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Software environment for data assimilation in radiation protection
Majer, Peter ; Šmídl, Václav (advisor) ; Hofman, Radek (referee)
In this work we apply data assimilation onto meteorological model WRF for local domain. We use bayesian statistics, namely Sequential Monte Carlo method combined with particle filtering. Only surface wind data are considered. An application written in Python programming language is also part of this work. This application forms interface with WRF, performs data assimilation and provides set of charts as output of data assimilation. In case of stable wind conditions, wind predictions of assimilated WRF are significantly closer to measured data than predictions of non-assimilated WRF. In this kind of conditions, this assimilated model can be used for more accurate short-term local weather predictions. Powered by TCPDF (www.tcpdf.org)
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Generation of computer program for specific-heat analysis
Majer, Peter ; Javorský, Pavel (advisor) ; Ježek, Pavel (referee)
This work is about to design and implement the specific-heat analysis application. The application consists of two parts: the first one provides for data manipulation, the second one plots a graph. The data manipulation part resembles a spreadsheet program - each column in a dataset stands for one measurement. Columns containing a temperature data could be used for a specific-heat calculation. This calculation is based on this model functions: conduction electrons consideration, phonon contribution and Schottky contribution. It is also possible to arrange your own formulas by using basic mathematical operations (namely summation, substraction, multiplication and division). Fitting data to the selected model is also possible. Levenberg-Marquardt and simplex method are being used for it. Hamiltonian matrix used for energy levels calculations of magnetic ions in crystalline electric fields could also be calculated. The application is written in C# programming language. Powered by TCPDF (www.tcpdf.org)
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Software environment for data assimilation in radiation protection
Majer, Peter ; Šmídl, Václav (advisor) ; Hofman, Radek (referee)
In this work we apply data assimilation onto meteorological model WRF for local domain. We use bayesian statistics, namely Sequential Monte Carlo method combined with particle filtering. Only surface wind data are considered. An application written in Python programming language is also part of this work. This application forms interface with WRF, performs data assimilation and provides set of charts as output of data assimilation. In case of stable wind conditions, wind predictions of assimilated WRF are significantly closer to measured data than predictions of non-assimilated WRF. In this kind of conditions, this assimilated model can be used for more accurate short-term local weather predictions. Powered by TCPDF (www.tcpdf.org)
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Generation of computer program for specific-heat analysis
Majer, Peter ; Ježek, Lukáš (referee) ; Javorský, Pavel (advisor)
This work is about to design and implement the speci c-heat analysis application. The application consists of two parts: the rst one provides for data manipulation, the second one plots a graph. The data manipulation part resembles a spreadsheet program - each column in a dataset stands for one measurement. Columns containing a temperature data could be used for a speci c-heat calculation. This calculation is based on this model functions: conduction electrons consideration, phonon contribution and Schottky contribution. It is also possible to arrange your own formulas by using basic mathematical operations (namely summation, substraction, multiplication and division). Fitting data to the selected model is also possible. Levenberg-Marquardt and simplex method are being used for it. Hamiltonian matrix used for energy levels calculations of magnetic ions in crystalline electric elds could also be calculated. The application is written in C# programming language.
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