Introduction
Global climate change has a great impact on ice shelves, because they are sensitive to changes in air and ocean temperature or circulation near Antarctica. The break-up of ice shelves in the Antarctic Peninsula is regarded as a signal of regional climate change (Reference Vaughan and DoakeVaughan and Doake, 1996). The area of the ice shelves around the Antarctic Peninsula has shrunk by >12 500 km2 over the past three decades (Reference Scambos, Hulbe, Fahnestock, Domack, Burnett, Leventer, Conley, Kirby and BindschadlerScambos and others, 2003; Reference DomackDomack and others, 2005), resulting in the acceleration and thinning of tributary glaciers (Reference De Angelis and SkvarcaDe Angelis and Skvarca, 2003; Reference Rignot, Casassa, Gogineni, Krabill, Rivera and ThomasRignot and others, 2004; Reference Scambos, Bohlander, Shuman and SkvarcaScambos and others, 2004). Intrusion of warmer ocean water beneath the ice shelves in the Amundsen Sea sector of West Antarctica increased basal melting, resulting in ice-shelf thinning (Reference Shepherd, Wingham and RignotShepherd and others, 2004) and the accelerated discharge of inland ice mass towards the ocean (e.g. Reference RignotRignot, 1998, Reference Rignot2001; Reference Payne, Vieli, Shepherd, Wingham and RignotPayne and others, 2004; Reference Shepherd, Wingham and RignotShepherd and others, 2004; Reference ThomasThomas and others, 2004). This may lead to the instability of the West Antarctic ice sheet, which is grounded on bedrock below sea level (Reference OppenheimerOppenheimer, 1998; Reference Payne, Vieli, Shepherd, Wingham and RignotPayne and others, 2004). Understanding the dynamics of ice shelves and their interaction with ocean is therefore fundamentally important for predicting the contribution of the Antarctic ice sheet to future global sea-level rise (Reference Pritchard, Arthern, Vaughan and EdwardsPritchard and others, 2009). In this study, we examine the basal melt/freeze pattern of the Amery Ice Shelf which is fed by one of the largest glacier systems in East Antarctica.
The Amery Ice Shelf is the largest ice shelf in East Antarctica and drains the grounded ice of the Lambert Glacier/Amery Ice Shelf system. Scientific investigation of the Amery Ice Shelf began in the mid-1950s (Reference Mellor and McKinnonMellor and McKinnon, 1960). A series of surveys on the ice shelf and the ocean cavity beneath the shelf and in Prydz Bay have subsequently investigated ice-shelf dynamics and mass budget and the ice/ocean interaction, including patterns of melting and freezing at the base of the ice shelf (e.g. Reference MorganMorgan, 1972; Reference Budd, Corry and JackaBudd and others, 1982; Reference Fricker, Popov, Allison and YoungFricker and others, 2001, Reference Fricker2002; Reference AllisonAllison, 2003; Reference King, Coleman, Morgan and HurdKing and others, 2007, Reference King2009; Reference Galton-Fenzi, Maraldi, Coleman and HunterGalton-Fenzi and others, 2008; Reference Craven, Allison, Fricker and WarnerCraven and others, 2009).
Melting and freezing beneath the Amery Ice Shelf have also been studied using numerical ocean models and hydrographic observations. Reference Hellmer and JacobsHellmer and Jacobs (1992) reported a mean melting rate as high as 0.65 m a−1 by modeling the sub-Amery ocean thermohaline circulation. This melt rate is equivalent to the removal of 23 G ta−1 of basal ice. Using a three-dimensional (3-D) numerical ocean model, Reference Williams, Grosfeld, Warner, Gerdes and DetermannWilliams and others (2001) simulated the ocean cavity beneath the Amery Ice Shelf and obtained net melting rates of 5.8 and 18.0 Gt a−1 for two different boundary conditions. Both model simulations also showed regions of basal freezing under the ice shelf, with marine ice accretion of several Gt a−1. Based on hydrographic observations collected near the front of the Amery Ice Shelf, Reference Wong, Bindoff, Forbes, Jacobs and WeissWong and others (1998) reported that the net amount of ice loss from the ice-shelf bottom ranged from 10.7 to 21.9 G ta−1. Using a coupled ice/ocean model, Reference HellmerHellmer (2004) estimated the spatial average basal melting rate (0.35 m a−1)and total basal mass loss (17.65 G ta−1) for the Amery Ice Shelf.
In the upper reaches of the ice shelf, the southern grounding line (Fig. 1) was redefined from a hydrostatic equilibrium model (Reference FrickerFricker and others, 2002) and interferometric synthetic aperture radar (InSAR) analysis (Reference RignotRignot, 2002). This grounding line extends the Amery Ice Shelf by ∼240 km upstream, compared with the grounding line position reported by Reference Budd, Corry and JackaBudd and others (1982). Using InSAR techniques, Reference Rignot and JacobsRignot and Jacobs (2002) estimated a melt rate of 31 ± 5 m ice a−1 near the southern grounding line. Using remote-sensing datasets and in situ measurements, Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others (2007) reported the change in pattern of basal mass flux from the southern grounding line to the ice-shelf front along the flowbands of Lambert, Mellor and Fisher glaciers. From in situ borehole temperature and salinity measurements at AM02 (Fig. 1), Reference CravenCraven and others (2004) estimated a minimum melt rate of 0.5 m a−1 at the ice-shelf base at that location. However, a complete basal melting- and freezing-rate distribution over the entire ice shelf has not been reported in these previous studies.
In this paper, various remote-sensing datasets and in situ measurements have been assimilated in a Geographic Information System environment to map and analyze the basal melting/freezing patterns over the entire Amery Ice Shelf. The calving front of the Amery Ice Shelf was defined from the RADARSAT-1 Antarctic Mapping Project (RAMP) image mosaic derived in 1997 (Reference JezekJezek, 1999; Fig. 1). The grounding line of the ice shelf (Fig. 1) is based on that of Reference FrickerFricker and others (2002), and further improved by incorporating the southern grounding line position mapped by the InSAR technique (Reference RignotRignot, 2002), and the grounding line extracted by identifying the surface slope breaks between the grounded ice sheet and the floating ice shelf in Moderate Resolution Imaging Spectroradiometer (MODIS) images (personal communication from N. Young, 2009). The slope breaks are on the landward side of the grounding zone, and define the southern boundary of the ice shelf. The original polar stereographic projection was transformed to the Lambert azimuthal equal-area projection to calculate the area of the Amery Ice Shelf. The area is estimated to be 60 785 km2, which is similar to the area estimate of Reference Galton-Fenzi, Maraldi, Coleman and HunterGalton-Fenzi and others (2008).
Glaciological volume conservation methods (e.g. Reference Jenkins and DoakeJenkins and Doake, 1991; Reference Joughin and PadmanJoughin and Padman, 2003) were employed and are discussed below. Based on the recent remote-sensing data, we find that net melting accounts for about 50% of the total mass loss of the ice shelf, which is far greater than a typical ratio (about 30%) of the basal melting to the total mass loss for ice shelves (Reference Jacobs, Hellmer and JenkinsJacobs and others, 1996). Basal melting and freezing under the Amery Ice Shelf play a critical role in the ice-shelf mass balance, and the interaction at the ice/ocean interface beneath the ice shelf may be more intensive than was thought previously.
Methods
The basal melting and freezing calculation is based on the assumption that the ice shelf is in a steady balance. A recent study by Reference KingKing and others (2009) suggests that the surface elevation (and hence thickness) has not changed significantly over four decades since 1968. Although short-term fluctuations of an elevation magnitude less than 1.0 m may exist, the ice shelf has been almost in balance over the longer term.
The ice mass conservation can be expressed as
where Z is the thickness of the ice shelf, V is the horizontal velocity, ∇ is the two-dimensional gradient operator, is the surface net accumulation rate and is the basal melting/freezing rate (negative for basal freezing). When the ice shelf is in steady state (∂Z/∂t = 0), the horizontal divergence of the volume flux is exactly balanced by the sum of surface accumulation and basal melting/freezing rates. The equilibrium basal melting/freezing rate can then be expressed as
For a floating ice shelf, the ice-flow speed and direction at any depth can be assumed to be the same as at the surface (Reference BuddBudd, 1966). For an ice column in steady state, the total ice inflow into the column is equal to the total outflow from mass conservation (e.g. Reference Jenkins and DoakeJenkins and Doake, 1991). Thus, for an ice column with surface area S, x-direction ice fluxes Φ x and Φ x +Δx , and y-direction ice fluxes Φ y and Φ y+ Δy , Equation (2) can be expressed as
Φ x and Φ x +Δx are calculated from the thickness Z and the x-direction component of ice velocity V. Positive values of indicate basal melting beneath the ice shelf, and negative values indicate freezing.
Three flux gates normal to the velocity vector were defined at the ice-shelf front (Fig. 1) to calculate the ice discharge and overall mass balance for the ice shelf. The ice flux Φ across each gate can be calculated as
where i (1, 2, …, n) is the index for gridcells along the flux gate, ΔX is the width of gridcells, and Vi , Zi and ρi are respectively ice velocity, ice thickness and column-averaged ice density for gridcell i.
