NOAA CPC Morphing Method (CMORPH) Global Precipitation Analyses, Version 1.0 (0.25 degree, 3-hourly resolution)

NOTE: This dataset has been superseded by the NOAA Climate Data Record (CDR) of CMORPH version 1.0, which is available in RDA dataset ds502.2 [https://rda.ucar.edu/datasets/ds502.2/]. Users are advised to transition to this updated dataset.

This dataset contains version 1.0 of the NOAA CPC MORPHing technique (CMORPH) global precipitation analyses covering the period January 1998-present at 0.25 degree, 3-hourly resolution. Version 1.0 comprises reprocessed data using a fixed algorithm with inputs of the same versions. In contrast, CMORPH Version 0.x is generated using an evolving algorithm with inputs of changing versions over the entire data period. The major differences between Versions 1.0 and 0.x are the following: * Version 1.0 covers the entire TRMM/GPM era from January 1998 to the present, while Version 0.x started from December 2002. * Version 1.0 is generated using a fixed algorithm and inputs of fixed versions to ensure best possible homogeneity, while Version 0.x has been produced using an evolving algorithm and inputs of changing versions, and therefore presents substantial inhomogeneities, especially over the earlier years of its operations (2003-2006). * Version 1.0 include the raw, satellite only precipitation estimates as well as bias corrected and gauge-satellite blended precipitation products, while Version 0.x only has the satellite-only products.

CMORPH 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.

CMORPH Version 0.x data may be accessed from RDA datasets ds502.0 (data prior to June 2014) and ds502.1 (June 2014-present).

To Access Resource:

Questions? Email Resource Support Contact:

  • Thomas Cram
    tcram@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1998-01-01T00:00:00Z
    End:  2017-07-31T21:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 1998-01-01T00:00:00Z
Temporal Range End 2017-07-31T21:00:00Z
Temporal Resolution N/A
Bounding Box North Lat N/A
Bounding Box South Lat N/A
Bounding Box West Long N/A
Bounding Box East Long N/A
Spatial Representation N/A
Spatial Resolution N/A
Related Links

Related Resource #1 : NOAA CPC CMORPH Precipitation website

Related Resource #2 : CMORPH version 1.0 data at NOAA/CPC

Additional Information N/A
Resource Format NCEP_CPC_CMORPH025 (Binary)
Standardized Resource Format Binary
Asset Size 29022 MB
Legal Constraints

Use of this dataset is subject to UCAR's Terms of Use, except that commercial use is generally not prohibited.


Access Constraints Registration on the RDA web site is a requirement for access to the data.
Software Implementation Language N/A

Resource Support Name Thomas Cram
Resource Support Email tcram@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2018-05-29
Digital Object Identifier (DOI) https://doi.org/10.5065/B4B7-KB23
Alternate Identifier ds502.3
Resource Version N/A
Topic Category climatologyMeteorologyAtmosphere
Progress onGoing
Metadata Date 2024-01-03T15:11:43-07:00
Metadata Record Identifier edu.ucar.rda::ds502.3
Metadata Language eng; USA
Suggested Citation Climate Prediction Center, National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce. (2018). NOAA CPC Morphing Method (CMORPH) Global Precipitation Analyses, Version 1.0 (0.25 degree, 3-hourly resolution). Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/B4B7-KB23. Accessed 27 February 2024.

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