scholarly journals Temporal variations in Antarctic ice sheet surface accumulation observed withsnow depthsensors in automatic weather stations

2021 ◽  
Vol 83 (1) ◽  
pp. 67-77
Author(s):  
Naohiko HIRASAWA ◽  
Hideaki MOTOYAMA ◽  
Kyohei YAMADA ◽  
Konosuke SUGIURA ◽  
Naoyuki KURITA
1982 ◽  
Vol 28 (99) ◽  
pp. 315-323 ◽  
Author(s):  
V. I. Morgan

AbstractCollected data on the mean annual surface values forδ18O over Antarctica have been tabulated and also presented in map form. An additional map shows contours of constantδ18O values.


Nature ◽  
2009 ◽  
Vol 460 (7256) ◽  
pp. 766-766 ◽  
Author(s):  
Eric J. Steig ◽  
David P. Schneider ◽  
Scott D. Rutherford ◽  
Michael E. Mann ◽  
Josefino C. Comiso ◽  
...  

1994 ◽  
Vol 20 ◽  
pp. 137-142 ◽  
Author(s):  
D. Yi ◽  
C.R. Bentley

The precision of satellite-radar altimetry over the Antarctic ice sheet can be improved by using a physically based retracking algorithm on the altimeter returns ("wave forms"). Ridley and Partington (1988) have shown that both surface and volume-scattering affect the shape of the return. Here, we develop a model that is based on a variable combination of surface- and volume-scattering and determine the model parameters through least-square fitting to the observed wave forms. The model parameters include surface roughness, proportion of volume-scattering, extinction coefficient and an amplitude coefficient. Geosat data collected over a test sector of the East Antarctic ice sheet have been analyzed to find quantitative estimates of seasonal and geographic variations of the several parameters. Our results show that the effect of volume-scattering can change the elevation measurement over the inland part of the East Antarctic ice sheet by more than I m and that there are both spatial and temporal variations; temporal variations are less significant than spatial variations.


2015 ◽  
Vol 465 (1) ◽  
pp. 1177-1181
Author(s):  
V. M. Kotlyakov ◽  
L. N. Vasiliev ◽  
A. B. Kachalin ◽  
M. Yu. Moskalevsky ◽  
A. S. Tyuflin

1982 ◽  
Vol 3 ◽  
pp. 83-91 ◽  
Author(s):  
D.J. Drewry ◽  
S.R. Jordan ◽  
E. Jankowski

Results of airborne radio echo-sounding (RES) in Antarctica are presented. Flight tracks covering 50% of the Antarctic Ice sheet on a 50 to 100 km square grid, flown using Inertial navigation, have errors <<5 km. Ice thicknesses determined from 35, 60, and 300 MHz RES records are accurate to 10 m or 1.5% thickness (whichever is greater). Altimetry, determining surface and sub-surface elevations, after corrections have errors <<50 m. An up-to-date coastline compiled from satellite imagery and all recent sources has frequencies for various coastal types of: ice shelves (44%), ice streams/outlet glaciers (13%), ice walls (38%), and rocks (5%). A new map of the ice sheet surface has been compiled from 101 000 RES data points, 5 000 Tropical Wind, Energy conversion and Reference Level Experiment (TWERLE) balloon altimetry points, geodetic satellite and selected traverse elevations. The volume of the Antarctic ice sheet Including ice shelves has been calculated principally from RES data using various techniques as 30.11±2.5 × 106 km3. Frequency distributions for subgladal bedrock elevations for East and West Antarctica are presented. They conform approximately to Gaussian (normal) functions.


1998 ◽  
Vol 10 (3) ◽  
pp. 223-223
Author(s):  
Ian D. Goodwin

The spatial configuration of the Antarctic ice sheet has fluctuated widely during the Late Quaternary, primarily in response to climate and sea-level forcings. Ice core time-series have long been used as proxy climate records for the Antarctic ice sheet surface and polar atmosphere, and there has been a major multinational effort to drill ice cores on or near the summit of ice domes to retrieve the longest possible records. The annual layering of ice accumulation has afforded high resolution proxy climate records on annual to decadal intervals, spanning a few hundred to hundreds of thousands of years. These time-series have also detailed the changes in the ice sheet surface elevation and dynamics, particularly since the transition from glacial to Holocene climate. However, ice sheet sensitivity to external forcings and the associated fluctuations in ice volume are probably best researched around the ice sheet's margins. The sedimentary record in these circumAntarctic margins holds the key to our unravelling of past and future responses of the Antarctic ice sheet and circumpolar oceans to climate and environmental change, including: fluctuations in ice volume; the distribution of ice shelves; the production of Antarctic bottom water; the variability in the fast ice and pack ice characteristics; biogeochemical cycling and marine productivity; and the evolutionary response of marine and terrestrial species and ecosystems.


1982 ◽  
Vol 3 ◽  
pp. 83-91 ◽  
Author(s):  
D.J. Drewry ◽  
S.R. Jordan ◽  
E. Jankowski

Results of airborne radio echo-sounding (RES) in Antarctica are presented. Flight tracks covering 50% of the Antarctic Ice sheet on a 50 to 100 km square grid, flown using Inertial navigation, have errors &lt;&lt;5 km. Ice thicknesses determined from 35, 60, and 300 MHz RES records are accurate to 10 m or 1.5% thickness (whichever is greater). Altimetry, determining surface and sub-surface elevations, after corrections have errors &lt;&lt;50 m. An up-to-date coastline compiled from satellite imagery and all recent sources has frequencies for various coastal types of: ice shelves (44%), ice streams/outlet glaciers (13%), ice walls (38%), and rocks (5%). A new map of the ice sheet surface has been compiled from 101 000 RES data points, 5 000 Tropical Wind, Energy conversion and Reference Level Experiment (TWERLE) balloon altimetry points, geodetic satellite and selected traverse elevations. The volume of the Antarctic ice sheet Including ice shelves has been calculated principally from RES data using various techniques as 30.11±2.5 × 106km3. Frequency distributions for subgladal bedrock elevations for East and West Antarctica are presented. They conform approximately to Gaussian (normal) functions.


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