GATE Radar Reflectivity Data from the Canadian Ship Quadra
d845002
The C-band radar aboard the Canadian ship C.C.G.S. Quadra collected reflectivity data at 1 degree by 1 km resolution at various antenna tilt angles. A single 360-degree scan at a fixed tilt angle took approximately 20 seconds to complete. A Digital Video Integrator and Processor (DVIP) converted the analog reflectivities to 8-bit digital values. The center of the first gate was 10.5 km from the radar, with equivalent reflectivities recorded for 200 gates in the radial direction. NCAR received the binary-format Quadra radar data on half-inch magnetic tapes from the Radar Weather Observatory at McGill University in April 1977. The raw reflectivity data were converted to netCDF format in 2024, and additionally, netCDF files containing full scans (sweeps) at each tilt angle are planned for later 2024, with equivalent reflectivity values converted to dBZ.
dataset
https://rda.ucar.edu/datasets/d845002/
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oceans
dataset
revision
2014-10-16
MOVING SHIPS
Ships
revision
2024-07-23
C-BAND RADAR > C-Band Imaging Radar
revision
2024-06-28
GATE > GARP Atlantic Tropical Experiment
revision
2024-07-24
EARTH SCIENCE > SPECTRAL/ENGINEERING > RADAR > RADAR REFLECTIVITY
revision
2024-07-24
1974-06-28
1974-09-19
publication
1980-11-04
notPlanned
Creative Commons Attribution 4.0 International License
None
UCAR/NCAR - Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
(303)-497-1825
303-497-1291
pointOfContact
NCAR Research Data Archive
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NCAR Research Data Archive
description: The Research Data Archive (RDA), managed by the Data Engineering and Curation Section (DECS) of the Computational and Information Systems Laboratory (CISL) at NCAR, contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research, along with ancillary datasets, such as topography/bathymetry, vegetation, and land use.
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2024-08-04T02:12:05Z