Cloud Properties from ISCCP and PATMOS-x Corrected for Spurious Variability Related to Changes in Satellite Orbits, Instrument Calibrations, and Other Factors
d741005
<p>A post hoc empirical correction procedure has been applied to grid box anomalies in total cloud amount from the International Satellite Cloud Climatology Project (ISCCP) dataset and the Pathfinder Atmospheres - Extended (PATMOS-x) dataset to remove spurious variability related to changes in satellite orbit, instrument calibration, and other factors. The corrected satellite cloud datasets are useful for investigation of regional cloud changes but can not be used for studies of globally averaged cloud change because the methods employed remove any real cloud variability occurring on global scales together with spurious variability. Also note that the correction procedure does not remove spatial biases in climatological mean cloud properties. The available corrected data include monthly anomalies in total cloud amount on a 2.5 degree by 2.5 degree grid for the time period 1983-2009 (the first six months of 1983 are not available for ISCCP). No data are available poleward of 60 degree latitude due to difficulty in accurately retrieving cloud properties over cold, bright surfaces.</p>
dataset
https://gdex.ucar.edu/datasets/d741005/
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description: Related Link
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https://gdex.ucar.edu/datasets/d741005/dataaccess/
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climatologyMeteorologyAtmosphere
dataset
revision
2021-03-30
SATELLITES > SATELLITES
revision
2025-10-17
EARTH SCIENCE > ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY
revision
2025-10-17
-180.0
180.0
90.0
-90.0
1983-01-15T1200+00
2009-12-15T1200+00
publication
2015-02-02
notPlanned
Creative Commons Attribution 4.0 International License
None
pointOfContact
NSF NCAR Geoscience Data Exchange
name: NSF NCAR Geoscience Data Exchange
description: The Geoscience Data Exchange (GDEX), managed by the Computational and Information Systems Laboratory (CISL) at NSF NCAR, contains a large collection of meteorological, atmospheric composition, and oceanographic observations, and operational and reanalysis model outputs, integrated with NSF NCAR High Performance Compute services to support atmospheric and geosciences research.
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2025-10-22T20:18:39Z