Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3491-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-13-3491-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
19 Jul 2021
Data description paper |
| 19 Jul 2021
| 19 Jul 2021
Greenland ice velocity maps from the PROMICE project
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
Anders Kusk
Technical University of Denmark – National Space Institute, Ørsteds Plads 348, 2800 Kongens Lyngby, Denmark
John Peter Merryman Boncori
Technical University of Denmark – National Space Institute, Ørsteds Plads 348, 2800 Kongens Lyngby, Denmark
Jørgen Dall
Technical University of Denmark – National Space Institute, Ørsteds Plads 348, 2800 Kongens Lyngby, Denmark
Kenneth D. Mankoff
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
Andreas P. Ahlstrøm
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
Signe B. Andersen
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
Michele Citterio
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
Nanna B. Karlsson
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
Kristian K. Kjeldsen
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
Niels J. Korsgaard
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
Signe H. Larsen
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
Robert S. Fausto
The Geological Survey of Denmark and Greenland, Østervoldgade 10, 1350 Copenhagen, Denmark
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Niels J. Korsgaard, Kristian Svennevig, Anne S. Søndergaard, Gregor Luetzenburg, Mimmi Oksman, and Nicolaj K. Larsen
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Baptiste Vandecrux, Robert S. Fausto, Jason E. Box, Federico Covi, Regine Hock, Åsa K. Rennermalm, Achim Heilig, Jakob Abermann, Dirk van As, Elisa Bjerre, Xavier Fettweis, Paul C. J. P. Smeets, Peter Kuipers Munneke, Michiel R. van den Broeke, Max Brils, Peter L. Langen, Ruth Mottram, and Andreas P. Ahlstrøm
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How fast is the Greenland ice sheet warming? In this study, we compiled 4500+ temperature measurements at 10 m below the ice sheet surface (T10m) from 1912 to 2022. We trained a machine learning model on these data and reconstructed T10m for the ice sheet during 1950–2022. After a slight cooling during 1950–1985, the ice sheet warmed at a rate of 0.7 °C per decade until 2022. Climate models showed mixed results compared to our observations and underestimated the warming in key regions.
Louise Sandberg Sørensen, Rasmus Bahbah, Sebastian B. Simonsen, Natalia Havelund Andersen, Jade Bowling, Noel Gourmelen, Alex Horton, Nanna B. Karlsson, Amber Leeson, Jennifer Maddalena, Malcolm McMillan, Anne Solgaard, and Birgit Wessel
The Cryosphere, 18, 505–523, https://doi.org/10.5194/tc-18-505-2024, https://doi.org/10.5194/tc-18-505-2024, 2024
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Under the right topographic and hydrological conditions, lakes may form beneath the large ice sheets. Some of these subglacial lakes are active, meaning that they periodically drain and refill. When a subglacial lake drains rapidly, it may cause the ice surface above to collapse, and here we investigate how to improve the monitoring of active subglacial lakes in Greenland by monitoring how their associated collapse basins change over time.
Dominik Fahrner, Donald Slater, Aman KC, Claudia Cenedese, David A. Sutherland, Ellyn Enderlin, Femke de Jong, Kristian K. Kjeldsen, Michael Wood, Peter Nienow, Sophie Nowicki, and Till Wagner
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-411, https://doi.org/10.5194/essd-2023-411, 2023
Preprint withdrawn
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Marine-terminating glaciers can lose mass through frontal ablation, which comprises submarine and surface melting, and iceberg calving. We estimate frontal ablation for 49 marine-terminating glaciers in Greenland by combining existing, satellite derived data and calculating volume change near the glacier front over time. The dataset offers exciting opportunities to study the influence of climate forcings on marine-terminating glaciers in Greenland over multi-decadal timescales.
Baptiste Vandecrux, Jason E. Box, Andreas P. Ahlstrøm, Signe B. Andersen, Nicolas Bayou, William T. Colgan, Nicolas J. Cullen, Robert S. Fausto, Dominik Haas-Artho, Achim Heilig, Derek A. Houtz, Penelope How, Ionut Iosifescu Enescu, Nanna B. Karlsson, Rebecca Kurup Buchholz, Kenneth D. Mankoff, Daniel McGrath, Noah P. Molotch, Bianca Perren, Maiken K. Revheim, Anja Rutishauser, Kevin Sampson, Martin Schneebeli, Sandy Starkweather, Simon Steffen, Jeff Weber, Patrick J. Wright, Henry Jay Zwally, and Konrad Steffen
Earth Syst. Sci. Data, 15, 5467–5489, https://doi.org/10.5194/essd-15-5467-2023, https://doi.org/10.5194/essd-15-5467-2023, 2023
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The Greenland Climate Network (GC-Net) comprises stations that have been monitoring the weather on the Greenland Ice Sheet for over 30 years. These stations are being replaced by newer ones maintained by the Geological Survey of Denmark and Greenland (GEUS). The historical data were reprocessed to improve their quality, and key information about the weather stations has been compiled. This augmented dataset is available at https://doi.org/10.22008/FK2/VVXGUT (Steffen et al., 2022).
