Nejistoty ve vstupních hodnotách globální radiace a jejich propagace v růstových modelech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F05%3A00087243" target="_blank" >RIV/62156489:43210/05:00087243 - 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

Uncertainty in the global solar radiation data, its propagation in crop models and consequences for the spatial analysis

Popis výsledku v původním jazyce

The results of the recently published studies suggest that the estimated RG values are loaded with an error, which might compromise the precision of the subsequent crop model applications. Such error would then translate in the analyses based on the cropmodels as e.g. crop yield forecasting or climate change impact studies. Therefore a detailed analysis of the error propagation was made using two crop models i.e. CERES-Barley and CERES-Wheat. Database of meteorological data originating from 8 stationsin Austria and Czech Republic was used in order to carry out the analysis. It has been found that even application of the method based on sunshine duration hours that yield the lowest bias in RGestimates significantly influences number of key crop modeloutputs. It has been also noted that in 5-6 seasons out 100 cases of deviation greater than +-10 % are to be expected whilst the chance of occurrence of even greater error (+-25 %) is not negligible. The precision of the yield estimates a

Název v anglickém jazyce

Uncertainty in the global solar radiation data, its propagation in crop models and consequences for the spatial analysis

Popis výsledku anglicky

The results of the recently published studies suggest that the estimated RG values are loaded with an error, which might compromise the precision of the subsequent crop model applications. Such error would then translate in the analyses based on the cropmodels as e.g. crop yield forecasting or climate change impact studies. Therefore a detailed analysis of the error propagation was made using two crop models i.e. CERES-Barley and CERES-Wheat. Database of meteorological data originating from 8 stationsin Austria and Czech Republic was used in order to carry out the analysis. It has been found that even application of the method based on sunshine duration hours that yield the lowest bias in RGestimates significantly influences number of key crop modeloutputs. It has been also noted that in 5-6 seasons out 100 cases of deviation greater than +-10 % are to be expected whilst the chance of occurrence of even greater error (+-25 %) is not negligible. The precision of the yield estimates a

Druh

D - Stať ve sborníku

CEP obor

GC - Pěstování rostlin, osevní postupy

OECD FORD obor

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Projekt

<a href="/cs/project/GP521%2F03%2FD059" target="_blank" >GP521/03/D059: Využití možnosti prostorové analýzy pro odhad rizik a návrh adaptačních opatření pro produkci jarního ječmene ve změněných klimatických podmínkách</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2005

Kód důvěrnosti údajů

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

Název statě ve sborníku

Geophysical Research Abstracts

ISBN

1029-7006

ISSN

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e-ISSN

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Počet stran výsledku

1

Strana od-do

8740-8740

Název nakladatele

European Geosciences Union

Místo vydání

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Místo konání akce

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Datum konání akce

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Typ akce podle státní příslušnosti

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Kód UT WoS článku

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