Matches in SemOpenAlex for { <https://semopenalex.org/work/W2147972083> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2147972083 endingPage "198" @default.
- W2147972083 startingPage "195" @default.
- W2147972083 abstract "Avalanche forecasting is by large data driven - and experience-based. Snow instability data, which are of crucial importance, are scarce and often not available in time, i.e. when the forecast is established. Besides signs of instability, such as whumpfs, that can easily be observed and trans- mitted by backcountry recreationists via smart phones, avalanche occurrences are generally reported inconsistently and too late to be considered for the forecast. However, information on avalanche activ- ity provides unambiguous evidence of unstable snow conditions. In addition, these data are essential for developing statistical relations between meteorological data and avalanche formation. Whereas meteorological data are readily available with high temporal resolution - measured and modelled - the corresponding avalanche occurrence data are lacking. Based on two winters of seismic data from the Steintalli field site above Davos (Switzerland), we studied whether seismic monitoring provides precur- sory data for avalanche forecasting. Before periods of high wet-snow avalanche activity the waiting time between avalanches clearly decreased towards peak avalanche activity, suggesting that an early warning based on accurate and near real-time avalanche activity is possible. However, the same fea- ture was not observed for periods when dry snow avalanches occurred - though they were generally less frequent. Of course, prerequisites for applying the waiting time approach as an operational early warning tool are near real-time data transmission and automatic signal detection." @default.
- W2147972083 created "2016-06-24" @default.
- W2147972083 creator A5066218930 @default.
- W2147972083 creator A5073696695 @default.
- W2147972083 date "2013-10-07" @default.
- W2147972083 modified "2023-09-24" @default.
- W2147972083 title "Can Near Real-Time Avalanche Occurrence Data Improve Avalanche Forecasting?" @default.
- W2147972083 cites W133622399 @default.
- W2147972083 cites W1569568770 @default.
- W2147972083 cites W1655857983 @default.
- W2147972083 cites W1978601068 @default.
- W2147972083 cites W1982161678 @default.
- W2147972083 cites W1982554301 @default.
- W2147972083 cites W1992538115 @default.
- W2147972083 cites W2016725393 @default.
- W2147972083 cites W2027842023 @default.
- W2147972083 cites W2055168327 @default.
- W2147972083 cites W2058889908 @default.
- W2147972083 cites W2102199868 @default.
- W2147972083 cites W2107948127 @default.
- W2147972083 cites W2135579239 @default.
- W2147972083 cites W2152835568 @default.
- W2147972083 cites W2307424911 @default.
- W2147972083 cites W3010932768 @default.
- W2147972083 cites W3105497850 @default.
- W2147972083 cites W8129762 @default.
- W2147972083 cites W2464212874 @default.
- W2147972083 hasPublicationYear "2013" @default.
- W2147972083 type Work @default.
- W2147972083 sameAs 2147972083 @default.
- W2147972083 citedByCount "3" @default.
- W2147972083 countsByYear W21479720832014 @default.
- W2147972083 countsByYear W21479720832016 @default.
- W2147972083 crossrefType "journal-article" @default.
- W2147972083 hasAuthorship W2147972083A5066218930 @default.
- W2147972083 hasAuthorship W2147972083A5073696695 @default.
- W2147972083 hasConcept C121332964 @default.
- W2147972083 hasConcept C153294291 @default.
- W2147972083 hasConcept C197046000 @default.
- W2147972083 hasConcept C205649164 @default.
- W2147972083 hasConcept C207821765 @default.
- W2147972083 hasConcept C29825287 @default.
- W2147972083 hasConcept C39432304 @default.
- W2147972083 hasConcept C41008148 @default.
- W2147972083 hasConcept C57879066 @default.
- W2147972083 hasConcept C76155785 @default.
- W2147972083 hasConceptScore W2147972083C121332964 @default.
- W2147972083 hasConceptScore W2147972083C153294291 @default.
- W2147972083 hasConceptScore W2147972083C197046000 @default.
- W2147972083 hasConceptScore W2147972083C205649164 @default.
- W2147972083 hasConceptScore W2147972083C207821765 @default.
- W2147972083 hasConceptScore W2147972083C29825287 @default.
- W2147972083 hasConceptScore W2147972083C39432304 @default.
- W2147972083 hasConceptScore W2147972083C41008148 @default.
- W2147972083 hasConceptScore W2147972083C57879066 @default.
- W2147972083 hasConceptScore W2147972083C76155785 @default.
- W2147972083 hasLocation W21479720831 @default.
- W2147972083 hasOpenAccess W2147972083 @default.
- W2147972083 hasPrimaryLocation W21479720831 @default.
- W2147972083 hasRelatedWork W1496960323 @default.
- W2147972083 hasRelatedWork W2004850991 @default.
- W2147972083 hasRelatedWork W2016435261 @default.
- W2147972083 hasRelatedWork W2016725393 @default.
- W2147972083 hasRelatedWork W2055303666 @default.
- W2147972083 hasRelatedWork W2064109318 @default.
- W2147972083 hasRelatedWork W2102199868 @default.
- W2147972083 hasRelatedWork W2104103191 @default.
- W2147972083 hasRelatedWork W2107948127 @default.
- W2147972083 hasRelatedWork W2108792746 @default.
- W2147972083 hasRelatedWork W2127215029 @default.
- W2147972083 hasRelatedWork W2147003987 @default.
- W2147972083 hasRelatedWork W2155558697 @default.
- W2147972083 hasRelatedWork W2170640825 @default.
- W2147972083 hasRelatedWork W2172221812 @default.
- W2147972083 hasRelatedWork W3007195230 @default.
- W2147972083 hasRelatedWork W3093536389 @default.
- W2147972083 hasRelatedWork W3116856405 @default.
- W2147972083 hasRelatedWork W6970244 @default.
- W2147972083 hasRelatedWork W1643883349 @default.
- W2147972083 isParatext "false" @default.
- W2147972083 isRetracted "false" @default.
- W2147972083 magId "2147972083" @default.
- W2147972083 workType "article" @default.