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  • American Physical Society  (749)
  • PANGAEA  (371)
  • Blackwell Science Ltd.
  • International Union of Crystallography
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  • 1
    Publication Date: 2019-01-09
    Print ISSN: 2469-9985
    Electronic ISSN: 2469-9993
    Topics: Physics
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    PANGAEA
    In:  Supplement to: Möller, Marco; Möller, Rebecca (2019): Snow cover variability across glaciers in Nordenskiöldland (Svalbard) from point measurements in 2014–2016. Earth System Science Data Discussions, https://doi.org/10.5194/essd-2018-158
    Publication Date: 2023-01-13
    Description: Snow depths and bulk densities of the annual snow layer were measured at 69 different locations on glaciers across Nordenskiöldland, Svalbard, during the spring seasons of the period 2014–2016. Sampling locations lie along nine transects extending over 17 individual glaciers. Several of the locations were visited repeatedly, leading to a total of 109 point measurements, on which we report in this study. Snow water equivalents were calculated for each point measurement. In the dataset, snow depth and density measurements are accompanied by appropriate uncertainties which are rigorously transferred to the calculated snow water equivalents using a straightforward Monte Carlo simulation-style procedure. The final dataset can be downloaded from the Pangaea data repository (https://www.pangaea.de; https://doi.org/10.1594/PANGAEA.896581). Snow cover data indicate a general and statistically significant increase of snow depths and water equivalents with terrain elevation. A significant increase of both quantities with decreasing distance towards the east coast of Nordenskiöldland is also evident, but shows distinct interannual variability. Snow density does not show any characteristic spatial pattern.
    Keywords: A-01; A-02; A-03; A-04; A-05; A-06; B-01; B-02; B-03; B-04; B-05; B-06; B-07; B-08; B-09; B-10; B-11; C-01; C-02; C-03; C-04; C-05; D-01; D-02; D-03; D-04; D-05; D-06; D-07; DATE/TIME; Density, snow; Density, snow, uncertainty; E-01; E-02; E-03; E-04; E-05; Elevation of event; Event label; F-01; F-02; F-03; F-04; F-05; F-06; F-07; F-08; F-09; F-10; F-11; F-12; Flag; G-01; G-02; G-03; G-04; H-01; H-02; H-03; H-04; H-05; H-06; H-07; H-08; H-09; I-01; I-02; I-03; I-04; I-05; I-06; I-07; I-08; I-09; I-10; ICEM; Ice measurement; Latitude of event; Longitude of event; Number; Randolph Glacier Inventory 6.0, glacier ID; Snow thickness; Snow thickness, uncertainty; Snow water equivalent; Snow water equivalent, uncertainty; Svalbard; Svalbard_A-01; Svalbard_A-02; Svalbard_A-03; Svalbard_A-04; Svalbard_A-05; Svalbard_A-06; Svalbard_B-01; Svalbard_B-02; Svalbard_B-03; Svalbard_B-04; Svalbard_B-05; Svalbard_B-06; Svalbard_B-07; Svalbard_B-08; Svalbard_B-09; Svalbard_B-10; Svalbard_B-11; Svalbard_C-01; Svalbard_C-02; Svalbard_C-03; Svalbard_C-04; Svalbard_C-05; Svalbard_D-01; Svalbard_D-02; Svalbard_D-03; Svalbard_D-04; Svalbard_D-05; Svalbard_D-06; Svalbard_D-07; Svalbard_E-01; Svalbard_E-02; Svalbard_E-03; Svalbard_E-04; Svalbard_E-05; Svalbard_F-01; Svalbard_F-02; Svalbard_F-03; Svalbard_F-04; Svalbard_F-05; Svalbard_F-06; Svalbard_F-07; Svalbard_F-08; Svalbard_F-09; Svalbard_F-10; Svalbard_F-11; Svalbard_F-12; Svalbard_G-01; Svalbard_G-02; Svalbard_G-03; Svalbard_G-04; Svalbard_H-01; Svalbard_H-02; Svalbard_H-03; Svalbard_H-04; Svalbard_H-05; Svalbard_H-06; Svalbard_H-07; Svalbard_H-08; Svalbard_H-09; Svalbard_I-01; Svalbard_I-02; Svalbard_I-03; Svalbard_I-04; Svalbard_I-05; Svalbard_I-06; Svalbard_I-07; Svalbard_I-08; Svalbard_I-09; Svalbard_I-10
    Type: Dataset
    Format: text/tab-separated-values, 981 data points
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  • 5
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    PANGAEA
    In:  Supplement to: Möller, Marco; Möller, Rebecca (2017): Modeling glacier-surface albedo across Svalbard for the 1979-2015 period: The HiRSvaC500-alpha data set. Journal of Advances in Modeling Earth Systems, 9, 19 pp, https://doi.org/10.1002/2016MS000752
    Publication Date: 2023-01-13
    Description: Albedo is an important quantity for determining the energy balance of snow and ice surfaces and thus also for the mass balance of glaciers. It is especially important in polar regions where shortwave radiation fluxes typically provide most of the energy input to a glacier. In order to use albedo data in any spatially distributed glaciological modeling, it is vital that the albedo fields are not only of high accuracy, but also available on sufficiently high spatial resolution and in a manner that is consistent over time. This article presents the newly developed data set HiRSvaC500-alpha which provides daily updated, gapless albedo fields for all glacierized areas of the Arctic archipelago Svalbard on a 500 m resolution over the period 1979–2015. Albedo modeling for creation of the data set is done using a multi-step geostatistical approach on the basis of remotely-sensed Moderate Resolution Imaging Spectroradiometer (MODIS) albedo data and gridded ERA-Interim climate data. Validation of the modeled HiRSvaC500-alpha albedo fields against in situ albedo measurements at automatic weather stations operated on two different glaciers suggests that the accuracy of the newly developed data set lies close to that of remotely-sensed MODIS albedo data. An analysis of the HiRSvaC500-alpha albedo data set yields a mean annual-average albedo of 0.754 across all glaciers of Svalbard over 1979–2015. A decrease of albedo with time is found, following a highly significant (95% level) trend of -0.010 per decade. For certain subregions, this trend even reaches up to -0.014 per decade.
    Keywords: Date/time end; Date/time start; File format; File name; File size; MULT; Multiple investigations; Svalbard; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 216 data points
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  • 6
    Publication Date: 2023-01-13
    Keywords: Ablation; Automatic weather station; AWS; Comment; DATE/TIME; HEIGHT above ground; Humidity, relative; Iceland_AWS; Precipitation; Short-wave downward (GLOBAL) radiation; Short-wave upward (REFLEX) radiation; Surface temperature; Temperature, air; Wind direction; Wind speed
    Type: Dataset
    Format: text/tab-separated-values, 43854 data points
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  • 7
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    PANGAEA
    In:  Supplement to: Möller, Marco; Möller, Rebecca; Beaudon, Emilie; Mattila, Olli-Pekka; Finkelnburg, Roman; Braun, Matthias Holger; Grabiec, Mariusz; Jonsell, Ulf; Luks, Bartłomiej; Puczko, Dariusz; Scherer, Dieter; Schneider, Christoph (2011): Snowpack characteristics of Vestfonna and De Geerfonna (Nordaustlandet, Svalbard) - a spatiotemporal analysis based on multiyear snow-pit data. Geografiska Annaler Series A-Physical Geography, 93(4), 273-285, https://doi.org/10.1111/j.1468-0459.2011.00440.x
    Publication Date: 2023-12-13
    Description: Extensive glaciological field measurements were carried out on the ice cap Vestfonna as well as on the minor ice body De Geerfonna (Nordaustlandet, Svalbard) within the framework of IPY Kinnvika. Field campaigns were conducted during the period 2007-2010 in spring (April/May) and summer (August). In this study we compile and present snow cover information obtained from 22 snow pits that were dug on Vestfonna during this period. Locations are along two transects on the northwestern, land terminating slope of the ice cap, on its central summit, Ahlmann Summit, and at a set of several other locations in the eastern and northern part of the ice cap. Snow-cover information acquired from four snow pits on adjacent De Geerfonna is also incorporated in this study. Field data are analysed regarding snow stratigraphy, snow density, snow hardness and snow temperature. Results reveal mean snow densities of around 400 kg/m**3 for the snowpack of Vestfonna with no apparent spatial or interannual variability. A distinctly higher value of more than 450 kg/m**3 was obtained for De Geerfonna. A spatial comparison of snow water equivalents above the previous end-of-summer surface serves for obtaining insights into the spatial distribution of snow accumulation across Vestfonna. Altitude was found to be the only significant spatial parameter for controlling snow accumulation across the ice cap.
    Keywords: DATE/TIME; DeGeerfonna_DG; Density, snow; Density, standard deviation; Depth, relative; Depth water equivalent; ELEVATION; Event label; Glacier; Hardness description; Identification; International Polar Year (2007-2008); International Polar Year 2007-2008; IPY; IPY-4; Latitude of event; Longitude of event; Nordaustlandet, Svalbard; SNOWPIT; Snow pit; Standard deviation; Temperature, air; Temperature, ice/snow; Temperature, ice/snow, maximum; Temperature, ice/snow, minimum; Temperature, ice/snow, standard deviation; UTM Easting, Universal Transverse Mercator; UTM Northing, Universal Transverse Mercator; UTM Zone, Universal Transverse Mercator; Vestfonna_V1; Vestfonna_V10; Vestfonna_V11; Vestfonna_V12; Vestfonna_V13; Vestfonna_V14; Vestfonna_V15; Vestfonna_V16; Vestfonna_V17; Vestfonna_V18; Vestfonna_V2; Vestfonna_V3; Vestfonna_V4; Vestfonna_V5; Vestfonna_V6; Vestfonna_V7; Vestfonna_V8; Vestfonna_V9
    Type: Dataset
    Format: text/tab-separated-values, 454 data points
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  • 8
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Science Ltd.
