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Description
  • This study was aimed to develop, test and provide access to a snow cover model for agrometeorological use (snowMAUS) that would rely strictly on the weather data used by all crop simulation models, i.e., diurnal temperature extremes and total daily precipitation. Such snow model can easily be used to preprocess input data in order to account for the presence or absence of snow cover whenever required by the crop modeler, without necessitating the acquisition of additional data. The snow cover model was tested across 65 sites across Austria with considerable variability in elevation (155--3111ma.s.l.). In addition 7 sites in the Czech Republic were used to evaluate snowMAUS reliability in assessing frost damage to winter wheat crop. For illustration a case study documenting the benefit of coupling snowMAUS with process based crop model (STICS) was also included in the study. The presented work complements previous snow cover modeling studies with its focus on the development of a simple snow c
  • This study was aimed to develop, test and provide access to a snow cover model for agrometeorological use (snowMAUS) that would rely strictly on the weather data used by all crop simulation models, i.e., diurnal temperature extremes and total daily precipitation. Such snow model can easily be used to preprocess input data in order to account for the presence or absence of snow cover whenever required by the crop modeler, without necessitating the acquisition of additional data. The snow cover model was tested across 65 sites across Austria with considerable variability in elevation (155--3111ma.s.l.). In addition 7 sites in the Czech Republic were used to evaluate snowMAUS reliability in assessing frost damage to winter wheat crop. For illustration a case study documenting the benefit of coupling snowMAUS with process based crop model (STICS) was also included in the study. The presented work complements previous snow cover modeling studies with its focus on the development of a simple snow c (en)
Title
  • Simple snow cover model for agrometeorological applications
  • Simple snow cover model for agrometeorological applications (en)
skos:prefLabel
  • Simple snow cover model for agrometeorological applications
  • Simple snow cover model for agrometeorological applications (en)
skos:notation
  • RIV/62156489:43210/10:00162290!RIV11-GA0-43210___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA521/08/1682), Z(MSM6215648905)
http://linked.open...iv/cisloPeriodika
  • 150
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
  • 287345
http://linked.open...ai/riv/idVysledku
  • RIV/62156489:43210/10:00162290
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • frost risk; winter wheat; crop modeling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [6061325D2CE5]
http://linked.open...i/riv/nazevZdroje
  • Agricultural and forest meteorology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Eitzinger, Josef
  • Formayer, Herbert
  • Hlavinka, Petr
  • Ruget, Francoise
  • Schaumberger, Andreas
  • Svobodová, Eva
  • Trnka, Miroslav
  • Žalud, Zdeněk
  • Horáková, Vladimíra
  • Možný, Martin
  • Balek, Jan
http://linked.open...n/vavai/riv/zamer
issn
  • 0168-1923
number of pages
http://localhost/t...ganizacniJednotka
  • 43210
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