There are distinctive methodological and conceptual challenges in rare and severe event
(RSE) forecast-verification, that is, in the assessment of the quality of forecasts involving …

Avalanche forecasting is carried out using physical as well as statistical models. All these
models have certain limitations associated with their mathematical formulation that enable …

The climate impact studies in hydrology often rely on climate change information at fine
spatial resolution. Because general circulation models (GCMs) operate on a coarse scale …

The assessment and forecast of avalanche danger are very important means of preventing
avalanche fatalities, especially in recreational areas. The use of artificial intelligence …

This paper describes a nearest neighbours model used operationally for avalanche
forecasting in Scotland. Results are presented as contingency tables and in terms of a range …

This paper presents two avalanche forecasting applications NXD2000 and NXD-REG which
were developed at the Swiss Federal Institute for Snow and Avalanche Re-search (SLF) …

General purpose data parallel computing with graphical processing unit (GPU) is much
structured today with NVIDIA® CUDA and other parallel programming frameworks …

Many ski areas, backcountry avalanche centers, highway departments, and helicopter ski
operations record and archive daily weather and avalanche data. This paper presents a …

The integration of a nearest-neighbours method based avalanche forecast model with a
mesoscale weather forecast model (MM5) has been attempted for avalanche forecasting in …

Natural disasters like avalanches and earthquakes are examples of rare events. Predicting
such events using supervised classification machine learning models suffers from the class …