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ESSD | Articles | Volume 10, issue 4
Earth Syst. Sci. Data, 10, 1807–1827, 2018
https://doi.org/10.5194/essd-10-1807-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-10-1807-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 1807–1827, 2018
https://doi.org/10.5194/essd-10-1807-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-10-1807-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
10 Oct 2018
10 Oct 2018
A consistent glacier inventory for Karakoram and Pamir derived from Landsat data: distribution of debris cover and mapping challenges
Nico Mölg et al.
Related authors
Nico Mölg, Tobias Bolch, Andrea Walter, and Andreas Vieli
The Cryosphere, 13, 1889–1909, https://doi.org/10.5194/tc-13-1889-2019, https://doi.org/10.5194/tc-13-1889-2019, 2019
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Debris can partly protect glaciers from melting. But many debris-covered glaciers change similar to debris-free glaciers. To better understand the debris influence we investigated 150 years of evolution of Zmutt Glacier in Switzerland. We found an increase in debris extent over time and a link to glacier flow velocity changes. We also found an influence of debris on the melt locally, but only a small volume change reduction over the whole glacier, also because of the influence of ice cliffs.
Frank Paul, Philipp Rastner, Roberto Sergio Azzoni, Guglielmina Diolaiuti, Davide Fugazza, Raymond Le Bris, Johanna Nemec, Antoine Rabatel, Mélanie Ramusovic, Gabriele Schwaizer, and Claudio Smiraglia
Earth Syst. Sci. Data, 12, 1805–1821, https://doi.org/10.5194/essd-12-1805-2020, https://doi.org/10.5194/essd-12-1805-2020, 2020
Short summary
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We have used Sentinel-2 satellite data from 2015 and 2016 to create a new glacier inventory for the European Alps. Outlines from earlier national inventories were used to guide manual corrections (e.g. ice in shadow or under debris cover) of the automatically mapped clean ice. We mapped 4395 glaciers, covering 1806 km2, an area loss of about 14 % (or −1.2 % per year) compared to the last inventory of 2003. We conclude that glacier shrinkage in the Alps has continued unabated since the mid-1980s.
Andreas Kääb, Tazio Strozzi, Tobias Bolch, Rafael Caduff, Håkon Trefall, Markus Stoffel, and Alexander Kokarev
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-109, https://doi.org/10.5194/tc-2020-109, 2020
Preprint under review for TC
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We present a map of rock glacier motion over parts of the northern Tien Shan and time series of surface speed for six of them over almost 70 years.
This is the by far most detailed investigation of this kind available for Central Asia.
We detect a two to three-fold increase in rock glacier motion between the 1950s and present, which we attribute to atmospheric warming.
Relative to the shrinking glaciers in the region, this implies increased importance of periglacial sediment transport.
Tazio Strozzi, Dora Carreon-Freyre, and Urs Wegmüller
Proc. IAHS, 382, 179–182, https://doi.org/10.5194/piahs-382-179-2020, https://doi.org/10.5194/piahs-382-179-2020, 2020
Luigi Tosi, Cristina Da Lio, Sandra Donnici, Tazio Strozzi, and Pietro Teatini
Proc. IAHS, 382, 689–695, https://doi.org/10.5194/piahs-382-689-2020, https://doi.org/10.5194/piahs-382-689-2020, 2020
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The Venice coastland forms the major low-lying area in Italy and encompasses a variety of environments, such as farmlands, estuaries, deltas, lagoons and urbanized areas. Since most of the territory lies at a ground elevation below or slightly above the mean sea-level, also a few mm/yr of land subsidence can seriously impacts on the coastal system. In this study, we present an analysis of the vulnerability to relative sea-level rise (RSLR) considering an uneven land subsidence distribution.
Franz Goerlich, Tobias Bolch, and Frank Paul
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-79, https://doi.org/10.5194/essd-2020-79, 2020
Preprint under review for ESSD
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This work indicates all glaciers in the Pamir that surged between 1988 and 2018 revealed from different remote sensing data, mainly Landsat imagery. We found ~ 200 surging glaciers for the entire mountain range and detected the minimum and maximum extent of most of them. The smalles surging glacier is ~ 0.3 sqkm. This inventory is important to do furhter research on surging behaviour of glaciers and has to be considered when processing glacier changes (mass, area) of the region.
Michael Zemp, Matthias Huss, Nicolas Eckert, Emmanuel Thibert, Frank Paul, Samuel U. Nussbaumer, and Isabelle Gärtner-Roer
The Cryosphere, 14, 1043–1050, https://doi.org/10.5194/tc-14-1043-2020, https://doi.org/10.5194/tc-14-1043-2020, 2020
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Comprehensive assessments of global glacier mass changes have been published at multi-annual intervals, typically in IPCC reports. For the years in between, we present an approach to infer timely but preliminary estimates of global-scale glacier mass changes from glaciological observations. These ad hoc estimates for 2017/18 indicate that annual glacier contributions to sea-level rise exceeded 1 mm sea-level equivalent, which corresponds to more than a quarter of the currently observed rise.
Levan G. Tielidze, Tobias Bolch, Roger D. Wheate, Stanislav S. Kutuzov, Ivan I. Lavrentiev, and Michael Zemp
The Cryosphere, 14, 585–598, https://doi.org/10.5194/tc-14-585-2020, https://doi.org/10.5194/tc-14-585-2020, 2020
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We present data of supra-glacial debris cover for 659 glaciers across the Greater Caucasus based on satellite images from the years 1986, 2000 and 2014. We combined semi-automated methods for mapping the clean ice with manual digitization of debris-covered glacier parts and calculated supra-glacial debris-covered area as the residual between these two maps. The distribution of the supra-glacial debris cover differs between northern and southern and between western, central and eastern Caucasus.
Nico Mölg, Tobias Bolch, Andrea Walter, and Andreas Vieli
The Cryosphere, 13, 1889–1909, https://doi.org/10.5194/tc-13-1889-2019, https://doi.org/10.5194/tc-13-1889-2019, 2019
Short summary
Short summary
Debris can partly protect glaciers from melting. But many debris-covered glaciers change similar to debris-free glaciers. To better understand the debris influence we investigated 150 years of evolution of Zmutt Glacier in Switzerland. We found an increase in debris extent over time and a link to glacier flow velocity changes. We also found an influence of debris on the melt locally, but only a small volume change reduction over the whole glacier, also because of the influence of ice cliffs.
Cristian Scapozza, Christian Ambrosi, Massimiliano Cannata, and Tazio Strozzi
Geogr. Helv., 74, 125–139, https://doi.org/10.5194/gh-74-125-2019, https://doi.org/10.5194/gh-74-125-2019, 2019
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A glacial lake outburst flood hazard assessment by satellite Earth observation and numerical modelling was done for the lakes linked to the Thangothang Chhu glacier, Chomolhari area (Bhutan), combining detailed geomorphological mapping, landslide and rock glacier inventories, as well as surface displacements quantified by satellite InSAR. Outburst scenario modelling revealed that only a flood wave can have an impact on the two human settlements located downslope of the glacier.
Daniel Falaschi, Andreas Kääb, Frank Paul, Takeo Tadono, Juan Antonio Rivera, and Luis Eduardo Lenzano
The Cryosphere, 13, 997–1004, https://doi.org/10.5194/tc-13-997-2019, https://doi.org/10.5194/tc-13-997-2019, 2019
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In March 2007, the Leñas Glacier in the Central Andes of Argentina collapsed and released an ice avalanche that travelled a distance of 2 km. We analysed aerial photos, satellite images and field evidence to investigate the evolution of the glacier from the 1950s through the present day. A clear potential trigger of the collapse could not be identified from available meteorological and seismic data, nor could a significant change in glacier geometry leading to glacier instability be detected.
Martina Barandun, Matthias Huss, Ryskul Usubaliev, Erlan Azisov, Etienne Berthier, Andreas Kääb, Tobias Bolch, and Martin Hoelzle
The Cryosphere, 12, 1899–1919, https://doi.org/10.5194/tc-12-1899-2018, https://doi.org/10.5194/tc-12-1899-2018, 2018
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In this study, we used three independent methods (in situ measurements, comparison of digital elevation models and modelling) to reconstruct the mass change from 2000 to 2016 for three glaciers in the Tien Shan and Pamir. Snow lines observed on remote sensing images were used to improve conventional modelling by constraining a mass balance model. As a result, glacier mass changes for unmeasured years and glaciers can be better assessed. Substantial mass loss was confirmed for the three glaciers.
Christopher J. Merchant, Frank Paul, Thomas Popp, Michael Ablain, Sophie Bontemps, Pierre Defourny, Rainer Hollmann, Thomas Lavergne, Alexandra Laeng, Gerrit de Leeuw, Jonathan Mittaz, Caroline Poulsen, Adam C. Povey, Max Reuter, Shubha Sathyendranath, Stein Sandven, Viktoria F. Sofieva, and Wolfgang Wagner
Earth Syst. Sci. Data, 9, 511–527, https://doi.org/10.5194/essd-9-511-2017, https://doi.org/10.5194/essd-9-511-2017, 2017
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Climate data records (CDRs) contain data describing Earth's climate and should address uncertainty in the data to communicate what is known about climate variability or change and what range of doubt exists. This paper discusses good practice for including uncertainty information in CDRs for the essential climate variables (ECVs) derived from satellite data. Recommendations emerge from the shared experience of diverse ECV projects within the European Space Agency Climate Change Initiative.
Tazio Strozzi, Andreas Kääb, and Thomas Schellenberger
The Cryosphere, 11, 553–566, https://doi.org/10.5194/tc-11-553-2017, https://doi.org/10.5194/tc-11-553-2017, 2017
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The strong atmospheric warming observed since the 1990s in polar regions requires quantifying the contribution to sea level rise of glaciers and ice caps, but for large areas we do not have much information on ice dynamic fluctuations. The recent increase in satellite data opens up new possibilities to monitor ice flow. We observed over Stonebreen on Edgeøya (Svalbard) a strong increase since 2012 in ice surface velocity along with a decrease in volume and an advance in frontal extension.
Tobias Bolch, Tino Pieczonka, Kriti Mukherjee, and Joseph Shea
The Cryosphere, 11, 531–539, https://doi.org/10.5194/tc-11-531-2017, https://doi.org/10.5194/tc-11-531-2017, 2017
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Previous geodetic estimates of glacier mass changes in the Karakoram have revealed balanced budgets or a possible slight mass gain since the year ∼ 2000. We used old US reconnaissance imagery and could show that glaciers in the Hunza River basin (Central Karakoram) experienced on average no significant mass changes also since the 1970s. Likewise the glaciers had heterogeneous behaviour with frequent surge activities during the last 40 years.
Jacqueline Huber, Alison J. Cook, Frank Paul, and Michael Zemp
Earth Syst. Sci. Data, 9, 115–131, https://doi.org/10.5194/essd-9-115-2017, https://doi.org/10.5194/essd-9-115-2017, 2017
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A glacier inventory of the AP (63°–70° S), consisting of glacier outlines accompanied by glacier-specific parameters (i.e., elevation distribution, slope, aspect, thickness and volume), was achieved by digitally combining already-existing data sets. This resulted in 1589 glaciers, covering an area of 95 273 km2. These freely available data provide new insights into AP glaciers, their behavior in response to a changing climate and their corresponding contribution to sea level rise.
Silvan Ragettli, Tobias Bolch, and Francesca Pellicciotti
The Cryosphere, 10, 2075–2097, https://doi.org/10.5194/tc-10-2075-2016, https://doi.org/10.5194/tc-10-2075-2016, 2016
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This study presents a multi-temporal dataset of geodetically derived elevation changes on debris-free and debris-covered glaciers in the Langtang valley, Nepalese Himalaya. Overall, we observe accelerated glacier wastage, but highly heterogeneous spatial patterns and temporal trends across glaciers. Accelerations in thinning correlate with the presence of supraglacial cliffs and lakes, whereas thinning rates remained constant or declined on stagnating debris-covered glacier areas.
Michel Wortmann, Tobias Bolch, Valentina Krysanova, and Su Buda
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-272, https://doi.org/10.5194/hess-2016-272, 2016
Revised manuscript not accepted
F. Paul
The Cryosphere, 9, 2201–2214, https://doi.org/10.5194/tc-9-2201-2015, https://doi.org/10.5194/tc-9-2201-2015, 2015
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This study uses animations of freely available Landsat images (acquired over 25 years) to reveal glacier flow and surge dynamics in the central Karakoram. The animations provide a holistic view on the timing and variability of glacier dynamics that is hard to obtain by other more quantitative methods. Among others, the study reveals that most surging glaciers are comparably small, steep and debris-free, with a wide range of advance rates and durations, overlapping with non-surge-type glaciers.
L. Tosi, T. Strozzi, C. Da Lio, and P. Teatini
Proc. IAHS, 372, 199–205, https://doi.org/10.5194/piahs-372-199-2015, https://doi.org/10.5194/piahs-372-199-2015, 2015
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Eighty regular TerraSAR-X acquisitions over the 2008-2011 period significantly improve the subsidence monitoring at the Venice coastland. Settlements of 30-35 mm/yr have been detected at the three lagoon inlets in correspondence of the MoSE works. The Venice and Chioggia historical centers show local sinking bowls up to 10 mm/yr connected with the construction of new large buildings or restoration works. In the city of Venice, the mean subsidence of 1.1±1.0 mm/yr confirms its general stability.
N. Holzer, S. Vijay, T. Yao, B. Xu, M. Buchroithner, and T. Bolch
The Cryosphere, 9, 2071–2088, https://doi.org/10.5194/tc-9-2071-2015, https://doi.org/10.5194/tc-9-2071-2015, 2015
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Investigations of glacier mass-balance and area changes at Muztagh Ata (eastern Pamir) are based on Hexagon KH-9 (1973), ALOS-PRISM (2009), Pléiades (2013) and Landsat 7 ETM+/SRTM-3 (2000). Surface velocities of Kekesayi Glacier are derived by TerraSAR-X (2011) amplitude tracking. Glacier variations differ spatially and temporally, but on average not significantly for the entire massif. Stagnant Kekesayi and other debris-covered glaciers indicate no visual length changes, but clear down-wasting.
I. Beck, R. Ludwig, M. Bernier, T. Strozzi, and J. Boike
Earth Surf. Dynam., 3, 409–421, https://doi.org/10.5194/esurf-3-409-2015, https://doi.org/10.5194/esurf-3-409-2015, 2015
D. H. Shangguan, T. Bolch, Y. J. Ding, M. Kröhnert, T. Pieczonka, H. U. Wetzel, and S. Y. Liu
The Cryosphere, 9, 703–717, https://doi.org/10.5194/tc-9-703-2015, https://doi.org/10.5194/tc-9-703-2015, 2015
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Glacier velocity, glacier area, surface elevation and mass changes of the Southern and Northern Inylchek Glacier were investigated by using multi-temporal space-borne data sets. The mass balance of both SIG and NIG was negative(-0.43 ± 0.10 m w.e. a-1 and -0.25 ± 0.10 m w.e. a-1) from ~1975 to 2007. The thinning at the lake dam was higher, likely caused by calving into Lake Merzbacher. Thus, glacier thinning and glacier flow are significantly influenced by the lake.
H. Frey, H. Machguth, M. Huss, C. Huggel, S. Bajracharya, T. Bolch, A. Kulkarni, A. Linsbauer, N. Salzmann, and M. Stoffel
The Cryosphere, 8, 2313–2333, https://doi.org/10.5194/tc-8-2313-2014, https://doi.org/10.5194/tc-8-2313-2014, 2014
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Existing methods (area–volume relations, a slope-dependent volume estimation method, and two ice-thickness distribution models) are used to estimate the ice reserves stored in Himalayan–Karakoram glaciers. Resulting volumes range from 2955–4737km³. Results from the ice-thickness distribution models agree well with local measurements; volume estimates from area-related relations exceed the estimates from the other approaches. Evidence on the effect of the selected method on results is provided.
M. Schäfer, F. Gillet-Chaulet, R. Gladstone, R. Pettersson, V. A. Pohjola, T. Strozzi, and T. Zwinger
The Cryosphere, 8, 1951–1973, https://doi.org/10.5194/tc-8-1951-2014, https://doi.org/10.5194/tc-8-1951-2014, 2014
S. Hasson, V. Lucarini, M. R. Khan, M. Petitta, T. Bolch, and G. Gioli
Hydrol. Earth Syst. Sci., 18, 4077–4100, https://doi.org/10.5194/hess-18-4077-2014, https://doi.org/10.5194/hess-18-4077-2014, 2014
R. Gladstone, M. Schäfer, T. Zwinger, Y. Gong, T. Strozzi, R. Mottram, F. Boberg, and J. C. Moore
The Cryosphere, 8, 1393–1405, https://doi.org/10.5194/tc-8-1393-2014, https://doi.org/10.5194/tc-8-1393-2014, 2014
S. Thakuri, F. Salerno, C. Smiraglia, T. Bolch, C. D'Agata, G. Viviano, and G. Tartari
The Cryosphere, 8, 1297–1315, https://doi.org/10.5194/tc-8-1297-2014, https://doi.org/10.5194/tc-8-1297-2014, 2014
R. Bhambri, T. Bolch, P. Kawishwar, D. P. Dobhal, D. Srivastava, and B. Pratap
The Cryosphere, 7, 1385–1398, https://doi.org/10.5194/tc-7-1385-2013, https://doi.org/10.5194/tc-7-1385-2013, 2013
L. Carturan, R. Filippi, R. Seppi, P. Gabrielli, C. Notarnicola, L. Bertoldi, F. Paul, P. Rastner, F. Cazorzi, R. Dinale, and G. Dalla Fontana
The Cryosphere, 7, 1339–1359, https://doi.org/10.5194/tc-7-1339-2013, https://doi.org/10.5194/tc-7-1339-2013, 2013
P. Rastner, T. Bolch, N. Mölg, H. Machguth, R. Le Bris, and F. Paul
The Cryosphere, 6, 1483–1495, https://doi.org/10.5194/tc-6-1483-2012, https://doi.org/10.5194/tc-6-1483-2012, 2012
Related subject area
Cryosphere – Glaciology
Glacial lake inventory of high-mountain Asia in 1990 and 2018 derived from Landsat images
A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967–2015
Glacier shrinkage in the Alps continues unabated as revealed by a new glacier inventory from Sentinel-2
Greenland Ice Sheet solid ice discharge from 1986 through March 2020
Temporal inventory of glaciers in the Suru sub-basin, western Himalaya: impacts of regional climate variability
Historical porosity data in polar firn
Sval_Imp: a gridded forcing dataset for climate change impact research on Svalbard
Glaciers and climate of the Upper Susitna basin, Alaska
Age stratigraphy in the East Antarctic Ice Sheet inferred from radio-echo sounding horizons
Greenland Ice Sheet solid ice discharge from 1986 through 2017
Long-term records of glacier surface velocities in the Ötztal Alps (Austria)
A high-resolution image time series of the Gorner Glacier – Swiss Alps – derived from repeated unmanned aerial vehicle surveys
Geology datasets in North America, Greenland and surrounding areas for use with ice sheet models
The SUMup dataset: compiled measurements of surface mass balance components over ice sheets and sea ice with analysis over Greenland
Subglacial topography, ice thickness, and bathymetry of Kongsfjorden, northwestern Svalbard
Historical glacier outlines from digitized topographic maps of the Swiss Alps
A new bed elevation model for the Weddell Sea sector of the West Antarctic Ice Sheet
Modulation of glacier ablation by tephra coverage from Eyjafjallajökull and Grímsvötn volcanoes, Iceland: an automated field experiment
Strong tidal variations in ice flow observed across the entire Ronne Ice Shelf and adjoining ice streams
A 14-year dataset of in situ glacier surface velocities for a tidewater and a land-terminating glacier in Livingston Island, Antarctica
A high-resolution synthetic bed elevation grid of the Antarctic continent
A complete glacier inventory of the Antarctic Peninsula based on Landsat 7 images from 2000 to 2002 and other preexisting data sets
Glaciological measurements and mass balances from Sperry Glacier, Montana, USA, years 2005–2015
A global, high-resolution data set of ice sheet topography, cavity geometry, and ocean bathymetry
Geomatic methods applied to the study of the front position changes of Johnsons and Hurd Glaciers, Livingston Island, Antarctica, between 1957 and 2013
Ice crystal c-axis orientation and mean grain size measurements from the Dome Summit South ice core, Law Dome, East Antarctica
Subglacial landforms beneath Rutford Ice Stream, Antarctica: detailed bed topography from ice-penetrating radar
Measurement of the fracture toughness of polycrystalline bubbly ice from an Antarctic ice core
High-resolution ice thickness and bed topography of a land-terminating section of the Greenland Ice Sheet
Temperature data acquired from the DOI/GTN-P Deep Borehole Array on the Arctic Slope of Alaska, 1973–2013
Juneau Icefield Mass Balance Program 1946–2011
A long-term and reproducible passive microwave sea ice concentration data record for climate studies and monitoring
Seasonal velocities of eight major marine-terminating outlet glaciers of the Greenland ice sheet from continuous in situ GPS instruments
A new 100-m Digital Elevation Model of the Antarctic Peninsula derived from ASTER Global DEM: methods and accuracy assessment
Twenty-one years of mass balance observations along the K-transect, West Greenland
King George Island ice cap geometry updated with airborne GPR measurements
An 18-yr long (1993–2011) snow and meteorological dataset from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.) for driving and evaluating snowpack models
An improved Antarctic dataset for high resolution numerical ice sheet models (ALBMAP v1)
NORPERM, the Norwegian Permafrost Database – a TSP NORWAY IPY legacy
Xin Wang, Xiaoyu Guo, Chengde Yang, Qionghuan Liu, Junfeng Wei, Yong Zhang, Shiyin Liu, Yanlin Zhang, Zongli Jiang, and Zhiguang Tang
Earth Syst. Sci. Data, 12, 2169–2182, https://doi.org/10.5194/essd-12-2169-2020, https://doi.org/10.5194/essd-12-2169-2020, 2020
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The theoretical and methodological bases for all processing steps including glacial lake definition and classification and lake boundary delineation are discussed based on satellite remote sensing data and GIS techniques. The relative area errors of each lake in 2018 varied 1 %–79 % with average relative area errors of ±13.2 %. In high-mountain Asia, 30 121 glacial lakes with a total area of 2080.12 ± 2.28 km2 were catalogued in 2018 with a 15.2 % average rate of increase in area in 1990–2018.
Jordi Bolibar, Antoine Rabatel, Isabelle Gouttevin, and Clovis Galiez
Earth Syst. Sci. Data, 12, 1973–1983, https://doi.org/10.5194/essd-12-1973-2020, https://doi.org/10.5194/essd-12-1973-2020, 2020
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We present a dataset of annual glacier mass changes for all the 661 glaciers in the French Alps for the 1967–2015 period, reconstructed using deep learning (i.e. artificial intelligence). We estimate an average annual mass loss of –0.69 ± 0.21 m w.e., the highest being in the Chablais, Ubaye and Champsaur massifs and the lowest in the Mont Blanc, Oisans and Haute Tarentaise ranges. This dataset can be of interest to hydrology and ecology studies on glacierized catchments in the French Alps.
Frank Paul, Philipp Rastner, Roberto Sergio Azzoni, Guglielmina Diolaiuti, Davide Fugazza, Raymond Le Bris, Johanna Nemec, Antoine Rabatel, Mélanie Ramusovic, Gabriele Schwaizer, and Claudio Smiraglia
Earth Syst. Sci. Data, 12, 1805–1821, https://doi.org/10.5194/essd-12-1805-2020, https://doi.org/10.5194/essd-12-1805-2020, 2020
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We have used Sentinel-2 satellite data from 2015 and 2016 to create a new glacier inventory for the European Alps. Outlines from earlier national inventories were used to guide manual corrections (e.g. ice in shadow or under debris cover) of the automatically mapped clean ice. We mapped 4395 glaciers, covering 1806 km2, an area loss of about 14 % (or −1.2 % per year) compared to the last inventory of 2003. We conclude that glacier shrinkage in the Alps has continued unabated since the mid-1980s.
Kenneth D. Mankoff, Anne Solgaard, William Colgan, Andreas P. Ahlstrøm, Shfaqat Abbas Khan, and Robert S. Fausto
Earth Syst. Sci. Data, 12, 1367–1383, https://doi.org/10.5194/essd-12-1367-2020, https://doi.org/10.5194/essd-12-1367-2020, 2020
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We have produced an open and reproducible estimate of Greenland Ice Sheet solid ice discharge from 1986 to 2020. Our results show three modes at the the total ice sheet scale: steady discharge from 1986 through 2000, increasing discharge from 2000 through 2005, and steady discharge from 2005 through 2019. The behavior of individual sectors and glaciers is more complicated. This work was done to provide a 100 % reproducible estimate to help constrain mass balance and sea-level-rise estimates.
Aparna Shukla, Siddhi Garg, Manish Mehta, Vinit Kumar, and Uma Kant Shukla
Earth Syst. Sci. Data, 12, 1245–1265, https://doi.org/10.5194/essd-12-1245-2020, https://doi.org/10.5194/essd-12-1245-2020, 2020
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This research presents an updated glacier inventory (2017) of the Suru sub-basin, western Himalaya, India, which is useful for glacier-modelling studies. Glaciers here occur in two major Himalayan ranges: the Ladakh Range and the Greater Himalayan Range (GHR). Temporal glacier changes (46 years) suggest an overall degenerating pattern and a transitional response between the Karakoram and GHR glaciers. Local climate variability and unique topography induce heterogeneity in glacier response.
Kévin Fourteau, Laurent Arnaud, Xavier Faïn, Patricia Martinerie, David M. Etheridge, Vladimir Lipenkov, and Jean-Marc Barnola
Earth Syst. Sci. Data, 12, 1171–1177, https://doi.org/10.5194/essd-12-1171-2020, https://doi.org/10.5194/essd-12-1171-2020, 2020
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Measurements of the porosity of three polar firns were conducted in the 1990s by Jean-Marc Barnola using the method of gas pycnometry. From these data, a parametrization of firn pore closure was produced and used in different published articles. However, the data have not been published in their own right yet. We have made the data publicly accessible on the PANGAEA database and here propose describing how they were obtained and used to produce the pore closure parametrization.
Thomas Vikhamar Schuler and Torbjørn Ims Østby
Earth Syst. Sci. Data, 12, 875–885, https://doi.org/10.5194/essd-12-875-2020, https://doi.org/10.5194/essd-12-875-2020, 2020
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Atmospheric variables needed to force terrestrial process models (permafrost, glacier mass balance, seasonal snow, surface energy balance) have been downscaled from the ERA-40 and ERA-Interim reanalyses using methodology described in the accompanying paper. The gridded dataset has a horizontal resolution of 1 km and covers the entire Svalbard archipelago. The data have a temporal resolution of 6 h and cover the entire ERA-40 period (1957–2002) and the ERA-Interim period (1979–2017).
Andrew Bliss, Regine Hock, Gabriel Wolken, Erin Whorton, Caroline Aubry-Wake, Juliana Braun, Alessio Gusmeroli, Will Harrison, Andrew Hoffman, Anna Liljedahl, and Jing Zhang
Earth Syst. Sci. Data, 12, 403–427, https://doi.org/10.5194/essd-12-403-2020, https://doi.org/10.5194/essd-12-403-2020, 2020
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Extensive field observations were conducted in the Upper Susitna basin in central Alaska in 2012–2014. This paper describes the weather, glacier mass balance, snow cover, and soils of the basin. We found that temperatures over the glacier are cooler than over land at the same elevation. The glaciers have been losing mass faster in recent years than in the 1980s. Measurements of glacier mass change with traditional methods closely matched radar measurements.
