Products generation (pyrad.prod)

Initiate the products generation.

Auxiliary functions

get_dsformat_func

Product generation

generate_occurrence_products(dataset, prdcfg) generates occurrence products. Accepted product types:
generate_cosmo_coord_products(dataset, prdcfg) generates COSMO coordinates products. Accepted product types:
generate_cosmo_to_radar_products(dataset, prdcfg) generates COSMO data in radar coordinates products.
generate_sun_hits_products(dataset, prdcfg) generates sun hits products. Accepted product types:
generate_intercomp_products(dataset, prdcfg) Generates radar intercomparison products. Accepted product types:
generate_colocated_gates_products(dataset, …) Generates colocated gates products. Accepted product types:
generate_time_avg_products(dataset, prdcfg) generates time average products. Accepted product types:
generate_qvp_products(dataset, prdcfg) Generates quasi vertical profile-like products.
generate_vol_products(dataset, prdcfg) Generates radar volume products. Accepted product types:
generate_timeseries_products(dataset, prdcfg) Generates time series products. Accepted product types:
generate_monitoring_products(dataset, prdcfg) generates a monitoring product.
generate_spectra_products(dataset, prdcfg) generates spectra products. Accepted product types:
generate_grid_products(dataset, prdcfg) generates grid products. Accepted product types:
generate_grid_time_avg_products(dataset, prdcfg) generates time average products. Accepted product types:
generate_traj_product(traj, prdcfg) Generates trajectory products. Accepted product types:
generate_ml_products(dataset, prdcfg) Generates melting layer products. Accepted product types:
pyrad.prod.generate_colocated_gates_products(dataset, prdcfg)[source]
Generates colocated gates products. Accepted product types:
‘WRITE_COLOCATED_GATES’: Writes the position of the co-located gates
in a csv file

All the products of the ‘VOL’ dataset group

Parameters:
dataset : tuple

radar objects and colocated gates dictionary

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_cosmo_coord_products(dataset, prdcfg)[source]
generates COSMO coordinates products. Accepted product types:
‘SAVEVOL’: Save an object containing the index of the COSMO model grid

that corresponds to each radar gate in a C/F radial file. User defined parameters:

file_type: str
The type of file used to save the data. Can be ‘nc’ or ‘h5’. Default ‘nc’
physical: Bool
If True the data will be saved in physical units (floats). Otherwise it will be quantized and saved as binary
compression: str
For ODIM file formats, the type of compression. Can be any of the allowed compression types for hdf5 files. Default gzip
compression_opts: any
The compression options allowed by the hdf5. Depends on the type of compression. Default 6 (The gzip compression level).
Parameters:
dataset : tuple

radar object containing the COSMO coordinates

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_cosmo_to_radar_products(dataset, prdcfg)[source]

generates COSMO data in radar coordinates products. Accepted product types:

‘SAVEVOL’: Save an object containing the COSMO data in radar
coordinatesin a C/F radial or ODIM file.

User defined parameters: file_type: str

The type of file used to save the data. Can be ‘nc’ or ‘h5’. Default ‘nc’
physical: Bool
If True the data will be saved in physical units (floats). Otherwise it will be quantized and saved as binary
compression: str
For ODIM file formats, the type of compression. Can be any of the allowed compression types for hdf5 files. Default gzip
compression_opts: any
The compression options allowed by the hdf5. Depends on the type of compression. Default 6 (The gzip compression level).

All the products of the ‘VOL’ dataset group

Parameters:
dataset : tuple

radar object containing the COSMO coordinates

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_grid_products(dataset, prdcfg)[source]
generates grid products. Accepted product types:
‘CROSS_SECTION’: Plots a cross-section of gridded data
User defined parameters:
coord1, coord2: dict
The two lat-lon coordinates marking the limits. They have the keywords ‘lat’ and ‘lon’ [degree]. The altitude limits are defined by the parameters in ‘rhiImageConfig’ in the ‘loc’ configuration file
‘HISTOGRAM’: Computes a histogram of the radar volum data
User defined parameters:
step: float or None
the data quantization step. If none it will be obtained from the Py-ART configuration file
vmin, vmax: float or None
The minimum and maximum values. If None they will be obtained from the Py-ART configuration file
mask_val: float or None
A value to mask.
write_data: Bool
If true the histogram data is written in a csv file
‘LATITUDE_SLICE’: Plots a cross-section of gridded data over a

constant latitude. User defined parameters:

lon, lat: floats
The starting point of the cross-section. The ending point is defined by the parameters in ‘rhiImageConfig’ in the ‘loc’ configuration file
‘LONGITUDE_SLICE’: Plots a cross-ection of gridded data over a

constant longitude. User defined parameters:

lon, lat: floats
The starting point of the cross-section. The ending point is defined by the parameters in ‘rhiImageConfig’ in the ‘loc’ configuration file
‘SAVEALL’: Saves a gridded data object including all or a list of

user-defined fields in a netcdf file User defined parameters:

datatypes: list of str or None
The list of data types to save. If it is None, all fields in the radar object will be saved

‘SAVEVOL’: Saves on field of a gridded data object in a netcdf file. ‘STATS’: Computes statistics over the whole images and stores them in

a file. User defined parameters:

stat: str
The statistic used. Can be mean, median, min, max
‘SURFACE_IMAGE’: Plots a surface image of gridded data.
User defined parameters:
level: int
The altitude level to plot. The rest of the parameters are defined by the parameters in ‘ppiImageConfig’ and ‘ppiMapImageConfig’ in the ‘loc’ configuration file
‘SURFACE_CONTOUR’: Plots a surface image of contour gridded data.
User defined parameters:
level: int
The altitude level to plot. The rest of the parameters are defined by the parameters in ‘ppiImageConfig’ and ‘ppiMapImageConfig’ in the ‘loc’ configuration file
contour_values : float array or None
The contour values. If None the values are taken from the ‘boundaries’ keyword in the field description in the Py-ART config file. If ‘boundaries’ is not set the countours are 10 values linearly distributed from vmin to vmax
linewidths : float
width of the contour lines
colors : color string or sequence of colors
The contour colours
SURFACE_CONTOUR_OVERPLOT:

