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  • 2010-2014  (3,084,839)
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  • 1
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    Mass balance and acceleration of the Greenland ice sheet (2012)
    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
    Details
    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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    (Table 3) Details of field-based ice and snow profile measurements from the SIMBA 2007 experiment (2011)
    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
    Details
    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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    (Table 1) GRACE-derived mass balance of the Greenland ice sheet 2002-2010 (2012)
    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
    Details
    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
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    (Table 1) Regional mass trends of the Greenland ice sheet for the common time interval October 2003-2009 (2012)
    PANGAEA
    Details
    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
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    (Table 2) Regional mass trends and acceleration of the Greenland ice sheet for the common time interval August 2002-2010 (2012)
    PANGAEA
    Details
    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
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    Growth rate of Bolinopsis mikado determined experimentally (2014)
    PANGAEA
    Details
    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
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    Pb isotopic compositions database for South America, Patagonia, Asia, North Afria, Sahara, and Australia (2014)
    PANGAEA
    Details
    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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    (Figure 2) Proxy records of sediment core GeoB6007-2 (2010)
    PANGAEA
    In:  Supplement to: Bamberg, Audrey; Rosenthal, Yair; Paul, André; Heslop, David; Mulitza, Stefan; Rühlemann, Carsten; Schulz, Michael (2010): Reduced North Atlantic Central Water formation in response to early Holocene ice-sheet melting. Geophysical Research Letters, 37, L17705, https://doi.org/10.1029/2010GL043878
    Details
    Publication Date: 2024-05-31
    Description: Central waters of the North Atlantic are fundamental for ventilation of the upper ocean and are also linked to the strength of the Atlantic Meridional Overturning Circulation (AMOC). Here, we show based on benthic foraminiferal Mg/Ca ratios, that during times of enhanced melting from the Laurentide Ice Sheet (LIS) between 9.0-8.5 thousand years before present (ka) the production of central waters weakened the upper AMOC resulting in a cooling over the Northern Hemisphere. Centered at 8.54 ± 0.2 ka and 8.24 ± 0.1 ka our dataset records two ~150-year cooling events in response to the drainage of Lake Agassiz/Ojibway, indicating early slow-down of the upper AMOC in response to the initial freshwater flux into the subpolar gyre (SPG) followed by a more severe weakening of both the upper and lower branches of the AMOC at 8.2 ka. These results highlight the sensitivity of regional North Atlantic climate change to the strength of central-water overturning and exemplify the impact of both gradual and abrupt freshwater fluxes on eastern SPG surface water convection. In light of the possible future increase in Greenland Ice Sheet melting due to global warming these findings may help us to better constrain and possibly predict future North Atlantic climate change.
    Keywords: BGR; Bundesanstalt für Geowissenschaften und Rohstoffe, Hannover; Center for Marine Environmental Sciences; GeoB6007-2; Gravity corer (Kiel type); Integrierte Analyse zwischeneiszeitlicher Klimadynamik; INTERDYNAMIK; M45/5a; MARUM; Meteor (1986); SL
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 9
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    Expanded GHOST database (2010)
    PANGAEA
    In:  Supplement to: Leduc, Guillaume; Schneider, Ralph R; Kim, Jung-Hyun; Lohmann, Gerrit (2010): Holocene and Eemian Sea surface temperature trends as revealed by alkenone and Mg/Ca paleothermometry. Quaternary Science Reviews, 29(7-8), 989-1004, https://doi.org/10.1016/j.quascirev.2010.01.004
    Details
    Publication Date: 2024-05-31
    Description: In this study we review a global set of alkenone- and foraminiferal Mg/Ca-derived sea surface temperatures (SST) records from the Holocene and compare them with a suite of published Eemian SST records based on the same approach. For the Holocene, the alkenone SST records belong to the actualized GHOST database (Kim, J.-H., Schneider R.R., 2004). The actualized GHOST database not only confirms the SST changes previously described but also documents the Holocene temperature evolution in new oceanic regions such as the Northwestern Atlantic, the eastern equatorial Pacific, and the Southern Ocean. A comparison of Holocene SST records stemming from the two commonly applied paleothermometry methods reveals contrasting - sometimes divergent - SST evolution, particularly at low latitudes where SST records are abundant enough to infer systematic discrepancies at a regional scale. Opposite SST trends at particular locations could be explained by out-of-phase trends in seasonal insolation during the Holocene. This hypothesis assumes that a strong contrast in the ecological responses of coccolithophores and planktonic foraminifera to winter and summer oceanographic conditions is the ultimate reason for seasonal differences in the origin of the temperature signal provided by these organisms. As a simple test for this hypothesis, Eemian SST records are considered because the Holocene and Eemian time periods experienced comparable changes in orbital configurations, but had a higher magnitude in insolation variance during the Eemian. For several regions, SST changes during both interglacials were of a similar sign, but with higher magnitudes during the Eemian as compared to the Holocene. This observation suggests that the ecological mechanism shaping SST trends during the Holocene was comparable during the penultimate interglacial period. Although this "ecology hypothesis" fails to explain all of the available results, we argue that any other mechanism would fail to satisfactorily explain the observed SST discrepancies among proxies.