Anna Winter, Daniel Steinhage, Timothy T. Creyts, Thomas Kleiner, and Olaf Eisen
Earth Syst. Sci. Data, 11, 1069–1081, https://doi.org/10.5194/essd-11-1069-2019, https://doi.org/10.5194/essd-11-1069-2019, 2019
Kenneth D. Mankoff, William Colgan, Anne Solgaard, Nanna B. Karlsson, Andreas P. Ahlstrøm, Dirk van As, Jason E. Box, Shfaqat Abbas Khan, Kristian K. Kjeldsen, Jeremie Mouginot, and Robert S. Fausto
Earth Syst. Sci. Data, 11, 769–786, https://doi.org/10.5194/essd-11-769-2019, https://doi.org/10.5194/essd-11-769-2019, 2019
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We have produced an open and reproducible estimate of Greenland Ice Sheet solid ice discharge from 1986 through 2017. Our results show three modes at the total ice-sheet scale: steady discharge from 1986 through 2000, increasing discharge from 2000 through 2005, and steady discharge from 2005 through 2017. The behavior of individual sectors and glaciers is more complicated. This work was done to provide a 100 % reproducible estimate to help constrain mass balance and sea-level rise estimates.
Martin Stocker-Waldhuber, Andrea Fischer, Kay Helfricht, and Michael Kuhn
Earth Syst. Sci. Data, 11, 705–715, https://doi.org/10.5194/essd-11-705-2019, https://doi.org/10.5194/essd-11-705-2019, 2019
Lionel Benoit, Aurelie Gourdon, Raphaël Vallat, Inigo Irarrazaval, Mathieu Gravey, Benjamin Lehmann, Günther Prasicek, Dominik Gräff, Frederic Herman, and Gregoire Mariethoz
Earth Syst. Sci. Data, 11, 579–588, https://doi.org/10.5194/essd-11-579-2019, https://doi.org/10.5194/essd-11-579-2019, 2019
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This dataset provides a collection of 10 cm resolution orthomosaics and digital elevation models of the Gornergletscher glacial system (Switzerland). Raw data have been acquired every 2 weeks by intensive UAV surveys and cover the summer 2017. A careful photogrammetric processing ensures the geometrical coherence of the whole dataset.
Evan J. Gowan, Lu Niu, Gregor Knorr, and Gerrit Lohmann
Earth Syst. Sci. Data, 11, 375–391, https://doi.org/10.5194/essd-11-375-2019, https://doi.org/10.5194/essd-11-375-2019, 2019
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The speed of ice sheet flow is largely controlled by the strength of the ice–bed interface. We present three datasets on the geological properties of regions in North America, Greenland and Iceland that were covered by Quaternary ice sheets. These include the grain size of glacial sediments, the continuity of sediment cover and bedrock geology. Simple ice modelling experiments show that altering the basal strength of the ice sheet on the basis of these datasets impacts ice thickness.
Lynn Montgomery, Lora Koenig, and Patrick Alexander
Earth Syst. Sci. Data, 10, 1959–1985, https://doi.org/10.5194/essd-10-1959-2018, https://doi.org/10.5194/essd-10-1959-2018, 2018
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The SUMup dataset is a standardized, expandable, community dataset of Arctic and Antarctic observations of surface mass balance components, including snow/firn density, snow accumulation on land ice, and snow depth on sea ice. The measurements in this dataset were compiled from field notes, papers, technical reports, and digital files. We use these observations to monitor change in the polar regions and evaluate model output as well as remote sensing measurements.
Katrin Lindbäck, Jack Kohler, Rickard Pettersson, Christopher Nuth, Kirsty Langley, Alexandra Messerli, Dorothée Vallot, Kenichi Matsuoka, and Ola Brandt
Earth Syst. Sci. Data, 10, 1769–1781, https://doi.org/10.5194/essd-10-1769-2018, https://doi.org/10.5194/essd-10-1769-2018, 2018
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Tidewater glaciers terminate directly into the sea and the glacier fronts are important feeding areas for birds and marine mammals. Svalbard tidewater glaciers are retreating, which will affect fjord circulation and ecosystems when glacier fronts end on land. In this paper, we present digital maps of ice thickness and topography under five tidewater glaciers in Kongsfjorden, northwestern Svalbard, which will be useful in studies of future glacier changes in the area.
Daphné Freudiger, David Mennekes, Jan Seibert, and Markus Weiler
Earth Syst. Sci. Data, 10, 805–814, https://doi.org/10.5194/essd-10-805-2018, https://doi.org/10.5194/essd-10-805-2018, 2018
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To understand glacier changes in the Swiss Alps at the large scale, long-term datasets are needed. To fill the gap between the existing glacier inventories of the Swiss Alps between 1850 and 1973, we digitized glacier outlines from topographic historical maps of Switzerland for the time periods ca. 1900 and ca. 1935. We found that > 88 % of the digitized glacier area was plausible compared to four inventories. The presented dataset is therefore valuable information for long-term glacier studies.
