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  • 1
    Online Resource
    Online Resource
    Potsdam : Deutsches GeoForschungsZentrum GFZ, Klimadynamik und Landschaftsentwicklung
    Keywords: Forschungsbericht ; Pleistozän ; Paläoklima ; Modell ; Simulation
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (91 Seiten, 2,6 MB) , Diagramme
    Language: German
    Note: Förderkennzeichen BMBF 01LP1510A-E , Verbundnummer 01161829 , Koordinator ist laut Berichtsblatt Autor , Weitere Autoren dem Berichtsblatt entnommen , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Sprache der Zusammenfassung: Deutsch, Englisch
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  • 2
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    AGU (American Geophysical Union) | Wiley
    In:  Geophysical Research Letters, 45 (20). 11,154-11,163.
    Publication Date: 2021-02-08
    Description: Reading the sediment record in terms of past climates is challenging since linking climate change to the associated responses of sedimentary systems is not always straightforward. Here we analyze the erosional response of landscapes on the Tibetan Plateau to interglacial climate forcing. Using the theory of dynamical systems on Holocene time series of geochemical proxies, we derive a sedimentary response model that accurately simulates observed proxy variation in three lake records. The model suggests that millennial variations in sediment composition reflect a self‐organization of landscapes in response to abrupt climate change between 11.6 and 11.9 ka BP. The self‐organization is characterized by oscillations in sediment supply emerging from a feedback between physical and chemical erosion processes, with estimated response times between 3,000 to 18,000 years depending on catchment topography. The implications of our findings emphasize the need for landscape response models to decipher the paleoclimatic code in continental sediment records.
    Type: Article , PeerReviewed
    Format: text
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  • 3
    Publication Date: 2020-05-13
    Description: The data collection presented here is the data inventory of the VARved sediments DAtabase (VARDA) in version 1.1. VARDA is freely accessible and was created to assess outputs from climate models with high-resolution terrestrial palaeoclimatic proxies. All data were collected as raw data from freely available online sources, either from online data repositories (Pangaea, NOAA, and Neotoma) or data archives within the supplementary materials section of online publications. The current data collection consists of meta information and datasets from 95 lake archives. The data is stored in JSON and CSV format. All datasets are stored as individual files (JSON and CSV). Each dataset consists of samples for either i) chronologies; ii) radiocarbon data; iii) tephra layer; or iv) varve thickness data. Meta-information for each dataset is summarized in one csv and seven JSON files. Additional paleoclimate proxy data will be provided in forthcoming updates of VARDA. The data collection of VARDA Version 1.1 is provided as an archive (.tar.gz) with the following files/folders. Overview lists with categories, cores, countries, datasets, lakes and publications included in VARDA. Each item in the lists is cross-referenced with the other files via its $ref property which includes the corresponding list index or the dataset's UUID (from the VARDA database). The data points themselves are provided in the "records" folder and named with each dataset's UUID respectively. For more information on the data structure please read the "index.html" file included in the archive and available on the DOI landing page.
    Type: Other , NonPeerReviewed
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  • 4
    Publication Date: 2021-01-08
    Description: Stable carbon isotopes of sediment organic matter (δ13COM) are widely applied in paleoenvironmental studies. Interpretations of δ13COM, however, remain challenging and factors that influence δ13COM may not apply across all lakes. Common explanations for stratigraphic shifts in δ13COM include changes in lake productivity or changes in inputs of allochthonous OM. We investigated the influence of different oxygen conditions (oxic versus anoxic) on the δ13COM values in the sediments of Lake Tiefer See. We analysed (1) a long sediment core from the deepest part of the lake, (2) two short, sediment–water interface cores from shallower water depths, and (3) OM in the water column, i.e. from sediment traps. Fresh OM throughout the entire water column showed a relatively constant δ13COM value of approximately − 30.5‰. Similar values, about − 31‰, were obtained for well-varved sediments in both the long and short, sediment–water interface cores. In contrast, δ13COM values from non-varved sediments in all cores were significantly less negative (− 29‰). The δ13COM values in the sediment–water interface cores from different water depths differ for sediments of the same age, if oxygen conditions at the time of deposition were different at these sites, as suggested by the state of varve preservation. Sediments deposited from AD 1924 to 1980 at 62 m water depth are varved and exhibit δ13COM values around − 31‰, whereas sediments of the same age in the core from 35 m water depth are not varved and show less negative δ13COM values of about − 29‰. The relation between varve occurrence and δ13COM values suggests that δ13COM is associated with oxygen conditions because varve preservation depends on hypolimnetic anoxia. A mechanism that likely influences δ13COM is selective degradation of OM under oxic conditions, such that organic components with more negative δ13COM are preferably decomposed, leading to less negative δ13COM values in the remaining, undegraded OM pool. Greater decomposition of OM in non-varved sediments is supported by lower TOC concentrations in these deposits (~ 5%) compared to well-varved sediments (~ 15%). Even in lakes that display small variations in productivity and terrestrial OM input through time, large spatial and temporal differences in hypolimnetic oxygen concentrations may be an important factor controlling sediment δ13COM.
