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Simple snow cover model for agrometeorological applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F10%3A00162290" target="_blank" >RIV/62156489:43210/10:00162290 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Simple snow cover model for agrometeorological applications

  • Original language 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 wastested 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

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    DG - Atmospheric sciences, meteorology

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA521%2F08%2F1682" target="_blank" >GA521/08/1682: Effect of climate variability and meteorological extremes on the production of selected crops between 1801 and 2007</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Agricultural and forest meteorology

  • ISSN

    0168-1923

  • e-ISSN

  • Volume of the periodical

  • Issue of the periodical within the volume

    150

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database