In 2007, Denmark launched the Programme for Monitoring of the Greenland Ice Sheet (PROMICE) to assess changes in the mass balance of the ice sheet. The two major contributors to the ice sheet mass loss are surface melt and a larger production of icebergs through faster ice flow. PROMICE is focused on both processes. Ice movement and discharge is tracked by satellites and GPSs. The surface mass balance is monitored by a network of weather stations in the melt zone of the ice sheet, providing ground truth data to calibrate mass budget models.

The Greenland Climate Network (GC-Net) was established in 1995 by Prof. Konrad Steffen at CIRES, to obtain knowledge of the mass gain and climatology of the ice sheet. The programme was funded by the USA until 2020, at which point Denmark assumed responsibility for the operation and maintenance of the weather station network. The snowfall and climatology are monitored by a network of weather stations in the accumulation zone of the ice sheet, supplemented by satellite-derived data products.

Together, the two monitoring programmes deliver data about the mass balance of the Greenland ice sheet in near real-time. Explore our project dataverses and datasets below.
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4,031 to 4,040 of 4,043 Results
Greenland Ecosystem Monitoring (GEM) discharge data used by Mankoff et al. (2020)
Feb 26, 2021 - Freshwater Runoff
Langley, Kirsty, 2020, "Greenland Ecosystem Monitoring (GEM) discharge data used by Mankoff et al. (2020)", https://doi.org/10.22008/asiaq/data/meltwater_discharge/gem, GEUS Dataverse, V2
Data comes from Kirsty Langley at the Asiaq-Greenland Survey, Nuuk, Greenland, is collected as part of the Greenland Ecosystem Monitoring Programme (GEM) project. The data is available from the GEM website ( https://data.g-e-m.dk/ ) but here is collected into one CSV file and inc...
Albedo regression of the Greenland ice sheet
Albedo regression of the Greenland ice sheet
Dec 23, 2020 - Student reports
Wim Damgaard Rothuizen; Thomas Anthony Hymas, 2020, "Albedo regression of the Greenland ice sheet", https://doi.org/10.22008/FK2/QWZ5HL, GEUS Dataverse, V1
The project investigates the use of machine learning regression algorithms to estimate the broadband albedo factor on the Greenland Ice Sheet. The algorithms use data from the Ocean and Land Color Instrument (OLCI) on the Sentinel 3 Satellite and compare it to in-situ measurement...
Greenland ice sheet meltwater runoff from the Kangerlussuaq and Isunnguata Sermia catchments using observation-based surface energy balance modeling (2009-2019)
Nov 6, 2020
van As, D.; Fausto, R. S.; Meierbachtol, T.; Box, J. E.; Claesson Liljedahl, L., 2020, "Greenland ice sheet meltwater runoff from the Kangerlussuaq and Isunnguata Sermia catchments using observation-based surface energy balance modeling (2009-2019)", https://doi.org/10.22008/FK2/GUW0Y8, GEUS Dataverse, V1
Background: This readme provides limited metadata for the Greenland ice sheet meltwater runoff from the Kangerlussuaq / Watson River and Isunnguata Sermia catchments in southwest Greenland. A more complete description of this product can be found in: Van As D, Bech Mikkelsen A, H...
Discharge measurement at the outlet stream of Qaanaaq Glacier in the summer 2017−2019
Oct 23, 2020 - Freshwater Runoff
Kondo, Ken, 2020, "Discharge measurement at the outlet stream of Qaanaaq Glacier in the summer 2017−2019", https://doi.org/10.22008/hokkaido/data/meltwater_discharge/qaanaaq, GEUS Dataverse, V2
Data comes from Ken Kondo and Shin Sugiyama at the Institute of Low Temperature Science, Hokkaido University, Japan. Additional details on the data collection can be found in the DischargeMeasurement200214.pdf file in this dataset Gauge location: 77.475273975 N, -69.303039228 E
Snow and Firn temperature on the Greenland’s ice sheet
Sep 11, 2020 - Student reports
Rasmussen, Magne E., 2020, "Snow and Firn temperature on the Greenland’s ice sheet", https://doi.org/10.22008/FK2/59EKFO, GEUS Dataverse, V2
Firn temperatures from the Greenland ice sheet have been collected, analyzed and combined to perform results concerning selected locations and the entire ice sheet. The purpose has been to investigate whether the recent atmospheric warming observed at the Greenland ice sheet has...
Remote sensing of Greenland ice sheet surface characteristics using Sentinel 3 satellites
Sep 11, 2020 - Student reports
Schweisthal, Louis, 2020, "Remote sensing of Greenland ice sheet surface characteristics using Sentinel 3 satellites", https://doi.org/10.22008/FK2/CNQASU, GEUS Dataverse, V1
In recent decades, changes of global climate have had a profound effect on the cryosphere and in particular on polar glaciers. These glaciers, such as those in Greenland, have an important role in the global climate regulation via their low albedo, drive major currents by pouring...
The Effects of Meltwater, Refreezing and Modelled Grain Size on Snow Albedo: Gaining Knowledge from Observations at Weather Stations and Numerical Modelling
Sep 11, 2020 - Student reports
Saunderson, Dominic, 2020, "The Effects of Meltwater, Refreezing and Modelled Grain Size on Snow Albedo: Gaining Knowledge from Observations at Weather Stations and Numerical Modelling", https://doi.org/10.22008/FK2/LF0F4X, GEUS Dataverse, V1
The extent to which snow and ice surfaces undergo melt is mainly dictated by their absorption of shortwave radiation, and thus the surface albedo is a critical parameter for accurately modelling the surface energy balance and mass balance of the Greenland Ice Sheet (GrIS). Multip...
Mapping the hydrological system of the Greenland ice sheet in coarse satellite products with a machine learning approach
Sep 11, 2020 - Student reports
Kacperski, Kamil, 2020, "Mapping the hydrological system of the Greenland ice sheet in coarse satellite products with a machine learning approach", https://doi.org/10.22008/FK2/YWC9XA, GEUS Dataverse, V1
This paper utilizes supervised machine learning approach to infer presence of water features in Moderate Resolution Imaging Spectroradiometer imagery of Greenland ice sheet in the area UPE_U PROMICE automatic weather station (AWS). Reference dataset consisted of water feature mas...
Validation of remotely sensed snow liquid water content on the Greenland ice sheet at the PROMICE weather station sites
Sep 11, 2020 - Student reports
Aaslyng Dall, Maja, 2020, "Validation of remotely sensed snow liquid water content on the Greenland ice sheet at the PROMICE weather station sites", https://doi.org/10.22008/FK2/HQAEW3, GEUS Dataverse, V1
Surface melt on the Greenland Ice Sheet has been estimated using L-band radiometer data measured by the SMOS satellite. This data has previously been validated with the focus of correct binary detection of melt. In this thesis, the validation will extend to correct detection of t...
Detection of slush on the Greenland Ice Sheet using Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery
Sep 11, 2020 - Student reports
Wu, Victor, 2020, "Detection of slush on the Greenland Ice Sheet using Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery", https://doi.org/10.22008/FK2/8WAXJH, GEUS Dataverse, V1
Sea Level Rise (SLR) is a growing global concern that is heavily influenced by a warming climate. Because of a potentially large added mass to the ocean through ice melt, the Greenland Ice Sheet (GrIS) plays an important role in the contribution to SLR. The presence of slush on G...
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