pyrad.prod.generate_vol_products

pyrad.prod.generate_vol_products(dataset, prdcfg)

Generates radar volume products. Accepted product types:

‘ANTENNA_POS’: Plots time series of the antenna position with respect

to elevation or azimuth User defined parameters:

dpi: float

dpi of the plot

datatype: str

type of data to plot. Can be AZ or EL

‘CDF’: plots and writes the cumulative density function of data

User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

anglenrint

The elevation angle number to use

ray_dimstr

the ray dimension. Can be ‘ang’ or ‘time’. Default ‘ang’

xaxis_rngbool

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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.

‘CROSS_SECTION’Plots a cross-section of polar data through

arbitrary coordinates User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

coord1, coord2, …, coordN: dict

The two lat-lon coordinates marking the limits. They have the keywords ‘lat’ and ‘lon’ [degree].

stepint

Step in meters to use between reference points to calculate the cross-section (i.e horizontal resolution).

vert_resint

Vertical resolution in meters used to calculate the cross-section

alt_maxint

Maximum altitude of the vertical cross-section

beamwidthfloat

3dB beamwidth in degrees to be used in the calculations, if not provided will be read from the loc file

demfilestr

Name of the DEM file to use to plot the topography, it must be in the dempath specified in the main config file

‘FIELD_COVERAGE’: Gets the field coverage over a certain sector

User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

AngTolfloat

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, vmaxfloat 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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

AngTolfloat

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

statstr

The statistic to compute. Can be ‘min’, ‘max’, ‘mean’, ‘mode’. Default ‘max’

‘HISTOGRAM’: Computes a histogram of the radar volume data

User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

colors: list of str or None

The colors of each ploted line

data_on_ybool

If True the x-axis is the coordinates, and the y the data values. False swaps the axis. Default True

plot_legendbool

If True a legend will be plotted. Default True

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.

use_altitudebool

If true and in ALON_RNG mode the coordinate used is the gate altitude. Otherwise is the range. Default False

‘PLOT_TXH’: Plots the transmitted signal power (H) for a standard

sunscan.

‘PPI_CONTOUR’: Plots a PPI countour plot

User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

anglenr: float

The elevation angle number

plot_type: str

The type of plot to perform. Can be ‘PPI’, ‘QUANTILES’ or ‘HISTOGRAM’

write_data: Bool

If True the histrogram will be also written in a csv file

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

anglenr: float

The elevation angle number

vmin, vmaxfloat or None

Min and Max values of the color scale. If None the values are taken from the Py-ART config file

‘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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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, vmaxfloat 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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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.

vmin, vmaxfloat or None

Min and Max values of the color scale. If None the values are taken from the Py-ART config file

‘PSEUDORHI_CONTOUR’: Plots a pseudo-RHI countour plot

User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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, vmaxfloat 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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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

‘SAMPLES_HISTOGRAM’: Computes a histogram of the number of samples used

User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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

‘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).

‘SAVEALL_VOL’Same as before but can be used in a mixed GRID/VOL

dataset, as there is no ambiguity with SAVEALL for VOL datasets

‘SAVESTATE’: Saves the last processed data in a file. Used for real-

time data processing

‘SAVEPSEUDORHI’: Saves one field of a pseudo-RHI computed from a

volume scan in 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).

‘SAVEPSEUDOPPI’: Saves one field of a pseudo-PPI computed from a

volume scan in 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).

‘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. Default True

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).

‘SAVEVOL_CSV’: Saves one field of a radar volume data in a CSV file

User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

ignore_masked: bool

If True masked values will not be saved. Default False

‘SAVEVOL_KML’: Saves one field of a radar volume data in a KML file

User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

ignore_masked: bool

If True masked values will not be saved. Default False

azi_resfloat or None

azimuthal resolution of the range bins. If None the antenna beamwidth is going to be used to determine the resolution

‘SAVEVOL_VOL’Same as before but can be used in a mixed GRID/VOL

dataset, as there is no ambiguity with SAVEVOL for GRID datasets

‘SAVE_FIXED_ANGLE’: Saves the position of the first fix angle in a csv file

User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

‘SELFCONSISTENCY’: Plots a ZDR versus KDP/ZH histogram of data.

User defined parameters:

retrieve_relationbool

If True plots also the retrieved relationship. Default True

plot_theoreticalbool

If True plots also the theoretical relationship. Default True

normalizebool

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:

normalizebool

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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:

voltype: name of the pyrad variable to use, it must be available

in the dataset

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

‘WRITE_STATS’: write statistics about the average of a field within a certain

sector (mean, median, stddev, nsamples, nvalid) and optionally min, max and additional quantiles User defined parameters:

voltype: name of the pyrad variable to use, it must be available

in the dataset

ele_min: float

Max elevation angle defining the sector [deg]. Default 0.

ele_max: float

Max elevation angle defining the sector [deg]. Default 90.

azi_min: float

Min azimuth angle defining the sector [deg]. Default 0.

azi_max: float

Max azimuth angle defining the sector [deg]. Default 360.

rmin: float

Min range defining the sector [km]. Default 0.

rmax: float

Max range defining the sector [km]. Default 50.

write_min_max: Bool

If true will also write min and max values within sector

quantiles: list of int

Additional quantiles (apart from median) to compute within the sector and write to 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