Item: HOW SNOWMICROPEN RECORDINGS ARE INTEGRATED INTO DAILY FORECASTING WORK BY THE SOFTWARE FRAMEWORK AWSOME
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Title: HOW SNOWMICROPEN RECORDINGS ARE INTEGRATED INTO DAILY FORECASTING WORK BY THE SOFTWARE FRAMEWORK AWSOME
Proceedings: International Snow Science Workshop 2024, Tromsø, Norway
Authors:
- Mag. Michael Reisecker [ Alpine Software Michael Reisecker ] [ Avalanche Warning Service Tyrol ]
- Dr. Christoph Mitterer [ Affiliations: Avalanche Warning Service Tyrol ]
Date: 2024-09-23
Abstract: During the assessment process of avalanche danger forecasters rely on enormous amounts of different data. Most of this data connects only indirectly to the factors defining avalanche danger and requires additional interpreation skills by the forecaster. In contrast, there are very direct bits of information that offer more direct links to snowpack stability, e. g. a snow pit observation including a stability test. Unfortunatly this kind of information is often spatially scarce, time consuming to collect, and subject to personal skills. In order to offer a more objective way of assessing snow stratigraphy and measuring mechanical properties of snow, the SLF introduced the SnowMicroPenetrometer (SMP), an electronical rammsonde measuring the penetration resistance of snow by vertically driving a cone into it. Its advantages lie in quick objective and high-resolution sampling of the snowpack. Its disadvantage when taken out of the software lab is that it measures micro-parameters that are quite far removed from what a practitioner would record in the field. The operational goal is to take the SMP out in a challenging environment, quickly record multiple observer-independent profiles, and feed them into a computer as they are to instantly and fully automatically produce snow stratigraphy and stability forecasts making SMP data accessible for daily forecasting procedures. To achieve this we have developed a new module in our general-purpose snow modeling toolchain called the Avalanche Warning Service Operational Meteo Environment (AWSOME).
Object ID: ISSW2024_P3.7.pdf
Language of Article: English
Presenter(s): Mag. Michael Reisecker
Keywords: avalanche forecasting, SnowMicroPenetrometer, SNOWPACK, model chains, AWSOME
Page Number(s): 503 - 509
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