11 datasets

NASA Earthdata CMR + NASA Data Portal2002 · Astronomical catalogue

ISCCP_DX_1 is the International Satellite Cloud Climatology Project (ISCCP) Stage DX Pixel Level Cloud Product - Revised Algorithm in Binary Format data set. It contains 3-hourly, 30 KM satellite image projection data from various polar and geostationary satellites. Pixel Level Cloud Product contents include calibrated radiances, cloud detection results, and cloud and surface properties from radia

NASA Earthdata CMR + NASA Data Portal1999 · Astronomical catalogue

The ISCCP_B3_NAT data is the International Satellite Cloud Climatology Project (ISCCP) Stage B3 Reduced Radiances in Native Format data product. This is the original radiance data, sampled to 30 Km and 3-hour spacing. Data collection for this product is complete and was collected using several instruments on multiple platforms, please see the instrument and platform list of this record for a compr

NASA Earthdata CMR + NASA Data Portal1999 · Astronomical catalogue

The ISCCP_D2 data set contains monthly, 280 KM equal-area grid data from various polar and geostationary satellites. Climatological Summary Product contents contain monthly average of D1 quantities including mean diurnal cycle, distribution and properties of total cloudiness and cloud types. The International Satellite Cloud Climatology Project (ISCCP), the first project of the World Climate Resea

NASA Earthdata CMR + NASA Data Portal1999 · Astronomical catalogue

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

NASA Earthdata CMRcollection

The Indian Meteorological Department has provided satellite data from the Indian National Satellit (INSAT) for the period April 1984 to March 1989. Data are available twice-daily until April 1988 when data become available 8 times daily.

NASA Earthdata CMRImage data

The Space Science and Engineering Center at the University of Wisconsin-Madison generates a water vapor (~6.7 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made

NASA Earthdata CMRImage data

The Space Science and Engineering Center at the University of Wisconsin-Madison generates an visible (~0.65 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic visible composites ar

NASA Earthdata CMRcollection

The Indian Ocean Experiment (INDOEX) is a focused field experiment in the Indian Ocean with international participation from the United States, Europe, and the Indian Ocean Region. INDOEX addresses questions of climate change that are of high priority and of great value to the US and the international community. The project's goal is to study natual and anthropogenic climate forcing by aerosols an

NASA Earthdata CMRImage data

The Space Science and Engineering Center at the University of Wisconsin-Madison generates an infrared (~11.0 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made

NASA Earthdata CMRImage data

The Space Science and Engineering Center at the University of Wisconsin-Madison generates a longwave infrared (~12.0 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites a

NASA Earthdata CMRImage data

The Space Science and Engineering Center at the University of Wisconsin-Madison generates a shortwave infrared (~3.8 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites a