The importance of the snow cover consideration within water balance and crops growth modeling
The result's identifiers
Result code in 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>
Result on the web
<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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Alternative languages
Result language
angličtina
Original language name
The importance of the snow cover consideration within water balance and crops growth modeling
Original language description
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 (49o31'42"N, 16o14'13"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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10510 - Climatic research
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Snow an ecological phenomenon: Conference proceedings
ISBN
978-80-89703-47-0
ISSN
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e-ISSN
neuvedeno
Number of pages
5
Pages from-to
"Nestrankovano"
Publisher name
Slovenská botanická spoločnosť pri SAV
Place of publication
Bratislava
Event location
Smolenice
Event date
Sep 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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