE NEXT DAY), integer
prng = 150 # number of kilometers from the radar site to plot, integer
field = 'reflectivity' # product to plot. Reflectivity = 'reflectivity', Doppler Velocity = 'velocity'
# (Others/Polarimetric:differential_reflectivity, cross_correlation_ratio, specific_differential_phase, differential_phase, spectrum_width), string
# MAP CONFIGURATION
hide_place_names = [''] #list of placenames you wish to hide from the map (they are auto generated), list of string
nice_radar_name = 'Marburg' #name of radar to use for title, string
nice_colorbar_name = field #name to use for colorbar
range_ring_list = [50, 100] #list of range ring disances from the radar site (km), list of numbers
# ADVANCED CONFIGURATION
tilt = 1 # PPI index in volume to plot, first/lowest PPI is number 0, integer
# ADVANCED CONFIGURATION - Reflectivity
vmin_ref = 20 # minimum of colourmap (values less than will be removed), integer
vmax_ref = 65 # maximum of colormap (values greater than will be removed), integer
cmap_ref = 'pyart_HomeyerRainbow' # colormap to use. Another option is 'pyart_NWSRef' for more see https://arm-doe.github.io/pyart/API/generated/pyart.graph.html, string
# ADVANCED CONFIGURATION - Doppler Velocity
vmin_vel =-26 # minimum of colormap, integer
vmax_vel = 26 # maximum of colormap, integer
cmap_vel = 'pyart_BuDRd18' # colormap to use, string
# ADVANCED CONFIGURATION - Other/Polarimetric
vmin_pol = -1 # minimum of colormap, integer
vmax_pol = 5 # maximum of colormap, integer
cmap_pol = 'pyart_HomeyerRainbow' # olormap to use, string
import core
cdict = {
'rid':rid, 'rdate':rdate, 'rtime':rtime, 'rdur':rdur, 'prng':prng, 'field':field,
'hide_place_names':hide_place_names,'nice_radar_name':nice_radar_name, 'range_ring_list':range_ring_list,
'tilt':tilt,
'vmin_ref':vmin_ref, 'vmax_ref':vmax_ref, 'cmap_ref':cmap_ref,
'vmin_vel':vmin_vel, 'vmax_vel':vmax_vel, 'cmap_vel':cmap_vel,
'vmin_pol':vmin_pol, 'vmax_pol':vmax_pol, 'cmap_pol':cmap_pol
}
core.build_animation(cdict)
## You are using the Python ARM Radar Toolkit (Py-ART), an open source ## library for working with weather radar data. Py-ART is partly ## supported by the U.S. Department of Energy as part of the Atmospheric ## Radiation Measurement (ARM) Climate Research Facility, an Office of ## Science user facility. ## ## If you use this software to prepare a publication, please cite: ## ## JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119 Fetching: http://dapds00.nci.org.au/thredds/fileServer/rq0/50/2014/vol/50_20141127.pvol.zip
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Generating Images
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