Anja Løkkegaard, Kenneth D. Mankoff, Christian Zdanowicz, Gary D. Clow, Martin P. Lüthi, Samuel H. Doyle, Henrik H. Thomsen, David Fisher, Joel Harper, Andy Aschwanden, Bo M. Vinther, Dorthe Dahl-Jensen, Harry Zekollari, Toby Meierbachtol, Ian McDowell, Neil Humphrey, Anne Solgaard, Nanna B. Karlsson, Shfaqat A. Khan, Benjamin Hills, Robert Law, Bryn Hubbard, Poul Christoffersen, Mylène Jacquemart, Julien Seguinot, Robert S. Fausto, and William T. Colgan
The Cryosphere, 17, 3829–3845, https://doi.org/10.5194/tc-17-3829-2023, https://doi.org/10.5194/tc-17-3829-2023, 2023
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This study presents a database compiling 95 ice temperature profiles from the Greenland ice sheet and peripheral ice caps. Ice viscosity and hence ice flow are highly sensitive to ice temperature. To highlight the value of the database in evaluating ice flow simulations, profiles from the Greenland ice sheet are compared to a modeled temperature field. Reoccurring discrepancies between modeled and observed temperatures provide insight on the difficulties faced when simulating ice temperatures.
Sonika Shahi, Jakob Abermann, Tiago Silva, Kirsty Langley, Signe Hillerup Larsen, Mikhail Mastepanov, and Wolfgang Schöner
Weather Clim. Dynam., 4, 747–771, https://doi.org/10.5194/wcd-4-747-2023, https://doi.org/10.5194/wcd-4-747-2023, 2023
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This study highlights how the sea ice variability in the Greenland Sea affects the terrestrial climate and the surface mass changes of peripheral glaciers of the Zackenberg region (ZR), Northeast Greenland, combining model output and observations. Our results show that the temporal evolution of sea ice influences the climate anomaly magnitude in the ZR. We also found that the changing temperature and precipitation patterns due to sea ice variability can affect the surface mass of the ice cap.
Sarah A. Woodroffe, Leanne M. Wake, Kristian K. Kjeldsen, Natasha L. M. Barlow, Antony J. Long, and Kurt H. Kjær
Clim. Past, 19, 1585–1606, https://doi.org/10.5194/cp-19-1585-2023, https://doi.org/10.5194/cp-19-1585-2023, 2023
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Salt marsh in SE Greenland records sea level changes over the past 300 years in sediments and microfossils. The pattern is rising sea level until ~ 1880 CE and sea level fall since. This disagrees with modelled sea level, which overpredicts sea level fall by at least 0.5 m. This is the same even when reducing the overall amount of Greenland ice sheet melt and allowing for more time. Fitting the model to the data leaves ~ 3 mm yr−1 of unexplained sea level rise in SE Greenland since ~ 1880 CE.
William Colgan, Christopher Shields, Pavel Talalay, Xiaopeng Fan, Austin P. Lines, Joshua Elliott, Harihar Rajaram, Kenneth Mankoff, Morten Jensen, Mira Backes, Yunchen Liu, Xianzhe Wei, Nanna B. Karlsson, Henrik Spanggård, and Allan Ø. Pedersen
Geosci. Instrum. Method. Data Syst., 12, 121–140, https://doi.org/10.5194/gi-12-121-2023, https://doi.org/10.5194/gi-12-121-2023, 2023
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We describe a new drill for glaciers and ice sheets. Instead of drilling down into the ice, via mechanical action, our drill melts into the ice. Our goal is simply to pull a cable of temperature sensors on a one-way trip down to the ice–bed interface. Here, we describe the design and testing of our drill. Under laboratory conditions, our melt-tip drill has an efficiency of ∼ 35 % with a theoretical maximum penetration rate of ∼ 12 m h−1. Under field conditions, our efficiency is just ∼ 15 %.
Inès N. Otosaka, Andrew Shepherd, Erik R. Ivins, Nicole-Jeanne Schlegel, Charles Amory, Michiel R. van den Broeke, Martin Horwath, Ian Joughin, Michalea D. King, Gerhard Krinner, Sophie Nowicki, Anthony J. Payne, Eric Rignot, Ted Scambos, Karen M. Simon, Benjamin E. Smith, Louise S. Sørensen, Isabella Velicogna, Pippa L. Whitehouse, Geruo A, Cécile Agosta, Andreas P. Ahlstrøm, Alejandro Blazquez, William Colgan, Marcus E. Engdahl, Xavier Fettweis, Rene Forsberg, Hubert Gallée, Alex Gardner, Lin Gilbert, Noel Gourmelen, Andreas Groh, Brian C. Gunter, Christopher Harig, Veit Helm, Shfaqat Abbas Khan, Christoph Kittel, Hannes Konrad, Peter L. Langen, Benoit S. Lecavalier, Chia-Chun Liang, Bryant D. Loomis, Malcolm McMillan, Daniele Melini, Sebastian H. Mernild, Ruth Mottram, Jeremie Mouginot, Johan Nilsson, Brice Noël, Mark E. Pattle, William R. Peltier, Nadege Pie, Mònica Roca, Ingo Sasgen, Himanshu V. Save, Ki-Weon Seo, Bernd Scheuchl, Ernst J. O. Schrama, Ludwig Schröder, Sebastian B. Simonsen, Thomas Slater, Giorgio Spada, Tyler C. Sutterley, Bramha Dutt Vishwakarma, Jan Melchior van Wessem, David Wiese, Wouter van der Wal, and Bert Wouters
Earth Syst. Sci. Data, 15, 1597–1616, https://doi.org/10.5194/essd-15-1597-2023, https://doi.org/10.5194/essd-15-1597-2023, 2023
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By measuring changes in the volume, gravitational attraction, and ice flow of Greenland and Antarctica from space, we can monitor their mass gain and loss over time. Here, we present a new record of the Earth’s polar ice sheet mass balance produced by aggregating 50 satellite-based estimates of ice sheet mass change. This new assessment shows that the ice sheets have lost (7.5 x 1012) t of ice between 1992 and 2020, contributing 21 mm to sea level rise.
