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  • 2010-2014  (3,084,839)
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  • 1
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    PANGAEA
    In:  Supplement to: Sasgen, Ingo; van den Broeke, Michiel R; Bamber, Jonathan L; Rignot, Eric; Sørensen, Louise Sandberg; Wouters, Bert; Martinec, Zdenek; Velicogna, Isabella; Simonsen, Sebastian B (2012): Timing and origin of recent regional ice-mass loss in Greenland. Earth and Planetary Science Letters, 333-334, 293-303, https://doi.org/10.1016/j.epsl.2012.03.033
    Publication Date: 2024-06-01
    Description: Within the last decade, the Greenland ice sheet (GrIS) and its surroundings have experienced record high surface temperatures (Mote, 2007, doi:10.1029/2007GL031976; Box et al., 2010), ice sheet melt extent (Fettweis et al., 2011, doi:10.5194/tc-5-359-2011) and record-low summer sea-ice extent (Nghiem et al., 2007, doi:10.1029/2007GL031138). Using three independent data sets, we derive, for the first time, consistent ice-mass trends and temporal variations within seven major drainage basins from gravity fields from the Gravity Recovery and Climate Experiment (GRACE; Tapley et al., 2004, doi:10.1029/2004GL019920), surface-ice velocities from Inteferometric Synthetic Aperture Radar (InSAR; Rignot and Kanagaratnam, 2006, doi:10.1126/science.1121381) together with output of the regional atmospheric climate modelling (RACMO2/ GR; Ettema et al., 2009, doi:10.1029/2009GL038110), and surface-elevation changes from the Ice, cloud and land elevation satellite (ICESat; Sorensen et al., 2011, doi:10.5194/tc-5-173-2011). We show that changing ice discharge (D), surface melting and subsequent run-off (M/R) and precipitation (P) all contribute, in a complex and regionally variable interplay, to the increasingly negative mass balance of the GrIS observed within the last decade. Interannual variability in P along the northwest and west coasts of the GrIS largely explains the apparent regional mass loss increase during 2002-2010, and obscures increasing M/R and D since the 1990s. In winter 2002/2003 and 2008/2009, accumulation anomalies in the east and southeast temporarily outweighed the losses by M/R and D that prevailed during 2003-2008, and after summer 2010. Overall, for all basins of the GrIS, the decadal variability of anomalies in P, M/R and D between 1958 and 2010 (w.r.t. 1961-1990) was significantly exceeded by the regional trends observed during the GRACE period (2002-2011).
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 2
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    PANGAEA
    In:  Supplement to: Xie, Hongjie; Ackley, Stephen F; Yi, D; Zwally, H Jay; Wagner, P; Weissling, Blake P; Lewis, M; Ye, K (2011): Sea-ice thickness distribution of the Bellingshausen Sea from surface measurements and ICESat altimetry. Deep Sea Research Part II: Topical Studies in Oceanography, 58(9-10), 1039-1051, https://doi.org/10.1016/j.dsr2.2010.10.038
    Publication Date: 2024-06-01
    Description: Although sea-ice extent in the Bellingshausen-Amundsen (BA) seas sector of the Antarctic has shown significant decline over several decades, there is not enough data to draw any conclusion on sea-ice thickness and its change for the BA sector, or for the entire Southern Ocean. This paper presents our results of snow and ice thickness distributions from the SIMBA 2007 experiment in the Bellingshausen Sea, using four different methods (ASPeCt ship observations, downward-looking camera imaging, ship-based electromagnetic induction (EM) sounding, and in situ measurements using ice drills). A snow freeboard and ice thickness model generated from in situ measurements was then applied to contemporaneous ICESat (satellite laser altimetry) measured freeboard to derive ice thickness at the ICESat footprint scale. Errors from in situ measurements and from ICESat freeboard estimations were incorporated into the model, so a thorough evaluation of the model and uncertainty of the ice thickness estimation from ICESat are possible. Our results indicate that ICESat derived snow freeboard and ice thickness distributions (asymmetrical unimodal tailing to right) for first-year ice (0.29 ± 0.14 m for mean snow freeboard and 1.06 ± 0.40 m for mean ice thickness), multi-year ice (0.48 ± 0.26 and 1.59 ± 0.75 m, respectively), and all ice together (0.42 ± 0.24 and 1.38 ± 0.70 m, respectively) for the study area seem reasonable compared with those values from the in situ measurements, ASPeCt observations, and EM measurements. The EM measurements can act as an appropriate supplement for ASPeCt observations taken hourly from the ship's bridge and provide reasonable ice and snow distributions under homogeneous ice conditions. Our proposed approaches: (1) of using empirical equations relating snow freeboard to ice thickness based on in situ measurements and (2) of using isostatic equations that replace snow depth with snow freeboard (or empirical equations that convert freeboard to snow depth), are efficient and important ways to derive ice thickness from ICESat altimetry at the footprint scale for Antarctic sea ice. Spatial and temporal snow and ice thickness from satellite altimetry for the BA sector and for the entire Southern Ocean is therefore possible.
    Keywords: Bellingshausen Sea; Event label; Freeboard; ICE; Ice station; International Polar Year (2007-2008); IPY; Latitude of event; Longitude of event; Nathaniel B. Palmer; NBP0709; Number of measurements; Sea ice thickness; SIMBA; SIMBA_Brussels; SIMBA_Fabra; SIMBA_Station-1; SIMBA_Station-2; SIMBA_Station-3; Snow thickness
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 3
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    PANGAEA
    In:  Supplement to: Bergmann, Inga; Ramillien, Guillaume; Frappart, Frédéric (2012): Climate-driven interannual ice mass evolution in Greenland. Global and Planetary Change, 82-83, 1-11, https://doi.org/10.1016/j.gloplacha.2011.11.005
    Publication Date: 2024-06-01
    Description: We re-evaluate the Greenland mass balance for the recent period using low-pass Independent Component Analysis (ICA) post-processing of the Level-2 GRACE data (2002-2010) from different official providers (UTCSR, JPL, GFZ) and confirm the present important ice mass loss in the range of -70 and -90 Gt/y of this ice sheet, due to negative contributions of the glaciers on the east coast. We highlight the high interannual variability of mass variations of the Greenland Ice Sheet (GrIS), especially the recent deceleration of ice loss in 2009-2010, once seasonal cycles are robustly removed by Seasonal Trend Loess (STL) decomposition. Interannual variability leads to varying trend estimates depending on the considered time span. Correction of post-glacial rebound effects on ice mass trend estimates represents no more than 8 Gt/y over the whole ice sheet. We also investigate possible climatic causes that can explain these ice mass interannual variations, as strong correlations between GRACE-based mass balance and atmosphere/ocean parallels are established: (1) changes in snow accumulation, and (2) the influence of inputs of warm ocean water that periodically accelerate the calving of glaciers in coastal regions and, feed-back effects of coastal water cooling by fresh currents from glaciers melting. These results suggest that the Greenland mass balance is driven by coastal sea surface temperature at time scales shorter than accumulation.
    Keywords: Date/time end; Date/time start; Description; GeoForschungszentrum Potsdam; GFZ; GRACE satellite data, processed; Greenland; Greenland_Ice; International Polar Year (2007-2008); IPY; Mass balance; Reference/source; Standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
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  • 4
    Publication Date: 2024-06-01
    Keywords: ANU* corrected GRACE satellite data, CSR-RL04; Area; Area/locality; Event label; Greenland; Greenland_A; Greenland_B; Greenland_C; Greenland_D; Greenland_E; Greenland_F; Greenland_G; Greenland_Ice; ICE-5G* corrected GRACE satellite data, CSR-RL04; ICESat satellite data, ICE-5G corrected; Mass balance; SAT; Satellite remote sensing; Standard deviation; Surface mass balance and ice discharge SMB-D; Time coverage
    Type: Dataset
    Format: text/tab-separated-values, 88 data points
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  • 5
    Publication Date: 2024-06-01
    Keywords: Acceleration; Area; Area/locality; Event label; Greenland; Greenland_A; Greenland_B; Greenland_C; Greenland_D; Greenland_E; Greenland_F; Greenland_G; Greenland_Ice; ICE-5G* corrected GRACE satellite data, CSR-RL04; Mass balance; SAT; Satellite remote sensing; Standard deviation; Surface mass balance and ice discharge SMB-D; Time coverage
    Type: Dataset
    Format: text/tab-separated-values, 104 data points
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  • 6
    Publication Date: 2024-06-01
    Keywords: B_mikado_GROWTHEXP; Biomass as carbon per individual; Growth rate as carbon per carbon biomass; Growth rate as carbon per individual; Taxon/taxa; Treatment: temperature; Uniform resource locator/link to reference; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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  • 7
    Publication Date: 2024-06-01
    Keywords: Area/locality; DEPTH, sediment/rock; LATITUDE; Latitude 2; Lead-206/Lead-204 ratio; Lead-207/Lead-204 ratio; Lead-208/Lead-204 ratio; LONGITUDE; Longitude 2; Reference/source; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 9802 data points
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  • 8
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    PANGAEA
    In:  Supplement to: Werner, Kirstin; Tarasov, Pavel E; Andreev, Andrei A; Müller, Stefanie; Kienast, Frank; Zech, Michael; Zech, Wolfgang; Diekmann, Bernhard (2010): A 12.5-kyr history of vegetation dynamics and mire development with evidence of Younger Dryas larch presence in the Verkhoyansk Mountains, East Siberia, Russia. Boreas, 39, 56-68, https://doi.org/10.1111/j.1502-3885.2009.00116.x
    Publication Date: 2024-05-31
    Description: A 415cm thick permafrost peat section from the Verkhoyansk Mountains was radiocarbon-dated and studied using palaeobotanical and sedimentological approaches. Accumulation of organic-rich sediment commenced in a former oxbow lake, detached from a Dyanushka River meander during the Younger Dryas stadial, at ~12.5 kyr BP. Pollen data indicate that larch trees, shrub alder and dwarf birch were abundant in the vegetation at that time. Local presence of larch during the Younger Dryas is documented by well-preserved and radiocarbon-dated needles and cones. The early Holocene pollen assemblages reveal high percentages of Artemisia pollen, suggesting the presence of steppe-like communities around the site, possibly in response to a relatively warm and dry climate ~11.4-11.2 kyr BP. Both pollen and plant macrofossil data demonstrate that larch woods were common in the river valley. Remains of charcoal and pollen of Epilobium indicate fire events and mark a hiatus ~11.0-8.7 kyr BP. Changes in peat properties, C31/C27 alkane ratios and radiocarbon dates suggest that two other hiatuses occurred ~8.2-6.9 and ~6.7-0.6 kyr BP. Prior to 0.6 kyr BP, a major fire destroyed the mire surface. The upper 60 cm of the studied section is composed of aeolian sands modified in the uppermost part by the modern soil formation. For the first time, local growth of larch during the Younger Dryas has been verified in the western foreland of the Verkhoyansk Mountains (~170km south of the Arctic Circle), thus increasing our understanding of the quick reforestation of northern Eurasia by the early Holocene.
    Keywords: AGE; Alnus fruticosa-type; Alnus glutinosa; Apiaceae; Artemisia; Asteraceae; Betula alba-type; Betula nana-type; Botrychium; Botrychium lunaria-type; Brassicaceae; Bryozoa, statoblast; Callitriche; Caryophyllaceae; Chenopodiaceae; Chironomidae remains; Cichoriaceae; Cladocera; Cosmarium; Counting, palynology; Cyperaceae; DEPTH, sediment/rock; Drosera; Ephedra; Epilobium; Equisetum; Ericales; Glomus; Huperzia; Indeterminata; Insect remains; Integrierte Analyse zwischeneiszeitlicher Klimadynamik; INTERDYNAMIK; Juniperus; K7/P2; Lamiaceae; Larix; Linum; Lycopodium; Lycopodium annotinum; Lycopodium clavatum; Menyanthes trifoliata; Myriophyllum; Neorhabdocoela; Pediastrum; Picea; Pinaceae; Pinus pumila; Poaceae; Podospora-type; Pollen, per unit sediment mass; Pollen, redeposited; Pollen, total; Polygonum bistorta-type; Polygonum lapathifolium-type; Polypodium; Potamogeton; PROFILE; Profile sampling; Ranunculaceae; Riccia; Rosaceae; Rumex; Salix; Sanguisorba officinalis; Saxifraga; Scrofulariaceae; Selaginella rupestris; Siberia, Russia; Sordaria; Sparganium; Sphagnum; Sporormiella; Stomata pinaceae; Tardigrada; Thalictrum; Urtica; Zygospore
    Type: Dataset
    Format: text/tab-separated-values, 5400 data points
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  • 9
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-31
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 960330, WRMC No. 16013; Pyranometer, Kipp & Zonen, CM21, SN 960331, WRMC No. 16014; Pyranometer, Kipp & Zonen, CM22, SN 010048, WRMC No. 16023; Pyrgeometer, Kipp & Zonen, CG4, SN 010582, WRMC No. 16026; Pyrgeometer, Kipp & Zonen, CG4, SN 030641, WRMC No. 16032; Pyrheliometer, Kipp & Zonen, CH1, SN 950093, WRMC No. 16011; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073588 data points
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  • 10
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    PANGAEA
    In:  Aerological Observatory, Japan Meteorological Agency
    Publication Date: 2024-05-31
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Japan; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 960330, WRMC No. 16013; Pyranometer, Kipp & Zonen, CM21, SN 960331, WRMC No. 16014; Pyranometer, Kipp & Zonen, CM22, SN 010048, WRMC No. 16023; Pyrgeometer, Kipp & Zonen, CG4, SN 010582, WRMC No. 16026; Pyrgeometer, Kipp & Zonen, CG4, SN 030641, WRMC No. 16032; Pyrheliometer, Kipp & Zonen, CH1, SN 950093, WRMC No. 16011; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; TAT; Tateno; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1073592 data points
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