The ice thickness is derived by applying the hydrostatic equilibrium equation,
where Hi is the surface elevation for cell i, ρ w is the sea-water density and other terms are the same as in Equation (4).
Data
The datasets used in our basal melting/freezing analysis include (1) InSAR velocity data, (2) surface elevation data, (3) column-averaged ice density, (4) ice-thickness data and (5) annual snow accumulation data.
InSAR velocity
In 2000, three repeat-cycle InSAR data were acquired by a C-band synthetic aperture radar (SAR) sensor on board the RADARSAT-1 satellite during the second Antarctic Mapping Mission (Reference JezekJezek, 2002, Reference Jezek2003), also known as the Modified Antarctic Mapping Mission (MAMM). The RADARSAT InSAR data cover the area from the Antarctic coast to 82° S (Reference JezekJezek, 2003, Reference Jezek2008). The velocity measurements (Fig. 2) used in this study are taken from the processed InSAR velocity database (Reference JezekJezek, 2008; http://bprc.osu.edu/rsl/radarsat/data/) with a gridcell size of 400 m.
In the interferometric processing, velocities have been corrected for the effects of local elevation and tide on floating ice shelves, using the tide model provided by L. Padman (Reference JezekJezek, 2008). The error sources in the interferometric processing include velocity control point (VCP) errors, imperfect fitting between the baseline offsets and the VCPs, digital elevation model (DEM) errors, phase-unwrapping seed errors, offset error caused by misregistration and phase uncertainty. The combination of these error sources results in a velocity uncertainty estimated to be within ±10 m a−1 (Reference JezekJezek, 2003, Reference Jezek2008). See Reference JezekJezek (2008) for further details of the InSAR velocity data processing.
Reference King, Coleman, Morgan and HurdKing and others (2007) found an apparent systematic bias in InSAR velocity (Reference JoughinJoughin, 2002; Reference Young and HylandYoung and Hyland, 2002) up to ±30–40 m a−1,compared to velocities determined from global positioning system (GPS) and traditional survey. Reference KingKing (2002) compiled 70 GPS observations over the Amery Ice Shelf over the period 1988–99. Of these, 49 sites have velocity measurements, V GPS (Fig. 2c). The precision (1σ) of the GPS velocities is 2.2 m a−1 for the 1988–91 data and 0.9 m a−1 for the 1995–99 data (Reference KingKing, 2002; Reference King, Coleman, Morgan and HurdKing and others, 2007). We have compared these GPS velocity measurements with the InSAR velocities (V InSAR), and the statistics of the differences between GPS and InSAR measurements are summarized in Table 1. The maximum difference is up to 30 m a−1, and the mean difference is 4.41 ± 9.7 m a−1.
Surface elevation data
Previous studies show that marine ice accretion occurs under the base of the Amery Ice Shelf through basal freezing processes, and the marine ice area accounts for 40% of the ice shelf, mostly in the northwestern part (Reference Fricker, Popov, Allison and YoungFricker and others, 2001; Reference Wang, Wen, Liu, Jezek and CsathoWang and others, 2006). Airborne radio-echo sounding (RES) signals may not penetrate the marine ice layer (Reference Fricker, Popov, Allison and YoungFricker and others, 2001), so the ice thickness measured by RES may exclude the marine ice layer. In this study, the surface elevation data were used to estimate the ice thickness based on the assumption of hydrostatic equilibrium of the floating ice shelf (Reference Joughin and PadmanJoughin and Padman, 2003).
There are several DEMs available for our study area. The Amery Ice Shelf DEM (AIS-DEM; Reference Fricker, Hyland, Coleman and YoungFricker and others, 2000) generated from European Remote-sensing Satellite (ERS-1) altimeter data collected between April 1994 and March 1995 has a 1000 m gridcell size and a vertical uncertainty of 1.7 m (root-mean-square (rms) error). The Geoscience Laser Altimeter System (GLAS)/Ice, Cloud and land Elevation Satellite (ICESat) laser altimetry DEM of Antarctica (ICESat-DEM) was generated from the ICESat laser observations during the first seven operational periods (February 2003–June 2005; J. DiMarzio and others, http://nsidc.org/data/nsidc-0304.html). This DEM has a 500 m grid spacing and is referenced to the World Geodetic System 1984 (WGS84) ellipsoid. By comparing with aircraft laser altimetry data, the overall vertical accuracy of the ICESat DEM is estimated to be 8 ± 82 cm, varying as a function of surface slope (personal communication from J. DiMarzio, 2009).
