CMORPH (CPC MORPHing technique): High resolution precipitation (60S-60N)

CMORPH (CPC MORPHing technique): High resolution precipitation (60S-60N)

"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 IR data." (source: RDA abstract on CMORPH).

Key Strengths

High temporal and spatial resolution

Please cite data sources, following the data providers' instructions
Dataset DOIs
None
Hosted Climate Index Files
None
Data Access
  1. 3-hrly: 0.25x0.25
  2. daily: 0.25x0.25
  3. 3-hrly: 0.25x0.25: entire period (2002-present)
  4. netCDF and Binary: NOAA CPC Morphing Technique (CMORPH) Global Precipitation Analyses ds502.0
  5. How to get data!
Usage Restrictions
None

Cite this page

Acknowledgement of any material taken from or knowledge gained from this page is appreciated:

National Center for Atmospheric Research Staff (Eds). Last modified "The Climate Data Guide: CMORPH (CPC MORPHing technique): High resolution precipitation (60S-60N).” Retrieved from https://climatedataguide.ucar.edu/climate-data/cmorph-cpc-morphing-technique-high-resolution-precipitation-60s-60n on 2025-05-25.


Citation of datasets is separate and should be done according to the data providers' instructions. If known to us, data citation instructions are given in the Data Access section, above.


Acknowledgement of the Climate Data Guide project is also appreciated:

Schneider, D. P., C. Deser, J. Fasullo, and K. E. Trenberth, 2013: Climate Data Guide Spurs Discovery and Understanding. Eos Trans. AGU, 94, 121–122, https://doi.org/10.1002/2013eo130001

Key Figures

Climate Data Guide Image: CMORPH

Sample CMORPH (0.25 x 0.25) without (top) and with (bottom) advection for June 20, 2009. [Climate Data Guide; D.Shea]

Other Information

Earth system components and main variables
Atmosphere, Precipitation
Type of data product
Satellite Data Products, Platforms, Aqua, AMSRE, Other, SSMI, TRMM
Dataset collections
None

Years of record
to
Metadata ID
oai:edu.ucar.rda:ds502.0
Data time period extended
Yes, data set is extended
Timestep
Sub-daily, Daily
Domain
Global
Formats:
netCDF, binary
Input Data

satellite microwave

Vertical Levels:
Surface Data Set
Missing Data Flag
Missing data present
Ocean or Land
None
Spatial Resolution

0.25x0.25

Model Resolution (reanalysis)
None
Data Assimilation Method
None
Model Vintage (reanalysis)
None