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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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Analysis of occurrence of extremal values in time and space
Starý, Ladislav ; Volf, Petr (advisor) ; Dvořák, Jiří (referee)
This thesis describes and compares methods for statistical modeling of spatio- temporal data. Methods are extended by examples and numerical studies on real world data. Basic point of interest is statistical analysis of spatial data with unknown correlation structure and known position in space. Further analysis is focused on spatial data with temporal component - spatio-temporal data. Fi- nally, extremal values and their occurrences are discussed. The main aspiration of my thesis is to provide statistical tools for spatio-temporal data and analysis of extremal values of prediction. 1
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Frequency analysis of precipitation amounts
Rulfová, Zuzana ; Kyselý, Jan (advisor) ; Holtanová, Eva (referee) ; Picek, Jan (referee)
Title: Frequency analysis of precipitation amounts Author: Mgr. Zuzana Rulfová Department: Department of Atmospheric Physics Supervisor: RNDr. Jan Kyselý, Ph.D., Institute of Atmospheric Physics CAS Abstract: This thesis deals with analysing characteristics of mean and extreme precipitation in observations and regional climate models (RCMs) with respect to their convective and stratiform origin. An algorithm for subdivision of precipitation amounts into predominantly convective and stratiform using station weather data is proposed and evaluated. The time series of convective and stratiform precipitation from the Czech Republic over 1982-2010 are used for analysing basic climatological characteristics of precipitation, including extremes, and evaluating RCMs from the ENSEMBLES project. Projected changes of convective and stratiform precipitation in Central Europe (the Czech Republic) are analysed using data from RCM simulations from the EURO-CORDEX project. The last part of the thesis introduces a new statistical model for analysing precipitation extremes. This model takes advantage from knowledge of origin of precipitation extremes. In future climate we could expect more convective and stratiform precipitation amounts in all seasons except summer, when climate models project decline in amounts of stratiform...
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