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  • PANGAEA  (8,022)
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  • 1
    Publication Date: 2024-04-23
    Description: In this measurement campaign of five water bodies (lakes and reservoirs) several German research groups organised a joint effort to collect a data set for testing, evaluating, and potentially improving the abilities of satellite-based monitoring of water quality in standing waters. The strategy of the campaign is summarised in Figure 1 (documentation "Conceptual design of Inland Water Remote Sensing Validation Campaign 2017") and consists of three independently measured categories of data: (i) satellite-based monitoring, (ii) in situ monitoring, and (iii) bio-optical characterisation. The latter aspect, in particular, was intended in order to go beyond classical comparison of satellite-based and in-situ observations and to enable a more process-oriented and physically-based assessment of the observations made during the satellite overcasts. We concentrated our work on one week in summer 2017 and organised a synoptically measurement campaign on five lakes in Central Germany (Lake Arendsee, Lake Geiseltalsee, Kelbra Reservoir, Rappbode Reservoir, Lake Süßer See, see Tab. 1 in documentation "Main physical and limnological characteristics of the five water bodies from Inland Water Remote Sensing Validation Campaign 2017") based on various field and lab methods. The synoptically approach required the equipment of five sampling teams that are able to work independently from each other. Field- instruments used during the campaign (which required to be available in five sets) had been compared with each other in a separate intercalibration day. All lab-based measurements took place at the central lab of the Helmholtz-Centre for Environmental Research in Magdeburg using methods as outlined in Friese et al. (2014). The five water bodies were intentionally chosen because they reflect a broad range of temperate standing waters with respect to size, depth, trophic state, and the occurrence of cyanobacterial blooms. In addition, also natural and artificial water bodies are reflected by this set of lakes/reservoirs. To our knowledge, this is one of the rare multiple-teams efforts in remote sensing research on water quality making the collection of data in terms of their synoptic evaluation and broad methodological basis particularly useful and valuable.
    Keywords: IWRSVC-2017
    Type: Dataset
    Format: 9 datasets
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  • 2
    Publication Date: 2020-02-12
    Description: A major uncertainty in determining the mass balance of the Antarctic ice sheet from measurements of satellite gravimetry, and to a lesser extent satellite altimetry, is the poorly known correction for the ongoing deformation of the solid Earth caused by glacial isostatic adjustment (GIA). In the past decade, much progress has been made in consistently modelling the ice sheet and solid Earth interactions; however, forward-modelling solutions of GIA in Antarctica remain uncertain due to the sparsity of constraints on the ice sheet evolution, as well as the Earth's rheological properties. An alternative approach towards estimating GIA is the joint inversion of multiple satellite data - namely, satellite gravimetry, satellite altimetry and GPS, which reflect, with different sensitivities, trends of recent glacial changes and GIA. Crucial to the success of this approach is the accuracy of the space-geodetic data sets. Here, we present reprocessed rates of surface-ice elevation change (Envisat/ICESat; 2003-2009), gravity field change (GRACE; 2003-2009) and bedrock uplift (GPS; 1995-2013). The data analysis is complemented by the forward-modelling of viscoelastic response functions to disc load forcing, allowing us to relate GIA-induced surface displacements with gravity changes for different rheological parameters of the solid Earth. The data and modelling results presented here form the basis for the joint inversion estimate of present-day ice-mass change and GIA in Antarctica. This paper presents the first of two contributions summarizing the work carried out within a European Space Agency funded study, REGINA.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 3
    Publication Date: 2023-03-02
    Keywords: 302-CompSite; Age, comment; Age model; Age model, composite; Arctic Coring Expedition, ACEX; Calculated, see reference(s); CCGS Captain Molly Kool (Vidar Viking); COMPCORE; Composite Core; DEPTH, sediment/rock; Exp302; Integrated Ocean Drilling Program / International Ocean Discovery Program; Interval comments; IODP; Sample comment; Sedimentation rate
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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  • 4
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    PANGAEA
    In:  Supplement to: Siegert, Martin J; Dowdeswell, Julian A; Melles, Martin (1999): Late Weichselian glaciation of the Russian High Arctic. Quaternary Research, 52(3), 273-285, https://doi.org/10.1006/qres.1999.2082
    Publication Date: 2023-05-12
    Description: A numerical ice-sheet model was used to reconstruct the Late Weichselian glaciation of the Eurasian High Arctic, between Franz Josef Land and Severnaya Zemlya. An ice sheet was developed over the entire Eurasian High Arctic so that ice flow from the central Barents and Kara seas toward the northern Russian Arctic could be accounted for. An inverse approach to modeling was utilized, where ice-sheet results were forced to be compatible with geological information indicating ice-free conditions over the Taymyr Peninsula during the Late Weichselian. The model indicates complete glaciation of the Barents and Kara seas and predicts a “maximum-sized” ice sheet for the Late Weichselian Russian High Arctic. In this scenario, full-glacial conditions are characterized by a 1500-m-thick ice mass over the Barents Sea, from which ice flowed to the north and west within several bathymetric troughs as large ice streams. In contrast to this reconstruction, a “minimum” model of glaciation involves restricted glaciation in the Kara Sea, where the ice thickness is only 300 m in the south and which is free of ice in the north across Severnaya Zemlya. Our maximum reconstruction is compatible with geological information that indicates complete glaciation of the Barents Sea. However, geological data from Severnaya Zemlya suggest our minimum model is more relevant further east. This, in turn, implies a strong paleoclimatic gradient to colder and drier conditions eastward across the Eurasian Arctic during the Late Weichselian.
    Keywords: Ice extent; IceExtSiegert1999; LATITUDE; LONGITUDE; modelled; Quaternary Environment of the Eurasian North; QUEEN; QUEENModels; RECON; Reconstructed data
    Type: Dataset
    Format: text/tab-separated-values, 4859 data points
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  • 5
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    PANGAEA
    In:  Supplement to: Svendsen, John Inge; Astakhov, Valery I; Bolshiyanov, Dimitry Yu; Demidov, Igor; Dowdeswell, Julian A; Gataullin, Valery; Hjort, Christian; Hubberten, Hans-Wolfgang; Larsen, Eiliv; Mangerud, Jan; Melles, Martin; Möller, Per; Saarnisto, Matti; Siegert, Martin J (1999): Maximum extent of the Eurasian ice sheets in the Barents and Kara Sea region during the Weichselian. Boreas, 28(1), 234-242, https://doi.org/10.1111/j.1502-3885.1999.tb00217.x
    Publication Date: 2023-05-12
    Description: Based on field investigations in northern Russia and interpretation of offshore seismic data, we have made a preliminary reconstruction of the maximum ice-sheet extent in the Barents and Kara Sea region during the Early/Middle Weichselian and the Late Weichselian. Our investigations indicate that the Barents and Kara ice sheets attained their maximum Weichselian positions in northern Russia prior to 50 000 yr BP, whereas the northeastern flank of the Scandinavian Ice Sheet advanced to a maximum position shortly after 17000 calendar years ago. During the Late Weichselian (25 000-10000 yr BP), much of the Russian Arctic remained ice-free. According to our reconstruction, the extent of the ice sheets in the Barents and Kara Sea region during the Late Weichselian glacial maximum was less than half that of the maximum model which, up to now, has been widely used as a boundary condition for testing and refining General Circulation Models (GCMs). Preliminary numerical-modelling experiments predict Late Weichselian ice sheets which are larger than the ice extent implied for the Kara Sea region from dated geological evidence, suggesting very low precipitation.
    Keywords: IceExtArkhipov1986; IceExtSvendsen1999; Quaternary Environment of the Eurasian North; QUEEN; QUEENModels; RECON; Reconstructed data
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 6
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    PANGAEA
    In:  Supplement to: Kenny, Gavin; Schmieder, Martin; Whitehouse, Martin J; Nemchin, Alexander A; Morales, Luiz F G; Buchner, Elmar; Bellucci, Jeremy J; Snape, Joshua F (2019): A new U-Pb age for shock-recrystallised zircon from the Lappajärvi impact crater, Finland, and implications for the accurate dating of impact events. Geochimica et Cosmochimica Acta, 245, 479-494, https://doi.org/10.1016/j.gca.2018.11.021
    Publication Date: 2023-01-13
    Description: U-Pb data for shock-recrystallised zircon from the Lappajärvi impact crater, Finland.
    Keywords: Age, 206Pb/238U Lead-Uranium; Age, 207Pb/206Pb Lead-Lead; Age, 207Pb/235U Lead-Uranium; Age, error, relative; Age, mineral; Comment; Common 206Pb in total 206Pb; Correlation coefficient, isotope ratio error; Discordance; EBSD; Event label; Finland; Identification; impact cratering; Karnaite impact melt rock, Lappajarvi; Lappajarvi; Lead; Lead-206/Lead-204 ratio; Lead-206/Uranium-238, error, relative; Lead-206/Uranium-238 ratio; Lead-207/Lead-206, error, relative; Lead-207/Lead-206 ratio; Lead-207/Uranium-235, error, relative; Lead-207/Uranium-235 ratio; n5747; ROCK; Rock sample; Sample ID; Secondary ion mass spectrometry (SIMS); shock metamorphism; shock-recrystallised zircon; SIMS; Size; Texture; Thorium; Thorium/Uranium ratio; U-Pb; Uranium
    Type: Dataset
    Format: text/tab-separated-values, 814 data points
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  • 7
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    PANGAEA
    In:  Supplement to: Ern, Manfred; Trinh, Quang Thai; Preusse, Peter; Gille, John C; Mlynczak, Martin G; Russell III, James M; Riese, Martin (2018): GRACILE: a comprehensive climatology of atmospheric gravity wave parameters based on satellite limb soundings. Earth System Science Data, 10(2), 857-892, https://doi.org/10.5194/essd-10-857-2018
    Publication Date: 2023-01-13
    Description: Gravity waves are one of the main drivers of atmospheric dynamics. The spatial resolution of most global atmospheric models, however, is too coarse to properly resolve the small scales of gravity waves, which range from tens to a few thousand kilometers horizontally, and from below 1 km to tens of kilometers vertically. Gravity wave source processes involve even smaller scales. Therefore, general circulation models (GCMs) and chemistry climate models (CCMs) usually parametrize the effect of gravity waves on the global circulation. These parametrizations are very simplified. For this reason, comparisons with global observations of gravity waves are needed for an improvement of parametrizations and an alleviation of model biases. We present a gravity wave climatology based on atmospheric infrared limb emissions observed by satellite (GRACILE). GRACILE is a global data set of gravity wave distributions observed in the stratosphere and the mesosphere by the infrared limb sounding satellite instruments High Resolution Dynamics Limb Sounder (HIRDLS) and Sounding of the Atmosphere using Broadband Emission Radiometry (SABER). Typical distributions (zonal averages and global maps) of gravity wave vertical wavelengths and along-track horizontal wavenumbers are provided, as well as gravity wave temperature variances, potential energies and absolute momentum fluxes. This global data set captures the typical seasonal variations of these parameters, as well as their spatial variations. The GRACILE data set is suitable for scientific studies, and it can serve for comparison with other instruments (ground based, airborne, or other satellite instruments) and for comparison with gravity wave distributions, both resolved and parametrized, in GCMs and CCMs.
    Type: Dataset
    Format: application/x-netcdf, 44.3 MBytes
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  • 8
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    PANGAEA
    In:  Supplement to: Barboza, Francisco Rafael; Kotta, Jonne; Weinberger, Florian; Jormalainen, Veijo; Kraufvelin, Patrik; Molis, Markus; Schubert, Hendrik; Pavia, Henrik; Nylund, Göran M; Kautsky, Lena; Schagerström, Ellen; Rickert, Esther; Saha, Mahasweta; Fredriksen, Stein; Martin, Georg; Torn, Kaire; Ruuskanen, Ari T; Wahl, Martin (2019): Geographic variation in fitness‐related traits of the bladderwrack Fucus vesiculosus along the Baltic Sea‐North Sea salinity gradient. Ecology and Evolution, 9(16), 9225-9238, https://doi.org/10.1002/ece3.5470
    Publication Date: 2023-01-30
    Description: Data on morphological and biochemical traits of the bladderwrack Fucus vesiculosus were obtained from individuals simultaneously collected in September 2011 in 20 stations along the Baltic Sea and 4 stations in the North Sea. The individuals included in the analysis were collected at 0.5-1.0 m depth. Frond length, frond width, stipe width and number of fronds were directly determined in the field. All collected individuals were transported to the laboratory in cooler boxes at temperatures below 5 °C, then frozen at -20 °C within 12 h, and shipped to the GEOMAR-Helmholtz Centre for Ocean Research Kiel (Germany) on dry ice. Measurements of chlorophyll a and fucoxanthin in surface and tissue extracts, mannitol, phlorotannins and carbon:nitrogen ratio were performed in the laboratory (see further methodological details in the related article). The relative palatability of the algal material collected in all 24 stations was determined in palatability assays, using reconstituted algal pellets and the pan-Baltic grazer Idotea balthica. In addition to the trait information, environmental data on sea surface salinity, sea surface summer temperature, photosynthetically active radiation (PAR), wave exposure and total nitrogen have been obtained from the Swedish Meteorological and Hydrological Institute (SMHI) or local monitoring services.
    Keywords: environmental gradient; foundation species; geographic variation of traits
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 9
    Publication Date: 2023-01-30
    Keywords: Askoe_2011; Boenhamm_2011; Braennskaer_2011; Code; DkHo; EEr; EKo; EKü; environmental gradient; Eru_2011; Event label; Falshoeft_2011; FBr; FKo; FOu; foundation species; FPäi; FPar; Frond, length; Frond, width; geographic variation of traits; GFa; GHe; GSa; HAND; Helgoland_2011; Horsens_2011; Koiguste_2011; Kotka_2011; Kuedema_2011; Latitude of event; Longitude of event; Nitrogen; Number of fronds; NVe; Outoori_2011; Paeiuaekarit_2011; Paraistenportti_2011; Radiation, photosynthetically active; Salinity; Salzhaff_2011; Sample ID; Sampling by hand; SAs; SBo; Singoe_2011; Skagsudde_2011; Species; SSi; SSk; Station label; Stipe, width; Temperature, water; Verdens-Ende_2011; Wave exposure index
    Type: Dataset
    Format: text/tab-separated-values, 2210 data points
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  • 10
    Publication Date: 2023-01-30
    Keywords: Askoe_2011; Barsebaeck_2011; Boenhamm_2011; Braennskaer_2011; Carbon/Nitrogen ratio; Chlorophyll a; Code; DkHo; EEr; EKo; EKü; environmental gradient; Eru_2011; Event label; Falshoeft_2011; FBr; FKo; FOu; foundation species; FPäi; FPar; Fucoxanthin; geographic variation of traits; GFa; GHe; GrüI; GrüII; GSa; GSy; GWa; HAND; Helgoland_2011; Horsens_2011; Koiguste_2011; Kotka_2011; Kuedema_2011; Latitude of event; Longitude of event; Mannitol; Nitrogen; NVe; Outoori_2011; Paeiuaekarit_2011; Paraistenportti_2011; Phlorotannins; Radiation, photosynthetically active; Ruegen-Ost_2011; Ruegen-West_2011; Salinity; Salzhaff_2011; Sample ID; Sampling by hand; SAs; SBa; SBo; Singoe_2011; Skagsudde_2011; Species; SSi; SSk; Station label; STj; SVa; Sylt_2011; Temperature, water; Tjaernoe_2011; Varberg_2011; Verdens-Ende_2011; Warnemuende_2011; Wave exposure index
    Type: Dataset
    Format: text/tab-separated-values, 3583 data points
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