Terrestrial Water Budget Data Archive
d237000
The dataset authors have created a terrestrial water budget data archive on a 1-degree grid. They identified 13332 global stations with complete records and created 30-year (1950-1979) climatological means for each month of the year for air temperature, precipitation, evaporation, soil moisture, and snow cover. These monthly climatological means were then interpolated to the 1-degree gridpoints. This data set contains both the gridpoint individual station data.
dataset
https://rda.ucar.edu/datasets/d237000/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d237000/dataaccess/
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applicationProfile: browser
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
GRIDDING METHODS
revision
2024-07-23
EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SNOW/ICE > SNOW DEPTH
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR PROCESSES > EVAPORATION
EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE
revision
2024-07-24
-180
180
90
-90
1979-02-01T00:00:00Z
1980-01-01T00:00:00Z
publication
1990-09-11
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
2024-08-04T02:10:49Z