NASA International Satellite Cloud Climatology Project (ISCCP) C2, 1983-1991
d742001
Monthly averages for each 3-hour period during a day, and monthly average for all data. News as of August 23, 1993: ISCCP Global Processing Center is changing the algorithm for cloud detection. The "old" algorithm which was used to generate C1 and C2 products so far will be replaced by the "new" algorithm. The new algorithm will improve the cloud detection in the polar regions. The production of "C" level products of the current and previous months will progress in parallel. It is expected to have 10-year (July 1983 to June 1994) ISCCP C products in Fall 1995. The C1 and C2 products using the "old" algorithm stops at the end of June 1991. Again, if you are interested in areas other than the polar regions (cutoff at about 55 latitude), little change of the cloudiness caused by using the new algorithm is expected.
dataset
https://rda.ucar.edu/datasets/d742001/
protocol: https
applicationProfile: browser
name: Dataset Description
description: Related Link
function: information
https://rda.ucar.edu/datasets/d742001/dataaccess/
protocol: https
applicationProfile: browser
name: Data Access
description: Related Link
function: download
climatologyMeteorologyAtmosphere
dataset
revision
2014-10-16
GRIDDING METHODS
revision
2024-07-23
ISCCP > International Satellite Cloud Climatology Project
revision
2024-07-24
EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY
revision
2024-07-24
1983-07-01
1990-06-30
publication
1991-04-02
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)-497-1833
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
2024-08-04T02:11:40Z