Developing an Orographic Adjustment for the SCaMPRAlgorithm

akçelik, mustafa
kuligowski, bob
In support of the National Oceanic and Atmospheric Administration (NOAA) National Weather Service's (NWS) flash flood warning and heavy precipitation forecast efforts, the NOAA National Environmental Satellite Data and Information Service (NESDIS) Center for Satellite Applications and Research (STAR) has been providing satellite-based precipitation estimates operationally since 1978. With the launch of the GOES-R series of satellites scheduled for early 2015, the GOES-R Algorithm Working Group (AWG) is responsible for developing and demonstrating algorithms for retrieving various geophysical parameters from GOES data, including rainfall. The rainfall algorithm selected by the GOES-R AWG is the Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR). However, the SCaMPR does not currently make any adjustments for the effects of complex topography on rainfall. Elevation-dependent bias structures suggest that there is an increased sensitivity to deep convection, which generates heavy precipitation at the expense of missing lighter precipitation events. A regionally dependent empirical elevation-based bias correction technique may help improve the quality of satellite-derived precipitation products. This study investigates the potential for improving the SCaMPR algorithm by incorporating an orographic correction based on calibration of the SCaMPR against rain gauge transects in northwestern Mexico to identify correctable biases related to elevation, slope, and wind direction. The findings suggest that continued improvement to the developed orographic correction scheme is warranted in order to advance quantitative precipitation estimation in complex terrain regions for use in weather forecasting and hydrologic applications. The relationships that are isolated during this analysis will be used to create a more accurate terrain adjustment for SCaMPR.
Citation Formats
İ. YÜCEL, m. akçelik, and b. kuligowski, “Developing an Orographic Adjustment for the SCaMPRAlgorithm,” presented at the American Geophysical Union (AGU) Fall Meeting, 2016, 2016, Accessed: 00, 2021. [Online]. Available: