Articles | Volume 19, issue 8
https://doi.org/10.5194/cp-19-1585-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-19-1585-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Aug 2023
Research article |
| 02 Aug 2023
| 02 Aug 2023
Missing sea level rise in southeastern Greenland during and since the Little Ice Age
Sarah A. Woodroffe
CORRESPONDING AUTHOR
Department of Geography, Durham University, Lower Mountjoy, South
Road, Durham, DH1 3LE, UK
Leanne M. Wake
Department of Geography and Environmental Sciences, Northumbria
University, Ellison Place, Newcastle upon Tyne, NE1 8ST, UK
Kristian K. Kjeldsen
Geological Survey of Denmark and Greenland (GEUS), 1350 Copenhagen K, Denmark
Natasha L. M. Barlow
School of Earth and Environment, University of Leeds, Leeds, LS2 9JT, UK
Antony J. Long
Department of Geography, Durham University, Lower Mountjoy, South
Road, Durham, DH1 3LE, UK
Kurt H. Kjær
GeoGenetics, Globe Institute, University of Copenhagen, 1350
Copenhagen K, Denmark
Related authors
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Robert S. Fausto, Penelope How, Baptiste Vandecrux, Mads C. Lund, Jason E. Box, Kenneth D. Mankoff, Signe B. Andersen, Dirk van As, Rasmus Bahbah, Michele Citterio, William Colgan, Henrik T. Jakobsgaard, Nanna B. Karlsson, Kristian K. Kjeldsen, Signe H. Larsen, Charlotte Olsen, Falk Oraschewski, Anja Rutishauser, Christopher L. Shields, Anne M. Solgaard, Ian T. Stevens, Synne H. Svendsen, Kirsty Langley, Alexandra Messerli, Anders A. Bjørk, Jonas K. Andersen, Jakob Abermann, Jakob Steiner, Rainer Prinz, Berhard Hynek, James M. Lea, Stephen Brough, and Andreas P. Ahlstrøm
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-687, https://doi.org/10.5194/essd-2025-687, 2025
Preprint under review for ESSD
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In summary, the PROMICE | GC-NET AWS data product update represents a significant advancement in Arctic climate monitoring. Through enhanced station designs, state-of-the-art instrumentation, and a transparent, automated data processing workflow, the dataset offers an essential resource for studying the Greenland Ice Sheet and its periphery, validating climate models, and supporting global assessments of cryospheric change.
Penelope How, Dorthe Petersen, Kristian K. Kjeldsen, Katrine Raundrup, Nanna B. Karlsson, Alexandra Messerli, Anja Rutishauser, Jonathan L. Carrivick, James M. Lea, Robert S. Fausto, Andreas P. Ahlstrøm, and Signe B. Andersen
Earth Syst. Sci. Data, 17, 6331–6351, https://doi.org/10.5194/essd-17-6331-2025, https://doi.org/10.5194/essd-17-6331-2025, 2025
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We mapped 2918 ice-marginal lakes across Greenland (2016–2023), revealing changes in size, abundance and temperature. This open dataset improves understanding of terrestrial water storage, glacier dynamics, and Arctic ecology, supporting research on sea level rise, glacier-lake interactions, and sustainable resource planning including hydropower development under Greenland’s climate commitments.
Amy M. McGuire, Víctor Cartelle, Graham Rush, Freek S. Busschers, Kim M. Cohen, David M. Hodgson, and Natasha L. M. Barlow
Sci. Dril., 34, 29–39, https://doi.org/10.5194/sd-34-29-2025, https://doi.org/10.5194/sd-34-29-2025, 2025
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We present five new sediment cores, the Rates of Interglacial Sea-level Change and Responses (RISeR) cores, extracted from the southern North Sea. The cores will allow us to study the evolution of the basin in the Quaternary (the last 2.58 million years). The cores reveal widespread soil, wetland, and river deposits, reflecting a lost, predominantly terrestrial, landscape that now sits around 20 m below sea level. Understanding these landscapes is vital, as they form the foundations for a rapidly growing offshore wind industry.
Johnny Rutherford, Nick Rutter, Leanne Wake, and Alex J. Cannon
Biogeosciences, 22, 5031–5049, https://doi.org/10.5194/bg-22-5031-2025, https://doi.org/10.5194/bg-22-5031-2025, 2025
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The Arctic winter is vulnerable to climate warming, and ~1700 Gt of carbon stored in high-latitude permafrost ecosystems is at risk of degradation in the future due to enhanced microbial activity. Poorly represented cold season processes, such as the simulation of snow thermal conductivity in land surface models (LSMs), cause uncertainty in projected carbon emission simulations. Improved snow conductivity parameterization in CLM5.0 significantly increases predicted winter CO2 emissions to 2100.
