CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution
National Oceanic and Atmospheric Administration · NOAA Climate Prediction Center · +3 more institutions
Abstract
A new technique is presented in which half-hourly global precipitation estimates derived from passive microwave satellite scans are propagated by motion vectors derived from geostationary satellite infrared data. The Climate Prediction Center morphing method (CMORPH) uses motion vectors derived from half-hourly interval geostationary satellite IR imagery to propagate the relatively high quality precipitation estimates derived from passive microwave data. In addition, the shape and intensity of the precipitation features are modified (morphed) during the time between microwave sensor scans by performing a time-weighted linear interpolation. This process yields spatially and temporally complete microwave-derived…
Citation impact
- FWCI
- 18.40
- Percentile
- 100%
- References
- 25
Authors
4- RJRobert J. JoyceCorresponding
National Oceanic and Atmospheric Administration, NOAA Climate Prediction Center
- JEJohn E. Janowiak
NOAA National Centers for Environmental Prediction, NOAA Climate Prediction Center
- PAPhillip A. Arkin
University of Maryland, College Park, Earth System Science Interdisciplinary Center
- PXPingping Xie
NOAA Climate Prediction Center, NOAA National Centers for Environmental Prediction
Topics & keywords
- Geostationary orbit
- Microwave
- Environmental science
- Geostationary Operational Environmental Satellite
- Meteorology
- Precipitation
- Satellite
- Special sensor microwave/imager
- Climate action