Measurement of Ice Flow Velocities from GPS Positions Logged by Short-Period Seismographs in East Antarctica Lei FU1,2,3, Jingxue GUO4 & Xiaofei CHEN1,2,3*

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Measurement of Ice Flow Velocities from GPS Positions Logged by Short-Period Seismographs in East Antarctica Lei FU1,2,3, Jingxue GUO4 & Xiaofei CHEN1,2,3* SCIENCE CHINA Earth Sciences •RESEARCH PAPER• August 2021 Vol.64 No.8: 1381–1389 https://doi.org/10.1007/s11430-021-9765-6 Measurement of ice flow velocities from GPS positions logged by short-period seismographs in East Antarctica Lei FU1,2,3, Jingxue GUO4 & Xiaofei CHEN1,2,3* 1 Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology, Southern University of Science and Technology, Shenzhen 518055, China; 2 Department of Earth and Space Sciences, Southern University of Science and Technology, Shenzhen 518055, China; 3 Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China; 4 Key Laboratory for Polar Science, MNR, Polar Research Institute of China, Shanghai 200136, China Received January 21, 2021; revised March 8, 2021; accepted March 30, 2021; published online July 8, 2021 Abstract The ice flow velocity is a basic feature of glaciers and ice sheets. Measuring ice flow velocities is very important for estimating the mass balance of ice sheets in the Arctic and Antarctic. Traditional methods for measuring ice flow velocity include the use of stakes, snow pits and on-site geodetic GPS and remote sensing measurement methods. Geodetic GPS measurements have high accuracy, but geodetic GPS monitoring points only sparsely cover the Antarctic ice sheets. Moreover, the resolution and accuracy of ice flow velocities based on remote sensing measurements are low. Although the accuracy of the location data recorded by the navigation-grade GPS receivers embedded in short-period seismographs is not as good as that of geodetic GPS, the ice flow velocity can be accurately measured by these navigation-grade GPS data collected over a sufficiently long period. In this paper, navigation-grade GPS location data obtained by passive seismic observations during the 36th Chinese National Antarctic Research Expedition were used to accurately track the movement characteristics of the ice sheet in the Larsemann Hills of East Antarctica and the Taishan Station area. The results showed that the ice sheet in the two study areas is basically moving northwestward with an average ice flow velocity of approximately 1 m mon−1. The results in the Taishan Station area are basically consistent with the geodetic GPS results, indicating that it is feasible to use the embedded GPS location data from short- period seismographs to track the movement characteristics of ice sheets. The ice flow characteristics in the Larsemann Hills are more complex. The measured ice flow velocities in the Larsemann Hills with a resolution of 200 m help to understand its characteristics. In summary, the ice flow velocities derived from GPS location data are of great significance for studying ice sheet dynamics and glacier mass balance and for evaluating the systematic errors caused by ice sheet movements in seismic imaging. Keywords Short-period seismograph, Antarctic ice sheet, Ice flow velocity, GPS Citation: Fu L, Guo J, Chen X. 2021. Measurement of ice flow velocities from GPS positions logged by short-period seismographs in East Antarctica. Science China Earth Sciences, 64(8): 1381–1389, https://doi.org/10.1007/s11430-021-9765-6 1. Introduction ocean (Fettweis et al., 2017) have increased significantly, and the cloud cover around Greenland (Hofer et al., 2017) Global warming is accelerating the mass loss of the Arctic decreases in summer. These changes have led to surface and Antarctic ice sheets (Oppenheimer, 1998; Chylek et al., runoff (Trusel et al., 2018), the formation and drainage of 2004; Hanna et al., 2005, 2008). In recent decades, the lakes on glaciers (Leeson et al., 2015; Palmer et al., 2015), temperatures of the air (Straneo and Heimbach, 2013) and iceberg collapse (Nick et al., 2012), and glacier retreat (Joughin et al., 2008). Holland et al. (2008) studied the at- mospheric circulation over the North Atlantic and the * Corresponding author: (email: [email protected]). © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021 earth.scichina.com link.springer.com 1382 Fu L, et al. Sci China Earth Sci August (2021) Vol.64 No.8 changes in the Jakobshavn Glacier in Greenland and showed During the International Trans-Antarctic Scientific Expedi- that the acceleration of its mass loss was triggered by an tion (ITASE), China conducted 7 ground GPS resurveys increase in the temperature of the subsurface ocean on the from Zhongshan Station to the Dome-A section and carried west coast. Greenland, the Antarctic Peninsula, and parts of out high-precision GPS measurements by the observation West Antarctica are experiencing a moderate mass loss data of the third resurvey phase. Static positioning revealed (approximately 1 mm yr−1 equivalent of sea level rise) that the GPS points along the survey line are moving toward (Hanna et al., 2013); among them, Greenland’s ice loss ac- the northwest (the edge of the ice sheet) at a velocity of counts for the main contributors to global