TY - JOUR
T1 - A Satellite-Based Remote-Sensing Framework to Quantify the Upwelling Radiation Due to Tropical Cyclones
AU - Nguyen, Kien T.
AU - Hu, Liang
AU - Alenin, Andrey S.
AU - Ritchie, Elizabeth A.
AU - Tyo, J. Scott
N1 - Funding Information:
Manuscript received December 30, 2020; revised February 28, 2021 and March 28, 2021; accepted April 13, 2021. Date of publication April 29, 2021; date of current version June 7, 2021. This work was supported in part by the Australian Research Council and the University of New South Wales’s University International Postgraduate Award. The manuscript was improved by comments from three anonymous reviewers. (Corresponding author: Kien T. Nguyen.) Kien T. Nguyen, Andrey S. Alenin, and J. Scott Tyo are with the School of Engineering and Information Technology, University of New South Wales, Sydney, NSW 2006, Australia (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 2008-2012 IEEE.
PY - 2021
Y1 - 2021
N2 - We present a framework to quantify the radiation from tropical cyclones (TCs) in shortwave (SW, wavelength smaller than 3 micron) and longwave (LW, wavelength larger than 3 micron) portions of the electromagnetic spectrum. The framework includes two stages: segmentation of TC clouds and calculation of the radiation effects attributable to TC clouds. The segmentation task is accomplished by an algorithm which takes a time series of brightness temperature images of TCs and uses image processing techniques to acquire segmentation for each image in a semisupervised manner. The radiation is calculated by combining the segmentation results with the cloud and earth's radiant energy system dataset via a coordinate-matching scheme due to their difference in resolution. The framework was implemented to analyze the net contribution of TCs to the upwelling radiation in 2016 and in summer months between 2015 and 2019 at regional and global scales. Results show that both the magnitude and the variability of radiation contribution by TCs are of an order of magnitude that could have a significant effect on the overall earth's energy balance.
AB - We present a framework to quantify the radiation from tropical cyclones (TCs) in shortwave (SW, wavelength smaller than 3 micron) and longwave (LW, wavelength larger than 3 micron) portions of the electromagnetic spectrum. The framework includes two stages: segmentation of TC clouds and calculation of the radiation effects attributable to TC clouds. The segmentation task is accomplished by an algorithm which takes a time series of brightness temperature images of TCs and uses image processing techniques to acquire segmentation for each image in a semisupervised manner. The radiation is calculated by combining the segmentation results with the cloud and earth's radiant energy system dataset via a coordinate-matching scheme due to their difference in resolution. The framework was implemented to analyze the net contribution of TCs to the upwelling radiation in 2016 and in summer months between 2015 and 2019 at regional and global scales. Results show that both the magnitude and the variability of radiation contribution by TCs are of an order of magnitude that could have a significant effect on the overall earth's energy balance.
KW - Climate change
KW - cloud classification
KW - earth's energy balance
KW - image processing
KW - tropical cyclone (TC)
KW - upwelling radiation
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U2 - 10.1109/JSTARS.2021.3076660
DO - 10.1109/JSTARS.2021.3076660
M3 - Article
AN - SCOPUS:85105046104
SN - 1939-1404
VL - 14
JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
M1 - 9419721
ER -