IN005-04
Applications of CMORPH Satellite Precipitation Estimates in the Monitoring the Variations and Extremes of Global Precipitation

Monday, 7 December 2020: 19:09
Virtual
Shaorong Wu, Innovim - NOAA/NCEP/CPC, College Park, MD, United States, Pingping Xie, NOAA/NCEP, College Park, MD, United States, Robert Joyce, NOAA/NCEP/CPC, Boca Raton, FL, United States and Li Ren, NOAA/NCEP/CPC, College Park, MD, United States
Abstract:
CMORPH global high-resolution satellite precipitation estimates have been reprocessed and bias-corrected for a 23-year period from January 1998 to the present. First, purely satellite based CMORPH is reprocessed with a frozen integration algorithm and input satellite data of identical versions throughout the data period. Bias correction is then performed for the raw CMORPH over the entire data period through calibration against the CPC daily gauge analysis over land and adjustment against the pentad GPCP merged analysis over ocean.

Special efforts have been made to examine to what extent this version of CMORPH satellite estimates (CMORPH1) can detect and quantify extreme precipitation events of different time/space scales. To this end, performance of the CMORPH1 is quantified through comparison against gauge analysis and the Stage-IV radar estimates over CONUS for precipitation accumulated on hourly, daily to 30-day temporal scales and averaged over a spatial domain of 0.25olat/lon to 5olat/lon square. While the CMORPH1 tends to under-estimate the peak value for smaller scales, it captures the PDF of rainfall intensity quite well. Extreme precipitation climatology is constructed for each 0.25olat/lon grid over the globe and for each pentad period using the CMORPH1 data for 1998 to 2018. Extreme climatology is defined for hourly, 3 hourly, 6 hourly, 12 hourly, daily, 2-day, 3-day, 5-day and 7-day accumulated precipitation to facilitate operational applications. Extreme climatology statistics computed including 99-, 95-, 90-percentiles, as well as mean precipitation and raining frequency. Construction of global maps of these statistics enables the quantified monitoring of extreme precipitation events. At the AGU meetings, quantitative descriptions of these examinations will be presented together with illustration of applications of the CMORPH1 and its derived products in monitoring extreme weather and climate events. An introduction of the second generation CMORPH (CMORPH2) will also be given at the meeting.

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