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Thanh Thi Luong, Ivan Vorobevskii, Judith Pöschmann, Rico Kronenberg, Daniel Gliksman and Christian Bernhofer
Quality of water balance estimations are strongly dependent on the precipitation input. The key limitation here is typically a lack of spatial representation in precipitation data. Quantitative precipitation estimation (QPE) using radar is recognized as ...
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Thanh Thi Luong, Judith Pöschmann, Ivan Vorobevskii, Stefan Wiemann, Rico Kronenberg and Christian Bernhofer
Highly-resolved data on water balance components (such as runoff or storage) are crucial to improve water management, for example, in drought or flood situations. As regional observations of these components cannot be acquired adequately, a feasible solu...
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Ivan Vorobevskii, Firas Al Janabi, Fabian Schneebeck, Jose Bellera and Peter Krebs
The lack and inefficiency of urban drainage systems, as well as extreme precipitation, can lead to system overloading and, therefore, an urban pluvial flood. The study brings insights into this phenomenon from the perspective of the statistical relations...
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Ivan Vorobevskii, Rico Kronenberg and Christian Bernhofer
The number of global open-source hydrometeorological datasets and models is large and growing. However, with a constantly growing demand for services and tools from stakeholders, not only in the water sector, we still lack simple solutions, which are eas...
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