Contact for the resource

Geological Survey of Denmark and Greenland

4 record(s)
 
Type of resources
Topics
Keywords
Contact for the resource
Provided by
Years
Representation types
Update frequencies
status
From 1 - 4 / 4
  • A 9.5 m long gravity core (PS100-198GC) and 44 cm box core (PS100-198BC) were collected from the same location from a water depth of 398 m from the Norske Trough on the inner continental shelf of NE Greenland. The material was collected during cruise PS100 of the RV Polarstern to NE Greenland in 2016 to investigate the interaction between the Northeast Greenland Ice Stream (NEGIS) and ocean circulation through the Holocene. The following parameters were measured: GEOTEK Multi-Sensor Core Logger (MSCL, gravity core only, Durham University, DU); foraminiferal faunal analysis (DU) and stable isotopes (oxygen and carbon, measured at the NERC National Environmental Isotope Facility); carbon analysis (box core only, DU); dinoflagellate cysts and other palynomorphs (box core only, Geological Survey of Denmark and Greenland, GEUS); sea ice biomarkers (IP25 and HBI III, box core only, University of Helsinki). This research was supported by the following grants: Alfred Wegener Institute (AWI) grant for ship time: AWI_PS100_01; NERC standard grant: NE/N011228/1; NERC National Environmental Isotope Facility grant: IP-1816-0618; NERC Radiocarbon Facility grant: NRCF010001, allocation no. 2113.0418; Independent Research Council Denmark grant to Sofia Ribeiro: 9064-00039B.

  • This dataset contains the position and depth of four spatially-extensive Internal Reflecting Horizons (or IRHs) traced on the British Antarctic Survey's PASIN system and NASA Operation IceBridge's MCoRDS2 system across the Pine Island Glacier catchment. Using the WAIS Divide ice-core chronology and a 1-D steady-state model, we assign ages to our four IRHs: (R1) 2.31-2.92 ka, (R2) 4.72 +/- 0.28 ka, (R3) 6.94 +/- 0.31 ka, and (R4) 16.50 +/- 0.79 ka. This project was funded by the UK Natural Environment Research Council Grant NE/L002558/1

  • This dataset consists of the time series of mass change of the Greenland Ice Sheet and its contribution to global sea level between 1980 and 2018 derived from satellite measurements. The dataset presented here is a reconciled estimate of mass balance estimates from three independent satellite-based techniques - gravimetry, altimetry and input-output method - and its associated uncertainty. This dataset is part of the Ice Sheet Mass Balance Inter-comparison Exercise (IMBIE). The total mass change as well as the partition between surface and dynamics mass balance are provided in this dataset. This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise (IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001). ***** PLEASE BE ADVISED TO USE UPDATED DATA ***** The expanded data set (see 'Related Data Set Metadata' link below) has an additional 24 months of measurements, and also includes data for Antarctica.

  • This dataset contains rates of mass change and cumulative mass change and their associated uncertainty for the Antarctic Ice Sheet (in its entirety and split into West Antarctica, East Antarctica and the Antarctic Peninsula), the Greenland Ice Sheet, and their sum between 1992 and 2020. The data are reconciled estimates of mass balance from three independent satellite-based techniques: altimetry, gravimetry and input-output method. This dataset is part of the Ice Sheet Mass Balance Intercomparison Exercise (IMBIE). This work is an outcome of the Ice Sheet Mass Balance Inter-Comparison Exercise IMBIE) supported by the ESA Climate Change Initiative and the NASA Cryosphere Program. Andrew Shepherd was additionally supported by a Royal Society Wolfson Research Merit Award and the UK Natural Environment Research Council Centre for Polar Observation and Modelling (cpom30001).