Nearest neighbour models for local and regional avalanche forecasting

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). Even both are based on the nearest neighbour method they are targeted to different scales. NXD2000 is used to forecast avalan...

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Main Authors: M. Gassner, B. Brabec
Format: Article
Language:English
Published: Copernicus Publications 2002-01-01
Series:Natural Hazards and Earth System Sciences
Online Access:http://www.nat-hazards-earth-syst-sci.net/2/247/2002/nhess-2-247-2002.pdf
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spelling doaj-b5ac96ffae8a405ca09dd9d655d2b33e2020-11-25T01:59:27ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812002-01-0123/4247253Nearest neighbour models for local and regional avalanche forecastingM. GassnerB. BrabecThis 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). Even both are based on the nearest neighbour method they are targeted to different scales. NXD2000 is used to forecast avalanches on a local scale. It is operated by avalanche forecasters responsible for snow safety at snow sport areas, villages or cross country roads. The area covered ranges from 10 km<sup>2</sup> up to 100 km<sup>2</sup> depending on the climatological homogeneity. It provides the forecaster with ten most similar days to a given situation. The observed avalanches of these days are an indication of the actual avalanche danger. NXD-REG is used operationally by the Swiss avalanche warning service for regional avalanche forecasting. The Nearest Neighbour approach is applied to the data sets of 60 observer stations. The results of each station are then compiled into a map of current and future avalanche hazard. Evaluation of the model by cross-validation has shown that the model can reproduce the official SLF avalanche forecasts in about 52% of the days.http://www.nat-hazards-earth-syst-sci.net/2/247/2002/nhess-2-247-2002.pdf
collection DOAJ
language English
format Article
sources DOAJ
author M. Gassner
B. Brabec
spellingShingle M. Gassner
B. Brabec
Nearest neighbour models for local and regional avalanche forecasting
Natural Hazards and Earth System Sciences
author_facet M. Gassner
B. Brabec
author_sort M. Gassner
title Nearest neighbour models for local and regional avalanche forecasting
title_short Nearest neighbour models for local and regional avalanche forecasting
title_full Nearest neighbour models for local and regional avalanche forecasting
title_fullStr Nearest neighbour models for local and regional avalanche forecasting
title_full_unstemmed Nearest neighbour models for local and regional avalanche forecasting
title_sort nearest neighbour models for local and regional avalanche forecasting
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2002-01-01
description 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). Even both are based on the nearest neighbour method they are targeted to different scales. NXD2000 is used to forecast avalanches on a local scale. It is operated by avalanche forecasters responsible for snow safety at snow sport areas, villages or cross country roads. The area covered ranges from 10 km<sup>2</sup> up to 100 km<sup>2</sup> depending on the climatological homogeneity. It provides the forecaster with ten most similar days to a given situation. The observed avalanches of these days are an indication of the actual avalanche danger. NXD-REG is used operationally by the Swiss avalanche warning service for regional avalanche forecasting. The Nearest Neighbour approach is applied to the data sets of 60 observer stations. The results of each station are then compiled into a map of current and future avalanche hazard. Evaluation of the model by cross-validation has shown that the model can reproduce the official SLF avalanche forecasts in about 52% of the days.
url http://www.nat-hazards-earth-syst-sci.net/2/247/2002/nhess-2-247-2002.pdf
work_keys_str_mv AT mgassner nearestneighbourmodelsforlocalandregionalavalancheforecasting
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