1334 Utilizing the Full Potential of the Advanced Himawari Imager (AHI) High Resolution Visible Imagery for Deriving Low Level Atmospheric Winds

Wednesday, 25 January 2017
4E (Washington State Convention Center )
Wayne Bresky, IMSG, Rockville, MD; and J. Daniels, A. Bailey, A. Allegrino, S. Wanzong, and C. Velden

In preparation for the launch of the GOES-R satellite later this year, the Derived Motion Winds algorithm is undergoing final testing and validation using proxy data from the Japan Meteorological Agency’s Himawari-8 satellite, which was launched in October 2014 and carries the 16-channel Advanced Himawari Imager (AHI) that is nearly identical to the Advanced Baseline Imager (ABI) to be flown on the GOES-R satellite. Access to data from Himawari-8 gives GOES-R algorithm developers an unprecedented glimpse of how their algorithms should perform once the ABI data is available. It also prepares potential users of GOES-R imagery and derived products for the substantial increase in the volume of information that will be available to the user community.

This poster will focus primarily on the performance of the GOES-R DMW algorithm while testing it with the full resolution (0.5 km) visible imagery from the AHI sensor. The full-resolution AHI visible winds have been compared to output generated from two lower resolution (2 km) tests designed to simulate the current operational practice of reducing the GOES 1-km imagery to 2-km resolution prior to deriving the operational GOES visible winds. The comparison demonstrates the benefit of using the full resolution data to improve the tracking of low level cumulus clouds in a tropical cyclone environment. The poster also suggests other possible improvements to the algorithm to maximize the quality and utility of the derived motion product.

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