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Blind source separation for soil moisture data
2021Spatial Blind Source Separation (SBSS) is a recent extension of Independent Component Analysis (ICA) for spatial data. Standard ICA ignores the spatial dependency structure of spatial data, while SBSS uses this information. The goal of this thesis is to evaluate the SBSS method in a new field of application. In cooperation with the Institute of Geodesy
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Methods for Identifying Sources of Moisture in Walls
1991The first issue in investigating moisture problems is the source of the moisture. Sometimes, visual inspection can determine whether liquid water or vapor is involved, active mechanisms, and season when problem occurs. Frequently, however, the issue is not so clear, and diagnostic tools must be used to establish the source and transportation mechanisms.
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Unravelling the sources of moisture for precipitation in atmospheric rivers
Atmospheric rivers (ARs) are filaments of enhanced moisture in the atmosphere, which often produce intense or even extreme precipitation when the enormous amounts of water vapor in them are forced upwards. In this sense, one of their most studied and debated properties is the origin of the moisture they transport.Alfredo Crespo-Otero +2 more
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Unravelling moisture sources for precipitation in atmospheric rivers
Atmospheric rivers (ARs) are filaments of enhanced moisture in the atmosphere, typically located in subtropical and mid-latitudes oceanic regions. These structures are of extreme importance for the climate of the western coasts, as they provide a large fraction of the annual precipitation recorded in these areas.Alfredo Crespo-Otero +2 more
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