Eva Friis Møller, Asbjørn Christensen, Janus Larsen, Kenneth D. Mankoff, Mads Hvid Ribergaard, Mikael Sejr, Philip Wallhead, and Marie Maar
Ocean Sci., 19, 403–420, https://doi.org/10.5194/os-19-403-2023, https://doi.org/10.5194/os-19-403-2023, 2023
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Melt from the Greenland ice sheet and sea ice both influence light and nutrient availability in the Arctic coastal ocean. We use a 3D coupled hydrodynamic–biogeochemical model to evaluate the relative importance of these processes for timing, distribution, and magnitude of phytoplankton production in Disko Bay, west Greenland. Our study indicates that decreasing sea ice and more freshwater discharge can work synergistically and increase primary productivity of the coastal ocean around Greenland.
Mads Dømgaard, Kristian K. Kjeldsen, Flora Huiban, Jonathan L. Carrivick, Shfaqat A. Khan, and Anders A. Bjørk
The Cryosphere, 17, 1373–1387, https://doi.org/10.5194/tc-17-1373-2023, https://doi.org/10.5194/tc-17-1373-2023, 2023
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Sudden releases of meltwater from glacier-dammed lakes can influence ice flow, cause flooding hazards and landscape changes. This study presents a record of 14 drainages from 2007–2021 from a lake in west Greenland. The time series reveals how the lake fluctuates between releasing large and small amounts of drainage water which is caused by a weakening of the damming glacier following the large events. We also find a shift in the water drainage route which increases the risk of flooding hazards.
Sophie Goliber, Taryn Black, Ginny Catania, James M. Lea, Helene Olsen, Daniel Cheng, Suzanne Bevan, Anders Bjørk, Charlie Bunce, Stephen Brough, J. Rachel Carr, Tom Cowton, Alex Gardner, Dominik Fahrner, Emily Hill, Ian Joughin, Niels J. Korsgaard, Adrian Luckman, Twila Moon, Tavi Murray, Andrew Sole, Michael Wood, and Enze Zhang
The Cryosphere, 16, 3215–3233, https://doi.org/10.5194/tc-16-3215-2022, https://doi.org/10.5194/tc-16-3215-2022, 2022
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Terminus traces have been used to understand how Greenland's glaciers have changed over time; however, manual digitization is time-intensive, and a lack of coordination leads to duplication of efforts. We have compiled a dataset of over 39 000 terminus traces for 278 glaciers for scientific and machine learning applications. We also provide an overview of an updated version of the Google Earth Engine Digitization Tool (GEEDiT), which has been developed specifically for the Greenland Ice Sheet.
Joseph A. MacGregor, Winnie Chu, William T. Colgan, Mark A. Fahnestock, Denis Felikson, Nanna B. Karlsson, Sophie M. J. Nowicki, and Michael Studinger
The Cryosphere, 16, 3033–3049, https://doi.org/10.5194/tc-16-3033-2022, https://doi.org/10.5194/tc-16-3033-2022, 2022
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Where the bottom of the Greenland Ice Sheet is frozen and where it is thawed is not well known, yet knowing this state is increasingly important to interpret modern changes in ice flow there. We produced a second synthesis of knowledge of the basal thermal state of the ice sheet using airborne and satellite observations and numerical models. About one-third of the ice sheet’s bed is likely thawed; two-fifths is likely frozen; and the remainder is too uncertain to specify.
Mimmi Oksman, Anna Bang Kvorning, Signe Hillerup Larsen, Kristian Kjellerup Kjeldsen, Kenneth David Mankoff, William Colgan, Thorbjørn Joest Andersen, Niels Nørgaard-Pedersen, Marit-Solveig Seidenkrantz, Naja Mikkelsen, and Sofia Ribeiro
The Cryosphere, 16, 2471–2491, https://doi.org/10.5194/tc-16-2471-2022, https://doi.org/10.5194/tc-16-2471-2022, 2022
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One of the questions facing the cryosphere community today is how increasing runoff from the Greenland Ice Sheet impacts marine ecosystems. To address this, long-term data are essential. Here, we present multi-site records of fjord productivity for SW Greenland back to the 19th century. We show a link between historical freshwater runoff and productivity, which is strongest in the inner fjord – influenced by marine-terminating glaciers – where productivity has increased since the late 1990s.
William Colgan, Agnes Wansing, Kenneth Mankoff, Mareen Lösing, John Hopper, Keith Louden, Jörg Ebbing, Flemming G. Christiansen, Thomas Ingeman-Nielsen, Lillemor Claesson Liljedahl, Joseph A. MacGregor, Árni Hjartarson, Stefan Bernstein, Nanna B. Karlsson, Sven Fuchs, Juha Hartikainen, Johan Liakka, Robert S. Fausto, Dorthe Dahl-Jensen, Anders Bjørk, Jens-Ove Naslund, Finn Mørk, Yasmina Martos, Niels Balling, Thomas Funck, Kristian K. Kjeldsen, Dorthe Petersen, Ulrik Gregersen, Gregers Dam, Tove Nielsen, Shfaqat A. Khan, and Anja Løkkegaard
Earth Syst. Sci. Data, 14, 2209–2238, https://doi.org/10.5194/essd-14-2209-2022, https://doi.org/10.5194/essd-14-2209-2022, 2022
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We assemble all available geothermal heat flow measurements collected in and around Greenland into a new database. We use this database of point measurements, in combination with other geophysical datasets, to model geothermal heat flow in and around Greenland. Our geothermal heat flow model is generally cooler than previous models of Greenland, especially in southern Greenland. It does not suggest any high geothermal heat flows resulting from Icelandic plume activity over 50 million years ago.