Plots a surface image of gridded data with a contour overplotted. User defined parameters:

level: int
The altitude level to plot. The rest of the parameters are defined by the parameters in ‘ppiImageConfig’ and ‘ppiMapImageConfig’ in the ‘loc’ configuration file
contour_values : float array or None
The contour values. If None the values are taken from the ‘boundaries’ keyword in the field description in the Py-ART config file. If ‘boundaries’ is not set the countours are 10 values linearly distributed from vmin to vmax
linewidths : float
width of the contour lines
colors : color string or sequence of colors
The contour colours
SURFACE_OVERPLOT:

Plots on the same surface two images, one on top of the other. User defined parameters:

level: int
The altitude level to plot. The rest of the parameters are defined by the parameters in ‘ppiImageConfig’ and ‘ppiMapImageConfig’ in the ‘loc’ configuration file
contour_values : float array or None
The contour values. If None the values are taken from the ‘boundaries’ keyword in the field description in the Py-ART config file. If ‘boundaries’ is not set the countours are 10 values linearly distributed from vmin to vmax
Parameters:
dataset : grid

grid object

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
None or name of generated files
pyrad.prod.generate_grid_time_avg_products(dataset, prdcfg)[source]
generates time average products. Accepted product types:
All the products of the ‘VOL’ dataset group
Parameters:
dataset : tuple

radar objects and colocated gates dictionary

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_intercomp_products(dataset, prdcfg)[source]
Generates radar intercomparison products. Accepted product types:
‘PLOT_AND_WRITE_INTERCOMP_TS’: Writes statistics of radar

intercomparison in a file and plots the time series of the statistics. User defined parameters:

‘add_date_in_fname’: Bool
If true adds the year in the csv file containing the statistics. Default False
‘sort_by_date’: Bool
If true sorts the statistics by date when reading the csv file containing the statistics. Default False
‘rewrite’: Bool
If true rewrites the csv file containing the statistics. Default False
‘npoints_min’: int
The minimum number of points to consider the statistics valid and therefore use the data point in the plotting. Default 0
‘corr_min’: float
The minimum correlation to consider the statistics valid and therefore use the data point in the plotting. Default 0.
‘PLOT_SCATTER_INTERCOMP’: Plots a density plot with the points of

radar 1 versus the points of radar 2 User defined parameters:

‘step’: float
The quantization step of the data. If none it will be computed using the Py-ART config file. Default None
‘scatter_type’: str
Type of scatter plot. Can be a plot for each radar volume (‘instant’) or at the end of the processing period (‘cumulative’). Default is ‘cumulative’
‘WRITE_INTERCOMP’: Writes the instantaneously intercompared data
(gate positions, values, etc.) in a csv file.
‘WRITE_INTERCOMP_TIME_AVG’: Writes the time-averaged intercompared
data (gate positions, values, etc.) in a csv file.
Parameters:
dataset : tuple

values of colocated gates dictionary

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_ml_products(dataset, prdcfg)[source]
Generates melting layer products. Accepted product types:
‘ML_TS’: Plots and writes a time series of the melting layer, i.e.

the evolution of the average and standard deviation of the melting layer top and thickness and the the number of rays used in the retrieval. User defined parameters:

dpi: int
The pixel density of the plot. Default 72
‘SAVE_ML’: Saves an object containing the melting layer retrieval
information in a C/F radial file

All the products of the ‘VOL’ dataset group

Parameters:
dataset : dict

dictionary containing the radar object and a keyword stating the status of the processing

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_monitoring_products(dataset, prdcfg)[source]

generates a monitoring product. With the parameter ‘hist_type’ the user may define if the product is computed for each radar volume (‘instant’) or at the end of the processing period (‘cumulative’). Default is ‘cumulative’. Accepted product types:

‘ANGULAR_DENSITY’: For a specified elevation angle, plots a 2D

histogram with the azimuth angle in the X-axis and the data values in the Y-axis. The reference values and the user defined quantiles are also plot on the same figure User defined parameters:

anglenr: int
The elevation angle number to plot
quantiles: list of floats
The quantiles to plot. Default 25., 50., 75.
ref_value: float
The reference value
vmin, vmax : floats or None
The minimum and maximum values of the data points. If not specified they are obtained from the Py-ART config file
‘CUMUL_VOL_TS’: Plots time series of the average of instantaneous

quantiles stored in a csv file. User defined parameters:

quantiles: list of 3 floats
the quantiles to compute. Default 25., 50., 75.
ref_value: float
The reference value. Default 0
sort_by_date: Bool
If true when reading the csv file containing the statistics the data is sorted by date. Default False
rewrite: Bool
If true the csv file containing the statistics is rewritten
add_data_in_fname: Bool
If true and the data used is cumulative the year is written in the csv file name and the plot file name
npoints_min: int
Minimum number of points to use the data point in the plotting and to send an alarm. Default 0
vmin, vmax: float or None
Limits of the Y-axis (data value). If None the limits are obtained from the Py-ART config file
alarm: Bool
If true an alarm is sent
tol_abs: float
Margin of tolerance from the reference value. If the current value is above this margin an alarm is sent. If the margin is not specified it is not possible to send any alarm
tol_trend: float
Margin of tolerance from the reference value. If the trend of the last X events is above this margin an alarm is sent. If the margin is not specified it is not possible to send any alarm
nevents_min: int
Minimum number of events with sufficient points to send an alarm related to the trend. If not specified it is not possible to send any alarm
sender: str
The mail of the alarm sender. If not specified it is not possible to send any alarm
receiver_list: list of str
The list of emails of the people that will receive the alarm.. If not specified it is not possible to send any alarm
‘PPI_HISTOGRAM’: Plots a histogram of data at a particular

elevation angle. User defined parameters:

anglenr: int
The elevation angle number to plot
‘SAVEVOL’: Saves the monitoring data in a C/F radar file. The data
field contains histograms of data for each pair of azimuth and elevation angles
‘VOL_HISTOGRAM’: Plots a histogram of data collected from all the

radar volume. User defined parameters:

