Blended and Reconstructed Oceanic Monthly Cloudiness Estimates
d292003
Monthly cloudiness estimates are produced by blending satellite estimates from the International Satellite Cloud Climatology Project (ISCCP) with in situ estimates from the International Comprehensive Ocean Atmosphere Data Set (ICOADS). The monthly estimates are on a 2.5 degree spatial grid giving total cloud cover in oktas (0-8) for 1983-2008. The spatially complete blended estimate is then used to form reconstruction statistics for a longer time period. Using those statistics, the ICOADS historical cloudiness data is used to form a 5 degree global ocean total cloudiness reconstruction for 1900-2010.
dataset
https://rda.ucar.edu/datasets/d292003/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d292003/dataaccess/
protocol: https
applicationProfile: browser
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
SATELLITES > SATELLITES
revision
2024-07-23
ICOADS > International Comprehensive Ocean Atmosphere Data Set
ISCCP > International Satellite Cloud Climatology Project
revision
2024-07-24
EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY
revision
2024-07-24
-180
180
90
-90
1900
2010
publication
2011-10-25
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.
720-937-8442
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
2024-08-04T02:10:54Z