Kenneth D. Mankoff, Xavier Fettweis, Peter L. Langen, Martin Stendel, Kristian K. Kjeldsen, Nanna B. Karlsson, Brice Noël, Michiel R. van den Broeke, Anne Solgaard, William Colgan, Jason E. Box, Sebastian B. Simonsen, Michalea D. King, Andreas P. Ahlstrøm, Signe Bech Andersen, and Robert S. Fausto
Earth Syst. Sci. Data, 13, 5001–5025, https://doi.org/10.5194/essd-13-5001-2021, https://doi.org/10.5194/essd-13-5001-2021, 2021
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We estimate the daily mass balance and its components (surface, marine, and basal mass balance) for the Greenland ice sheet. Our time series begins in 1840 and has annual resolution through 1985 and then daily from 1986 through next week. Results are operational (updated daily) and provided for the entire ice sheet or by commonly used regions or sectors. This is the first input–output mass balance estimate to include the basal mass balance.
Robert S. Fausto, Dirk van As, Kenneth D. Mankoff, Baptiste Vandecrux, Michele Citterio, Andreas P. Ahlstrøm, Signe B. Andersen, William Colgan, Nanna B. Karlsson, Kristian K. Kjeldsen, Niels J. Korsgaard, Signe H. Larsen, Søren Nielsen, Allan Ø. Pedersen, Christopher L. Shields, Anne M. Solgaard, and Jason E. Box
Earth Syst. Sci. Data, 13, 3819–3845, https://doi.org/10.5194/essd-13-3819-2021, https://doi.org/10.5194/essd-13-3819-2021, 2021
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The Programme for Monitoring of the Greenland Ice Sheet (PROMICE) has been measuring climate and ice sheet properties since 2007. Here, we present our data product from weather and ice sheet measurements from a network of automatic weather stations mainly located in the melt area of the ice sheet. Currently the PROMICE automatic weather station network includes 25 instrumented sites in Greenland.
Helle Astrid Kjær, Patrick Zens, Ross Edwards, Martin Olesen, Ruth Mottram, Gabriel Lewis, Christian Terkelsen Holme, Samuel Black, Kasper Holst Lund, Mikkel Schmidt, Dorthe Dahl-Jensen, Bo Vinther, Anders Svensson, Nanna Karlsson, Jason E. Box, Sepp Kipfstuhl, and Paul Vallelonga
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-337, https://doi.org/10.5194/tc-2020-337, 2021
Manuscript not accepted for further review
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We have reconstructed accumulation in 6 firn cores and 8 snow cores in Northern Greenland and compared with a regional Climate model over Greenland. We find the model underestimate precipitation especially in north-eastern part of the ice cap- an important finding if aiming to reconstruct surface mass balance.
Temperatures at 10 meters depth at 6 sites in Greenland were also determined and show a significant warming since the 1990's of 0.9 to 2.5 °C.
Kristian Svennevig, Trine Dahl-Jensen, Marie Keiding, John Peter Merryman Boncori, Tine B. Larsen, Sara Salehi, Anne Munck Solgaard, and Peter H. Voss
Earth Surf. Dynam., 8, 1021–1038, https://doi.org/10.5194/esurf-8-1021-2020, https://doi.org/10.5194/esurf-8-1021-2020, 2020
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The 17 June 2017 Karrat landslide in Greenland caused a tsunami that killed four people. We apply a multidisciplinary workflow to reconstruct a timeline of events and find that three historic landslides occurred in 2009, 2016, and 2017. We also find evidence of much older periods of landslide activity. Three newly discovered active slopes might pose a future hazard. We speculate that the trigger for the recent events is melting permafrost due to a warming climate.
Seyedhamidreza Mojtabavi, Frank Wilhelms, Eliza Cook, Siwan M. Davies, Giulia Sinnl, Mathias Skov Jensen, Dorthe Dahl-Jensen, Anders Svensson, Bo M. Vinther, Sepp Kipfstuhl, Gwydion Jones, Nanna B. Karlsson, Sergio Henrique Faria, Vasileios Gkinis, Helle Astrid Kjær, Tobias Erhardt, Sarah M. P. Berben, Kerim H. Nisancioglu, Iben Koldtoft, and Sune Olander Rasmussen
Clim. Past, 16, 2359–2380, https://doi.org/10.5194/cp-16-2359-2020, https://doi.org/10.5194/cp-16-2359-2020, 2020
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We present a first chronology for the East Greenland Ice-core Project (EGRIP) over the Holocene and last glacial termination. After field measurements and processing of the ice-core data, the GICC05 timescale is transferred from the NGRIP core to the EGRIP core by means of matching volcanic events and common patterns (381 match points) in the ECM and DEP records. The new timescale is named GICC05-EGRIP-1 and extends back to around 15 kyr b2k.
Kenneth D. Mankoff, Brice Noël, Xavier Fettweis, Andreas P. Ahlstrøm, William Colgan, Ken Kondo, Kirsty Langley, Shin Sugiyama, Dirk van As, and Robert S. Fausto
Earth Syst. Sci. Data, 12, 2811–2841, https://doi.org/10.5194/essd-12-2811-2020, https://doi.org/10.5194/essd-12-2811-2020, 2020
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This work partitions regional climate model (RCM) runoff from the MAR and RACMO RCMs to hydrologic outlets at the ice margin and coast. Temporal resolution is daily from 1959 through 2019. Spatial grid is ~ 100 m, resolving individual streams. In addition to discharge at outlets, we also provide the streams, outlets, and basin geospatial data, as well as a script to query and access the geospatial or time series discharge data from the data files.
