|23–27 May 2022||ESA LPS||LS Sørensen: 4D Greenland results|
J Wuite et al. Monitoring of Surface Melt Processes in Greenland and Antarctica using Sentinel-1 SAR and Metop ASCAT backscatter time series.
D Corr et al. Towards automated mapping of supraglacial hydrology dynamics within an Ice Sheet Digital Twin – lessons learned from the 4D Antarctica and 4D Greenland studies
D Corr et al. Automated mapping of ice sheet supraglacial hydrology using Machine Learning
L Melling et al. Mapping the grounding lines of Greenland’s floating ice tongues using high-resolution digital elevation models
M. McMillan et al.
Outburst of a subglacial lake flood from the surface of the Greenland Ice Sheet.
M. McMillan et al. Resolving the Processes that Drive Ice Sheet Imbalance: Advances in Monitoring Ice Surface Change over the Past 30 Years.
M. McMillan et al. New insight into Greenland’s subglacial hydrology – leveraging high resolution satellite data for a future Digital Twin.
|11 May 2022||EO data in polar regional climate modelling||LS Sørensen: 4D Greenland results|
|May. 23-27, 2022||EGU 2022||LS Sørensen et al. Maximizing the use of remote sensing to quantify Greenland ice sheet runoff|
RYB Nielsen et. al Improved monitoring of subglacial lake activity in Greenland
SB Simonsen et al. Assessing firn water storage from a multi-data firn-model inversion
NB Karlsson et al Monthly-resolved Freshwater Flux from the Greenland Ice Sheet on a Glacier-Basin Scale
J Wuite et al. Monitoring of Key Climate Variables on Glaciers and Ice Sheets using Sentinel-1 SAR.
|Dec, 2021||AGU 2021||LS Sørensen: C22A-04: Results from the 4DGreenland project: Assessing Greenland ice sheet hydrology components from remote sensing|
SB Simonsen: C44C-03: 4DGreenland – Firn water storage
Sebastian B. Simonsen
|Jun. 14-17, 2021||CryoSat-2 10yr Ani.||LS Sørensen: Presented on the efforts in 4DG|
|Apr. 19-30, 2021||EGU 2021||Hansen et al: Antarctic Surface Mass Balance from 1980 to 2017 (Work on one of the firn models in the project)|
Havelund et al: Validation of swath processed Cryosat-2 SARin data with different validation datasets at four different locations
Simonsen et al: A machine learning approach for Greenland ice sheet altimetric mass balance
Karlsson et al: Subglacial Discharge of the Greenland Ice Sheet from Basal Melt
Corr et al: Automated mapping of supraglacial hydrology using Machine Learning
|Dec. 1-17, 2020||AGU 2020||Slater et al. : C054-0002 – High interannual variability in Greenland seasonal melting from CryoSat-2 altimetry|
Otosaka et al: C034-05 – Surface Melting Drives Fluctuations in Airborne Radar Penetration in West Central Greenland (Invited)
|Dec. 1st, 2020||External seminar at Leeds University||Leeson et al.: Activities at Lancaster university including 4D Greenland|
|Oct. 26-30, 2020||2020 EUROPEAN POLAR SCIENCE WEEK||Sørensen et al.: 4DGreenland project presentation|
Solgaard et al.: Ice Sheet Basal Melt: Estimating Frictional Heating