A Trend of the Five-Year Development Temperatures computed from Average Monthly Temperatures in the Territory of the Czech Republic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F14%3A00229087" target="_blank" >RIV/62156489:43210/14:00229087 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Trend of the Five-Year Development Temperatures computed from Average Monthly Temperatures in the Territory of the Czech Republic
Popis výsledku v původním jazyce
In this paper, its authors process and analyze values of average monthly temperatures recorded in 34 meteorological stations since January 2003 till December 2013 that are uniformly distributed in the territory of the Czech Republic. At first statisticalrelevance of each term of the used regression function is evaluated using the sum of squared residuals per degree of freedom. A second function containing only significant terms is tested on the edge of statistical reliability equal to 99%, 95% and 90%with respect to its individual terms. The Fisher-Snedecor function was used to determine really important terms of the evaluated function. The Final function enabled computation coefficients of 7 regression functions explaining recorded data in 7 time steps of 5 year intervals. These functions were used to determine border positions splitting areas of the Czech Republic into zones of local warming and cooling. Recorded data is plotted graphically and shows that this border oscillates ove
Název v anglickém jazyce
A Trend of the Five-Year Development Temperatures computed from Average Monthly Temperatures in the Territory of the Czech Republic
Popis výsledku anglicky
In this paper, its authors process and analyze values of average monthly temperatures recorded in 34 meteorological stations since January 2003 till December 2013 that are uniformly distributed in the territory of the Czech Republic. At first statisticalrelevance of each term of the used regression function is evaluated using the sum of squared residuals per degree of freedom. A second function containing only significant terms is tested on the edge of statistical reliability equal to 99%, 95% and 90%with respect to its individual terms. The Fisher-Snedecor function was used to determine really important terms of the evaluated function. The Final function enabled computation coefficients of 7 regression functions explaining recorded data in 7 time steps of 5 year intervals. These functions were used to determine border positions splitting areas of the Czech Republic into zones of local warming and cooling. Recorded data is plotted graphically and shows that this border oscillates ove
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
DG - Vědy o atmosféře, meteorologie
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
MendelNet 2014 - Proceedings of International PhD Students Conference
ISBN
978-80-7509-174-1
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
295-300
Název nakladatele
Mendel University in Brno
Místo vydání
Brno, Czech Republic
Místo konání akce
Brno, Czech Republic
Datum konání akce
19. 11. 2014
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
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