Manually-Digitized Radar Data for the Conterminous United States
d840001
The former Techniques Development Laboratory (TDL) of the U.S. National Weather Service began collecting Manually-Digitized Radar (MDR) data in November 1973 from teletype reports for the eastern two-thirds of the United States. In 1978, TDL began archiving the MDR on a new grid aligned with the output grid of the Limited Fine Mesh (LFM) model, which was the model used for numerical weather prediction at the time. The new MDR archive covered the entire conterminous United States. As with the old MDR data, the new data were archived in Model Output Statistics (MOS) predictand format to support thunderstorm prediction. In addition to the "raw" MDR data, TDL also created a gridded 20-nautical-mile-resolution MDR product.
dataset
https://rda.ucar.edu/datasets/d840001/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d840001/dataaccess/
protocol: https
applicationProfile: browser
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
WEATHER STATIONS > WEATHER STATIONS
revision
2024-07-23
WEATHER RADARS
revision
2024-06-28
EARTH SCIENCE > SPECTRAL/ENGINEERING > RADAR > RADAR REFLECTIVITY
revision
2024-07-24
1978-03-02T00:00:00Z
1994-12-31T22:00:00Z
publication
1983-07-11
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.
function: downlaod
pointOfContact
2024-08-04T02:11:46Z