Elsevier

Remote Sensing of Environment

Volume 113, Issue 12, 15 December 2009, Pages 2633-2641
Remote Sensing of Environment

Rapid change of snow surface properties at Vostok, East Antarctica, revealed by altimetry and radiometry

https://doi.org/10.1016/j.rse.2009.07.019Get rights and content

Abstract

We present results of snow surface properties using the ENVISAT dual frequency altimeter at S (3.2 GHz) and Ku (13.6 GHz) bands and the AMSR-E microwave radiometer at frequencies ranging between 6 and 36 GHz in the Vostok region, East Antarctica. The altimetric time series observed between 2002 and 2008 show variations at 3 different time scales (daily, seasonal and inter-annual), that correlate directly with variations in the snow surface properties. In this study we focus on the analysis of the rapid daily event, occurring on February 14th 2005, that created a jump of the backscatter coefficient of up to 5.3 dB at the S band and 2.5 dB at the Ku band. The ratio of V/H-polarization brightness temperature slowly decreased in December and January 2005, and suddenly increased on February 14th 2005.

The origin of this rapid event is investigated using AWS data from Vostok station, altimetric and radiometric data simultaneously. Both snow surface density and roughness are found to vary during this event. This event is shown to be synchronous with strong wind occuring during a period of anomalous wind direction, and the presence of surface hoar. These particular conditions certainly modified the snow surface roughness and thus impacted the altimetric signal. We finally investigate the impact of this event on the calculation of the regional ice-sheet mass-balance using different corrections of height with echo shape variations. It is shown to be negligible only if the full echo shape correction (Legresy et al., 2006) is used.

Introduction

The upper 100 m of the Antarctic ice-sheet consists of dry-snow, with seasonal melting of the surface only occurring near the coasts (Picard et al., 2007). The inland snow stays dry, but is subject to seasonal metamorphism (Colbeck, 1983) and compaction (Li & Zwally, 2002) that occurs under temperature forcing, snow accumulation and wind driven process. Antarctic winds distribute the snow over the surface and hence control the surface properties.

A knowledge of the snow surface properties (roughness and density) is of prime importance for two main reasons: 1) these properties are related to climatological parameters, such as wind, precipitation and air temperature, 2) they are key parameters for analyzing remotely sensed data. All microwave sensors are sensitive to centimeter scale surface roughness. The signals from altimeters are particularly sensitive to snow surface density and roughness: smooth surface targets can easily be identified from altimetric signals (Lacroix et al., 2007), and a change of snow surface density will introduce a bias in the radar altimetric altitude estimation (Lacroix et al., 2008).

In situ measurements of snow surface density will typically be limited to pits and shallow cores, drilled mostly during the summer field seasons, whereas measurements of snow surface roughness are almost non-existent. Only sparse measurements of snow density and surface roughness exist over the Antarctic ice-sheet, and are thus insufficient to resolve time and space variability of these parameters. The only realistic way to observe these parameters is via the use of remotely sensed data aided by available in situ data.

We present here an analysis of altimetric data in the Vostok area (East Antarctica). We show that snow properties variations occur at different time scales, and focus on the interpretation of a rapid event occuring on February 14th 2005, based on the analysis of meteorological, altimetric and radiometric data. We then use this event to estimate the impact of snow properties variations on the altimetric measurements.

Section snippets

Altimetry basics

The prime purpose of satellite radar altimetry in polar regions is to measure precise topography of the ice-sheet (Remy et al., 2001), and subsequently to determine its mass-balance (Wingham et al., 1998, Zwally et al., 1989, Zwally et al., 2005). The sensitivity of the altimetric signal to snow properties (Ridley & Partington, 1988) has also been used to estimate snow properties of the ice-sheet (Arthern et al., 2001, Lacroix et al., 2007, Lacroix et al., 2008, Legresy and Remy, 1998).

The

Area of study

The data shown in this study are located around the Vostok station (located on the map of the Fig. 1), East Antarctica, at an elevation varying between 3300 m and 3700 m. The mean annual temperature in this area is around − 50 °C, with annual variations between − 80 °C and − 30 °C. These low temperatures keep the snow dry, which favors the radar wave penetration into snow. The area is also characterized by low snow accumulation with 20 kg m 2 of water equivalent (Ekaykin et al., 2002), and low

Time series interpretation

The synchronous and rapid variations of radiometric and altimetric signal on February 14th confirm the hypothesis that snow properties changed suddenly on that day. Moreover, two main reasons show that snow properties changed at the surface: 1) As mentioned before in Section 3.2, the altimetric rapid event characteristics can only be explained by a variation of either snow surface roughness or density. 2) The amplitude of the observed V/H ratio rapid event is independent on the radiometric

Conclusion

Active and passive satellite microwave data, and their different sensitivity to the snow surface properties is here used to assess the different nature and time scales of the snow surface properties variations. This study presents significant and previously unreported altimetric height variations on the Antarctic plateau near Vostok station caused by a rapid change (1 day) of the snow surface properties occuring on February 14th 2005. Both density and roughness are found to change rapidly under

Acknowledgments

The authors would like to thank Richard Coleman for commenting the text and correcting the English. Constructive comments from 3 anonymous reviewers led also to major improvements in our manuscript. Weather data have been kindly provided by the Arctic and Antarctic Research Institute (AARI). Bernard Pirletta is acknowledged for his support.

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