pyart.util.column_vertical_profile#
- pyart.util.column_vertical_profile(radar, latitude, longitude, azimuth_spread=3, spatial_spread=3)[source]#
Given the location (in latitude, longitude) of a target, return the rays that correspond to radar column above the target, allowing for user defined range of azimuths and range gates to be included within this extraction.
- Parameters:
radar (pyart.core.Radar Object) – Py-ART Radar Object from which distance to the target, along with gates above the target, will be calculated.
latitude (float, [degrees]) – Latitude, in degrees North, of the target.
longitude (float, [degrees]) – Longitude, in degrees East, of the target.
azimuth_spread (int) – Number of azimuth angles to include within extraction list
spatial_range (int) – Number of range gates to include within the extraction
Function Calls
————–
sphere_distance
for_azimuth
get_sweep_rays
subset_fields
assemble_column
- Returns:
column (xarray) – Xarray Dataset containing the radar column above the target for the various fields within the radar object.
References
Murphy, A. M., A. Ryzhkov, and P. Zhang, 2020: Columnar Vertical Profile (CVP) Methodology for Validating Polarimetric Radar Retrievals in Ice Using In Situ Aircraft Measurements. J. Atmos. Oceanic Technol., 37, 1623–1642, https://doi.org/10.1175/JTECH-D-20-0011.1.
Bukovčić, P., A. Ryzhkov, and D. Zrnić, 2020: Polarimetric Relations for Snow Estimation—Radar Verification. J. Appl. Meteor. Climatol., 59, 991–1009, https://doi.org/10.1175/JAMC-D-19-0140.1.