Baptiste Vandecrux, Ruth Mottram, Peter L. Langen, Robert S. Fausto, Martin Olesen, C. Max Stevens, Vincent Verjans, Amber Leeson, Stefan Ligtenberg, Peter Kuipers Munneke, Sergey Marchenko, Ward van Pelt, Colin R. Meyer, Sebastian B. Simonsen, Achim Heilig, Samira Samimi, Shawn Marshall, Horst Machguth, Michael MacFerrin, Masashi Niwano, Olivia Miller, Clifford I. Voss, and Jason E. Box
The Cryosphere, 14, 3785–3810, https://doi.org/10.5194/tc-14-3785-2020, https://doi.org/10.5194/tc-14-3785-2020, 2020
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In the vast interior of the Greenland ice sheet, snow accumulates into a thick and porous layer called firn. Each summer, the firn retains part of the meltwater generated at the surface and buffers sea-level rise. In this study, we compare nine firn models traditionally used to quantify this retention at four sites and evaluate their performance against a set of in situ observations. We highlight limitations of certain model designs and give perspectives for future model development.
Christine S. Hvidberg, Aslak Grinsted, Dorthe Dahl-Jensen, Shfaqat Abbas Khan, Anders Kusk, Jonas Kvist Andersen, Niklas Neckel, Anne Solgaard, Nanna B. Karlsson, Helle Astrid Kjær, and Paul Vallelonga
The Cryosphere, 14, 3487–3502, https://doi.org/10.5194/tc-14-3487-2020, https://doi.org/10.5194/tc-14-3487-2020, 2020
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The Northeast Greenland Ice Stream (NEGIS) extends around 600 km from its onset in the interior of Greenland to the coast. Several maps of surface velocity and topography in Greenland exist, but accuracy is limited due to the lack of validation data. Here we present results from a 5-year GPS survey in an interior section of NEGIS. We use the data to assess a list of satellite-derived ice velocity and surface elevation products and discuss the implications for the ice stream flow in the area.
Cited articles
Ahlstrøm, A. P., Andersen, S. B., Andersen, M. L., Machguth, H., Nick, F. M., Joughin, I., Reijmer, C. H., van de Wal, R. S. W., Merryman Boncori, J. P., Box, J. E., Citterio, M., van As, D., Fausto, R. S., and Hubbard, A.: Seasonal velocities of eight major marine-terminating outlet glaciers of the Greenland ice sheet from continuous in situ GPS instruments, Earth Syst. Sci. Data, 5, 277–287, https://doi.org/10.5194/essd-5-277-2013, 2013. a, b
Bartholomew, I., Nienow, P., Sole, A., Mair, D., Cowton, T., and King, M. A.:
Short-term variability in Greenland Ice Sheet motion forced by time-varying
meltwater drainage: Implications for the relationship between subglacial
drainage system behavior and ice velocity, J. Geophys. Res.-Earth, 117, F03002, https://doi.org/10.1029/2011JF002220, 2012. a
Davison, B. J., Sole, A. J., Cowton, T. R., Lea, J. M., Slater, D. A., Fahrner, D., and Nienow, P. W.: Subglacial Drainage Evolution Modulates Seasonal Ice Flow Variability of Three Tidewater Glaciers in Southwest Greenland, J. Geophys. Res.-Earth, 125, e2019JF005492,
https://doi.org/10.1029/2019JF005492, 2020. a
de Lange, R., Luckman, A., and Murray, T.: Improvement of Satellite Radar Feature Tracking for Ice Velocity Derivation by Spatial Frequency Filtering, IEEE T. Geosci. Remote, 45, 2309–2318, https://doi.org/10.1109/TGRS.2007.896615, 2007. a
De Zan, F.: Accuracy of Incoherent Speckle Tracking for Circular Gaussian
Signals, IEEE Geosci. Remote S., 11, 264–267,
https://doi.org/10.1109/LGRS.2013.2255259, 2014. a
De Zan, F. and Guarnieri, A. M.: TOPSAR: Terrain observation by progressive scans, IEEE T. Geosci. Remote, 44, 2352–2360,
https://doi.org/10.1109/TGRS.2006.873853, 2006. a
ENVEO: Grounding Lines from SAR Interferometry, ENVEO, Austria, ESA Greenland_Icesheet_CCI, available at: http://products.esa-icesheets-cci.org/products/downloadlist/GLL/, last access: 1 July 2021. a
Fausto, R. and van As, D.: Programme for monitoring of the Greenland ice sheet (PROMICE): Automatic weather station data. Version: v03, Geological survey of Denmark and Greenland (GEUS) [data set], https://doi.org/10.22008/promice/data/aws, 2019. a, b, c
Gardner, A. S., Fahnestock, M. A., and Scambos, T. A.: ITS_LIVE Regional
Glacier and Ice Sheet Surface Velocities, Data archived at National Snow and
Ice Data Center, https://doi.org/10.5067/6II6VW8LLWJ7, 2019. a, b
GIScci-Consortium: Product Validation and Intercomparison Report (PVIR) for
the Greenland Ice Sheet cci project of ESA's Climate Change Initiative,
version 3.0, Tech. rep., European Space Agency, available at: https://climate.esa.int/en/projects/ice-sheets-greenland/ (last access: 1 July 2021), 2018. a
Gisinger, C., Schubert, A., Breit, H., Garthwaite, M., Balss, U.,
Willberg, M., Small, D., Eineder, M., and Miranda, N.: In-Depth
Verification of Sentinel-1 and TerraSAR-X Geolocation Accuracy Using the
Australian Corner Reflector Array, IEEE T. Geosci. Remote, 59, 1–28, https://doi.org/10.1109/TGRS.2019.2961248, 2020. a, b, c
Gomba, G.: Estimation of ionosphere-compensated azimuth ground motion with
sentinel-1, Proceedings of the European Conference on Synthetic Aperture
Radar, Eusar, 4–7 June 2018, Aachen, Germany, 87–90, 2018. a
Gray, A., Mattar, K., Vachon, P., Bindschadler, R., Jezek, K., Forster, R., and Crawford, J.: InSAR results from the RADARSAT Antarctic Mapping Mission
data: estimation of glacier motion using a simple registration procedure,
in: IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International
Geoscience and Remote Sensing, 6–10 July 1998, Seattle, WA, USA, Symposium Proceedings, Cat. No.98CH36174, IEEE, vol. 3, 1638–1640, https://doi.org/10.1109/IGARSS.1998.691662, 1998. a
Gray, A. L., Mattar, K. E., and Sofko, G.: Influence of Ionospheric Electron
Density Fluctuations on Satellite Radar Interferometry, Geophys. Res.
