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Determination of wind direction and speed from free atmosphere data
Mach, Václav ; Huth, Radan (advisor) ; Mikšovský, Jiří (referee)
4 Abstract Determination of wind direction and speed from free atmosphere data. This work deals with relationship between surface wind and large-scale predictors in the Czech Republic. Approach is statistical downscaling based on multiple linear regression with stepwise screening. Tested predictors include four geopotential heights (hgt 500, hgt 700, hgt 850 and hgt 1000), sea level pressure and surface wind components U and V. Observed surface wind speed and azimuth from 18 meteorological station ČHMÚ is used as predictand. Period of interest is define by used data on term 1961 - 2010. In three different methods are compared straight downscaling of wind components U and V, used wind speed calculate from downscaled components U and V, and straight downscaling of wind speed without distinguish wind direction. Resulting models are tested by cross-validation method. The resulting equation allows good simulation of surface wind at most of station. The better method to downscaling surface wind speed is prescribe method of calculate wind speed from downscaled components U and V.
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Statistical downscaling of extreme temperature values
Krejčová, Zuzana ; Huth, Radan (advisor) ; Mikšovský, Jiří (referee)
This diploma thesis deals with statistical downscaling of extréme temperature values. In first section describes two type sof downscaling- dynamical and statistical. All the examples are listed and described variol methods to simulation chmate elements, in particular temperatures and precipitation. Then there asre the linea rand non-linear methods were compared and the results of previous studies deals with this problem. These studies address not only daily or monthly average values, but also extréme. Extreme values are more difficult to simulate. In my thesis, I focus on downscaling of extréme temperature using linear regression. I focused on the are sof Europe, where I chose 10 stations, which cover variol chmate of Europe. Extreme values to every season, the lowest in winter and the highest in summer. The aim of this thesis was determine whether i tis appropriate to use to simulate extreme temperature seasonal average values in the free atmosphere. Key words: downscaling, statistical downscaling, extreme temperature, climate simulation
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Determination of wind direction and speed from free atmosphere data
Mach, Václav ; Huth, Radan (advisor) ; Mikšovský, Jiří (referee)
4 Abstract Determination of wind direction and speed from free atmosphere data. This work deals with relationship between surface wind and large-scale predictors in the Czech Republic. Approach is statistical downscaling based on multiple linear regression with stepwise screening. Tested predictors include four geopotential heights (hgt 500, hgt 700, hgt 850 and hgt 1000), sea level pressure and surface wind components U and V. Observed surface wind speed and azimuth from 18 meteorological station ČHMÚ is used as predictand. Period of interest is define by used data on term 1961 - 2010. In three different methods are compared straight downscaling of wind components U and V, used wind speed calculate from downscaled components U and V, and straight downscaling of wind speed without distinguish wind direction. Resulting models are tested by cross-validation method. The resulting equation allows good simulation of surface wind at most of station. The better method to downscaling surface wind speed is prescribe method of calculate wind speed from downscaled components U and V.
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