Kuligowski, Bob

Zavodsky, Bradley T.

NASA Technical Reports Server

Potential Synergies between TROPICS 
and GOES-R
Bob Kuligowski
NOAA/NESDIS/STAR
1
https://ntrs.nasa.gov/search.jsp?R=20170004547 2019-08-29T22:43:53+00:00Z
TROPICS and GOES-R Rainfall
• Because of its strict latency requirement (< 5 
min), the GOES-R Rainfall Rate algorithm is 
based on IR (ABI) data but uses PMW rain 
rates as a calibration data source
– The goal is to capture as much of the information 
content of PMW data as possible using IR data
– Calibration is updated as new PMW rain rates 
become available (even if longer latency)
• Additional MW rain rates from TROPICS 
should lead to better GOES-R rain rate 
estimates in tropical regions 2
TROPICS and GOES-R Cloud 
Properties
• Coincident MW cloud microphysical retrievals 
will be used to improve the ABI microphysical 
retrievals for:
– Improved cloud water estimates (fundamental 
climate parameter) from GOES-16/17 and VIIRS
– Improved estimates of warm-phase precipitation / 
drizzle (synergy with QPE also)
– Improved aircraft icing threats
3


Potential Synergies Between TROPICS and GOES-R

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