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  • 1
    Online Resource
    Online Resource
    Bonn : Universität Bonn, Institut für Geowissenschaften, Abteilung Meteorologie
    Keywords: Forschungsbericht ; Kumulus ; Muster
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (21 Seiten, 1,35 MB) , Illustrationen, Diagramme
    Language: German
    Note: Förderkennzeichen BMBF 01LK1507A-E , Verbundnummer 01169691 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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  • 2
    Online Resource
    Online Resource
    Erlangen : Lehrstuhl für Angewandte Geologie, GeoZentrum Nordbayern, Friedrich-Alexander-Universität Erlangen-Nürnberg
    Keywords: Forschungsbericht ; Carbon dioxide capture and storage ; Tertiäre Erdölförderung ; Isotopenchemie
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (37 Seiten, 6,12 MB) , Illustrationen, Diagramme
    Language: German
    Note: Förderkennzeichen BMBF 03G0801A , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden , Mit deutscher und englischer Zusammenfassung
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  • 3
    Publication Date: 2020-02-06
    Description: Trade-wind cumuli constitute the cloud type with the highest frequency of occurrence on Earth, and it has been shown that their sensitivity to changing environmental conditions will critically influence the magnitude and pace of future global warming. Research over the last decade has pointed out the importance of the interplay between clouds, convection and circulation in controling this sensitivity. Numerical models represent this interplay in diverse ways, which translates into different responses of trade-cumuli to climate perturbations. Climate models predict that the area covered by shallow cumuli at cloud base is very sensitive to changes in environmental conditions, while process models suggest the opposite. To understand and resolve this contradiction, we propose to organize a field campaign aimed at quantifying the physical properties of trade-cumuli (e.g., cloud fraction and water content) as a function of the large-scale environment. Beyond a better understanding of clouds-circulation coupling processes, the campaign will provide a reference data set that may be used as a benchmark for advancing the modelling and the satellite remote sensing of clouds and circulation. It will also be an opportunity for complementary investigations such as evaluating model convective parameterizations or studying the role of ocean mesoscale eddies in air–sea interactions and convective organization
    Type: Article , PeerReviewed
    Format: text
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  • 4
    Publication Date: 2016-11-04
    Description: Body plan development in multi-cellular organisms is largely determined by homeotic genes. Expression of homeotic genes, in turn, is partially regulated by insulator binding proteins (IBPs). While only a few e...
    Electronic ISSN: 1471-2164
    Topics: Biology
    Published by BioMed Central
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  • 5
    Publication Date: 2022-05-26
    Description: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Surveys in Geophysics 38 (2017): 1529–1568, doi:10.1007/s10712-017-9428-0.
    Description: Trade-wind cumuli constitute the cloud type with the highest frequency of occurrence on Earth, and it has been shown that their sensitivity to changing environmental conditions will critically influence the magnitude and pace of future global warming. Research over the last decade has pointed out the importance of the interplay between clouds, convection and circulation in controling this sensitivity. Numerical models represent this interplay in diverse ways, which translates into different responses of trade-cumuli to climate perturbations. Climate models predict that the area covered by shallow cumuli at cloud base is very sensitive to changes in environmental conditions, while process models suggest the opposite. To understand and resolve this contradiction, we propose to organize a field campaign aimed at quantifying the physical properties of trade-cumuli (e.g., cloud fraction and water content) as a function of the large-scale environment. Beyond a better understanding of clouds-circulation coupling processes, the campaign will provide a reference data set that may be used as a benchmark for advancing the modelling and the satellite remote sensing of clouds and circulation. It will also be an opportunity for complementary investigations such as evaluating model convective parameterizations or studying the role of ocean mesoscale eddies in air–sea interactions and convective organization.
    Description: The EUREC4A project is supported by the European Research Council (ERC), under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 694768), by the Max Planck Society and by DFG (Deutsche Forschungsgemeinschaft, German Research Foundation) Priority Program SPP 1294.
