NCDC's TD3720 USSR Monthly Precipitation For 622 Stations 1891-1999
d577005
"The archive contains mean monthly precipitation data for the period 1891-1999 for 622 stations of the former Soviet Union and a set of metadata files that is essential for the use of these data in climate change studies.", quoted from the NCDC abstract. "This dataset includes all the monthly precipitation data in the [ds564.0] NCDC Global Historical Climate Network [http://rda.ucar.edu/datasets/ds564.0/] and more, and has corrections for wind, wetting, and gauge type.", quoted from for NSIDC documentation for ds488.0 [http://rda.ucar.edu/datasets/ds488.0/#!docs]
dataset
https://rda.ucar.edu/datasets/d577005/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d577005/dataaccess/
protocol: https
applicationProfile: browser
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
WEATHER STATIONS > WEATHER STATIONS
FIXED OBSERVATION STATIONS > FIXED OBSERVATION STATIONS
GROUND STATIONS > GROUND STATIONS
revision
2024-07-23
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT
revision
2024-07-24
1891
1999
publication
2007-01-10
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
2024-08-04T02:11:16Z