Hafeez Jeofry, Neil Ross, Hugh F. J. Corr, Jilu Li, Mathieu Morlighem, Prasad Gogineni, and Martin J. Siegert
Earth Syst. Sci. Data, 10, 711–725, https://doi.org/10.5194/essd-10-711-2018, https://doi.org/10.5194/essd-10-711-2018, 2018
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Accurately characterizing the complexities of the ice-sheet dynamic specifically close to the grounding line across the Weddell Sea (WS) sector in the ice-sheet models provides challenges to the scientific community. Our main objective is to comprehend these complexities, adding accuracy to the projection of future ice-sheet dynamics. Therefore, we have developed a new bed elevation digital elevation model across the WS sector, which will be of value to ice-sheet modelling experiments.
Rebecca Möller, Marco Möller, Peter A. Kukla, and Christoph Schneider
Earth Syst. Sci. Data, 10, 53–60, https://doi.org/10.5194/essd-10-53-2018, https://doi.org/10.5194/essd-10-53-2018, 2018
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Deposits of volcanic tephra alter the energy balance at the surface of a glacier. The effects reach from intensified melt to complete insulation, mainly depending on tephra thickness. Data from a field experiment on Iceland reveal an additional minor dependency on tephra type and suggest a substantially different behavior of tephra-covered snowpacks than of tephra-covered glacier ice. The related 50-day dataset of hourly records can readily be used for model calibration and validation purposes.
Sebastian H. R. Rosier, G. Hilmar Gudmundsson, Matt A. King, Keith W. Nicholls, Keith Makinson, and Hugh F. J. Corr
Earth Syst. Sci. Data, 9, 849–860, https://doi.org/10.5194/essd-9-849-2017, https://doi.org/10.5194/essd-9-849-2017, 2017
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Tides can affect the flow of ice at hourly to yearly timescales. In some cases the ice responds at a different frequency than is found in the tidal forcing; for example, on Rutford Ice Stream the strongest response is at a fortnightly period. A new compilation of GPS data across the Ronne Ice Shelf and adjoining ice streams shows that this fortnightly modulation in ice flow is found across the entire region. Measurements of this kind can provide insights into ice rheology and basal processes.
Francisco Machío, Ricardo Rodríguez-Cielos, Francisco Navarro, Javier Lapazaran, and Jaime Otero
Earth Syst. Sci. Data, 9, 751–764, https://doi.org/10.5194/essd-9-751-2017, https://doi.org/10.5194/essd-9-751-2017, 2017
Felicity S. Graham, Jason L. Roberts, Ben K. Galton-Fenzi, Duncan Young, Donald Blankenship, and Martin J. Siegert
Earth Syst. Sci. Data, 9, 267–279, https://doi.org/10.5194/essd-9-267-2017, https://doi.org/10.5194/essd-9-267-2017, 2017
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Antarctic bed topography datasets are interpolated onto low-resolution grids because our observed topography data are sparsely sampled. This has implications for ice-sheet model simulations, especially in regions prone to instability, such as grounding lines, where detailed knowledge of the topography is required. Here, we constructed a high-resolution synthetic bed elevation dataset using observed covariance properties to assess the dependence of simulated ice-sheet dynamics on grid resolution.
Jacqueline Huber, Alison J. Cook, Frank Paul, and Michael Zemp
Earth Syst. Sci. Data, 9, 115–131, https://doi.org/10.5194/essd-9-115-2017, https://doi.org/10.5194/essd-9-115-2017, 2017
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A glacier inventory of the AP (63°–70° S), consisting of glacier outlines accompanied by glacier-specific parameters (i.e., elevation distribution, slope, aspect, thickness and volume), was achieved by digitally combining already-existing data sets. This resulted in 1589 glaciers, covering an area of 95 273 km2. These freely available data provide new insights into AP glaciers, their behavior in response to a changing climate and their corresponding contribution to sea level rise.
Adam M. Clark, Daniel B. Fagre, Erich H. Peitzsch, Blase A. Reardon, and Joel T. Harper
Earth Syst. Sci. Data, 9, 47–61, https://doi.org/10.5194/essd-9-47-2017, https://doi.org/10.5194/essd-9-47-2017, 2017
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Most of the alpine glaciers in the world are shrinking. Because of the impact glaciers have on watershed hydrology, the US Geological Survey began a surface mass balance measurement program on Sperry Glacier in Glacier National Park, Montana, USA, in 2005. Between then and 2015 the USGS employed standard methods to estimate the mass changes across the surface of the glacier. During this 11-year period, Sperry Glacier had a cumulative mean mass balance loss of 4.37 m of water equivalent.
Janin Schaffer, Ralph Timmermann, Jan Erik Arndt, Steen Savstrup Kristensen, Christoph Mayer, Mathieu Morlighem, and Daniel Steinhage
Earth Syst. Sci. Data, 8, 543–557, https://doi.org/10.5194/essd-8-543-2016, https://doi.org/10.5194/essd-8-543-2016, 2016
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The RTopo-2 data set provides consistent maps of global ocean bathymetry and ice surface topographies for Greenland and Antarctica at 30 arcsec grid spacing. We corrected data from earlier products in the areas of Petermann, Hagen Bræ, and Helheim glaciers, incorporated original data for the floating ice tongue of Nioghalvfjerdsfjorden Glacier, and applied corrections for the geometry of Getz, Abbot, and Fimbul ice shelf cavities. The data set is available from the PANGAEA database.
Ricardo Rodríguez Cielos, Julián Aguirre de Mata, Andrés Díez Galilea, Marina Álvarez Alonso, Pedro Rodríguez Cielos, and Francisco Navarro Valero
Earth Syst. Sci. Data, 8, 341–353, https://doi.org/10.5194/essd-8-341-2016, https://doi.org/10.5194/essd-8-341-2016, 2016
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The study of glacier fronts combines different geomatics measurement techniques. It is practically impossible to realize, in the case of glacier fronts that end up in the sea (tide water glaciers). The images obtained from the front come from a non-metric digital camera. The result of observations obtained were applied to study the temporal evolution (1957–2014) of the position of the Johnsons glacier and the position of the Hurd glacier, near BAE Juan Carlos I in Livingston Island (Antarctica).