We used 70 GPS elevation data points (Fig. 1) from Reference KingKing (2002, table 5-12) to validate and compare these two DEMs. The elevation values of the AIS-DEM, which are originally referenced to the Earth Geopotential Model 1996 (EGM96) geoid, were transformed onto the WGS84 ellipsoid. Both the AIS-DEM and the ICESat-DEM were resampled onto a 400 m cell-size grid (to match the MAMM InSAR velocity data) using a bilinear interpolation approach. A comparison of GPS elevations, H GPS, with corresponding gridcell elevations from the DEMs, H DEM, is summarized in Table 2. The average error (difference) is 0.21 m for the ICESat-DEM and 0.67 m for the AIS-DEM. The rms errors for both DEMs are estimated to be 3.80 m. The elevation of the AIS-DEM is on average 0.47 m lower than that of the ICESat-DEM. Given the different data collection periods for the two DEMs, this is in agreement with Reference KingKing and others (2009) who showed that the ice shelf was ∼0.8 m higher on average in 2003 than in 1995.
Column-averaged ice density
Reference Fricker, Popov, Allison and YoungFricker and others (2001) examined the column-averaged ice density over the Amery Ice Shelf using a two-layer density model. However, the density values from this model may be lower than actual values due to an underestimate of the marine ice density. The marine ice contains sea-water cells, and its average density is up to 938 kg m−3 (Reference Craven, Allison, Fricker and WarnerCraven and others, 2009). As a result, the inferred maximum marine ice thickness of 190 m in Reference Fricker, Popov, Allison and YoungFricker and others (2001) is smaller than the actual borehole measurements (Reference CravenCraven and others, 2004, Reference Craven2005). Combining the AIS-DEM, in situ GPS elevations, RES ice thickness, and borehole and ice-core measurements, Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others (2007) modeled the column-averaged ice density of the Amery Ice Shelf for three separate sections. In their model, the ice column-averaged density along the upstream section (0–215 km from the southern grounding line) decreases linearly from 921 to 914.7 kg m−3. Along the middle section (215–315 km), it decreases linearly from 914.7 to 903.5 kg m−3, and along the downstream section (from 315 km to the ice-shelf front) it decreases from 903.5 to 890.5 kg m−3. At AM01, the marine ice thickness using the density from Reference Fricker, Popov, Allison and YoungFricker and others (2001) is estimated to be 141 ± 30 m (Reference Craven, Allison, Fricker and WarnerCraven and others, 2009), while using the density model of Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others (2007) it is estimated as 177 ± 30 m. Both these estimates use the AIS-DEM and Russian airborne RES measurements collected between 1986 and 1995 (Reference Fricker, Popov, Allison and YoungFricker and others, 2001). The estimate using the density model of Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others (2007) is closer to the marine ice thickness measured in the borehole at AM01 of 203 ± 2 m (Reference Craven, Allison, Fricker and WarnerCraven and others, 2009). The column-averaged densities at AM01 and AM04 are 896 and 900 kg m−3 respectively from the model of Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others (2007), slightly less than the values of 898 and 906 kg m−3 estimated by Reference Craven, Allison, Fricker and WarnerCraven and others (2009). Due to its better performance, the density model of Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others (2007) is hence used in this paper.
Ice thickness
The ice-thickness distribution Z is generated from the ICESat-DEM surface elevation H by applying the hydrostatic equation (5) with a sea-water density ρ w of 1028 kg m−3 (e.g. Reference Craven, Allison, Fricker and WarnerCraven and others, 2009) and the above ice density model. The ICESat-DEM was first converted to orthometric heights relative to a Gravity Recovery and Climate Experiment (GRACE)-based static geoid model (EIGEN-GL04C; http://icgem.gfz-potsdam.de/ICGEM/ICGEM.html). This model has improved the previous global geoid model (with errors up to ±3 m over the Amery Ice Shelf region) by up to an order of magnitude. There are some small patches near Gillock Island (Fig. 1, patches in white) with missing data in the ICESat-DEM, and the AIS-DEM was used here.
Net surface accumulation
Annual net surface accumulation data have been compiled by Reference Vaughan, Bamber, Giovinetto, Russell and CooperVaughan and others (1999) and Reference Giovinetto and ZwallyGiovinetto and Zwally (2000) based on essentially the same field measurements collected from the 1950s to 1990s, but using different analysis and interpolation criteria. We refer to these as the Vaughan and Giovinetto compilations respectively. The latter was checked and amended (personal communication from M. Giovinetto, 2005) and we refer to this updated version as the modified compilation. These three original accumulation compilations were interpolated onto a 5 km cell-size grid using the kriging interpolation method. By comparing on a cell-by-cell basis, we find that the modified compilation is similar to the Giovinetto compilation, with a mean difference of −9 ± 13 mm a−1, but rather different from the Vaughan compilation, with a mean difference of −32 ± 42 mm a−1 over the Amery Ice Shelf.
