Browsing Norwegian Geotechnical Institute (NGI) Digital Archive by Author "Ragulina, Galina"
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Estimating Avalanche Triggering Probability using meteorological and local terrain parameters through a fuzzy inference approach
Ragulina, Galina; Uzielli, Marco (NGI-rapport;20170131-12-TN, Research report, 2019-04-23)The aim of the present study is the quantitative estimation of snow avalanche triggering probability (ATP) for daily local forecasting purposes based on meteorological and local terrain factors. At present, ATP is indirectly ... -
Generalized extreme value shape parameter and its nature for extreme precipitation using long time series and the Bayesian approach
Ragulina, Galina; Reitan, Trond (Peer reviewed; Journal article, 2017)Assessing the probability of extreme precipitation events is consequential in civil planning. This requires an understanding of how return values change with return periods, which is essentially described by the generalized ... -
Generalized extreme value shape parameter and its nature for extreme precipitation using long time series and the Bayesian approach
Ragulina, Galina; Reitan, Trond (Peer reviewed; Journal article, 2017)Assessing the probability of extreme precipitation events is consequential in civil planning. This requires an understanding of how return values change with return periods, which is essentially described by the generalized ... -
Review of meteorological data from Fonnbu 2009–2016
Ragulina, Galina (NGI-rapport;20140053-05-TN, Research report, 2017-01-25)12 observed parameters are recalculated with a time step of 1 hour from the original raw data set of observed values with 10 minute time step. To form winter season data sets which would cover complete snow season, it was ... -
Weather stations in Norway suitable for SNOWPACK modelling in Norway in 2016
Ragulina, Galina (NGI-rapport;20140053-04-TN, Research report, 2017-01-23)A physical SNOWPACK model developed by Swiss Federal Institute for Snow and Avalanche Research, SLF, requires following meteorological observations as input data1 for the model simulations: - air temperature (TA) - ...