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Joyce, R.J., J.E. Janowiak, P.A. Arkin, and P. Xie, 2004: CMORPH: A
Method That Produces Global Precipitation Estimates From Data At
High Spatial And Temporal Resolution. J. Hydrometeor, 5, 487-503,
URL:
http://journals.ametsoc.org/doi/abs/10.1175/1525-7541%282004%29005%3C0487:CAMTPG%3E2.0.CO%3B2.
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: The
Evolution of the Goddard Profiling Algorithm (GPROF) for Rainfall
Estimation from Passive Microwave Sensors. J. Appl. Meteor., 40,
1801-1820, URL:
http://journals.ametsoc.org/doi/abs/10.1175/1520-0450%282001%29040%3C1801:TEOTGP%3E2.0.CO%3B2.
Ferraro, R.R., F. Weng, N.C. Grody, and L. Zhao, 2000: Precipitation
Characteristics Over Land From the NOAA-15 AMSU Sensor. Geophys.
Res. Lett., 27(17), 2669-2672 (DOI: 10.1029/2000GL011665), URL:
http://www.agu.org/journals/gl/v027/i017/2000GL011665/.
Ferraro, R.R., 1997: Special Sensor Microwave Imager Derived Global
Rainfall Estimates For Climatological Applications. J. Geophys.
Res., 102, 16715-16735 (DOI: 10.1029/97JD01210), URL:
http://www.agu.org/journals/jd/v102/iD14/97JD01210/.
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| hasSummary |
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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.
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