Zhipeng Wang Wins Best Paper Award
May 21, 2021 09:00 AM
CISESS Scientists Zhipeng Wang (lead author), Fangfang Yu, Hyelim Yoo, Haifeng Qian and Xi Shao have been honored with a SPIE Journal of Applied Remote Sensing 2020 Best Papers Award. Their article, “On-orbit calibration and characterization of GOES-17 ABI IR bands under dynamic thermal conditions,” was selected as the best paper for Photo-Optical Instrumentation and Design. The paper summarizes efforts by NOAA's GOES-R Calibration Working Group (CWG), in collaboration with other teams, to evaluate and alleviate negative impacts of warmer and floating focal plane module temperatures on ABI IR calibration.
An anomaly with the GOES-17 Advanced Baseline Imager (ABI) ) infrared (IR) cooling system, specifically its loop heat pipe (LHP) subsystem, prevents heat from being efficiently transferred from the ABI electronics to the radiator to be dissipated into space. As a consequence, the heat accumulates inside the instrument. This causes severe degradation to the data quality of ABI IR Level 1b radiance and subsequent Level 2+ products during the hot period of the day. Significant progress has been made to mitigate the effects of the LHP anomaly to optimize the IR performance of GOES-17 ABI. This paper summarizes how the GOES-R CWG evaluated and alleviated the negative impacts of warmer and floating FPM temperatures on ABI IR calibration, and then assessed the IR performance improvement.
Figure: (a) A sketch summarizing the dependence of ABI IR performance on the focal plane module (FPM) temperatures that oscillate daily. The MESO images from (b) to (e) demonstrate how L1b qualities degrade with rising FPM temperatures for a period from 0930 UTC to 1045 UTC on August 28, 2019.
Zhipeng (Ben) Wang, Xiangqian Wu, Fangfang Yu, Jon P. Fulbright, Elizabeth Kline, Hyelim Yoo, Timothy J. Schmit, Mathew M. Gunshor, Monica Coakley, Mason Black, Daniel T. Lindsey, Haifeng Qian, Xi Shao, and Robbie Iacovazzi, "On-orbit calibration and characterization of GOES-17 ABI IR bands under dynamic thermal condition," J. Appl. Remote Sens., 14, 034527, https://doi.org/10.1117/1.JRS.14.034527.
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