sea level rise. 8–24 m yr−1. Moreover, the closer the points are to the edge Model predictions indicate that in the general trend of cli- of the ice sheet, the faster the velocity, with the maximum mate warming, the mass loss in Greenland will continue reaching 100 m yr−1; at the same time, the flow of the ice (Pattyn et al., 2018). Shepherd et al. (2018) combined sa- sheet is causing a vertical subsidence rate of 0.2 to 1 m yr−1 tellite observations of volume, flow, and gravity changes (Wang et al., 2001). Zhang et al. (2008) used 19 repeated with an ice sheet surface mass balance model and showed GPS observations from Zhongshan Station to the Dome-A that the Antarctic ice sheet lost 27,200±13,900 billion tons section from 1996 to 2006 and calculated that the ice flow between 1992 and 2017, which is equivalent to an average velocity on the section gradually increases from inland to the increase of 7.6±3.9 mm in sea level. coast. The ice flow velocity in Dome-A is less than The ice flow velocity is a basic feature of glaciers and ice 10 m yr−1, while the ice flow velocity in the ice plateau is sheets: it characterizes the rate of ice transport from inland to 8–24 m yr−1, and in some local areas, the ice flow velocity coastal areas, reveals the locations of ice transport channels, reaches 98.2 m yr−1. Furthermore, the direction of ice flow is and reveals how ice blocks evolve over time (Rignot et al., roughly perpendicular to the contour of the ice sheet surface 2011). Measuring ice flow velocity is very important for elevation, mainly directed towards the Lambert Glacier Ba- estimating the mass balance of ice sheets in the Arctic and sin. Antarctic. Traditional ice flow velocity determination However, ground stake and GPS measurements can obtain methods include field in situ and remote sensing measure- only discrete observations in a local area and cannot obtain ments. Field in situ measurements usually utilize stakes, large-area glacier velocity fields; hence, remote sensing snow pits and geodetic Global Positioning System (GPS) measurement methods based on optical or microwave remote data. Dorrer et al. (1969) studied the changes in the ice sheet sensing provide a new way to obtain the entire Antarctic ice flow velocity field by using 103 stakes on a 910-km survey sheet flow velocity field. Remote sensing measurements line across the Ross Ice Shelf in Antarctica. The results mainly use image feature tracking and correlation calculation showed that the rate of separation between the McMurdo Ice principles to calculate the flow velocities of glaciers by Shelf and Ross Ice Shelf is increasing, and almost parallel feature matching (Scambos et al., 1992; Frezzotti et al., movement occurs in the middle of the ice shelf. During the 1998; Chen, 2016). Heid and Kääb (2012) compared and second (1985/1986) and third (1986/1987) Chinese Antarctic analyzed six different feature matching algorithms for scientific expeditions, Xu et al. (1988) set up six glacier Landsat optical images of five glaciers around the world and movement monitoring points using stakes on the Nelson considered that the cross-correlation (CCF-O) and phase Island Glacier in the Antarctic Peninsula and, combined with correlation (COSI-CORR) are two of the most effective optical theodolites, measured the geodetic position and ele- matching methods for global glacier velocity monitoring. vation of each point; they concluded that the glacier is Nevertheless, optical remote sensing is susceptible to the flowing toward the sea at a velocity of 14.6 m yr−1. Mea- constraints of polar night, solar radiation, clouds and fog, surements with stakes have the advantages of simple op- image oversaturation, and matching algorithms; moreover, eration and a low measurement failure rate. However, the its accuracy is relatively low. In contrast, synthetic aperture time interval between repeating measurements is long, and radar (SAR) adopts an active microwave imaging mode that this approach requires considerable logistical support. In can realize all-weather ground observations. Consequently, contrast, GPS measurement technology has the advantages SAR is important for extracting glacier flow velocities and is of acquiring omnidirectional data under all weather condi- the main method employed to estimate glacier velocities at tions with low cost, high efficiency, high precision, etc. present. Goldstein et al. (1993) first estimated the glacier Hence, GPS techniques can be very convenient for the rapid surface velocity of the Antarctic ice sheet based on the co- measurement and real-time monitoring of glacier surface herence of interferometric SAR (InSAR) data. Pattyn and velocities in the Antarctic (Chen, 2016). Manson et al. Derauw (2002) calculated the surface velocity field of the (2000) collected 73 geodetic GPS points along the 2500-m Shirase Glacier by matching the small image cores of two contour line of the Lambert Glacier Basin from 1988 to 1995 complex SAR images; the glacier in the downstream part of and showed that the ice flow velocity at the exit of the glacier the Shirase Basin is close to equilibrium, showing a slight along the GPS point route varies from 0.5 to 63 m yr−1.
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