write_data: bool
If true the resultant histogram is also saved in a csv file. Default True.
‘VOL_TS’: Computes statistics of the gathered data and writes them in

a csv file and plots a time series of those statistics. User defined parameters:

quantiles: list of 3 floats
the quantiles to compute. Default 25., 50., 75.
ref_value: float
The reference value. Default 0
sort_by_date: Bool
If true when reading the csv file containing the statistics the data is sorted by date. Default False
rewrite: Bool
If true the csv file containing the statistics is rewritten
add_data_in_fname: Bool
If true and the data used is cumulative the year is written in the csv file name and the plot file name
npoints_min: int
Minimum number of points to use the data point in the plotting and to send an alarm. Default 0
vmin, vmax: float or None
Limits of the Y-axis (data value). If None the limits are obtained from the Py-ART config file
alarm: Bool
If true an alarm is sent
tol_abs: float
Margin of tolerance from the reference value. If the current value is above this margin an alarm is sent. If the margin is not specified it is not possible to send any alarm
tol_trend: float
Margin of tolerance from the reference value. If the trend of the last X events is above this margin an alarm is sent. If the margin is not specified it is not possible to send any alarm
nevents_min: int
Minimum number of events with sufficient points to send an alarm related to the trend. If not specified it is not possible to send any alarm
sender: str
The mail of the alarm sender. If not specified it is not possible to send any alarm
receiver_list: list of str
The list of emails of the people that will receive the alarm.. If not specified it is not possible to send any alarm
Parameters:
dataset : dictionary

dictionary containing a histogram object and some metadata

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_occurrence_products(dataset, prdcfg)[source]
generates occurrence products. Accepted product types:
‘WRITE_EXCESS_GATES’: Write the data that identifies radar gates

with clutter that has a frequency of occurrence above a certain threshold. User defined parameters:

quant_min: float
Minimum frequency of occurrence in percentage to keep the gate as valid. Default 95.

All the products of the ‘VOL’ dataset group

Parameters:
dataset : tuple

radar object and metadata dictionary

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_qvp_products(dataset, prdcfg)[source]

Generates quasi vertical profile-like products. Quasi vertical profiles come from azimuthal averaging of polarimetric radar data. With the variable ‘qvp_type’ the user decides if the product has to be generated at the end of the processing period (‘final’) or instantaneously (‘instant’) Accepted product types:

All the products of the ‘VOL’ dataset group
Parameters:
dataset : dict

dictionary containing the radar object and a keyword stating the status of the processing

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_spectra_products(dataset, prdcfg)[source]
generates spectra products. Accepted product types:
‘AMPLITUDE_PHASE_ANGLE_DOPPLER’: Makes an angle Doppler plot of

complex spectra or IQ data. The plot can be along azimuth or along range. It is plotted separately the module and the phase of the signal. User defined parameters:

along_azi : bool
If true the plot is performed along azimuth, otherwise along elevation. Default true
ang : float
The fixed angle (deg). Default 0.
rng : float
The fixed range (m). Default 0.
ang_tol : float
The fixed angle tolerance (deg). Default 1.
rng_tol : float
The fixed range tolerance (m). Default 50.
xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
ampli_vmin, ampli_vmax, phase_vmin, phase_vmax : float or None
Minimum and maximum of the color scale for the module and phase
‘AMPLITUDE_PHASE_DOPPLER’: Plots a complex Doppler spectrum or IQ data

making two separate plots for the module and phase of the signal User defined parameters:

azi, ele, rng : float
azimuth and elevation (deg) and range (m) of the ray to plot
azi_to, ele_tol, rng_tol : float
azimuth and elevation (deg) and range (m) tolerance respect to nominal position to plot. Default 1, 1, 50.
ind_ray, ind_rng : int
index of the ray and range to plot. Alternative to defining its antenna coordinates
xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
ampli_vmin, ampli_vmax, phase_vmin, phase_vmax : float or None
Minimum and maximum of the color scale for the module and phase
‘AMPLITUDE_PHASE_RANGE_DOPPLER’: Plots a complex spectra or IQ data

range-Doppler making two separate plots for the module and phase of the signal User defined parameters:

azi, ele : float
azimuth and elevation (deg) of the ray to plot
azi_to, ele_tol : float
azimuth and elevation (deg) tolerance respect to nominal position to plot. Default 1, 1.
ind_ray : int
index of the ray to plot. Alternative to defining its antenna coordinates
xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
ampli_vmin, ampli_vmax, phase_vmin, phase_vmax : float or None
Minimum and maximum of the color scale for the module and phase
‘AMPLITUDE_PHASE_TIME_DOPPLER’: Plots a complex spectra or IQ data

time-Doppler making two separate plots for the module and phase of the signal User defined parameters:

xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’ or ‘Doppler frequency’
ampli_vmin, ampli_vmax, phase_vmin, phase_vmax : float or None
Minimum and maximum of the color scale for the module and phase
plot_type : str
Can be ‘final’ or ‘temporal’. If final the data is only plotted at the end of the processing
‘ANGLE_DOPPLER’: Makes an angle Doppler plot. The plot can be along

azimuth or along range User defined parameters:

along_azi : bool
If true the plot is performed along azimuth, otherwise along elevation. Default true
ang : float
The fixed angle (deg). Default 0.
rng : float
The fixed range (m). Default 0.
ang_tol : float
The fixed angle tolerance (deg). Default 1.
rng_tol : float
The fixed range tolerance (m). Default 50.
xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
vmin, vmax : float or None
Minimum and maximum of the color scale
‘COMPLEX_ANGLE_DOPPLER’: Makes an angle Doppler plot of complex

spectra or IQ data. The plot can be along azimuth or along range. The real and imaginary parts are plotted separately User defined parameters:

along_azi : bool
If true the plot is performed along azimuth, otherwise along elevation. Default true
ang : float
The fixed angle (deg). Default 0.
rng : float
The fixed range (m). Default 0.
ang_tol : float
The fixed angle tolerance (deg). Default 1.
rng_tol : float
The fixed range tolerance (m). Default 50.
xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
vmin, vmax : float or None
Minimum and maximum of the color scale
‘COMPLEX_DOPPLER’: Plots a complex Doppler spectrum or IQ data making