Gregor Luetzenburg, Niels J. Korsgaard, Anna K. Deichmann, Tobias Socher, Karin Gleie, Thomas Scharffenberger, Rasmus P. Meyer, Dominik Fahrner, Eva B. Nielsen, Penelope How, Anders A. Bjørk, Kristian K. Kjeldsen, Andreas P. Ahlstrøm, and Robert S. Fausto
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-415, https://doi.org/10.5194/essd-2025-415, 2025
Revised manuscript under review for ESSD
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We mapped the edge of the Greenland Ice Sheet using recent satellite images to create a detailed outline of its extent in 2022. This helps track how the ice sheet is changing as the climate warms. By carefully combining satellite data and checking results by hand, we created one of the most accurate maps of the ice sheet to date. This map supports research on ice loss and improves predictions of future changes in Greenland’s ice and its effect on the planet.
Shfaqat A. Khan, Helene Seroussi, Mathieu Morlighem, William Colgan, Veit Helm, Gong Cheng, Danjal Berg, Valentina R. Barletta, Nicolaj K. Larsen, William Kochtitzky, Michiel van den Broeke, Kurt H. Kjær, Andy Aschwanden, Brice Noël, Jason E. Box, Joseph A. MacGregor, Robert S. Fausto, Kenneth D. Mankoff, Ian M. Howat, Kuba Oniszk, Dominik Fahrner, Anja Løkkegaard, Eigil Y. H. Lippert, Alicia Bråtner, and Javed Hassan
Earth Syst. Sci. Data, 17, 3047–3071, https://doi.org/10.5194/essd-17-3047-2025, https://doi.org/10.5194/essd-17-3047-2025, 2025
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The surface elevation of the Greenland Ice Sheet is changing due to surface mass balance processes and ice dynamics, each exhibiting distinct spatiotemporal patterns. Here, we employ satellite and airborne altimetry data with fine spatial (1 km) and temporal (monthly) resolutions to document this spatiotemporal evolution from 2003 to 2023. This dataset of fine-resolution altimetry data in both space and time will support studies of ice mass loss and be useful for GIS ice sheet modeling.
Georgina J. Woolley, Nick Rutter, Leanne Wake, Vincent Vionnet, Chris Derksen, Julien Meloche, Benoit Montpetit, Nicolas R. Leroux, Richard Essery, Gabriel Hould Gosselin, and Philip Marsh
EGUsphere, https://doi.org/10.5194/egusphere-2025-1498, https://doi.org/10.5194/egusphere-2025-1498, 2025
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The impact of uncertainties in the simulation of snow density and SSA by the snow model Crocus (embedded within the Soil, Vegetation and Snow version 2 land surface model) on the simulation of snow backscatter (13.5 GHz) using the Snow Microwave Radiative Transfer model were quantified. The simulation of SSA was found to be a key model uncertainty. Underestimated SSA values lead to high errors in the simulation of snow backscatter, reduced by implementing a minimum SSA value (8.7 m2 kg-1).
Adrien Damseaux, Heidrun Matthes, Victoria R. Dutch, Leanne Wake, and Nick Rutter
The Cryosphere, 19, 1539–1558, https://doi.org/10.5194/tc-19-1539-2025, https://doi.org/10.5194/tc-19-1539-2025, 2025
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Models often underestimate the role of snow cover in permafrost regions, leading to soil temperatures and permafrost dynamics inaccuracies. Through the use of a snow thermal conductivity scheme better adapted to this region, we mitigated soil temperature biases and permafrost extent overestimation within a land surface model. Our study sheds light on the importance of refining snow-related processes in models to enhance our understanding of permafrost dynamics in the context of climate change.
Georgina J. Woolley, Nick Rutter, Leanne Wake, Vincent Vionnet, Chris Derksen, Richard Essery, Philip Marsh, Rosamond Tutton, Branden Walker, Matthieu Lafaysse, and David Pritchard
The Cryosphere, 18, 5685–5711, https://doi.org/10.5194/tc-18-5685-2024, https://doi.org/10.5194/tc-18-5685-2024, 2024
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Parameterisations of Arctic snow processes were implemented into the multi-physics ensemble version of the snow model Crocus (embedded within the Soil, Vegetation, and Snow version 2 land surface model) and evaluated at an Arctic tundra site. Optimal combinations of parameterisations that improved the simulation of density and specific surface area featured modifications that raise wind speeds to increase compaction in surface layers, prevent snowdrift, and increase viscosity in basal layers.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Oliver Sonnentag, Gabriel Hould Gosselin, Melody Sandells, Chris Derksen, Branden Walker, Gesa Meyer, Richard Essery, Richard Kelly, Phillip Marsh, Julia Boike, and Matteo Detto
Biogeosciences, 21, 825–841, https://doi.org/10.5194/bg-21-825-2024, https://doi.org/10.5194/bg-21-825-2024, 2024
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We undertake a sensitivity study of three different parameters on the simulation of net ecosystem exchange (NEE) during the snow-covered non-growing season at an Arctic tundra site. Simulations are compared to eddy covariance measurements, with near-zero NEE simulated despite observed CO2 release. We then consider how to parameterise the model better in Arctic tundra environments on both sub-seasonal timescales and cumulatively throughout the snow-covered non-growing season.
