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    ItemOpen Access
    Grundlagenbericht Niederschlags-Simulator (NiedSim3)
    (Stuttgart : Eigenverlag des Instituts für Wasser- und Umweltsystemmodellierung der Universität Stuttgart, 2017) Müller, Thomas; Mosthaf, Tobias; Gunzenhauser, Sarah; Seidel, Jochen; Bárdossy, András
    Das Programmsystem NiedSim3 (Niederschlags-Simulation) ist ein stochastischer Generator, mit dem für einen beliebigen, frei wählbaren Punkt in einer Modellregion Niederschlagszeitreihen erzeugt werden können, deren statistische Eigenschaften denen des natürlichen Niederschlags an diesem Ort entsprechen.
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    ItemOpen Access
    Gravitational viscoelastodynamics for a hydrostatic planet
    (1993) Wolf, Detlef Karl-Heinz
    The response of planetary bodies to perturbations with periods of less than several days is conventionally studied assuming elastic constitutive behaviour. The defining feature of elastic solids is the proportionality between stress and strain. The phenomena governed by the associated field theory of elastodynamics can be classified into the propagation of seismic waves, free oscillations, and short-period body and load tides. For the latter two classes, it is necessary to account also for gravity and the presence of initial stress in planetary interiors. This is accomplished by the field theory of gravitational elastodynamics (GED).
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    ItemOpen Access
    Water level analysis in Tibet using CryoSat-2
    (2019) Yan, Lun
    While the water level monitoring inTibet suffers data gaps due to insufficient in situ gauge stations, the satellite altimetry serves as an efficient alternative. In this work, measurements from the CryoSat-2 mission are employed and analyzed to determine water level time series in various lakes throughout Tibetan region. The time series are calculated by reducing the geoid undulations from surface heights measured and provided in CryoSat-2level-2products. They are also subjected to a novel outlier detection scheme to identify and eliminate outliers. Combined with the local geography, the water level time series can deliver an overview of hydrological pattern throughout Tibet.