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2023-01-04
    Description: Varved lake sediments provide long climatic records with high temporal resolution and low associated age uncertainty. Robust and detailed comparison of well-dated and annually laminated sediment records is crucial for reconstructing abrupt and regionally time-transgressive changes as well as validation of spatial and temporal trajectories of past climatic changes. The VARved sediments DAtabase (VARDA) presented here is the first data compilation for varve chronologies and associated palaeoclimatic proxy records. The current version 1.0 allows detailed comparison of published varve records from 95 lakes. VARDA is freely accessible and was created to assess outputs from climate models with high-resolution terrestrial palaeoclimatic proxies. VARDA additionally provides a technical environment that enables to explore the database of varved lake sediments using a connected data-model and can generate a state-of-the-art graphic representation of multi-site comparison. This allows to reassess existing chronologies and tephra events to synchronize and compare even distant varved lake records. Furthermore, the present version of VARDA permits to explore varve thickness data. In this paper, we report in detail on the data mining and compilation strategies for the identification of varved lakes and assimilation of high-resolution chronologies as well as the technical infrastructure of the database. Additional paleoclimate proxy data will be provided in forthcoming updates. The VARDA graph-database and user interface can be accessed online at https://varve.gfz-potsdam.de, all datasets of version 1.0 are available at http://doi.org/10.5880/GFZ.4.3.2019.003 (Ramisch et al., 2019).
    Type: Article , PeerReviewed
    Format: text
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  • 6
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    PANGAEA
    In:  Supplement to: Ramisch, Arne; Lockot, Gregori; Haberzettl, Torsten; Hartmann, Kai; Kuhn, Gerhard; Lehmkuhl, Frank; Schimpf, Stefan; Schulte, Philipp; Stauch, Georg; Wang, Rong; Wünnemann, Bernd; Yan, Dada; Zhang, Yongzhan; Diekmann, Bernhard (2016): A persistent northern boundary of Indian Summer Monsoon precipitation over Central Asia during the Holocene. Scientific Reports, 6, 25791, https://doi.org/10.1038/srep25791
    Publication Date: 2023-03-13
    Description: Extra-tropical circulation systems impede poleward moisture advection by the Indian Summer Monsoon. In this context, the Himalayan range is believed to insulate the south Asian circulation from extra-tropical influences and to delineate the northern extent of the Indian Summer Monsoon in central Asia. Paleoclimatic evidence, however, suggests increased moisture availability in the Early Holocene north of the Himalayan range which is attributed to an intensification of the Indian Summer Monsoon. Nevertheless, mechanisms leading to a surpassing of the Himalayan range and the northern maximum extent of summer monsoonal influence remain unknown. Here we show that the Kunlun barrier on the northern Tibetan Plateau [~36°N] delimits Indian Summer Monsoon precipitation during the Holocene. The presence of the barrier relocates the insulation effect 1,000 km further north, allowing a continental low intensity branch of the Indian Summer Monsoon which is persistent throughout the Holocene. Precipitation intensities at its northern extent seem to be driven by differentiated solar heating of the Northern Hemisphere indicating dependency on energy-gradients rather than absolute radiation intensities. The identified spatial constraints of monsoonal precipitation will facilitate the prediction of future monsoonal precipitation patterns in Central Asia under varying climatic conditions.
