Vytvoření a využití programu SoilClim

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F07%3A00116162" target="_blank" >RIV/62156489:43210/07:00116162 - 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

Development and using of SoilClim software

Popis výsledku v původním jazyce

The main aim of this contribution was to describe and show possible utilization of the SoilClim software which was developed and tested within the Institute for Agrosystems and bioclimatology. This tool was designed in order to determine soil Hydric andTemperature regime and drought probability over a range of climatic and soil conditions. The SoilClim is based on a newly enhanced daily water balance model and incorporates realistically modeled interactions between soil and atmosphere through a dynamical module of vegetation cover. Snow cover simulator and algorithm for estimates of soil temperature in depth 50 cm are also included. Daily values of estimated soil moisture content in both model layers were compared in detail with the observed data on three most productive and in agricultural landscapes frequently appearing soil types: deep grounded chernosem, sandy chernosem and fluvisoil. Evaluation dataset from the period 1998-2005 was provided by lysimeters in Gross-Enzersdorf manag

Název v anglickém jazyce

Development and using of SoilClim software

Popis výsledku anglicky

The main aim of this contribution was to describe and show possible utilization of the SoilClim software which was developed and tested within the Institute for Agrosystems and bioclimatology. This tool was designed in order to determine soil Hydric andTemperature regime and drought probability over a range of climatic and soil conditions. The SoilClim is based on a newly enhanced daily water balance model and incorporates realistically modeled interactions between soil and atmosphere through a dynamical module of vegetation cover. Snow cover simulator and algorithm for estimates of soil temperature in depth 50 cm are also included. Daily values of estimated soil moisture content in both model layers were compared in detail with the observed data on three most productive and in agricultural landscapes frequently appearing soil types: deep grounded chernosem, sandy chernosem and fluvisoil. Evaluation dataset from the period 1998-2005 was provided by lysimeters in Gross-Enzersdorf manag

Druh

D - Stať ve sborníku

CEP obor

GC - Pěstování rostlin, osevní postupy

OECD FORD obor

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Projekt

<a href="/cs/project/QG60051" target="_blank" >QG60051: Dopady změny klimatu na růst a vývoj vybraných polních plodin</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2007

Kód důvěrnosti údajů

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

Název statě ve sborníku

MendelNet'07 Agro

ISBN

978-80-7375-119-7

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

27-27

Název nakladatele

MZLU v Brně

Místo vydání

MZLU v Brně

Místo konání akce

Brno

Datum konání akce

1. 1. 2007

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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