Browsing by Subject "Antarctica"
Now showing items 1-6 of 6
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Anti‐Phased Miocene Ice Volume and CO2 Changes by Transient Antarctic Ice Sheet Variability
; ; (Paleoceanography and Paleoclimatology, 2020-11-24)
Geological evidence indicates large continental‐scale Antarctic ice volume variations during the early and mid‐Miocene. On million‐year timescales, these variations can largely be explained by equilibrium Antarctic ice ... -
Atmospheric and Oceanographic Signatures in the Ice Shelf Channel Morphology of Roi Baudouin Ice Shelf, East Antarctica, Inferred From Radar Data
; Schannwell, C.; ; ; ; (Journal of Geophysical Research: Earth Surface, 2020-07-09)
Ice shelves around Antarctica can provide back stress for outlet glaciers and control ice sheet mass loss. They often contain narrow bands of thin ice termed ice shelf channels. Ice shelf channel morphology can be interpreted ... -
Compound-Specific Radiocarbon Analysis of (Sub-)Antarctic Coastal Marine Sediments—Potential and Challenges for Chronologies
; ; ; ; ; (Paleoceanography and Paleoclimatology, 2020)
In Antarctic and Subantarctic environments, 14C-based age determination is often challenging due to unknown reservoir effects, low organic carbon contents of sediments, and high contributions of petrogenic (14C-free) carbon ... -
Detailed Seismic Bathymetry Beneath Ekström Ice Shelf, Antarctica: Implications for Glacial History and Ice‐Ocean Interaction
; ; ; Gaedicke, Christoph; ; ; ; ; ; ; Lambrecht, Astrid; Läufer, Andreas; ; ; ; (Geophysical Research Letters, 2020-05-20)
The shape of ice shelf cavities are a major source of uncertainty in understanding ice‐ocean interactions. This limits assessments of the response of the Antarctic ice sheets to climate change. Here we use vibroseis seismic ... -
Predictability of Antarctic Sea Ice Edge on Subseasonal Time Scales
; ; (Geophysical Research Letters, 2019)
Coupled subseasonal forecast systems with dynamical sea ice have the potential of providing important predictive information in polar regions. Here, we evaluate the ability of operational ensemble prediction systems to ... -
Predicting Geothermal Heat Flow in Antarctica With a Machine Learning Approach
; (Journal of Geophysical Research: Solid Earth, 2021-06-10)
We present a machine learning approach to statistically derive geothermal heat flow (GHF) for Antarctica. The adopted approach estimates GHF from multiple geophysical and geological data sets, assuming that GHF is substantially ...