In my Diploma Thesis are processed and analyzed values of average monthly temperatures recorded in 34 meteorological stations that are uniformly distributed in the territory of the Czech Republic. Recorded data are approximated by a series regression function F(t, x, y, h), which is based on a model . This function describe the dependence of temperature T [°C] on time t [year], geographical position x, y [km] and altitude h [m]. Unknown coefficients of the linear functions were calculated using a Maple application based on the method of least squares. The author calculated coefficients of linear correlation for each meteorological station and also the time development of the coefficient of linear correlation for the whole territory of the Czech Republic. The calculated average values for individual stations and for the whole territory were 0.97 and 0.92, respectively. This result indicates a very high standard of the developed model and the model itself indicates that the average temperatures are decreasing in approximately 80 % of the territory of the Czech Republic.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:179674 |
| Date | January 2014 |
| Creators | Osičková, Renata |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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