two separate plots for the real and imaginary parts User defined parameters:

azi, ele, rng : float
azimuth and elevation (deg) and range (m) of the ray to plot
azi_to, ele_tol, rng_tol : float
azimuth and elevation (deg) and range (m) tolerance respect to nominal position to plot. Default 1, 1, 50.
ind_ray, ind_rng : int
index of the ray and range to plot. Alternative to defining its antenna coordinates
xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
vmin, vmax : float or None
Minimum and maximum of the color scale
‘COMPLEX_RANGE_DOPPLER’: Plots the complex spectra or IQ data

range-Doppler making two separate plots for the real and imaginary parts User defined parameters:

azi, ele : float
azimuth and elevation (deg) of the ray to plot
azi_to, ele_tol : float
azimuth and elevation (deg) tolerance respect to nominal position to plot. Default 1, 1.
ind_ray : int
index of the ray to plot. Alternative to defining its antenna coordinates
xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
vmin, vmax : float or None
Minimum and maximum of the color scale
‘COMPLEX_TIME_DOPPLER’: Plots the complex spectra or IQ data

time-Doppler making two separate plots for the real and imaginary parts User defined parameters:

xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’ or ‘Doppler frequency’
vmin, vmax : float or None
Minimum and maximum of the color scale
plot_type : str
Can be ‘final’ or ‘temporal’. If final the data is only plotted at the end of the processing
‘DOPPLER’: Plots a Doppler spectrum variable or IQ data variable
User defined parameters:
azi, ele, rng : float
azimuth and elevation (deg) and range (m) of the ray to plot
azi_to, ele_tol, rng_tol : float
azimuth and elevation (deg) and range (m) tolerance respect to nominal position to plot. Default 1, 1, 50.
ind_ray, ind_rng : int
index of the ray and range to plot. Alternative to defining its antenna coordinates
xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
vmin, vmax : float or None
Minimum and maximum of the color scale
‘RANGE_DOPPLER’: Makes a range-Doppler plot of spectral or IQ data
User defined parameters:
azi, ele : float
azimuth and elevation (deg) of the ray to plot
azi_to, ele_tol : float
azimuth and elevation (deg) tolerance respect to nominal position to plot. Default 1, 1.
ind_ray : int
index of the ray to plot. Alternative to defining its antenna coordinates
xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
vmin, vmax : float or None
Minimum and maximum of the color scale
‘SAVEALL’: Saves radar spectra or IQ volume data including all or a

list of userdefined fields in a netcdf file User defined parameters:

datatypes: list of str or None
The list of data types to save. If it is None, all fields in the radar object will be saved
physical: Bool
If True the data will be saved in physical units (floats). Otherwise it will be quantized and saved as binary
‘SAVEVOL’: Saves one field of a radar spectra or IQ volume data in a

netcdf file User defined parameters:

physical: Bool
If True the data will be saved in physical units (floats). Otherwise it will be quantized and saved as binary
‘TIME_DOPPLER’: Makes a time-Doppler plot of spectral or IQ data at a

point of interest. User defined parameters:

xaxis_info : str
The xaxis type. Can be ‘Doppler_velocity’, ‘Doppler_frequency’ or ‘pulse_number’
vmin, vmax : float or None
Minimum and maximum of the color scale
plot_type : str
Can be ‘final’ or ‘temporal’. If final the data is only plotted at the end of the processing
Parameters:
dataset : spectra

spectra object

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
None or name of generated files
pyrad.prod.generate_sun_hits_products(dataset, prdcfg)[source]
generates sun hits products. Accepted product types:
‘PLOT_SUN_HITS’: Plots in a sun-radar azimuth difference-sun-radar
elevation difference grid the values of all sun hits obtained during the processing period
‘PLOT_SUN_RETRIEVAL’: Plots in a sun-radar azimuth difference-sun-
radar elevation difference grid the retrieved sun pattern
‘PLOT_SUN_RETRIEVAL_TS’: Plots time series of the retrieved sun

pattern parameters User defined parameters:

dpi: int
The pixel density of the plot. Default 72
add_date_in_fname: Bool
If true the year is added in the plot file name
‘WRITE_SUN_HITS’: Writes the information concerning possible sun hits
in a csv file
‘WRITE_SUN_RETRIEVAL’: Writes the retrieved sun pattern parameters in

a csv file. User defined parameters:

add_date_in_fname: Bool
If true the year is added in the csv file name

All the products of the ‘VOL’ dataset group

Parameters:
dataset : tuple

radar object and sun hits dictionary

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_time_avg_products(dataset, prdcfg)[source]
generates time average products. Accepted product types:
All the products of the ‘VOL’ dataset group
Parameters:
dataset : tuple

radar objects and colocated gates dictionary

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
filename : str

the name of the file created. None otherwise
pyrad.prod.generate_timeseries_products(dataset, prdcfg)[source]
Generates time series products. Accepted product types:
‘COMPARE_CUMULATIVE_POINT’: Plots in the same graph 2 time series of

data accumulation (tipically rainfall rate). One time series is a point measurement of radar data while the other is from a co-located instrument (rain gauge or disdrometer) User defined parameters:

dpi: int
The pixel density of the plot. Default 72
vmin, vmax: float
The limits of the Y-axis. If none they will be obtained from the Py-ART config file.
sensor: str
The sensor type. Can be ‘rgage’ or ‘disdro’
sensorid: str
The sensor ID.
location: str
A string identifying the location of the disdrometer
freq: float
The frequency used to retrieve the polarimetric variables of a disdrometer
ele: float
The elevation angle used to retrieve the polarimetric variables of a disdrometer
ScanPeriod: float
The scaning period of the radar in seconds. This parameter is defined in the ‘loc’ config file
‘COMPARE_POINT’: Plots in the same graph 2 time series of

data . One time series is a point measurement of radar data while the other is from a co-located instrument (rain gauge or disdrometer) User defined parameters:

dpi: int
The pixel density of the plot. Default 72
vmin, vmax: float
The limits of the Y-axis. If none they will be obtained from the Py-ART config file.
sensor: str
The sensor type. Can be ‘rgage’ or ‘disdro’
sensorid: str
The sensor ID.
location: str
A string identifying the location of the disdrometer
freq: float
The frequency used to retrieve the polarimetric variables of a disdrometer
ele: float
The elevation angle used to retrieve the polarimetric variables of a disdrometer
‘COMPARE_TIME_AVG’: Creates a scatter plot of average radar data

versus average sensor data. User defined parameters:

dpi: int
The pixel density of the plot. Default 72
sensor: str
The sensor type. Can be ‘rgage’ or ‘disdro’
sensorid: str
The sensor ID.
location: str
A string identifying the location of the disdrometer
freq: float
The frequency used to retrieve the polarimetric variables of a disdrometer
ele: float
The elevation angle used to retrieve the polarimetric variables of a disdrometer
cum_time: float
Data accumulation time [s]. Default 3600.
base_time: float
Starting moment of the accumulation [s from midnight]. Default 0.
‘PLOT_AND_WRITE’: Writes and plots a trajectory time series.
User defined parameters:
ymin, ymax: float
The minimum and maximum value of the Y-axis. If none it will be obtained from the Py-ART config file.
‘PLOT_AND_WRITE_POINT’: Plots and writes a time series of radar data

at a particular point User defined parameters:

dpi: int
The pixel density of the plot. Default 72
vmin, vmax: float
The limits of the Y-axis. If none they will be obtained from the Py-ART config file.
‘PLOT_CUMULATIVE_POINT’: Plots a time series of radar data

accumulation at a particular point. User defined parameters:

dpi: int
The pixel density of the plot. Default 72
vmin, vmax: float
The limits of the Y-axis. If none they will be obtained from the Py-ART config file.
ScanPeriod: float
The scaning period of the radar in seconds. This parameter is defined in the ‘loc’ config file
‘PLOT_HIST’: plots and writes a histogram of all the data gathered

during the trajectory processing User defined parameters:

step: float or None
The quantization step of the data. If None it will be obtained from the Py-ART config file
‘TRAJ_CAPPI_IMAGE’: Creates a CAPPI image with the trajectory position

overplot on it. User defined parameters:

color_ref: str
The meaning of the color code with which the trajectory is plotted. Can be ‘None’, ‘altitude’ (the absolute altitude), ‘rel_altitude’ (altitude relative to the CAPPI altitude), ‘time’ (trajectory time respect of the start of the radar scan leading to the CAPPI)
altitude: float
The CAPPI altitude [m]
wfunc: str
Function used in the gridding of the radar data. The function types are defined in pyart.map.grid_from_radars. Default ‘NEAREST’
res: float
The CAPPI resolution [m]. Default 500.
Parameters:
dataset : dictionary

radar object

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
no return
pyrad.prod.generate_traj_product(traj, prdcfg)[source]
Generates trajectory products. Accepted product types:
‘TRAJ_MAP’: Plots the trajectory on a lat-lon map with the altitude
color coded
‘TRAJ_PLOT’: Plots time series of the trajectory respect to the radar

elevation, azimuth or range User defined parameters:

‘datatype’: str
The type of parameter: ‘EL’, ‘AZ’, or ‘RANGE’

‘TRAJ_TEXT’: Writes the trajectory information in a csv file

Parameters:
traj : Trajectory object
prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
None
pyrad.prod.generate_vol_products(dataset, prdcfg)[source]
Generates radar volume products. Accepted product types:
‘CDF’: plots and writes the cumulative density function of data
User defined parameters:
quantiles: list of floats
The quantiles to compute in percent. Default None
sector: dict

dictionary defining the sector where to compute the CDF. Default is None and the CDF is computed over all the data May contain:

rmin, rmax: float
min and max range [m]
azmin, azmax: float
min and max azimuth angle [deg]
elmin, elmax: float
min and max elevation angle [deg]
hmin, hmax: float
min and max altitude [m MSL]
vismin: float
The minimum visibility to use the data. Default None
absolute: Bool
If true the absolute values of the data will be used. Default False
use_nans: Bool
If true NaN values will be used. Default False
nan_value: Bool
The value by which the NaNs are substituted if NaN values are to be used in the computation
filterclt: Bool
If True the gates containing clutter are filtered
filterprec: list of ints
The hydrometeor types that are filtered from the analysis. Default empty list.
‘BSCOPE_IMAGE’: Creates a B-scope image (azimuth, range)
User defined parameters:
anglenr : int
The elevation angle number to use
ray_dim : str
the ray dimension. Can be ‘ang’ or ‘time’. Default ‘ang’
xaxis_rng : bool
if True the range will be in the x-axis. Otherwise it will be in the y-axis. Default True
vmin, vmax: float or None
The minimum and maximum values of the color scale. If None the scale is going to be set according to the Py-ART config file
‘CAPPI_IMAGE’: Creates a CAPPI image
User defined parameters:
altitude: flt
CAPPI altitude [m MSL]
wfunc: str
The function used to produce the CAPPI as defined in pyart.map.grid_from_radars. Default ‘NEAREST’
cappi_res: float
The CAPPI resolution [m]. Default 500.
‘FIELD_COVERAGE’: Gets the field coverage over a certain sector
User defined parameters:
threshold: float or None
Minimum value to consider the data valid. Default None
nvalid_min: float
Minimum number of valid gates in the ray to consider it valid. Default 5
ele_res, azi_res: float
Elevation and azimuth resolution of the sectors [deg]. Default 1. and 2.
ele_min, ele_max: float
Min and max elevation angle defining the sector [deg]. Default 0. and 30.
ele_step: float
Elevation step [deg]. Default 5.
ele_sect_start, ele_sect_stop: float or None
start and stop angles of the sector coverage. Default None
quantiles: list of floats
The quantiles to compute in the sector. Default 10. to 90. by steps of 10.
AngTol: float
The tolerance in elevation angle when putting the data in a fixed grid
‘FIXED_RNG_IMAGE’: Plots a fixed range image
User defined parameters:
AngTol : float
The tolerance between the nominal angles and the actual radar angles. Default 1.
ele_res, azi_res: float or None
The resolution of the fixed grid [deg]. If None it will be obtained from the separation between angles
vmin, vmax : float or None
Min and Max values of the color scale. If None the values are taken from the Py-ART config file
‘FIXED_RNG_SPAN_IMAGE’: Plots a user-defined statistic over a fixed

range image User defined parameters:

