Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 4, issue 1/2
Articles | Volume 4, issue 1/2
https://doi.org/10.5194/ascmo-4-65-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-4-65-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 4, issue 1/2
14 Dec 2018
 | 14 Dec 2018

Hourly probabilistic snow forecasts over complex terrain: a hybrid ensemble postprocessing approach

Reto Stauffer, Georg J. Mayr, Jakob W. Messner, and Achim Zeileis

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Latest update: 14 Dec 2024
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Short summary
Snowfall forecasts are important for a range of economic sectors as well as for the safety of people and infrastructure, especially in mountainous regions. This work presents a novel statistical approach to provide accurate forecasts for fresh snow amounts and the probability of snowfall combining data from various sources. The results demonstrate that the new approach is able to provide reliable high-resolution hourly snowfall forecasts for the eastern European Alps up to 3 days ahead.
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