    Keywords: 108-658C; 138-846; 160-967D; 160-969E; 161-977; 162-984; 165-1002C; 165-999A; 167-1012B; 167-1017E; 167-1019C; 175-1078C; 175-1084B; 184-1145C; 2; 202-1233; 202-1240; 202-1242; 225514; 225517; 71; 90b; 96; 96-619; A-7; AD91-17; Alboran Sea; also published as VM28-122; Angola Basin; Arabian Sea; Arctic Ocean; Atlantic Ocean; AUSCAN; Bay of Bengal; BCR; BENEFIT/4; BENGAL FAN; Benguela Current, South Atlantic Ocean; BOFS31/1K; BOFS31#1; Box corer (Reineck); BS79-33; BS79-38; CALYPSO; Calypso Corer; Canarias Sea; Caribbean Sea; Cayman Rise, Caribbean Sea; CD159-12; CD53; CEPAG; CH07-98-GGC19; Charles Darwin; Chatham Rise; CHIPAL; Cocos Ridge; COMPCORE; Composite Core; Congo Fan; D13882; D249; De Soto Canyon; Discovery (1962); DRILL; Drilling/drill rig; Eastern Basin; East Pacific; Emperor Seamounts; Equatorial East Pacific; GC; GeoB1023-5; GeoB3129-1; GeoB3313-1; GeoB3910-2; GeoB4509-2; GeoB4905-4; GeoB5546-2; GeoB5844-2; GeoB5901-2; GeoB6007-2; GeoB6518-1; GeoB7139-2; GeoB7926-2; GEOSCIENCES, MARMARCORE; GeoTü SL71; GGC; GGC-15-1; Giant box corer; Giant gravity corer; Giant piston corer; GIK17748-2; GIK17940-2; GIK17964-1; GIK18252-3; GIK18287-3; GIK23258-2; GINCO 3; GKG; Glomar Challenger; GPC; Gravity corer; Gravity corer (Kiel type); Gulf of Mexico; Hakuho-Maru; HOTLINE, HYGAPE; IMAGES I; IMAGES III - IPHIS; IMAGES IV-IPHIS III; IMAGES IX - PAGE; IMAGES V; IMAGES VIII - MONA; IMAGES VII - WEPAMA; Indian Ocean; Indonesia; Integrierte Analyse zwischeneiszeitlicher Klimadynamik; INTERDYNAMIK; IOW225514; IOW225517; IOW4509B; James Clark Ross; Joides Resolution; JOPSII-6; JR20000727; JR51; JR51GC-35; JT96-0909PC; KAL; Kasten corer; KH-01-3; KH-01-3-19; KL; KL_Mg; Knorr; KNR176-2; KNR176-JPC32; Kurilen Trench; LAPAZ21P; Leg108; Leg138; Leg160; Leg161; Leg162; Leg165; Leg167; Leg175; Leg184; Leg202; Leg96; Le Suroît; M34/4; M35/1; M35003-4; M39/1; M39/1_08-3; M39008-3; M40/4; M40/4_87-6SL; M40/4_SL67; M40/4_SL71; M40/4_SL78; M40/4_SL78-3; M40/4_SL87; M41/1; M42/4b; M44/1; M44/1_74KL; M44/1_KL71; M44/3; M45/1; M45/5a; M47/3; M53/1; M6/6; M7/2; Marge Ibérique; Marion Dufresne (1972); Marion Dufresne (1995); Marmara Sea; MD01-2334; MD012378; MD01-2378; MD012390; MD01-2390; MD012412; MD01-2412; MD012416; MD01-2416; MD01-2443; MD022529; MD02-2529; MD022575; MD02-2575; MD032611G; MD03-2611G; MD03-2707; MD101; MD106; MD111; MD114; MD122; MD123; MD126; MD127; MD13; MD131; MD77-194; MD79-257; MD85674; MD94-103; MD952011; MD95-2011; MD952015; MD95-2015; MD952042; MD95-2042; MD952043; MD95-2043; MD972120; MD97-2120; MD972121; MD97-2121; MD972125; MD97-2125; MD972141; MD97-2141; MD972151; MD97-2151; MD982162; MD98-2162; MD982165; MD98-2165; MD982170; MD98-2170; MD982176; MD98-2176; MD982181; MD98-2181; MD99-2155; MD99-2251; MD99-2334; ME0005A; ME0005A-24JC; Melville; Meteor (1986); MONITOR MONSUN; NE-Brazilian continental margin; NEMO; Northeast Atlantic; Northeast Brasilian Margin; Northern Red Sea; North Pacific Ocean; North-West African margin; OCE326-GGC26; OCE326-GGC30; off Cameroon; OSIRIS4; OSIRIS III; Pacific Ocean; PAKOMIN; PC; PC-17; PC-2; PC-4; Petr Kottsov; Piston corer; Piston corer (BGR type); Piston corer Meischner large; PL07-39PC; Portuguese Margin; PUCK; RAPID-12-1K; RC11; RC1112; RC11-238; Reykjanes Ridge; RL11; Robert Conrad; Rockall; SCS90-36; SL; SO102/1; SO115; SO115_05; SO115_40; SO136; SO136_011GC; SO139; SO139-74KL; SO156/2; SO80_4; SO80a; SO90; SO90_136KL; SO90_39KG; SO90_93KL; SO93/3; SO93/3_126KL; SO95; Sonne; South Atlantic Ocean; South China Sea; South-East Pacific; Southern Ocean; Southern Okhotsk Sea; South Pacific Ocean; SSDP102; St.14; St.20; SU81-18; SUNDAFLUT; Sunda Shelf; TASQWA; Timor Sea; TN057-21; TR163-19; TR163-22; TY93-905; TY93929/P; U938; V19; V19-27; V19-28; V19-30; V21; V21-30; V28; V28-122; Vema; Victor Hensen; Vietnam shelf; Voring Plateau
    Type: Dataset
    Format: application/zip, 133 datasets
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  • 10
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    Sr/Ca and stable isotope records of Diplora strigosa coral sample BON-9-A from the east coast of Bonaire (2010)
    PANGAEA
    In:  Supplement to: Giry, Cyril; Felis, Thomas; Kölling, Martin; Scheffers, Sander R (2010): Geochemistry and skeletal structure of Diploria strigosa, implications for coral-based climate reconstruction. Palaeogeography, Palaeoclimatology, Palaeoecology, 298, 378-387, https://doi.org/10.1016/j.palaeo.2010.10.022
    Details
    Publication Date: 2024-05-31
    Description: Geochemical tracers incorporated into the skeleton of reef-building corals are ideal proxies for reconstructing environmental parameters of ambient seawater such as temperature and salinity at subseasonal resolution. However, validation concerns of these environmental proxies due to the complex skeleton of some tropical Atlantic corals have hindered such coral-based environmental reconstructions in this region compared to the tropical Pacific. In order to identify complications associated with the complex skeletal architecture of the massive brain coral Diploria strigosa, we performed microsampling experiments along and across individual skeletal elements. We demonstrate that the mesoscale heterogeneity of Sr/Ca, d18O and d13C is a systematic feature of D. strigosa and is linked to different vital effects between skeletal elements. The thecal wall is significantly depleted in Sr, 18O and 13C compared to the adjacent septa and columella and differences between apparent temperature signatures of several degrees are greater for Sr/Ca suggesting that this temperature proxy is more sensitive to skeletal mixing than d18O. Parallel subseasonal microsampling experiments performed along individual skeletal elements of a single corallite of a D. strigosa coral which grew at a rate of 0.65 cm/year allow for investigating potential biases associated with its complex skeletal mesoarchitecture. Highest correlation between Sr/Ca and d18O from skeletal material retrieved from the centre of the thecal wall suggests that microdrilling the theca provides the best environmental signal compared to adjacent microsampling profiles. Moreover, based on monthly-mean climatology, the temperature dependence of Sr/Ca for this profile is comparable to previous calibrations published from faster growing D. strigosa. Based on these results, we conclude that accurate microsampling along the centre of the thecal wall of D. strigosa is a prerequisite for generating robust climate reconstructions from its skeleton.
    Keywords: BON-9-A; CaribClim_Coral_2006; Center for Marine Environmental Sciences; DRILL; Drilling/drill rig; Integrierte Analyse zwischeneiszeitlicher Klimadynamik; INTERDYNAMIK; MARUM; Southern Caribbean Sea, Bonaire
    Type: Dataset
    Format: application/zip, 3 datasets
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