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Technical Note

Arctic Sea-Ice Surface Elevation Distribution from NASA’s Operation IceBridge ATM Data

1
GST Inc., 5830 University Research Court, E/RA3, College Park, MD 20740, USA
2
Laboratory for Satellite Altimetry, Center for Satellite Applications and Research, NOAA, 5830 University Research Court, E/RA3, College Park, MD 20740, USA
3
Earth System Science Interdisciplinary Center, University of Maryland, 5830 University Research Court, E/RA3, College Park, MD 20740, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Nereida Rodriguez-Alvarez
Remote Sens. 2022, 14(13), 3011; https://doi.org/10.3390/rs14133011
Received: 20 April 2022 / Revised: 17 June 2022 / Accepted: 21 June 2022 / Published: 23 June 2022
(This article belongs to the Topic Advances in Environmental Remote Sensing)
In this paper, we characterize the sea-ice elevation distribution by using NASA’s Operation IceBridge (OIB) Airborne Topographic Mapper (ATM) L1B data over the Arctic Ocean during 94 Spring campaigns between 2009 and 2019. The ultimate objective of this analysis is to better understand sea-ice topography to improve the estimation of the sea-ice freeboard for nadir-looking altimeters. We first introduce the use of an exponentially modified Gaussian (EMG) distribution to fit the surface elevation probability density function (PDF). The characteristic function of the EMG distribution can be integrated in the modeling of radar altimeter waveforms. Our results indicate that the Arctic sea-ice elevation PDF is dominantly positively skewed and the EMG distribution is better suited to fit the PDFs than the classical Gaussian or lognormal PDFs. We characterize the elevation correlation characteristics by computing the autocorrelation function (ACF) and correlation length (CL) of the ATM measurements. To support the radar altimeter waveform retracking over sea ice, we perform this study typically on 1.5 km ATM along-track segments that reflect the footprint diameter size of radar altimeters. During the studied period, the mean CL values range from 20 to 30 m, which is about 2% of the radar altimeter footprint diameter (1.5 km). View Full-Text
Keywords: sea ice; altimetry; algorithms; remote sensing sea ice; altimetry; algorithms; remote sensing
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MDPI and ACS Style

Yi, D.; Egido, A.; Smith, W.H.F.; Connor, L.; Buchhaupt, C.; Zhang, D. Arctic Sea-Ice Surface Elevation Distribution from NASA’s Operation IceBridge ATM Data. Remote Sens. 2022, 14, 3011. https://doi.org/10.3390/rs14133011

AMA Style

Yi D, Egido A, Smith WHF, Connor L, Buchhaupt C, Zhang D. Arctic Sea-Ice Surface Elevation Distribution from NASA’s Operation IceBridge ATM Data. Remote Sensing. 2022; 14(13):3011. https://doi.org/10.3390/rs14133011

Chicago/Turabian Style

Yi, Donghui, Alejandro Egido, Walter H. F. Smith, Laurence Connor, Christopher Buchhaupt, and Dexin Zhang. 2022. "Arctic Sea-Ice Surface Elevation Distribution from NASA’s Operation IceBridge ATM Data" Remote Sensing 14, no. 13: 3011. https://doi.org/10.3390/rs14133011

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