    Keywords: AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: application/zip, 17 datasets
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  • 7
    Publication Date: 2023-03-13
    Keywords: AWI_PerDyn; AWI Arctic Land Expedition; Calculated; China2011,China2012/1,China2012/2,China2012/3; Cluster membership; CN-Land_2012; Date/Time of event; DEPTH, sediment/rock; Event label; HAND; HH-11154; HH-11163; HH-11192; HH-11199; HH-11211; HH-11278; HH-11285; HH-11286; HH-11287; HH-11316; HH-2012-08-20-001; HH-2012-08-20-003; HH-2012-08-20-004; HH-2012-08-20-005; HH-2012-08-20-006; HH-2012-08-20-007; HH-2012-08-20-008; HH-2012-08-20-010; HH-2012-08-20-011; HH-2012-08-20-012; HH-2012-08-20-013; HH-2012-08-20-014; HH-2012-08-20-016; HH-2012-08-20-017a; HH-2012-08-20-017b; HH-2012-08-20-018; HH-2012-08-20-019; HH-2012-08-20-020; HH-2012-08-20-021; HH-2012-08-20-022; HH-2012-08-20-023a; HH-2012-08-20-023b; HH-2012-08-20-024; HH-2012-08-20-025; HH-2012-08-20-029; HH-2012-08-21-001; HH-2012-08-21-002; HH-2012-08-21-004; HH-2012-08-21-006; HH-2012-08-21-007; HH-2012-08-21-008; HH-2012-08-21-009; HH-2012-08-23-001; HH-2012-08-23-004; HH-2012-08-23-006; HH-2012-08-23-007; HH-2012-08-23-008; HH-2012-08-23-009b; HH-2012-08-23-010; HH-2012-08-23-011; HH-2012-08-23-012; HH-9739; HH-9912; HH-9914; HH-9918; HH-9919; HH-9951; HH-9952; Lake Heihai, Qinghai, China; Latitude of event; Longitude of event; Permafrost Research (Periglacial Dynamics) @ AWI; Sampling by hand
    Type: Dataset
    Format: text/tab-separated-values, 232 data points
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  • 8
    Publication Date: 2023-03-16
    Keywords: AGE; AWI_Envi; AWI_PerDyn; AWI Arctic Land Expedition; China2011,China2012/1,China2012/2,China2012/3; CN-Land_2012; COMPCORE; Composite Core; Heihai_sediment_core; Lake Heihai, Qinghai, China; ln-Titanium/Strontium ratio; Permafrost Research (Periglacial Dynamics) @ AWI; Polar Terrestrial Environmental Systems @ AWI; X-ray fluorescence core scanner (XRF), AWI
    Type: Dataset
    Format: text/tab-separated-values, 2238 data points
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  • 9
    Publication Date: 2023-03-13
    Keywords: AGE; AWI_PerDyn; AWI Arctic Land Expedition; Calculated; China2011,China2012/1,China2012/2,China2012/3; Cluster membership; CN-Land_2012; COMPCORE; Composite Core; Heihai_sediment_core; Lake Heihai, Qinghai, China; Permafrost Research (Periglacial Dynamics) @ AWI
    Type: Dataset
    Format: text/tab-separated-values, 94 data points
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  • 10
    Publication Date: 2023-03-13
    Keywords: AWI_PerDyn; AWI Arctic Land Expedition; Calculated; China2011,China2012/1,China2012/2,China2012/3; Chlorite; Chlorite (7Å + 3.54Å)/4.72Å; CN-Land_2012; Date/Time of event; DEPTH, sediment/rock; Dolomite; Event label; HAND; HH-11154; HH-11163; HH-11192; HH-11199; HH-11211; HH-11278; HH-11285; HH-11286; HH-11287; HH-11316; HH-2012-08-20-001; HH-2012-08-20-003; HH-2012-08-20-004; HH-2012-08-20-005; HH-2012-08-20-006; HH-2012-08-20-007; HH-2012-08-20-008; HH-2012-08-20-010; HH-2012-08-20-011; HH-2012-08-20-012; HH-2012-08-20-013; HH-2012-08-20-014; HH-2012-08-20-016; HH-2012-08-20-017a; HH-2012-08-20-017b; HH-2012-08-20-018; HH-2012-08-20-019; HH-2012-08-20-020; HH-2012-08-20-021; HH-2012-08-20-022; HH-2012-08-20-023a; HH-2012-08-20-023b; HH-2012-08-20-024; HH-2012-08-20-025; HH-2012-08-20-029; HH-2012-08-21-001; HH-2012-08-21-002; HH-2012-08-21-004; HH-2012-08-21-006; HH-2012-08-21-007; HH-2012-08-21-008; HH-2012-08-21-009; HH-2012-08-23-001; HH-2012-08-23-004; HH-2012-08-23-006; HH-2012-08-23-007; HH-2012-08-23-008; HH-2012-08-23-009b; HH-2012-08-23-010; HH-2012-08-23-011; HH-2012-08-23-012; HH-9739; HH-9912; HH-9914; HH-9918; HH-9919; HH-9951; HH-9952; Hornblende; Kalifeldspar; Kaolinite; Lake Heihai, Qinghai, China; Latitude of event; Longitude of event; Mica; Mica 5Å/10Å; Permafrost Research (Periglacial Dynamics) @ AWI; Plagioclase; Quartz; Sampling by hand; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 580 data points
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