In situ accumulation rate measurements, , for the Amery Ice Shelf are available from stakes and firn-core records from 1968 to 1970 (Reference Budd, Corry and JackaBudd and others, 1982) and from recent automatic weather station (AWS) measurements. Reference Budd, Corry and JackaBudd and others (1982) showed an inverse linear dependence of the accumulation rate with distance from the calving ice front, with net accumulation dropping to zero 300 km from the ocean in Prydz Bay. Since 1968 the front of the Amery Ice Shelf has advanced >30 km into Prydz Bay, and Reference Craven, Allison, Fricker and WarnerCraven and others (2009) adjusted the Reference Budd, Corry and JackaBudd and others (1982) accumulation distribution near the front of the shelf to lower values in order to account for the presently larger distance to the ice front. This adjustment is supported by accumulation measurements from an AWS that operated for almost 5 years (2002–06) at AM01. Net accumulation at a location further away from the ice-shelf front is influenced not only by the distance to the ocean but also by other factors such as summer melt. An AWS at AmeryG3 (Fig. 1) has operated for more than 10 years (1999–2008), and the observed net accumulation is very similar to that measured at the same geographic location in the late 1960s.
The above field and AWS measurements are compared with the Vaughan and the Giovinetto modified compilations in Figure 3. We find that the values from the modified compilation, , are closer to the field and AWS measurements than the Vaughan compilation, . Hence we use the modified Giovinetto compilation for accumulation.
Firn-core records show that accumulation rates have increased since the 1970s on the east side, but decreased on the west side of the Lambert Glacier basin (Reference Xiao, Ren, Qin, Li, Sun and AllisonXiao and others, 2001). From the decadal-level accumulation variations modeled by Reference MonaghanMonaghan and others (2006), Reference KingKing and others (2009) inferred that the region around the Amery Ice Shelf experienced a ∼5% reduction in accumulation over the period 1955–95 followed by a ∼15% increase in accumulation over the period 1995–2004.
We estimate an uncertainty of ±50 mm a−1 in the average accumulation data over decadal periods for the northern part of the Amery Ice Shelf.
Data Processing and Error Analysis
We first attempted to calculate the basal melting and freezing rates at a 400 m cell-size grid. But because of random errors in the velocity and ice-thickness fields, some melting/freezing rates were unrealistically variable and high (up to hundreds of metres per year). Although differences between the GPS and InSAR velocities are mostly <10 m a−1, a few differences are >20 m a−1. Errors in ice thickness are due to errors in the DEM and the column-averaged ice density, and while most ICESat-DEM elevations are generally within ±5 m of the GPS measurements (Fig. 4), a few elevation outliers are up to 10 m different. Therefore, we calculated the rates over larger areas, rather than the original 400 m gridcells. We defined 56 squares on the Amery Ice Shelf, each with an area of 25 km × 25 km (Fig. 5). The use of 25 km squares as the basic spatial unit for our numerical analysis increases the signal-to-noise ratio through averaging and making each square estimate more reliable. Around the edge of the ice shelf, an additional 20 smaller rectangles were defined so that the basal melting and freezing data have a relatively homogeneous distribution over the entire ice shelf (Fig. 5). In order to test the sensitivity to square size, we also calculated the basal melting rates on 20 km × 20 km squares as discussed below.
For each square we determined the fluxes in both the x and y directions (Equation (3)) from the averaged ice velocity and thickness values along each side of the square and converted the melting/freezing rates to water equivalent. The four ice rises were excluded from our calculation (Fig. 1).
