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  • 2020-2024  (3)
  • 1970-1974  (4)
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  • 1
    Electronic Resource
    Electronic Resource
    Palo Alto, Calif. : Annual Reviews
    Annual Review of Plant Physiology 21 (1970), S. 1-11 
    ISSN: 0066-4294
    Source: Annual Reviews Electronic Back Volume Collection 1932-2001ff
    Topics: Biology
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 237 (1972), S. 169-170 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Seeds of pigweed (Amaranthus albus L.) and lettuce (Lactuca sativa L. cultivar Grand Rapids) were selected from about fifty species, many of which responded similarly to the several compounds. Duplicate lots of 100 seeds in replicated experiments were placed in covered Petri dishes on filter papers ...
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 1970-01-01
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 4
    Publication Date: 1972-05-01
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 5
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-07-19
    Description: The porosity of sea ice is a crucial property for understanding processes and feedback mechanisms of the polar-climate system, as it strongly affects the physical, ecological, and biogeochemical properties of sea ice. Sea ice porosity is also closely related to surface flooding and the solid fraction of platelet ice in Antarctica. A direct method for measuring sea ice porosity is electromagnetic (EM) induction sounding, which can be applied on the ground or from airborne platforms. We present advancements in data collection, calibration, and inversion procedures. In this study, we modified the Phyton EMagPy API for fast and adaptable inversion of sea ice surveys and use inverted EM data to study the porosity of sea ice in the Arctic and Antarctic. Over Arctic summer sea, we retrieve the macro-scale porosity of rotten ice and the salinity and depth evolution of melt ponds. The salinity and porosity evolution could be reproduced with varying success, but the addition of several layers in the inversion improved the thickness information compared to a single-layer subsurface model, affecting ice mass balance. For high-resolution EM data over Antarctic fast ice we retrieve the thickness and solid fraction of a variable sub-ice platelet layer below the solid sea ice. The inverted thicknesses of sea ice and the platelet layer as well as their conductivities are in good agreement with independent, coincident in-situ drill hole and CTD measurements.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 6
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-29
    Description: The SIN’XS project is a three-year activity (May 2022 – May 2025) funded by ESA in the frame of the Polar Science Cluster. In light of rapid changes of the Arctic and Antarctic sea ice cover, continued and improved observations, understanding, and predictions of its thickness are particularly important for a range of fields from climate studies to offshore operations in ice. Systematic and accurate ice thickness observations are now available from several satellite missions. However, they differ in used processing algorithms and assumptions, temporal and spatial coverage and resolution, and applicability to stakeholder needs like modelling and assimilation, numerical weather prediction, and ship routing. These differences between products have so far complicated the consistent use of the various data products and there is little consensus about Arctic and Antarctic Sea ice volume variability and change. The Sea Ice-thickness product iNter-comparison eXerciSe (SIN’XS) will identify some of these gaps by carrying out in-depth intercomparisons of a wide range of satellite ice thickness products from altimetry and other methods, in close collaboration with an international community of scientific and operational sea ice experts, and in partnership with the WMO Global Cryosphere Watch (GCW). It will develop joint protocols for the intercomparison of ice thickness products and their validation, based on established approaches from the QA4EO project and by further developing a framework for Fiducial Reference Measurements (FRMs). SIN’XS will develop an online system to engage the community with data submission and to support scientific analysis of the data sets and intercomparisons.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 7
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-09-29
    Description: Leads are not permanently open, but are partially frozen and covered by a thin layer of ice up to about 25 cm thick. This thin ice layer is a hotspot for ocean ventilation as well as for the exchange of heat and moisture between the ocean and the atmosphere. Usually, satellite altimetry is used to determine sea level and its changes. In order to monitor the sea level in the polar oceans, methods have been published in recent years that can detect leads by analysing the shape and backscatter properties of altimeter radar echoes (i.e. waveforms). Here we present an extension of an unsupervised waveform classification of Cryosat-2 SAR observations to identify thin ice surfaces and delineate them from ice-free areas as well as from thicker ice. The unsupervised classification approach identifies similar patterns among a subset of randomly collected waveforms and groups them into a specific number of classes without the use of training data. The classification results are visually compared with thin ice thickness estimates from MODIS-observed ice-surface temperatures and Sentinel-1A/B SAR imagery for co-located datasets. In addition, the waveform derived shape and backscatter parameters are analysed with respect to changing thin ice thickness, revealing strong linear dependencies. The analyses can be used to improve altimeter range estimation and thus to allow for a more reliable determination of the sea surface height in the ice-covered oceans as well as a deeper understanding of the Arctic ice cover.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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