CMORPH (CPC MORPHing technique): High resolution precipitation (60S-60N)
Teaser image
Main content
"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
Key Strengths
High temporal and spatial resolution
Please cite data sources, following the data providers' instructions
Suggested Data Citation
Dataset DOIs
None
Hosted Climate Index Files
None
Data Access
Usage Restrictions
None
Key Figures
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
Dataset collections
None
Years of record
to
Data time period extended
Yes, data set is extended
Timestep
Sub-daily, Daily
Domain
Input Data
satellite microwave
Vertical Levels:
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
Key Publications
- Joyce, Robert J., John E. Janowiak, Phillip A. Arkin, Pingping Xie, 2004: CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution. J. Hydrometeor, 5, 487–503
- Ferraro, R. R., 1997: SSM/I derived global rainfall estimates for climatological applications. J. Geophys. Res., 102, 16 715–16 735.
- Ferraro, R. R., F. Weng, N. C. Grody and L. Zhao, 2000: Precipitation characteristics over land from the NOAA-15 AMSU sensor. Geophys. Res. Ltr., 27, 2669-2672