Lett., 27, 1451–1454, https://doi.org/10.1029/2000GL000016, 2000. a
Howat, I., Negrete, A., and Smith, B.: MEaSUREs Greenland Ice Mapping Project (GIMP) Digital Elevation Model, Version 1., NASA National Snow and Ice Data Center Distributed Active Archive Center [data set], https://doi.org/10.5067/NV34YUIXLP9W, 2015. a, b
Howat, I. M., Box, J. E., Ahn, Y., Herrington, A., and McFadden, E. M.:
Seasonal variability in the dynamics of marine-terminating outlet glaciers in
Greenland, J. Glaciol., 56, 601–613,
https://doi.org/10.3189/002214310793146232, 2010. a
Howat, I. M., Negrete, A., and Smith, B. E.: The Greenland Ice Mapping Project (GIMP) land classification and surface elevation data sets, The Cryosphere, 8, 1509–1518, https://doi.org/10.5194/tc-8-1509-2014, 2014. a, b
Hvidberg, C. S., Grinsted, A., Dahl-Jensen, D., Khan, S. A., Kusk, A., Andersen, J. K., Neckel, N., Solgaard, A., Karlsson, N. B., Kjær, H. A., and Vallelonga, P.: Surface velocity of the Northeast Greenland Ice Stream (NEGIS): assessment of interior velocities derived from satellite data by GPS, The Cryosphere, 14, 3487–3502, https://doi.org/10.5194/tc-14-3487-2020, 2020. a, b, c, d, e, f, g, h, i, j
Joughin, I.: Ice-sheet velocity mapping: a combined interferometric and
speckle-tracking approach, Ann. Glaciol., 34, 195–201,
https://doi.org/10.3189/172756402781817978, 2002. a
Joughin, I.: MEaSUREs Greenland Annual Ice Sheet Velocity Mosaics from SAR and Landsat, Version 2, Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center, https://doi.org/10.5067/TZZDYD94IMJB,
2020a. a
Joughin, I.: MEaSUREs Greenland Monthly Ice Sheet Velocity Mosaics from SAR and Landsat, Version 2, Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center, https://doi.org/10.5067/11MJZGPBK3ZF,
2020b. a
Joughin, I.: MEaSUREs Greenland Quarterly Ice Sheet Velocity Mosaics from SAR
and Landsat, Version 2, Boulder, Colorado USA. NASA National Snow and Ice
Data Center Distributed Active Archive Center, https://doi.org/10.5067/3ZMCUIFDYJG4,
2020c. a
Joughin, I., Smith, B. E., Howat, I. M., Scambos, T., and Moon, T.: Greenland
flow variability from ice-sheet-wide velocity mapping, J. Glaciol.,
56, 415–430, https://doi.org/10.3189/002214310792447734, 2010. a, b
Joughin, I., Smith, B. E., and Howat, I.: Greenland Ice Mapping Project: ice flow velocity variation at sub-monthly to decadal timescales, The Cryosphere, 12, 2211–2227, https://doi.org/10.5194/tc-12-2211-2018, 2018. a
Joughin, L. R., Kwok, R., and Fahnestock, M. A.: Interferometric estimation of three-dimensional ice-flow using ascending and descending passes, IEEE
T. Geosci. Remote, 36, 25–37, https://doi.org/10.1109/36.655315, 1998. a
Kusk, A., Boncori, J., and Dall, J.: An automated system for ice velocity
measurement from SAR, in: Proceedings of the 12th European Conference on
Synthetic Aperture Radar (EUSAR 2018), Proceedings of the European Conference
on Synthetic Aperture Radar, Aachen, Germany, 4–7 July 2018, VDE Verlag, 929–932, 2018. a
Liao, H., Meyer, F. J., Scheuchl, B., Mouginot, J., Joughin, I., and Rignot,
E.: Ionospheric correction of InSAR data for accurate ice velocity
measurement at polar regions, Remote Sens. Environ., 209, 166–180,
https://doi.org/10.1016/j.rse.2018.02.048, 2018. a
Maier, N., Humphrey, N., Harper, J., and Meierbachtol, T.: Sliding dominates
slow-flowing margin regions, Greenland Ice Sheet, Sci. Adv., 5, EAAW5406,
https://doi.org/10.1126/sciadv.aaw5406, 2019. a
Mankoff, K. D., Solgaard, A., Colgan, W., Ahlstrøm, A. P., Khan, S. A., and Fausto, R. S.: Greenland Ice Sheet solid ice discharge from 1986 through March 2020, Earth Syst. Sci. Data, 12, 1367–1383, https://doi.org/10.5194/essd-12-1367-2020, 2020. a, b
Mattar, K. E. and Gray, A. L.: Reducing ionospheric electron density errors in satellite radar interferometry applications, Can. J. Remote
Sens., 28, 593–600, https://doi.org/10.5589/m02-051, 2002. a
