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  • A non-stationary index-flood model was used to analyse the 1-day summer and 5-day winter precipitation maxima in the Rhine basin in an ensemble of 15 transient regional climate model (RCM) simulations. It is assumed that the seasonal precipitation maxima follow a generalized extreme value (GEV) distribution with time varying parameters. The index-flood assumption implies that the dispersion coefficient (the ratio of the scale and the location parameters) and the shape parameter are constant over predefined regions, while the location parameter varies within these regions. A comparison with the estimates from gridded observations shows that these GEV parameters are too large in the summer season, while there is a large overestimation of the location parameter and underestimation of the dispersion coefficient in winter. However, a large part of the biases in the summer season might be due to the low number of stations used for gridding the observations.
  • A non-stationary index-flood model was used to analyse the 1-day summer and 5-day winter precipitation maxima in the Rhine basin in an ensemble of 15 transient regional climate model (RCM) simulations. It is assumed that the seasonal precipitation maxima follow a generalized extreme value (GEV) distribution with time varying parameters. The index-flood assumption implies that the dispersion coefficient (the ratio of the scale and the location parameters) and the shape parameter are constant over predefined regions, while the location parameter varies within these regions. A comparison with the estimates from gridded observations shows that these GEV parameters are too large in the summer season, while there is a large overestimation of the location parameter and underestimation of the dispersion coefficient in winter. However, a large part of the biases in the summer season might be due to the low number of stations used for gridding the observations. (en)
Title
  • Analysis of precipitation extremes in an ensemble of transient regional climate model simulations for the Rhine basin
  • Analysis of precipitation extremes in an ensemble of transient regional climate model simulations for the Rhine basin (en)
skos:prefLabel
  • Analysis of precipitation extremes in an ensemble of transient regional climate model simulations for the Rhine basin
  • Analysis of precipitation extremes in an ensemble of transient regional climate model simulations for the Rhine basin (en)
skos:notation
  • RIV/60460709:41330/11:19383!RIV12-MSM-41330___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 5-6
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 185730
http://linked.open...ai/riv/idVysledku
  • RIV/60460709:41330/11:19383
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Non-stationary index-flood model, GEV distribution, Precipitation extremes, Regional climate change, Rhine basin (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [D5D53819D9AB]
http://linked.open...i/riv/nazevZdroje
  • Climate Dynamics
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 36
http://linked.open...iv/tvurceVysledku
  • Buishand, T. Adri
  • Hanel, Martin
http://linked.open...ain/vavai/riv/wos
  • 000287924400020
issn
  • 0930-7575
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/s00382-010-0822-2
http://localhost/t...ganizacniJednotka
  • 41330
is http://linked.open...avai/riv/vysledek of
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