GEWEX NASA Water Vapor Project (NVAP)
d722000
A five year (1988-1992) total and layered global water vapor data set on 1 degree by 1 degree grids. This set is derived from radiosonde observations, TOVS and SSMI data. Precipitable water content (PWC), layered PWC and cloud liquid water path (LWP) are the main products with supplemental products of each data source. The cloud LWP is over global oceans only. Daily, monthly, yearly and 5-day averaged grids are available.
dataset
https://gdex.ucar.edu/datasets/d722000/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://gdex.ucar.edu/datasets/d722000/dataaccess/
protocol: https
applicationProfile: browser
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
GRIDDING METHODS
revision
2025-09-19
GEWEX > Global Energy and Water Cycle Experiment
revision
2025-09-19
EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > TOTAL PRECIPITABLE WATER
EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD MICROPHYSICS > CLOUD LIQUID WATER/ICE
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > LIQUID WATER EQUIVALENT
revision
2025-09-19
1988-01-01T00:00:00Z
1992-12-31T23:00:00Z
publication
1995-10-11
notPlanned
Creative Commons Attribution 4.0 International License
None
NSF NCAR - Geoscience Data Exchange
National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
(303)-497-1833
303-497-1291
pointOfContact
NSF NCAR Geoscience Data Exchange
NSF National Center for Atmospheric Research
CISL/DECS
P.O. Box 3000
Boulder
80307
U.S.A.
303-497-1291
name: NSF NCAR Geoscience Data Exchange
description: The NSF NCAR Geoscience Data Exchange - Integrated Research Data Commons (GDEX) contains an extensive collection of meteorological, atmospheric composition, and oceanographic observations and model outputs to support Earth System Science research. GDEX supports "data proximate" computational research through its integration with NSF NCAR High Performance Compute services [https://arc.ucar.edu/resources], which are made accessible to US researchers through a range of allocations opportunities [https://arc.ucar.edu/xras_submit/opportunities].
function: downlaod
pointOfContact
2025-10-03T01:38:09Z