Merryman Boncori, J. P., Langer Andersen, M., Dall, J., Kusk, A., Kamstra, M., Bech Andersen, S., Bechor, N., Bevan, S., Bignami, C., Gourmelen, N., Joughin, I., Jung, H.-S., Luckman, A., Mouginot, J., Neelmeijer, J., Rignot, E., Scharrer, K., Nagler, T., Scheuchl, B., and Strozzi, T.:
Intercomparison and Validation of SAR-Based Ice Velocity Measurement
Techniques within the Greenland Ice Sheet CCI Project, Remote Sensing, 10,
929, https://doi.org/10.3390/rs10060929, 2018. a, b, c, d
Miranda, N.: Definition of the TOPS SLC deramping function for products
generated by the S-1 IPF (Technical Note COPE-GSEG-EOPG-TN-14-0025, Issue 1,
Rev. 3), Tech. rep., European Space Agency, available at: https://earth.esa.int/documents/247904/1653442/Sentinel-1-TOPS-SLC_Deramping (last access: 1 July 2021), 2017. a
Moon, T., Joughin, I., Smith, B., van den Broeke, M. R., van de Berg, W. J.,
Noël, B., and Usher, M.: Distinct patterns of seasonal Greenland glacier
velocity, Geophys. Res. Lett., 41, 7209–7216,
https://doi.org/10.1002/2014GL061836, 2014. a
Moon, T. A., Gardner, A. S., Csatho, B., Parmuzin, I., and Fahnestock, M. A.:
Rapid Reconfiguration of the Greenland Ice Sheet Coastal Margin, J.
Geophys. Res.-Earth, 125, e2020JF005585,
https://doi.org/10.1029/2020JF005585, 2020. a
Mouginot, J., Bjørk, A. A., Millan, R., Scheuchl, B., and Rignot, E.: Insights on the Surge Behavior of Storstrømmen and L. Bistrup Bræ, Northeast Greenland, Over the Last Century, Geophys. Res. Lett., 45,
11197–11205, https://doi.org/10.1029/2018GL079052, 2018. a
Mouginot, J., Rignot, E., Millan, R., and Wood, M.: Annual Ice Velocity of the Greenland Ice Sheet (1972–1990), Dryad, Dataset, https://doi.org/10.7280/D1MM37,
2019a. a
Mouginot, J., Rignot, E., Scheuchl, B., Millan, R., and Wood, M.: Annual Ice Velocity of the Greenland Ice Sheet (1991–2000), Dryad, Dataset,
https://doi.org/10.7280/D1GW91, 2019b. a
Mouginot, J., Rignot, E., Scheuchl, B., Wood, M., and Millan, R.: Annual Ice
Velocity of the Greenland Ice Sheet (2001–2010), Dryad, Dataset,
https://doi.org/10.7280/D1595V, 2019c. a
Mouginot, J., Rignot, E., Scheuchl, B., Wood, M., and Millan, R.: Annual Ice
Velocity of the Greenland Ice Sheet (2010–2017), Dryad, Dataset,
https://doi.org/10.7280/D11H3X, 2019d. a
Nagler, T., Rott, H., Hetzenecker, M., Wuite, J., and Potin, P.: The
Sentinel-1 mission: New opportunities for ice sheet observations, Remote
Sensing, 7, 9371–9389, https://doi.org/10.3390/rs70709371, 2015. a, b
Padman, L., Siegfried, M. R., and Fricker, H. A.: Ocean Tide Influences on the Antarctic and Greenland Ice Sheets, Rev. Geophys., 56, 142–184,
https://doi.org/10.1002/2016RG000546, 2018. a
Peter, H., Jäggi, A., Fernández, J., Escobar, D., Ayuga, F., Arnold, D.,
Wermuth, M., Hackel, S., Otten, M., Simons, W., Visser, P., Hugentobler, U.,
and Féménias, P.: Sentinel-1A – First precise orbit determination
results, Adv. Space Res., 60, 879–892,
https://doi.org/10.1016/j.asr.2017.05.034, 2017. a
Reeh, N., Mayer, C., Olesen, O. B., Christensen, E. L., and Thomsen, H. H.:
Tidal movement of Nioghalvfjerdsfjorden glacier, northeast Greenland:
observations and modelling, Ann. Glaciol., 31, 111–117,
https://doi.org/10.3189/172756400781820408, 2000. a
Rignot, E. and Kanagaratnam, P.: Changes in the Velocity Structure of the
Greenland Ice Sheet, Science, 311, 986–990, https://doi.org/10.1126/science.1121381,
2006. a
Rosenau, R., Scheinert, M., and Dietrich, R.: A processing system to monitor
Greenland outlet glacier velocity variations at decadal and seasonal time
scales utilizing the Landsat imagery, Remote Sens. Environ., 169, 1–19, https://doi.org/10.1016/j.rse.2015.07.012, 2015. a
Schubert, A., Miranda, N., Geudtner, D., and Small, D.: Sentinel-1A/B combined product geolocation accuracy, Remote Sensing, 9, 607,
https://doi.org/10.3390/rs9060607, 2017. a