The basal melting and freezing rates, , for the 76 defined squares and rectangles on the Amery Ice Shelf are calculated using Equation (3). The value shown in Table 3 is assigned to the geometrical center of each square or rectangle. The spatial distributions of the melting/freezing rates beneath the Amery Ice Shelf shown in Figure 6 were obtained by interpolating the 76 points (Table 3) together with 18 points along flowbands originating from Lambert, Mellor and Fisher glaciers from a previous study of Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others (2007). The additional 18 points from Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others (2007) were calculated using the AIS-DEM and the same velocity data and density model. These values have a similar uncertainty to the present study. They are used to supplement melting rates near the ice front and the southern grounding line areas. The interpolation was made using an ordinary kriging method in ArcGIS, and the interpolation result is a smooth melting/freezing rate grid with a 400 m cell size. The empirical variogram was modeled as an exponential function that was applied when spatial autocorrelation decreases exponentially with increasing distance. This function may provide the best fit through the points as the melting rates decrease rapidly downstream from the southern grounding line. The fit parameters were: number of lags =12, range = 35 000 m and nugget = 0.1 m a−1.A quadrant neighborhood was defined to enclose the points used to predict values at unmeasured locations, and in each quadrant/sector of the search neighborhood a maximum of five and a minimum of two data points were used to contribute to an interpolated value.
We assess the errors and their propagation in our calculation of basal melting and freezing rates. The main error sources involved in calculating the ice thickness Z are errors in the column-averaged ice density ρi and the ICESat-DEM elevation H. The relative error, ΔZ/Z, in ice thickness is approximated by
where elevations are typically ∼100 m, and accurate to better than 3 m with the improved geoid model. The average density of the ice column is typically 908 kg m−3 and has an uncertainty of ∼5 kg m−3 (Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others, 2007). The uncertainty of sea-water density is probably <2 kg m−3. Using these values, ΔZ/Z is 5.2%. The relative ice-thickness differences between the hydrostatic estimates and borehole measurements are 2.7% at AM01 (with a borehole measured thickness of 479 ± 2 m), 1.1% at AM02 (373 ± 2 m), 2.5% at AM03 (722 ± 2 m) and 6.3% at AM04 (603 ± 2 m) (Reference CravenCraven and others, 2004, Reference Craven, Allison, Fricker and Warner2009; personal communication from M. Craven, 2009). This comparison with the in situ borehole measurements suggests that the estimated ice-thickness uncertainty of 5.2% is reasonable.
The errors involved in calculating the basal melting and freezing rates include the errors in ice thickness, ice velocity components, column-averaged ice density and annual net accumulation. The error of ice velocity components is estimated to be about 10 m a−1. Uncertainties of ice fluxes (Φ x , Φ y ) were estimated to be about 10%. Over the northern portion of the Amery Ice Shelf, the uncertainty of the basal melting/freezing rate is possibly up to 0.5 m a−1, and the error of annual net accumulation could make an important contribution to the errors of basal melting and freezing rates where they are smaller than ±0.5 m a−1. Over the southern portion, the uncertainty of annual net accumulation is insignificant compared to the basal melting rate, and the uncertainty of the basal melting/freezing rate is possibly up to 20%, mainly due to the errors in ice-thickness and ice-velocity components. An overall uncertainty of 15% is assumed for the total basal melting and freezing.
Although the trend of elevation change over the Amery Ice Shelf between 1968 and 2007 is not significantly different from zero, there have been two shorter periods of average elevation change exceeding ±0.1 m a−1 (Reference KingKing and others, 2009). The velocity may also have slowed slightly (∼2.2 m a−1 or ∼0.6%) between 1968 and 1999 (Reference King, Coleman, Morgan and HurdKing and others, 2007). Over the 4 year time-span (2000–04) between the InSAR velocity data acquisition and ICESat-DEM data acquisition, elevation and velocity changes may have respectively reached about 0.4 and 8.8 m a−1 if the trends were the same as before 2000. These changes have an insignificant effect on the estimate of the basal melting and freezing, since they are systematic changes and relatively small compared with the elevation (typically 100 m) and ice velocity (typically >300 m a−1)over the ice shelf.
Results and Discussion
The total area of net melting under the Amery Ice Shelf is about 34 700 km2 (Fig. 6). The melting rate has a maximum value of 25.0 ± 4.0 m a−1 averaged over an area of 180 km2 near the southern grounding line and decreases rapidly downstream. Basal freezing primarily occurs beneath the northwest part of the ice shelf. The total area of net freezing is about 26 100 km2, and the area-averaged freezing rate can be as high as 2.4 ± 0.4 m a−1.The total basal melting under the entire ice shelf is 62.5 ± 9.3 Gt a−1, and the total basal freezing is 16.1 ± 2.4 Gt a−1, giving a total net basal mass loss of 46.4 ± 6.9 Gt a−1.
When the melting/freezing rates were calculated on 20 km × 20 km squares, the total area of net melting was 33 700 km2, with total basal melting of 62.2 Gt a−1.The total area of net freezing was 27 100 km2, with total basal freezing of 17.6 Gt a−1. The total net mass loss was 44.6 Gt a−1. The distribution of melting and freezing is very similar to that in Figure 6, with some small differences mostly around the edges of the ice shelf. This indicates that our results are relatively insensitive to the size of the squares over which the melting/freezing rate calculations are performed.
