The importance of the snow cover consideration within water balance and crops growth modeling

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F17%3A43912934" target="_blank" >RIV/62156489:43210/17:43912934 - isvavai.cz</a>

Výsledek na webu

<a href="http://sbks.sk/smolenice/Wimmerov%C3%A1%20et%20al.pdf" target="_blank" >http://sbks.sk/smolenice/Wimmerov%C3%A1%20et%20al.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The importance of the snow cover consideration within water balance and crops growth modeling

Popis výsledku v původním jazyce

The importance of the snow cover for field crops is within proper conditions for overwintering due to protection against low temperatures and it is significant income component from the water balance point of view. Both of these functions should be taken into account when applying so-called crop growth models for simulations of growth and the development of target field crops (if snow is present within the season). Although crop growth models are very sophisticated software, algorithms for estimating the occurrence and influence of snow cover are not always included. This is also the case with the HERMES model, which can be successfully used for modeling of whole crop rotations, but module for snow cover consideration is not originally included. The main objective of this study is to test the importance of algorithms for estimating the snow cover on the results of growth and development of winter wheat (Bohemia variety) on the example of selected growing seasons. The snow cover estimates were conducted by the SnowMAUS model. The relevant field experiment was carried out at the Domaninek site (49o31&apos;42&quot;N, 16o14&apos;13&quot;E, altitude 560 m). Experimental site is characterized by dystric cambisol soil type, mean annual temperature of 7.2 oC and mean precipitation of 609.3 mm (1981-2010). For the purpose of presented study the necessary inputs like daily meteorological data for the HERMES and SnowMAUS (global radiation, maximal/minimal air temperature, precipitation, air humidity and wind speed) are available. Moreover observed values of phenological phases, leaf area index, yields and soil moisture were used for validation of HERMES model results and simulations with and without snow cover consideration.

Název v anglickém jazyce

The importance of the snow cover consideration within water balance and crops growth modeling

Popis výsledku anglicky

The importance of the snow cover for field crops is within proper conditions for overwintering due to protection against low temperatures and it is significant income component from the water balance point of view. Both of these functions should be taken into account when applying so-called crop growth models for simulations of growth and the development of target field crops (if snow is present within the season). Although crop growth models are very sophisticated software, algorithms for estimating the occurrence and influence of snow cover are not always included. This is also the case with the HERMES model, which can be successfully used for modeling of whole crop rotations, but module for snow cover consideration is not originally included. The main objective of this study is to test the importance of algorithms for estimating the snow cover on the results of growth and development of winter wheat (Bohemia variety) on the example of selected growing seasons. The snow cover estimates were conducted by the SnowMAUS model. The relevant field experiment was carried out at the Domaninek site (49o31&apos;42&quot;N, 16o14&apos;13&quot;E, altitude 560 m). Experimental site is characterized by dystric cambisol soil type, mean annual temperature of 7.2 oC and mean precipitation of 609.3 mm (1981-2010). For the purpose of presented study the necessary inputs like daily meteorological data for the HERMES and SnowMAUS (global radiation, maximal/minimal air temperature, precipitation, air humidity and wind speed) are available. Moreover observed values of phenological phases, leaf area index, yields and soil moisture were used for validation of HERMES model results and simulations with and without snow cover consideration.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10510 - Climatic research

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Snow an ecological phenomenon: Conference proceedings

ISBN

978-80-89703-47-0

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

&quot;Nestrankovano&quot;

Název nakladatele

Slovenská botanická spoločnosť pri SAV

Místo vydání

Bratislava

Místo konání akce

Smolenice

Datum konání akce

19. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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