Shepherd, A., Ivins, E., Rignot, E., Smith, B., van den Broeke, M., Velicogna, I., Whitehouse, P., Briggs, K., Joughin, I., Krinner, G., Nowicki, S., Payne, T., Scambos, T., Schlegel, N., Geruo, A., Agosta, C., Ahlstrøm, A., Babonis, G., Barletta, V. R., Bjørk, A. A., Blazquez, A., Bonin, J., Colgan, W., Csatho, B., Cullather, R., Engdahl, M. E., Felikson, D., Fettweis, X., Forsberg, R., Hogg, A. E., Gallee, H., Gardner, A., Gilbert, L., Gourmelen, N., Groh, A., Gunter, B., Hanna, E., Harig, C., Helm, V., Horvath, A., Horwath, M., Khan, S., Kjeldsen, K. K., Konrad, H., Langen, P. L., Lecavalier, B., Loomis, B., Luthcke, S., McMillan, M., Melini, D., Mernild, S., Mohajerani, Y., Moore, P., Mottram, R., Mouginot, J., Moyano, G., Muir, A., Nagler, T., Nield, G., Nilsson, J., Noël, B., Otosaka, I., Pattle, M. E., Peltier, W. R., Pie, N., Rietbroek, R., Rott, H., Sørensen, L. S., Sasgen, I., Save, H., Scheuchl, B., Schrama, E., Schröder, L., Seo, K.-W., Simonsen, S. B., Slater, T., Spada, G., Sutterley, T., Talpe, M., Tarasov, L., Jan van de Berg, W., van der Wal, W., van Wessem, M., Vishwakarma, B. D., Wiese, D., Wilton, D., Wagner, T., Wouters, B., and Wuite, J.: Mass balance of the Greenland Ice Sheet from 1992 to 2018, Nature, 579, 233–239, https://doi.org/10.1038/s41586-019-1855-2, 2019. a
Sole, A. J., Mair, D. W. F., Nienow, P. W., Bartholomew, I. D., King, M. A.,
Burke, M. J., and Joughin, I.: Seasonal speedup of a Greenland
marine-terminating outlet glacier forced by surface melt–induced changes in
subglacial hydrology, J. Geophys. Res.-Earth, 116, F03014,
https://doi.org/10.1029/2010JF001948, 2011. a
Solgaard, A. M., Simonsen, S. B., Grinsted, A., Mottram, R., Karlsson, N. B.,
Hansen, K., Kusk, A., and Sørensen, L. S.: Hagen Bræ: A Surging Glacier in North Greenland – 35 Years of Observations, Geophys. Res. Lett., 47,
e2019GL085802, https://doi.org/10.1029/2019GL085802, 2020. a
Strozzi, T., Luckman, A., Murray, T., Wegmüller, U., and Werner, C. L.:
Glacier motion estimation using SAR offset-tracking procedures, IEEE
T. Geosci. Remote, 40, 2384–2391, https://doi.org/10.1109/TGRS.2002.805079, 2002. a
Sundal, A., Shepherd, A., van den Broeke, M., Van Angelen, J., Gourmelen, N.,
and Park, J.: Controls on short-term variations in Greenland glacier
dynamics, J. Glaciol., 59, 883–892, https://doi.org/10.3189/2013JoG13J019,
2013. a
Thomas, R. H., Csathó, B. M., Gogineni, S., Jezek, K. C., and Kuivinen, K.:
Thickening of the western part of the Greenland ice sheet, J.
Glaciol., 44, 653–658, https://doi.org/10.3189/S002214300000215X, 1998.
a
Vandecrux, B., MacFerrin, M., Machguth, H., Colgan, W. T., van As, D., Heilig, A., Stevens, C. M., Charalampidis, C., Fausto, R. S., Morris, E. M., Mosley-Thompson, E., Koenig, L., Montgomery, L. N., Miège, C., Simonsen, S. B., Ingeman-Nielsen, T., and Box, J. E.: Firn data compilation reveals widespread decrease of firn air content in western Greenland, The Cryosphere, 13, 845–859, https://doi.org/10.5194/tc-13-845-2019, 2019. a
Vijay, S., Khan, S. A., Kusk, A., Solgaard, A. M., Moon, T., and Bjørk, A. A.: Resolving Seasonal Ice Velocity of 45 Greenlandic Glaciers With Very High Temporal Details, Geophys. Res. Lett., 46, 1485–1495,
https://doi.org/10.1029/2018GL081503, 2019. a, b
Westerweel, J. and Scarano, F.: Universal outlier detection for PIV data,
Exp. Fluids, 39, 1096–1100, https://doi.org/10.1007/s00348-005-0016-6, 2005. a, b
Short summary
The PROMICE Ice Velocity product is a time series of Greenland Ice Sheet ice velocity mosaics spanning September 2016 to present. It is derived from Sentinel-1 SAR data and has a spatial resolution of 500 m. Each mosaic spans 24 d (two Sentinel-1 cycles), and a new one is posted every 12 d (every Sentinel-1A cycle). The spatial comprehensiveness and temporal consistency make the product ideal for monitoring and studying ice-sheet-wide ice discharge and dynamics of glaciers.
The PROMICE Ice Velocity product is a time series of Greenland Ice Sheet ice velocity mosaics...
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