AngTol : float
The tolerance between the nominal angles and the actual radar angles. Default 1.
ele_res, azi_res: float or None
The resolution of the fixed grid [deg]. If None it will be obtained from the separation between angles
stat : str
The statistic to compute. Can be ‘min’, ‘max’, ‘mean’, ‘mode’. Default ‘max’
‘HISTOGRAM’: Computes a histogram of the radar volum data
User defined parameters:
step: float or None
the data quantization step. If none it will be obtained from the Py-ART configuration file
write_data: Bool
If true the histogram data is written in a csv file
‘PLOT_ALONG_COORD’: Plots the radar volume data along a particular

coordinate User defined parameters:

colors: list of str or None
The colors of each ploted line
mode: str
Ploting mode. Can be ‘ALONG_RNG’, ‘ALONG_AZI’ or ‘ALONG_ELE’
value_start, value_stop: float
The starting and ending points of the data to plot. According to the mode it may refer to the range, azimuth or elevation. If not specified the minimum and maximum possible values are used
fix_elevations, fix_azimuths, fix_ranges: list of floats
The elevations, azimuths or ranges to plot for each mode. ‘ALONG_RNG’ would use fix_elevations and fix_azimuths ‘ALONG_AZI’ fix_ranges and fix_elevations ‘ALONG_ELE’ fix_ranges and fix_azimuths
AngTol: float
The tolerance to match the radar angle to the fixed angles Default 1.
RngTol: float
The tolerance to match the radar range to the fixed ranges Default 50.
‘PPI_CONTOUR’: Plots a PPI countour plot
User defined parameters:
contour_values: list of floats or None
The list of contour values to plot. If None the contour values are going to be obtained from the Py-ART config file either with the dictionary key ‘contour_values’ or from the minimum and maximum values of the field with an assumed division of 10 levels.
anglenr: float
The elevation angle number
‘PPI_CONTOUR_OVERPLOT’: Plots a PPI of a field with another field

overplotted as a contour plot. User defined parameters:

contour_values: list of floats or None
The list of contour values to plot. If None the contour values are going to be obtained from the Py-ART config file either with the dictionary key ‘contour_values’ or from the minimum and maximum values of the field with an assumed division of 10 levels.
anglenr: float
The elevation angle number
‘PPI_IMAGE’: Plots a PPI image. It can also plot the histogram and the

quantiles of the data in the PPI. User defined parameters:

anglenr: float
The elevation angle number
plot_type: str
The type of plot to perform. Can be ‘PPI’, ‘QUANTILES’ or ‘HISTOGRAM’
step: float or None
If the plot type is ‘HISTOGRAM’, the width of the histogram bin. If None it will be obtained from the Py-ART config file
quantiles: list of float or None
If the plot type is ‘QUANTILES’, the list of quantiles to compute. If None a default list of quantiles will be computed
vmin, vmax: float or None
The minimum and maximum values of the color scale. If None the scale is going to be set according to the Py-ART config file
‘PPI_MAP’: Plots a PPI image over a map. The map resolution and the

type of maps used are defined in the variables ‘mapres’ and ‘maps’ in ‘ppiMapImageConfig’ in the loc config file. User defined parameters:

anglenr: float
The elevation angle number
‘PPIMAP_ROI_OVERPLOT’: Over plots a polygon delimiting a region of

interest on a PPI map. The map resolution and the type of maps used are defined in the variables ‘mapres’ and ‘maps’ in ‘ppiMapImageConfig’ in the loc config file. User defined parameters:

anglenr: float
The elevation angle number
‘PROFILE_STATS’: Computes and plots a vertical profile statistics.

The statistics are saved in a csv file User defined parameters:

heightResolution: float
The height resolution of the profile [m]. Default 100.
heightMin, heightMax: float or None
The minimum and maximum altitude of the profile [m MSL]. If None the values will be obtained from the minimum and maximum gate altitude.
quantity: str
The type of statistics to plot. Can be ‘quantiles’, ‘mode’, ‘reqgression_mean’ or ‘mean’.
quantiles: list of floats
If quantity type is ‘quantiles’ the list of quantiles to compute. Default 25., 50., 75.
nvalid_min: int
The minimum number of valid points to consider the statistic valid. Default 4
make_linear: Bool
If true the data is converted from log to linear before computing the stats
include_nans: Bool
If true NaN values are included in the statistics
fixed_span: Bool
If true the profile plot has a fix X-axis
vmin, vmax: float or None
If fixed_span is set, the minimum and maximum values of the X-axis. If None, they are obtained from the Py-ART config file
‘PSEUDOPPI_CONTOUR’: Plots a pseudo-PPI countour plot
User defined parameters:
contour_values: list of floats or None
The list of contour values to plot. If None the contour values are going to be obtained from the Py-ART config file either with the dictionary key ‘contour_values’ or from the minimum and maximum values of the field with an assumed division of 10 levels.
angle: float
The elevation angle at which compute the PPI
EleTol: float
The tolerance between the actual radar elevation angle and the nominal pseudo-PPI elevation angle.
‘PSEUDOPPI_CONTOUR_OVERPLOT’: Plots a pseudo-PPI of a field with

another field over-plotted as a contour plot User defined parameters:

contour_values: list of floats or None
The list of contour values to plot. If None the contour values are going to be obtained from the Py-ART config file either with the dictionary key ‘contour_values’ or from the minimum and maximum values of the field with an assumed division of 10 levels.
angle: float
The elevation angle at which compute the PPI
EleTol: float
The tolerance between the actual radar elevation angle and the nominal pseudo-PPI elevation angle.
‘PSEUDOPPI_IMAGE’: Plots a pseudo-PPI image. It can also plot the

