F
Franziska Koch
Researcher at University of Natural Resources and Life Sciences, Vienna
Publications - 23
Citations - 316
Franziska Koch is an academic researcher from University of Natural Resources and Life Sciences, Vienna. The author has contributed to research in topics: Snow & Snowpack. The author has an hindex of 8, co-authored 21 publications receiving 244 citations. Previous affiliations of Franziska Koch include Ludwig Maximilian University of Munich.
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Journal ArticleDOI
How Will Hydroelectric Power Generation Develop under Climate Change Scenarios? A Case Study in the Upper Danube Basin
TL;DR: In this article, the development of hydroelectric power generation in the Upper Danube basin was modelled for two future decades, namely 2021-2030 and 2051-2060, using a special hydropower module coupled with the physically-based hydrological model PROMET.
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Measuring snow liquid water content with low-cost GPS receivers.
TL;DR: A new approach based on the attenuation of microwave radiation in the L-band emitted by the satellites of the Global Positioning System (GPS) has the potential to be implemented in distributed sensor networks for avalanche prediction or basin-wide melt onset measurements.
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A novel sensor combination (upGPR‐GPS) to continuously and nondestructively derive snow cover properties
Lino Schmid,Franziska Koch,Achim Heilig,Monika Prasch,Olaf Eisen,Olaf Eisen,Wolfram Mauser,Jürg Schweizer +7 more
TL;DR: In this article, an upward looking ground-penetrating radar (upGPR) and a low-cost GPS system below the snow cover were used to monitor the evolution of the snowpack during two winter seasons.
Journal ArticleDOI
Snow Water Equivalent of Dry Snow Derived From GNSS Carrier Phases
Patrick Henkel,Franziska Koch,Florian Appel,Heike Bach,Monika Prasch,Lino Schmid,Jürg Schweizer,Wolfram Mauser +7 more
TL;DR: The SWE derived solely by the GNSS shows very high correlation with conventionally measured snow pillow and manual snow pit data and can be applied to dense low-cost GNSS receiver networks to improve the spatial and temporal information on snow.
Journal ArticleDOI
Retrieval of Snow Water Equivalent, Liquid Water Content, and Snow Height of Dry and Wet Snow by Combining GPS Signal Attenuation and Time Delay
Franziska Koch,Franziska Koch,Patrick Henkel,Florian Appel,Lino Schmid,Heike Bach,Markus Lamm,Monika Prasch,Jürg Schweizer,Wolfram Mauser +9 more
TL;DR: In this paper, a non-destructive approach based on Global Positioning System (GPS) signals was developed to derive SWE, snow height (HS), and snow liquid water content (LWC) simultaneously using one sensor setup only.