Adam Treverrow, Li Jun, and Tim H. Jacka
Earth Syst. Sci. Data, 8, 253–263, https://doi.org/10.5194/essd-8-253-2016, https://doi.org/10.5194/essd-8-253-2016, 2016
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We present ice crystallographic c-axis orientation and grain size data from the Dome Summit South (DSS) ice core drilled 4.7 km SSW of the summit of Law Dome, East Antarctica. These data are from 185 individual thin sections obtained between a depth of 117 m below the surface and the bottom of the DSS core at a depth of 1196 m. Observations of ice microstructures from polar ice cores play a vital role in the development and validation of ice flow relations for numerical ice sheet models.
Edward C. King, Hamish D. Pritchard, and Andrew M. Smith
Earth Syst. Sci. Data, 8, 151–158, https://doi.org/10.5194/essd-8-151-2016, https://doi.org/10.5194/essd-8-151-2016, 2016
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Large, fast-moving glaciers create long, linear mounds of sediments covering large areas. Understanding how these features form has been hampered by a lack of data from the bed of modern-day ice sheets. We give a detailed view of the landscape beneath an Antarctic glacier called Rutford Ice Stream. We towed a radar system back and forth across the glacier to measure the ice thickness every few metres. This is the first place such a highly detailed view of the sub-ice landscape has been created.
J. Christmann, R. Müller, K. G. Webber, D. Isaia, F. H. Schader, S. Kipfstuhl, J. Freitag, and A. Humbert
Earth Syst. Sci. Data, 7, 87–92, https://doi.org/10.5194/essd-7-87-2015, https://doi.org/10.5194/essd-7-87-2015, 2015
K. Lindbäck, R. Pettersson, S. H. Doyle, C. Helanow, P. Jansson, S. S. Kristensen, L. Stenseng, R. Forsberg, and A. L. Hubbard
Earth Syst. Sci. Data, 6, 331–338, https://doi.org/10.5194/essd-6-331-2014, https://doi.org/10.5194/essd-6-331-2014, 2014
G. D. Clow
Earth Syst. Sci. Data, 6, 201–218, https://doi.org/10.5194/essd-6-201-2014, https://doi.org/10.5194/essd-6-201-2014, 2014
M. Pelto, J. Kavanaugh, and C. McNeil
Earth Syst. Sci. Data, 5, 319–330, https://doi.org/10.5194/essd-5-319-2013, https://doi.org/10.5194/essd-5-319-2013, 2013
G. Peng, W. N. Meier, D. J. Scott, and M. H. Savoie
Earth Syst. Sci. Data, 5, 311–318, https://doi.org/10.5194/essd-5-311-2013, https://doi.org/10.5194/essd-5-311-2013, 2013
A. P. Ahlstrøm, S. B. Andersen, M. L. Andersen, H. Machguth, F. M. Nick, I. Joughin, C. H. Reijmer, R. S. W. van de Wal, J. P. Merryman Boncori, J. E. Box, M. Citterio, D. van As, R. S. Fausto, and A. Hubbard
Earth Syst. Sci. Data, 5, 277–287, https://doi.org/10.5194/essd-5-277-2013, https://doi.org/10.5194/essd-5-277-2013, 2013
A. J. Cook, T. Murray, A. Luckman, D. G. Vaughan, and N. E. Barrand
Earth Syst. Sci. Data, 4, 129–142, https://doi.org/10.5194/essd-4-129-2012, https://doi.org/10.5194/essd-4-129-2012, 2012
R. S. W. van de Wal, W. Boot, C. J. P. P. Smeets, H. Snellen, M. R. van den Broeke, and J. Oerlemans
Earth Syst. Sci. Data, 4, 31–35, https://doi.org/10.5194/essd-4-31-2012, https://doi.org/10.5194/essd-4-31-2012, 2012
M. Rückamp and N. Blindow
Earth Syst. Sci. Data, 4, 23–30, https://doi.org/10.5194/essd-4-23-2012, https://doi.org/10.5194/essd-4-23-2012, 2012
S. Morin, Y. Lejeune, B. Lesaffre, J.-M. Panel, D. Poncet, P. David, and M. Sudul
Earth Syst. Sci. Data, 4, 13–21, https://doi.org/10.5194/essd-4-13-2012, https://doi.org/10.5194/essd-4-13-2012, 2012
A. M. Le Brocq, A. J. Payne, and A. Vieli
Earth Syst. Sci. Data, 2, 247–260, https://doi.org/10.5194/essd-2-247-2010, https://doi.org/10.5194/essd-2-247-2010, 2010
H. Juliussen, H. H. Christiansen, G. S. Strand, S. Iversen, K. Midttømme, and J. S. Rønning
Earth Syst. Sci. Data, 2, 235–246, https://doi.org/10.5194/essd-2-235-2010, https://doi.org/10.5194/essd-2-235-2010, 2010
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Short summary
Knowledge about the size and location of glaciers is essential to understand impacts of climatic changes on the natural environment. Therefore, we have produced an inventory of all glaciers in some of the largest glacierized mountain regions worldwide. Many large glaciers are covered by a rock (debris) layer, which also changes their reaction to climatic changes. Thus, we have also mapped this debris layer for all glaciers. We have mapped almost 28000 glaciers covering ~35000 km2.
Knowledge about the size and location of glaciers is essential to understand impacts of climatic...
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