histogram and the quantiles of the data in the pseudo-PPI. User defined parameters:

angle: float
The elevation angle of the pseudo-PPI
EleTol: float
The tolerance between the actual radar elevation angle and the nominal pseudo-PPI elevation angle.
plot_type: str
The type of plot to perform. Can be ‘PPI’, ‘QUANTILES’ or ‘HISTOGRAM’
step: float or None
If the plot type is ‘HISTOGRAM’, the width of the histogram bin. If None it will be obtained from the Py-ART config file
quantiles: list of float or None
If the plot type is ‘QUANTILES’, the list of quantiles to compute. If None a default list of quantiles will be computed
vmin, vmax : float or None
Min and Max values of the color scale. If None the values are taken from the Py-ART config file
‘PSEUDOPPI_MAP’: Plots a pseudo-PPI image over a map. The map

resolution and the type of maps used are defined in the variables ‘mapres’ and ‘maps’ in ‘ppiMapImageConfig’ in the loc config file. User defined parameters:

angle: float
The elevation angle of the pseudo-PPI
EleTol: float
The tolerance between the actual radar elevation angle and the nominal pseudo-PPI elevation angle.
‘PSEUDORHI_CONTOUR’: Plots a pseudo-RHI countour plot
User defined parameters:
contour_values: list of floats or None
The list of contour values to plot. If None the contour values are going to be obtained from the Py-ART config file either with the dictionary key ‘contour_values’ or from the minimum and maximum values of the field with an assumed division of 10 levels.
angle: float
The azimuth angle at which to compute the RPI
AziTol: float
The tolerance between the actual radar azimuth angle and the nominal pseudo-RHI azimuth angle.
‘PSEUDORHI_CONTOUR_OVERPLOT’: Plots a pseudo-RHI of a field with

another field over-plotted as a contour plot User defined parameters:

contour_values: list of floats or None
The list of contour values to plot. If None the contour values are going to be obtained from the Py-ART config file either with the dictionary key ‘contour_values’ or from the minimum and maximum values of the field with an assumed division of 10 levels.
angle: float
The azimuth angle at which to compute the RPI
AziTol: float
The tolerance between the actual radar azimuth angle and the nominal pseudo-RHI azimuth angle.
‘PSEUDORHI_IMAGE’: Plots a pseudo-RHI image. It can also plot the

histogram and the quantiles of the data in the pseudo-RHI. User defined parameters:

angle: float
The azimuth angle at which to compute the RPI
AziTol: float
The tolerance between the actual radar azimuth angle and the nominal pseudo-RHI azimuth angle.
plot_type: str
The type of plot to perform. Can be ‘RHI’, ‘QUANTILES’ or ‘HISTOGRAM’
step: float or None
If the plot type is ‘HISTOGRAM’, the width of the histogram bin. If None it will be obtained from the Py-ART config file
quantiles: list of float or None
If the plot type is ‘QUANTILES’, the list of quantiles to compute. If None a default list of quantiles will be computed
vmin, vmax : float or None
Min and Max values of the color scale. If None the values are taken from the Py-ART config file
‘QUANTILES’: Plots and writes the quantiles of a radar volume
User defined parameters:
quantiles: list of floats or None
the list of quantiles to compute. If None a default list of quantiles will be computed.
write_data: Bool
If True the computed data will be also written in a csv file
fixed_span: Bool
If true the quantile plot has a fix Y-axis
vmin, vmax: float or None
If fixed_span is set, the minimum and maximum values of the Y-axis. If None, they are obtained from the Py-ART config file
‘RHI_CONTOUR’: Plots an RHI countour plot
User defined parameters:
contour_values: list of floats or None
The list of contour values to plot. If None the contour values are going to be obtained from the Py-ART config file either with the dictionary key ‘contour_values’ or from the minimum and maximum values of the field with an assumed division of 10 levels.
anglenr: int
The azimuth angle number
‘RHI_CONTOUR_OVERPLOT’: Plots an RHI of a field with another field

over-plotted as a contour plot User defined parameters:

contour_values: list of floats or None
The list of contour values to plot. If None the contour values are going to be obtained from the Py-ART config file either with the dictionary key ‘contour_values’ or from the minimum and maximum values of the field with an assumed division of 10 levels.
anglenr: int
The azimuth angle number
‘RHI_IMAGE’: Plots an RHI image. It can also plot the

histogram and the quantiles of the data in the RHI. User defined parameters:

anglenr: int
The azimuth angle number
plot_type: str
The type of plot to perform. Can be ‘RHI’, ‘QUANTILES’ or ‘HISTOGRAM’
step: float or None
If the plot type is ‘HISTOGRAM’, the width of the histogram bin. If None it will be obtained from the Py-ART config file
quantiles: list of float or None
If the plot type is ‘QUANTILES’, the list of quantiles to compute. If None a default list of quantiles will be computed
vmin, vmax: float or None
The minimum and maximum values of the color scale. If None the scale is going to be set according to the Py-ART config file
‘RHI_PROFILE’: Computes and plots a vertical profile statistics out of

an RHI. The statistics are saved in a csv file User defined parameters:

rangeStart, rangeStop: float
The range start and stop of the data to extract from the RHI to compute the statistics [m]. Default 0., 25000.
heightResolution: float
The height resolution of the profile [m]. Default 100.
heightMin, heightMax: float or None
The minimum and maximum altitude of the profile [m MSL]. If None the values will be obtained from the minimum and maximum gate altitude.
quantity: str
The type of statistics to plot. Can be ‘quantiles’, ‘mode’, ‘reqgression_mean’ or ‘mean’.
quantiles: list of floats
If quantity type is ‘quantiles’ the list of quantiles to compute. Default 25., 50., 75.
nvalid_min: int
The minimum number of valid points to consider the statistic valid. Default 4
make_linear: Bool
If true the data is converted from log to linear before computing the stats
include_nans: Bool
If true NaN values are included in the statistics
fixed_span: Bool
If true the profile plot has a fix X-axis
vmin, vmax: float or None
If fixed_span is set, the minimum and maximum values of the X-axis. If None, they are obtained from the Py-ART config file
‘SAVEALL’: Saves radar volume data including all or a list of user-

defined fields in a C/F radial or ODIM file User defined parameters:

file_type: str
The type of file used to save the data. Can be ‘nc’ or ‘h5’. Default ‘nc’
datatypes: list of str or None
The list of data types to save. If it is None, all fields in the radar object will be saved
physical: Bool
If True the data will be saved in physical units (floats). Otherwise it will be quantized and saved as binary
compression: str
For ODIM file formats, the type of compression. Can be any of the allowed compression types for hdf5 files. Default gzip
compression_opts: any
The compression options allowed by the hdf5. Depends on the type of compression. Default 6 (The gzip compression level).
‘SAVESTATE’: Saves the last processed data in a file. Used for real-
time data processing
‘SAVEVOL’: Saves one field of a radar volume data in a C/F radial or

