Elevation Change of the Southern Greenland Ice Sheet

Davis, C.H.; Kluever, Craig A.; Haines, Bruce

doi:10.1126/science.279.5359.2086

Cited by 99 publications

(65 citation statements)

References 15 publications

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“…Spurious variations can be related to changes in surface backscatter and thus the backscattered power σ 0 of the altimetric signal (Wingham et al, 1998). Commonly, the relationship is determined as a regression coefficient and its influence is removed from the elevation time series (Wingham et al, 1998;Davis and Ferguson, 2004;Zwally et al, 2015). Figure 6 displays monthly averages of the crossover differences between the kinematic GNSS profiles and different CryoSat-2 LRM data sets.…”

Section: Cryosat-2mentioning

confidence: 99%

Validation of satellite altimetry by kinematic GNSS in central East Antarctica

Schröder

Richter

Fedorov³

et al. 2017

The Cryosphere

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Abstract. Ice-surface elevation profiles of more than 30 000 km in total length are derived from kinematic GNSS (GPS and the Russian GLONASS) observations on sledge convoy vehicles along traverses between Vostok Station and the East Antarctic coast. These profiles have accuracies between 4 and 9 cm. They are used to validate elevation data sets from both radar and laser satellite altimetry as well as four digital elevation models. A crossover analysis with three different processing versions of Envisat radar altimetry elevation profiles yields a clear preference for the relocation method over the direct method of slope correction and for threshold retrackers over functional fit algorithms. The validation of CryoSat-2 low-resolution mode and SARIn mode data sets documents the progress made from baseline B to C elevation products. ICESat laser altimetry data are demonstrated to be accurate to a few decimetres over a wide range of surface slopes. A crossover adjustment in the region of subglacial Lake Vostok combining ICESat elevation data with our GNSS profiles yields a new set of ICESat laser campaign biases and provides new, independent evidence for the stability of the ice-surface elevation above the lake. The evaluation of the digital elevation models reveals the benefits of combining laser and radar altimetry.

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Section: Cryosat-2mentioning

confidence: 99%

Validation of satellite altimetry by kinematic GNSS in central East Antarctica

Schröder

Richter

Fedorov³

et al. 2017

The Cryosphere

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“…(1)) to the location of the airborne measurement, through the same bilinear interpolation method as used for the DEM elevation estimate. The elevation change trends were corrected for temporal fluctuations in backscattered power, which can introduce spurious signals in time series of elevation change (Davis and Ferguson, 2004;Khvorostovsky, 2012).…”

Section: Comparison Of Dem To Airborne Elevation Measurements: Observmentioning

confidence: 99%

A new Digital Elevation Model of Antarctica derived from CryoSat-2 altimetry

Slater¹,

Shepherd²,

McMillan³

et al. 2017

Preprint

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Abstract. 10We present a new Digital Elevation Model (DEM) of the Antarctic ice sheet and ice shelves based on 2.5 x 10 8 observations recorded by the CryoSat-2 satellite radar altimeter between July 2010 and July 2016. The DEM is formed from spatio-temporal fits to elevation measurements accumulated within 1, 2 and 5 km grid cells, and is posted at the modal resolution of 1 km.Altogether, 94 % of the grounded ice sheet and 98 % of the floating ice shelves are observed, and the remaining grid cellsNorth of 88 o S are interpolated using ordinary kriging. The median and root mean square difference between the DEM and 15 2.3 x 10 7 airborne laser altimeter measurements acquired during NASA Operation IceBridge campaigns are -0.30 m and 13.50 m, respectively. The DEM uncertainty rises in regions of high slope -especially where elevation measurements were acquired in Low Resolution Mode -and, taking this into account, we estimate the average accuracy to be 9.5 m -a value that is comparable to or better than that of other models derived from satellite radar and laser altimetry.

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“…Associated covariability in snow physical characteristics implies spatial variability in the microwave penetration depth. This makes interpretation of recent Ku band satellite altimeter topographic change estimates difficult [Davis et al, 1998[Davis et al, , 2000Zwally and Brenner, 1989].…”

Section: Introductionmentioning

confidence: 99%