CMORPH Daily Precipitation
National Oceanic and Atmospheric Administration's (NOAA) Climate Prediction Center (CPC)
The NOAA CMORPH precipitation dataset is a gridded dataset derived from combining numerous microwave-based estimates from low orbiter satellites. The dataset is also archived and managed through the NOAA Climate Data Record program at NOAA's National Centers for Environmental Information (NCEI).
Inches of Precipitation
This location received less than 0.01 inch of precipitation during this 7-day period.
This location received 0.01–0.5 inch of precipitation during this 7-day period.
This location received 0.5–1 inch of precipitation during this 7-day period.
This location received 1–2 inches of precipitation during this 7-day period.
This location received 2–4 inches of precipitation during this 7-day period.
This location received 4–6 inches of precipitation during this 7-day period.
This location received 6–8 inches of precipitation during this 7-day period.
This location received more than 8 inches of precipitation during this 7-day period.
HOW TO
How to use this site:
- Datasets are in GeoTIFF, readable by GIS software and many meteorological tools.
ACCESS
Data processed via Climate Engine available for download from NOAA/NIDIS
Related Publications
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. https://ftp.cpc.ncep.noaa.gov/precip.orig/CMORPH_V1.0/REF/Joyce_et_al_2004_JHM_CMORPHP.pdf
Guttman, N. B., 1999: Accepting the standardized precipitation index: A calculation algorithm. J. Amer. Water Resour. Assoc., 35, 311–322, https://doi.org/10.1111/j.1752-1688.1999.tb03592.x.
Wu, H., M. J. Hayes, D. A. Wilhite, and M. D. Svoboda, 2005: The effect of length of record on the standardized precipitation index. Int. J. Climatol., 25, 505–520, https://doi.org/10.1002/joc.1142.
Wu, H., M. D. Svoboda, M. J. Hayes, D. A. Wilhite, and F. Wen, 2007: Appropriate application of the standardized precipitation index in arid locations and dry seasons. Int. J. Climatol., 27, 65–79, https://doi.org/10.1002/joc.1371.
Cumbie-Ward, R. V., and R. P. Boyles, 2016: Evaluation of a high-resolution SPI for monitoring local drought severity. J. Appl. Meteor. Climatol., 55, 2247–2262, https://doi.org/10.1175/JAMC-D-16-0106.1.
Vose, R. S., and et al, 2014a: NOAA’s Gridded Climate Divisional Dataset (CLIMDIV). NOAA National Climatic Data Center, accessed 4 June 2018, https://doi.org/10.7289/V5M32STR.