ODIM file User defined parameters:

file_type: str
The type of file used to save the data. Can be ‘nc’ or ‘h5’. Default ‘nc’
physical: Bool
If True the data will be saved in physical units (floats). Otherwise it will be quantized and saved as binary
compression: str
For ODIM file formats, the type of compression. Can be any of the allowed compression types for hdf5 files. Default gzip
compression_opts: any
The compression options allowed by the hdf5. Depends on the type of compression. Default 6 (The gzip compression level).
‘SAVE_FIXED_ANGLE’: Saves the position of the first fix angle in a
csv file
‘SELFCONSISTENCY’: Plots a ZDR versus KDP/ZH histogram of data.
User defined parameters:
retrieve_relation : bool
If True plots also the retrieved relationship. Default True
plot_theoretical : bool
If True plots also the theoretical relationship. Default True
normalize : bool
If True the occurrence density of ZK/KDP for each ZDR bin is going to be represented. Otherwise it will show the number of gates at each bin. Default True
‘SELFCONSISTENCY2’: Plots a ZH measured versus ZH inferred from a self-consistency

relation histogram of data. User defined parameters:

normalize : bool
If True the occurrence density of ZK/KDP for each ZDR bin is going to be represented. Otherwise it will show the number of gates at each bin. Default True
‘TIME_RANGE’: Plots a time-range/azimuth/elevation plot
User defined parameters:
anglenr: float
The number of the fixed angle to plot
vmin, vmax: float or None
The minimum and maximum values of the color scale. If None the scale is going to be set according to the Py-ART config file
‘VOL_TS’: Writes and plots a value corresponding to a time series.

Meant primarily for writing and plotting the results of the SELFCONSISTENCY2 algorithm User defined parameters:

ref_value: float
The reference value. Default 0
sort_by_date: Bool
If true when reading the csv file containing the statistics the data is sorted by date. Default False
rewrite: Bool
If true the csv file containing the statistics is rewritten
add_data_in_fname: Bool
If true and the data used is cumulative the year is written in the csv file name and the plot file name
npoints_min: int
Minimum number of points to use the data point in the plotting and to send an alarm. Default 0
vmin, vmax: float or None
Limits of the Y-axis (data value). If None the limits are obtained from the Py-ART config file
alarm: Bool
If true an alarm is sent
tol_abs: float
Margin of tolerance from the reference value. If the current value is above this margin an alarm is sent. If the margin is not specified it is not possible to send any alarm
tol_trend: float
Margin of tolerance from the reference value. If the trend of the last X events is above this margin an alarm is sent. If the margin is not specified it is not possible to send any alarm
nevents_min: int
Minimum number of events with sufficient points to send an alarm related to the trend. If not specified it is not possible to send any alarm
sender: str
The mail of the alarm sender. If not specified it is not possible to send any alarm
receiver_list: list of str
The list of emails of the people that will receive the alarm.. If not specified it is not possible to send any alarm
‘WIND_PROFILE’: Plots vertical profile of wind data (U, V, W

components and wind velocity and direction) out of a radar volume containing the retrieved U,V and W components of the wind, the standard deviation of the retrieval and the velocity difference between the estimated radial velocity (assuming the wind to be uniform) and the actual measured radial velocity. User defined parameters:

heightResolution: float
The height resolution of the profile [m]. Default 100.
heightMin, heightMax: float or None
The minimum and maximum altitude of the profile [m MSL]. If None the values will be obtained from the minimum and maximum gate altitude.
min_ele: float
The minimum elevation to be used in the computation of the vertical velocities. Default 5.
max_ele: float
The maximum elevation to be used in the computation of the horizontal velocities. Default 85.
fixed_span: Bool
If true the profile plot has a fix X-axis
vmin, vmax: float or None
If fixed_span is set, the minimum and maximum values of the X-axis. If None, they are obtained from the span of the U component defined in the Py-ART config file
Parameters:
dataset : dict

dictionary with key radar_out containing a radar object

prdcfg : dictionary of dictionaries

product configuration dictionary of dictionaries
Returns:
The list of created fields or None
pyrad.prod.get_prodgen_func(dsformat, dsname, dstype)[source]

maps the dataset format into its processing function

Parameters:
dsformat : str

dataset group. The following is a list of dataset groups with the function that is called to generate their products. For details about what the functions do check the function documentation:

‘VOL’: generate_vol_products ‘COLOCATED_GATES’: generate_colocated_gates_products ‘COSMO_COORD’: generate_cosmo_coord_products ‘COSMO2RADAR’: generate_cosmo_to_radar_products ‘GRID’: generate_grid_products ‘SPECTRA’: generate_spectra_products ‘GRID_TIMEAVG’: generate_grid_time_avg_products ‘INTERCOMP’: generate_intercomp_products ‘ML’: generate_ml_products ‘MONITORING’: generate_monitoring_products ‘OCCURRENCE’: generate_occurrence_products ‘QVP’: generate_qvp_products ‘SPARSE_GRID’: generate_sparse_grid_products ‘SUN_HITS’: generate_sun_hits_products ‘TIMEAVG’: generate_time_avg_products ‘TIMESERIES’: generate_timeseries_products ‘TRAJ_ONLY’: generate_traj_product
Returns:
func : function

pyrad function used to generate the products