edu.ucar.gdex::d502000 eng; USA utf-8 dataset NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu NSF NCAR Geoscience Data Exchange 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. download pointOfContact 2026-06-08T17:14:00Z ISO 19115 Geographic Information - Metadata ISO19115:2003/Cor 1 2006 https://doi.org/10.5065/D6CZ356W http://www.cpc.ncep.noaa.gov/products/janowiak/cmorph.shtml http Related Resource #1 NOAA CMORPH Precipitation Page http://www.cpc.ncep.noaa.gov/products/global_precip/html/wpage.cmap.shtml http Related Resource #2 CPC Merged Analysis of Precipitation (CMAP) NOAA CPC Morphing Technique (CMORPH) Global Precipitation Analyses d502000 2011-09-16 publication Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce author NSF National Center for Atmospheric Research publisher NOTE: This dataset has been superseded by CMORPH version 1.0, which is available in GDEX dataset d502002 [https://gdex.ucar.edu/datasets/d502002/]. Users are advised to transition to this updated dataset. CMORPH (CPC MORPHing technique) produces global precipitation analyses at very high spatial and temporal resolution. This technique uses precipitation estimates that have been derived from low orbiter satellite microwave observations exclusively, and whose features are transported via spatial propagation information that is obtained entirely from geostationary satellite infrared data. Precipitation estimates are derived from the passive microwaves aboard the DMSP 13, 14 and 15 (SSM/I), the NOAA-15, 16, 17 and 18 (AMSU-B), and AMSR-E and TMI aboard NASA's Aqua and TRMM spacecraft, respectively. These estimates are generated by algorithms of Ferraro (1997) for SSM/I, Ferraro et al. (2000) for AMSU-B and Kummerow et al. (2001) for TMI. Note that this technique is not a precipitation estimation algorithm but a means by which estimates from existing microwave rainfall algorithms can be combined. Therefore, this method is extremely flexible such that any precipitation estimates from any microwave satellite source can be incorporated. onGoing datahelp@ucar.edu pointOfContact daily dataset https://gdex.ucar.edu/images/ds_logos/default_200_200.png Logo thumbnail from URL png dataset Resource Type 2021-03-30 revision 4.4 DataCite Metadata Working Group orginator resourceTypeGeneral DMSP > Defense Meteorological Satellite Program NOAA-15 > National Oceanic & Atmospheric Administration-15 NOAA-16 > National Oceanic & Atmospheric Administration-16 NOAA-17 > National Oceanic & Atmospheric Administration-17 NOAA-18 > National Oceanic & Atmospheric Administration-18 U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-05-27 revision 24.0 NASA Global Change Master Directory orginator Valids List: Platforms AMSR-E > Advanced Microwave Scanning Radiometer-EOS AMSU-B > Advanced Microwave Sounding Unit-B TMI > TRMM Microwave Imager U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-05-27 revision 24.0 NASA Global Change Master Directory orginator Valids List: Instruments EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE U.S. National Aeronautics and Space Administration Global Change Master Directory GCMD 2026-05-27 revision 24.0 NASA Global Change Master Directory orginator Valids List: Science and Services Keywords Creative Commons Attribution 4.0 International License None eng utf-8 climatologyMeteorologyAtmosphere 2002-12-07T0000+00 2017-10-02T2100+00 NSF NCAR Geoscience Data Exchange datahelp@ucar.edu https://gdex.ucar.edu distributor 0 https://gdex.ucar.edu/datasets/d502000/ https Dataset Description Related Link information https://gdex.ucar.edu/datasets/d502000/dataaccess/ https Data Access Related Link download none asNeeded