International Satellite Cloud Climatology Project (ISCCP) Stage D1 3-Hourly Cloud Products - Revised Algorithm in Hierarchical Data Format

Description

ISCCP_D1_1 is the International Satellite Cloud Climatology Project (ISCCP) Stage D1 3-Hourly Cloud Products - Revised Algorithm data set in Hierarchical Data Format. This data set contains 3-hourly, 280 KM equal-area grid data from various polar and geostationary satellites. The Gridded Cloud Product contents are spatial averages of DX quantities and statistical summaries, including properties of cloud types. Satellites are merged into a global grid. Atmosphere and surface properties from TOVS are appended. Data collection for this data set is complete.

ISCCP, the first project of the World Climate Research Program (WCRP), was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983) to: produce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived; stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models; and promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle.

Starting in 1983 an international group of institutions collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and interannual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onward) the analysis also concerns improving understanding of clouds in the global hydrological cycle.

The ISCCP analysis combined satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985), Rossow et al. 1987) with the TOVS atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determined the presence of absence of clouds in each individual image pixel and retrieves the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis was performed separately for each satellite radiance data set and the results were reported in the Stage DX data product, which had a nominal resolution of 30 km and 3 hours. The Stage D1 product was produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product was produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.

Resources

Name Format Description Link
View this dataset's data citation policy HTML How to cite ASDC data Open resource
Download this dataset HTML ASDC Direct Data Download for ISCCP_D1_1 Open resource
View documentation related to this dataset PDF ISCCP D1 and D2 Langley Data Center Data Set Document Open resource
View documentation related to this dataset PDF ISCCP Project/Campaign Document for the Langley DAAC Open resource
View this dataset's read me document HTML ISCCP D1 Data Set Readme Open resource
View this dataset's science data product software documentation HTML Readme to read ISCCP D1 HDF Formatted Data Files - Direct File Download (.c) Open resource
View this dataset's how-to documentation HTML Program to read D1 HDF format files produced by ISCCP - Direct File Download (.f) Open resource
View documentation related to this dataset HTML ASDC Data and Information for ISCCP Open resource
View the primary investigator's documentation for this dataset HTML EOS Aura Science Team Meeting AGENDA, August 27 - August 29, 2019 Pasadena CA, USA Open resource
View documentation related to this dataset HTML NCAR UCAR Climate Data Guide Open resource
This dataset's landing page HTML DOI data set landing page for ISCCP_D1_1 Open resource
View a micro article on this dataset HTML Earth Observing System Data and Information System (EOSDIS) Article: Global Cloud Process Studies in the Context of Decadal Climate Variability: Enhancement and Continuation of Data Analysis for the International Satellite Cloud Climatology Project (ISCCP) Open resource
View a micro article on this dataset HTML Earth Observing System Data and Information System (EOSDIS) Article: "But the winds... but the spaces" By Annette Varani Open resource
View a micro article on this dataset HTML NASA Earth Observatory Article: Shadows of Doubt - Monitoring Cloud Effects Open resource
View a micro article on this dataset HTML NASA Earth Observatory Article: Stars, Clouds, Crops Open resource
The dataset's project home page HTML ISCCP project home page Open resource
View this dataset's publications HTML Publications for ISCCP Open resource
View this dataset's documented anomalies HTML ISCCP Known and Fixed Errors in Data Products Open resource
View the documentation for this dataset's algorithms HTML ISCCP New Algorithm: Summary of Changes Open resource
View this dataset's production history HTML ISCCP Data Products List Open resource
Use OPeNDAP to access the dataset's data HTML OPeNDAP data access for ISCCP_D1_1 Open resource
Google Scholar search results HTML Search results for publications that cite this dataset by its DOI. Open resource
Download this dataset through Earthdata Search HTML Earthdata Search for ISCCP_D1_1 (NASA Application to search, discover, visualize, refine, and access NASA Earth Observation data) Open resource
Use this dataset in a web based map viewerf HTML Goddard's Panoply - plots geo-gridded data from netCDF, HDF, GRIB datasets. Open resource

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