For the whole Lambert Glacier/Amery Ice Shelf system, which includes Antarctic drainage basins 9, 10 and 11, as defined by Reference Giovinetto and ZwallyGiovinetto and Zwally (2000), the ice flux across the grounding line onto the ice shelf is 88.9 ± 8.9 Gt a−1 (Reference WenWen and others, 2008). From the modified Giovinetto compilation, the mean annual accumulation rate over the whole Amery Ice Shelf surface is 162 kg m−2 a−1,giving a total accumulation of 9.8 ± 1.0 Gt a−1. The ice fluxes, Φ, were calculated for three flux gates at the ice-shelf front according to Equation (4). The total ice flux across the gates at the ice-shelf front is 47.2 ± 3.6 Gt a−1. If the Amery Ice Shelf is in steady state, then total net basal melting of 51.5 ± 9.6 G ta−1 is required to balance the sum of the inflow and the integrated accumulation less the mass discharge. This is consistent with the net basal melting of 46.4 ± 6.9 Gt a−1 estimated above.
The freezing beneath the Amery Ice Shelf is distributed within the northwest of the ice shelf (Fig. 6), which is consistent with the marine ice distribution mapped previously by Reference Fricker, Popov, Allison and YoungFricker and others (2001) and Reference Wang, Wen, Liu, Jezek and CsathoWang and others (2006). The freezing area mapped from this research is 26 100 km2, and the area of marine ice from Reference Wang, Wen, Liu, Jezek and CsathoWang and others (2006) is 26 400 km2. The thickest marine ice forms two longitudinal bands, oriented along the ice-flow direction. The distribution of the maximum freezing rates (marked with A and B in Fig. 6) corresponds to the locations of the thickest marine ice, where the freezing rates range between 1.5 ± 0.2 and 2.4 ± 0.4 m a−1. The freezing rates between the two longitudinal bands are relatively low, and slight melting is detected in one patch, though the melting rates are <0.5 m a−1.This patch of melting is not consistent with the marine ice distribution, and may be caused by the combined errors in the ice thickness, the column-averaged ice density, annual net accumulation and velocity data, which may result in an uncertainty of the basal melting/freezing rate of up to 0.5 m a−1. Based on the temperature and salinity gradients of the ocean/ice interface measured at AM02, Reference CravenCraven and others (2004) estimated a minimum melting rate of 0.5 m a−1, compared to our result of 0.3 ± 0.2 m a−1. Reference Craven, Allison, Fricker and WarnerCraven and others (2009) determined an average accretion rate of marine ice of 1.1 ± 0.2 m a−1 between AM01 and AM04, and inferred a similar average rate upstream of 1.3 ± 0.2 m a−1 between AM04 and JP (Fig. 1), with a reference density of 920 kg m−3. Our estimates at the corresponding locations are 0.86 ± 0.2 and 0.71 ± 0.2 m a−1,respectively.
Melting of 1.0–1.6 m a−1 near the ice front (Fig. 6) is caused by tidal pumping and the seasonally warmer waters of the coastal current (Reference Jacobs, Hellmer, Doake, Jenkins and FrolichJacobs and others, 1992). It varies, however, along the ice front from east to west. At the front of the thick bands of accreted marine ice, the extent and magnitude of melting is smaller or zero. The sub-freezing ice-shelf water beneath the bands possibly mitigates the melting associated with the tidal pumping (Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others, 2007).
Our estimates for the total melting, freezing and net melting beneath the Amery Ice Shelf are considerably larger than the previous results from numerical simulations (Reference Hellmer and JacobsHellmer and Jacobs, 1992; Reference Williams, Grosfeld, Warner, Gerdes and DetermannWilliams and others, 2001; Reference HellmerHellmer, 2004). These model estimates, however, all used a smaller and shallower sub-shelf cavity, based on the grounding line position of Reference Budd, Corry and JackaBudd and others (1982). The grounding line of the Amery Ice Shelf has been redefined and shifted about 240 km upstream (Reference FrickerFricker and others, 2002; Reference RignotRignot, 2002). Modeling studies of simplified ice-shelf cavities by Reference Holland, Jenkins and HollandHolland and others (2008) show the strong effect of cavity shape on basal melting rates. Reference WilliamsWilliams (1999) found that the melting and freezing pattern from a sub-iceshelf model varies significantly when the cavity is extended to that defined by Reference FrickerFricker and others (2002). The different dimensions of the sub-ice cavity as defined by the previous position of the grounding line are responsible for these smaller simulated values (Reference Galton-Fenzi, Maraldi, Coleman and HunterGalton-Fenzi and others, 2008).