    Journal of metamorphic geology 16 (1998), S. 0 
    ISSN: 1525-1314
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: Relict eclogites and associated high-pressure rocks are present in the Eastern Segment of the SW Swedish gneiss region (the tectonic counterpart of the Parautochthonous Belt of the Canadian Grenville). These rocks give evidence of Sveconorwegian eclogite facies metamorphism and subsequent pervasive reworking and deformation at granulite and amphibolite facies conditions. The best-preserved eclogite relics suggest a clockwise P–T –t history, beginning in the amphibolite facies, progressing through the eclogite facies, decompressing and partially reequilibrating through the high- and medium-pressure granulite facies, before cooling through the amphibolite facies. Textures demonstrate the former coexistence of the plagioclase-free assemblages garnet+clinopyroxene+quartz+rutile+ilmenite, garnet+clinopyroxene+ kyanite+rutile, and garnet+kyanite+quartz+rutile. The former existence of omphacite is evidenced by up to 45 vol.% plagioclase expelled as small grains within large clinopyroxene. Matrix plagioclase is secondary and occurs expelled from clinopyroxene or in fine-grained, granulite facies reaction domains formed during resorption of garnet and kyanite. Garnet shows preserved prograde growth zoning with rimward increasing pyrope content, decreasing spessartine content and decreasing Fe/(Fe+Mg) ratio, but is partly resorbed and reequilibrated at the rims. P–T estimates from microdomains with clinopyroxene+plagioclase+quartz+garnet indicate pressures of 9.5–12 kbar and temperatures of 705–795 °C for a stage of the granulite facies decompression. The preservation of the prograde zoning suggests that the rocks did not reside at these high temperatures for more than a few million years, and chemical disequilibrium and ‘frozen’ reaction textures indicate heterogeneous reaction progress and overstepping of reactions during the decompression through the granulite facies. Together these features suggest a rapid tectonic exhumation. The eclogite relics occur within a high-grade deformation zone with WNW–ESE stretching and associated oblique normal-sense, top-to-the-east (sensu lato) displacement, suggesting that extension was a main cause for the decompression and exhumation. Probable tectonic scenarios for this deformation are Sveconorwegian late-orogenic gravitational collapse or overall WNW–ESE extension.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Science Ltd.
    Journal of metamorphic geology 16 (1998), S. 0 
    ISSN: 1525-1314
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: To constrain the tectonic history of the Pan-African belt in Tanzania, we have studied the P–T  evolution of granulites from northern and eastern Tanzania representative for a large part of the southern Pan-African belt of East Africa (e.g. Pare, Usambara, Ukaguru and Uluguru Mountains). Thermobarometry (conventional and multireaction equilibria) on enderbites and metapelites gives 9.5–11 kbar and 810±40 °C during peak metamorphism at 650–620 Ma. This is consistent with the occurrence of both sillimanite and kyanite in metapelites and of the high-P granulite facies assemblage garnet–clinopyroxene–quartz in mafic rocks. Peak metamorphic conditions are surprisingly similar over a very large area with N-S and E-W extents of about 700 and 200 km respectively. The prograde metamorphic evolution in the entire area started in the kyanite field but evolved mainly within the sillimanite stability field. The retrograde P–T  evolution is characterized by late-stage kyanite in metapelites and garnet–clinopyroxene coronas around orthopyroxene in meta-igneous rocks. This is in agreement with thermobarometric results and isotopic dating, indicating a period of nearly isobaric and slow cooling prior to tectonic uplift. The anticlockwise P–T  path could have resulted from magmatic underplating and loading of the lower continental crust which caused heating and thickening of the crust. Substantial postmetamorphic crustal thickening of yet unknown age (presumably after 550 Ma) led subsequently to the exhumation of high-P granulites over a large area. The results are consistent with formation of the Pan-African granulites at an active continental margin where tonalitic intrusions caused crustal growth and heating 70–100 Ma prior to continental collision. The P–T–t path contradicts recent geodynamic models which proposed tectonic crustal thickening due to continental collision between East and West Gondwana as the cause of granulite formation in the southern part of the Pan-African belt.
    Type of Medium: Electronic Resource
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