NOAA CPC MORPHing technique: high resolution precipitation (60S-60N) v1.0
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 IR data. The grid resolution is 0.07277 degrees lat/lon (8 km at the equator) and temporal resolution is 30 minutes. With regard to spatial resolution, although the precipitation estimates are available on a grid with a spacing of 8 km (at the equator), the resolution of the individual satellite-derived estimates is coarser than that - more on the order of 12 x 15 km or so. The finer "resolution" is obtained via interpolation. (source CPC website ) The original data is downloaded from the NOAA CPC ftp server. More information is available on the CPC website and the data climate guide website.
This dataset is freely available, please acknowledge the creators of the dataset.
Xie, P., R. Joyce, S. Wu, S. -H. Yoo, Y. Yarosh, F. Sun, and R. Lin. 2020, updated daily.NOAA Climate Data Record (CDR) of CPC Morphing Technique (CMORPH) High Resolution Global Precipitation Estimates, Version 1. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/10.5065/0EFN-KZ90. Accessed†dd mmm yyyy.
Ferraro, R. R., 1997: SSM/I derived global rainfall estimates for climatological applications. J. Geophys. Res., 102, 16715-16735.
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.
Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution.. J. Hydromet., 5, 487-503.
Kummerow, C., Y. Hong, W. S. Olson, S. Yang, R. F. Adler, J. McCollum, R. Ferraro, G. Petty, D-B Shin, and T. T. Wilheit, 2001: Evolution of the Goddard profiling algorithm (GPROF) for rainfall estimatin from passive microwave sensors. J. Appl. Meteor., 40, 1801-1820.
CMORPH at NCI
This dataset is available on gdata under the ua8 project
/g/data/ua8/CMORPH/CMORPH_V1.0/ --> raw/8km-30min/YYYY/ for the original binary files
--> netcdf/YYYY/pr_30min_CMORPH_V1_<fromdate>_<todate>.nc for the converted netcdf files where from date and today are in the format YYYYMMDD
For CMORPH V0.x data is in /g/data/ua8/CMORPH/CMORPH_V1.0/netcdf/
Important update: 25 June 2018
Since there are delays in releasing new data for V1-0 we downloaded its precursor V0.x from July 2017 to date included. The two versions should be compatible but please take into account that V0.x could potentially have issues.
We also concatenated the existing daily files for version v1-0 into monthly files. In two weeks time (09 July) we will delete the daily files and only the monthly will remain available. Finally raw files are now only available as tar or gzip files, i.e. as originally downloaded from the web.