GridRad-Severe - Three-Dimensional Gridded NEXRAD WSR-88D Radar Data for Severe Events
d841006
5-minute event-based volumes of radar reflectivity, differential reflectivity, specific differential phase, correlation coefficient, velocity spectrum width, azimuthal shear, and radial divergence data. This data encompasses ~100 of the most severe events in the US each year based on tornadoes, hail, and wind from 2010 to the Present, with domains that vary to encompass each event. The storm track data are included for each of the events. Data for 2010-2012 do not include differential reflectivity, specific differential phase, and correlation coefficient, which are only observed following the dual-polarization upgrade to the NEXRAD network that was completed in early 2013.
dataset
https://rda.ucar.edu/datasets/d841006/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d841006/dataaccess/
protocol: https
applicationProfile: browser
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
OBSERVATION BASED > OBSERVATION BASED ANALYSES
revision
2024-09-06
NEXRAD > NEXt Generation RADar
revision
2024-09-06
EARTH SCIENCE > SPECTRAL/ENGINEERING > RADAR > RADAR REFLECTIVITY
EARTH SCIENCE > SPECTRAL/ENGINEERING > RADAR > RADIAL VELOCITY
EARTH SCIENCE > SPECTRAL/ENGINEERING > RADAR > SPECTRUM WIDTH
revision
2024-09-06
-124.99
-66.01
49.99
24.01
2010-01-21T00:00:00Z
2023-12-11T23:55:00Z
publication
2021-10-19
irregular
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)-497-1833
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.
function: downlaod
pointOfContact
2024-09-11T02:05:02Z