    Keywords: Trade-wind cumulus ; Shallow convection ; Cloud feedback ; Atmospheric circulation ; Field campaign
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 6
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    PANGAEA
    In:  Supplement to: Johnson, Gareth; Mayer, Bernhard; Shevalier, Maurice; Nightingale, Michael; Hutcheon, Ian (2011): Tracing the movement of CO2 injected into a mature oilfield using carbon isotope abundance ratios: The example of the Pembina Cardium CO2 Monitoring project. International Journal of Greenhouse Gas Control, 5(4), 933-941, https://doi.org/10.1016/j.ijggc.2011.02.003
    Publication Date: 2023-02-24
    Description: During CO2 storage operations in mature oilfields or saline aquifers it is desirable to trace the movement of injected CO2 for verification and safety purposes. We demonstrate the successful use of carbon isotope abundance ratios for tracing the movement of CO2 injected at the Cardium CO2 Storage Monitoring project in Alberta between 2005 and 2007. Injected CO2 had a d13C value of -4.6±1.1 per mil that was more than 10 per mil higher than the carbon isotope ratios of casing gas CO2 prior to CO2 injection with average d13C values ranging from -15.9 to -23.5 per mil. After commencement of CO2 injection, d13C values of casing gas CO2 increased in all observation wells towards those of the injected CO2 consistent with a two-source end-member mixing model. At four wells located in a NE-SW trend with respect to the injection wells, breakthrough of injected CO2 was registered chemically (〉50 mol % CO2) and isotopically 1-6 months after commencement of CO2 injection resulting in cumulative CO2 fluxes exceeding 100000 m**3 during the observation period. At four other wells, casing gas CO2 contents remained below 5 mol % resulting in low cumulative CO2 fluxes (〈2000 m**3) throughout the entire observation period, but carbon isotope ratios indicated contributions between 〈30 and 80% of injected CO2. Therefore, we conclude that monitoring the movement of CO2 in the injection reservoir with geochemical and isotopic techniques is an effective approach to determine plume expansion and to identify potential preferential flow paths provided that the isotopic composition of injected CO2 is constant and distinct from that of baseline CO2.
    Keywords: -; Carbon dioxide; Carbon dioxide, standard deviation; ECO2; Group; Number; Pembina area, Edmonton, Alberta, Canada; Sample code/label; Sampling Well; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; WELL; Well-group_1-2; δ13C, carbon dioxide, atmospheric; δ13C, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 88 data points
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  • 7
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    PANGAEA
    In:  Supplement to: Johnson, Gareth; Mayer, Bernhard (2011): Oxygen isotope exchange between H2O and CO2 at elevated CO2 pressures: Implications for monitoring of geological CO2 storage. Applied Geochemistry, 26(7), 1184-1191, https://doi.org/10.1016/j.apgeochem.2011.04.007
    Publication Date: 2023-02-24
    Description: Traditionally, the application of stable isotopes in Carbon Capture and Storage (CCS) projects has focused on d13C values of CO2 to trace the migration of injected CO2 in the subsurface. More recently the use of d18O values of both CO2 and reservoir fluids has been proposed as a method for quantifying in situ CO2 reservoir saturations due to O isotope exchange between CO2 and H2O and subsequent changes in d18OH2O values in the presence of high concentrations of CO2. To verify that O isotope exchange between CO2 and H2O reaches equilibrium within days, and that d18OH2O values indeed change predictably due to the presence of CO2, a laboratory study was conducted during which the isotope composition of H2O, CO2, and dissolved inorganic C (DIC) was determined at representative reservoir conditions (50°C and up to 19 MPa) and varying CO2 pressures. Conditions typical for the Pembina Cardium CO2 Monitoring Pilot in Alberta (Canada) were chosen for the experiments. Results obtained showed that d18O values of CO2 were on average 36.4±2.2 per mil (1 sigma, n=15) higher than those of water at all pressures up to and including reservoir pressure (19 MPa), in excellent agreement with the theoretically predicted isotope enrichment factor of 35.5 per mil for the experimental temperatures of 50°C. By using 18O enriched water for the experiments it was demonstrated that changes in the d18O values of water were predictably related to the fraction of O in the system sourced from CO2 in excellent agreement with theoretical predictions. Since the fraction of O sourced from CO2 is related to the total volumetric saturation of CO2 and water as a fraction of the total volume of the system, it is concluded that changes in d18O values of reservoir fluids can be used to calculate reservoir saturations of CO2 in CCS settings given that the d18O values of CO2 and water are sufficiently distinct.
    Keywords: Difference; ECO2; Experiment; Mass spectrometer Finnigan Delta-S; Pressure, stress; Sub-seabed CO2 Storage: Impact on Marine Ecosystems; Temperature, technical; δ13C, carbon dioxide, aquatic; δ18O, carbon dioxide; δ18O, water; δ Deuterium, water
    Type: Dataset
    Format: text/tab-separated-values, 175 data points
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