Simple snow cover model for agrometeorological applications

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Simple snow cover model for agrometeorological applications

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Simple snow cover model for agrometeorological applications

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DG - Vědy o atmosféře, meteorologie

OECD FORD obor

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Projekt

<a href="/cs/project/GA521%2F08%2F1682" target="_blank" >GA521/08/1682: Vliv klimatické variability a meteorologických extrémů na produkci vybraných plodin v letech 1801-2007</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název periodika

Agricultural and forest meteorology

ISSN

0168-1923

e-ISSN

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Svazek periodika

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Číslo periodika v rámci svazku

150

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

13

Strana od-do

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Kód UT WoS článku

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EID výsledku v databázi Scopus

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