May's Global Surface Temperature Climate Analyses, daily 1979-1989Jun
d513000
This dataset contains ensemble means and standard deviations computed for daily temperature minimum and maximum, daily mean temperature and the difference between the daily minimum and maximum for 3,905 global land stations. Both smoothed and unsmoothed means and standard deviations are computed using data from the period January, 1979 through June, 1989. Data is also available on a 2.5 degree latitude-longitude grid. Fields available on these grids include monthly mean daily minimum, maximum and mean temperature and the temperature difference. Annual mean daily minimum, maximum and mean temperatures are also available on the 2.5 degree grid. Several other statistical quantities are also available on this grid. Please see NCAR technical report titled "The Annual Variation of Surface Temperature over the World" for more information about the data available in this dataset.
dataset
https://rda.ucar.edu/datasets/d513000/
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applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d513000/dataaccess/
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climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
WEATHER STATIONS > WEATHER STATIONS
FIXED OBSERVATION STATIONS > FIXED OBSERVATION STATIONS
GROUND STATIONS > GROUND STATIONS
METEOROLOGICAL STATIONS > METEOROLOGICAL STATIONS
GRIDDING METHODS
revision
2024-07-23
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE
revision
2024-07-24
-180
180
90
-90
1979-01
1989-06
publication
1992-07-08
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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pointOfContact
2024-08-04T02:11:10Z