Melting processes beneath ice shelves are governed by the transport of ocean heat and by the sea-water freezing temperature (Reference DoakeDoake, 1976). The ice draft at the grounding line location defined by Reference Budd, Corry and JackaBudd and others (1982) is only about 700 m, whereas at the redefined southern grounding line it is >2000 m. The in situ sea-water freezing point is lower at greater depth, and the difference between this and the ocean temperature is greater, resulting in a higher melting rate. From our present study the area-averaged melting rate is up to 25 ± 4.0 m a−1 at the redefined grounding line, which is similar to the 31 ± 5 m ice a−1 reported by Reference Rignot and JacobsRignot and Jacobs (2002), whereas it is only 0.5–1.0 m a−1 at the location given by Reference Budd, Corry and JackaBudd and others (1982). More than 80% of the continental ice from Lambert, Mellor and Fisher glaciers is lost through basal melting beneath the southernmost 240 km of the Amery Ice Shelf (Reference Wen, Jezek, Csatho, Herzfeld, Farness and HuybrechtsWen and others, 2007; Reference Craven, Allison, Fricker and WarnerCraven and others, 2009).
Our estimate of the net melting beneath the shelf is also larger than that estimated from oceanographic measurements in Prydz Bay (Reference Wong, Bindoff, Forbes, Jacobs and WeissWong and others, 1998). A possible reason for this difference is the small number of hydro-graphic measurements across the ice-shelf front available to Reference Wong, Bindoff, Forbes, Jacobs and WeissWong and others (1998), and seasonal and interannual variability in the melting rate.
Conclusions
We have assessed the distribution of basal melting and freezing rates under the Amery Ice Shelf by integrating a variety of datasets. Our results show that the areal extents of the basal melting and freezing under the ice shelf are 34 700 and 26 100 km2, respectively. The average melting rate over the melting region is ∼1.8 ± 0.3 m a−1,and the maximum melt rate is ∼25.0 ± 4.0 m a−1 (averaged over an area of 180 km2) under the deepest ice near the southern grounding line. The total amount of melt is 62.5 ± 9.3 Gt a−1. Basal freezing is located in the northwest region of the ice shelf, and the highest freezing rate is 2.4 ± 0.4 m a−1. The total basal accretion of marine ice is estimated to be 16.2 ± 2.4 Gt a−1. The total net loss of mass beneath the ice shelf is 46.4 ± 6.9 Gt a−1, which is consistent with the difference (51.5 ± 10.1 Gt a−1) between mass input to the ice shelf (the sum of inland ice inflow plus the total surface accumulation on the ice shelf) and mass output through the ice-shelf front.
A map of the melting and freezing rates was generated using a kriging interpolation method. This map shows that the basal freezing and corresponding basal marine ice are characterized by the two longitudinal bands along the ice-flow direction. This pattern is in agreement with the marine ice distribution mapped by Reference Fricker, Popov, Allison and YoungFricker and others (2001) and Reference Wang, Wen, Liu, Jezek and CsathoWang and others (2006). The net melting accounts for about 50% of the total mass loss from the ice shelf. This is far greater than a typical ratio (about 30%) of the basal melting to the total mass loss for ice shelves (Reference Jacobs, Hellmer and JenkinsJacobs and others, 1996). Basal melting and freezing under the Amery Ice Shelf play a critical role in the ice-shelf mass balance, and the interaction at the ice/ocean interface beneath the ice shelf may be more intensive than was thought previously.
Acknowledgements
This work was supported by the National Natural Science Foundation of China through grants 40871035 and 40730526, the Shanghai Municipal Education Commission, the Shanghai Education Development Foundation through grants 05SG46 and S30406, and the Leading Academic Discipline Project of Shanghai Normal University through grant DZL801. K. Jezek was partially supported by the Center for Remote Sensing of Ice Sheets (CReSIS), University of Kansas. Jiahong Wen expresses gratitude to the Antarctic Climate and Ecosystems Cooperative Research Centre for hosting a visit to Hobart to complete the paper. We also thank M.B. Giovinetto for providing accumulation compilations, R. Coleman, N. Young, H.A. Fricker, J. DiMarzio and M. Craven for providing the geoid model, grounding line, DEM and in situ GPS and accumulation data over the Amery Ice Shelf, and R. Warner for valuable suggestions. Constructive comments and suggestions from M. King and two anonymous reviewers have been very helpful in improving this paper.