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.
Oliver G. Pollard, Natasha L. M. Barlow, Lauren J. Gregoire, Natalya Gomez, Víctor Cartelle, Jeremy C. Ely, and Lachlan C. Astfalck
The Cryosphere, 17, 4751–4777, https://doi.org/10.5194/tc-17-4751-2023, https://doi.org/10.5194/tc-17-4751-2023, 2023
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We use advanced statistical techniques and a simple ice-sheet model to produce an ensemble of plausible 3D shapes of the ice sheet that once stretched across northern Europe during the previous glacial maximum (140,000 years ago). This new reconstruction, equivalent in volume to 48 ± 8 m of global mean sea-level rise, will improve the interpretation of high sea levels recorded from the Last Interglacial period (120 000 years ago) that provide a useful perspective on the future.
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.
Victoria R. Dutch, Nick Rutter, Leanne Wake, Melody Sandells, Chris Derksen, Branden Walker, Gabriel Hould Gosselin, Oliver Sonnentag, Richard Essery, Richard Kelly, Phillip Marsh, Joshua King, and Julia Boike
The Cryosphere, 16, 4201–4222, https://doi.org/10.5194/tc-16-4201-2022, https://doi.org/10.5194/tc-16-4201-2022, 2022
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Measurements of the properties of the snow and soil were compared to simulations of the Community Land Model to see how well the model represents snow insulation. Simulations underestimated snow thermal conductivity and wintertime soil temperatures. We test two approaches to reduce the transfer of heat through the snowpack and bring simulated soil temperatures closer to measurements, with an alternative parameterisation of snow thermal conductivity being more appropriate.
Kim M. Cohen, Víctor Cartelle, Robert Barnett, Freek S. Busschers, and Natasha L. M. Barlow
Earth Syst. Sci. Data, 14, 2895–2937, https://doi.org/10.5194/essd-14-2895-2022, https://doi.org/10.5194/essd-14-2895-2022, 2022
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We describe a geological sea-level dataset for the Last Interglacial period (peaking ~125 000 years ago). From 80 known sites in and around the North Sea and English Channel (from below coastal plains, from along terraced parts of coastlines, from offshore), we provide and document 146 data points (35 entries in the Netherlands, 10 in Belgium, 23 in Germany, 17 in Denmark, 36 in Britain and the Channel Isles, 25 in France) that are also viewable at https://warmcoasts.eu/world-atlas.html.
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.
Víctor Cartelle, Natasha L. M. Barlow, David M. Hodgson, Freek S. Busschers, Kim M. Cohen, Bart M. L. Meijninger, and Wessel P. van Kesteren
Earth Surf. Dynam., 9, 1399–1421, https://doi.org/10.5194/esurf-9-1399-2021, https://doi.org/10.5194/esurf-9-1399-2021, 2021
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Reconstructing the growth and decay of past ice sheets is critical to understand relationships between global climate and sea-level change. We take advantage of large wind-farm datasets in the southern North Sea to investigate buried landscapes left by ice sheet advance and retreat occurring about 160 000 years ago. We demonstrate the utility of offshore wind-farm data in refining palaeo-ice sheet margin limits and providing insight into the processes influencing marginal ice sheet dynamics.
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.
Anne Solgaard, Anders Kusk, John Peter Merryman Boncori, Jørgen Dall, Kenneth D. Mankoff, Andreas P. Ahlstrøm, Signe B. Andersen, Michele Citterio, Nanna B. Karlsson, Kristian K. Kjeldsen, Niels J. Korsgaard, Signe H. Larsen, and Robert S. Fausto
Earth Syst. Sci. Data, 13, 3491–3512, https://doi.org/10.5194/essd-13-3491-2021, https://doi.org/10.5194/essd-13-3491-2021, 2021
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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.
Svend Funder, Anita H. L. Sørensen, Nicolaj K. Larsen, Anders A. Bjørk, Jason P. Briner, Jesper Olsen, Anders Schomacker, Laura B. Levy, and Kurt H. Kjær
Clim. Past, 17, 587–601, https://doi.org/10.5194/cp-17-587-2021, https://doi.org/10.5194/cp-17-587-2021, 2021
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Cosmogenic 10Be exposure dates from outlying islets along 300 km of the SW Greenland coast indicate that, although affected by inherited 10Be, the ice margin here was retreating during the Younger Dryas. These results seem to be corroborated by recent studies elsewhere in Greenland. The apparent mismatch between temperatures and ice margin behaviour may be explained by the advection of warm water to the ice margin on the shelf and by increased seasonality, both caused by a weakened AMOC.
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Short summary
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.
Salt marsh in SE Greenland records sea level changes over the past 300 years in sediments and...
