|
|
Rain Prediction Using Meteo-Radar
Putna, Lukáš ; Grézl, František (referee) ; Szőke, Igor (advisor)
This work deals with the concept and implementation of short term rain prediction system using meteo-radar. Some basic methods are mentioned and then artificial neural networks are discussed and used for solution. It is proposed how the prediction system using neural networks works. The process of preparing radar data, training neural network with the data and a few scoring methods are discussed. There are shown some experimental results and several improvements are devised at the end of this paper.
|
|
|
Automated area measurement of precipitation intensity via a network of microwave links
Bubniak, Milan ; Pospíšil, Ondřej (referee) ; Musil, Petr (advisor)
Point-to-point microwave links can be utilized as a large sensor network to measure rainfall. This work deals with the application of this procedure in practice. The first part of the thesis deals with atmospheric precipitation in general and standard methods of their measurement; and the propagation of the microwave signal and various causes of its attenuation, focusing on the attenuation caused by rain and the recommendation ITU-R P.838. This is followed by a state of the art summarization of the measurement of rainfall by microwave links. In the second part of the work, a manual procedure for calculating rainfall from microwave link data is performed, taking wet antenna attenuation into account. Then the creation of a support tool in the C# language is being described, which supply the data to the functions of the RAINLINK rainfall calculation library. Several rainfall calculations that are validated by physical rain gauges are performed. Furthermore, the own Telcorain application for rainfall calculation is created in the Python language, based on the pycomlink library. It has a graphical user interface created in PyQt. Several rainfall calculations validated by rain gauges are performed again, and the results are compared with the RAINLINK library.
|
|
|
Automated area measurement of precipitation intensity via a network of microwave links
Bubniak, Milan ; Pospíšil, Ondřej (referee) ; Musil, Petr (advisor)
Point-to-point microwave links can be utilized as a large sensor network to measure rainfall. This work deals with the application of this procedure in practice. The first part of the thesis deals with atmospheric precipitation in general and standard methods of their measurement; and the propagation of the microwave signal and various causes of its attenuation, focusing on the attenuation caused by rain and the recommendation ITU-R P.838. This is followed by a state of the art summarization of the measurement of rainfall by microwave links. In the second part of the work, a manual procedure for calculating rainfall from microwave link data is performed, taking wet antenna attenuation into account. Then the creation of a support tool in the C# language is being described, which supply the data to the functions of the RAINLINK rainfall calculation library. Several rainfall calculations that are validated by physical rain gauges are performed. Furthermore, the own Telcorain application for rainfall calculation is created in the Python language, based on the pycomlink library. It has a graphical user interface created in PyQt. Several rainfall calculations validated by rain gauges are performed again, and the results are compared with the RAINLINK library.
|
|
|
Rain Prediction Using Meteo-Radar
Putna, Lukáš ; Grézl, František (referee) ; Szőke, Igor (advisor)
This work deals with the concept and implementation of short term rain prediction system using meteo-radar. Some basic methods are mentioned and then artificial neural networks are discussed and used for solution. It is proposed how the prediction system using neural networks works. The process of preparing radar data, training neural network with the data and a few scoring methods are discussed. There are shown some experimental results and several improvements are devised at the end of this paper.
|
|
| |
|
| |
|
| |
|
|
Výzkum vztahů mezi meteorologickými příčinami vývoje silných srážek a hydrologickou odezvou povodí
Ústav fyziky atmosféry AV ČR, Praha ; Hančarová, Eugenie ; Šercl, Petr ; Šálek, Milan ; Řezáčová, Daniela
Popis výsledků úkolu v rámci dílčích úkolů: 1. Výzkum meteorologických příčin vývoje silných srážek a povodní, vývoj metod pro zpřesnění předpovědi plošných srážek - stanovení rozhodovacích kritérií, která hodnotí pravděpodobnost výskytu srážek pro výskyt velkoplošných letních povodní, zpřesnění předpovědi plošných srážek na základě metody nowcastingu a statistického postprocessingu přímé modelové předpovědi, identifikace cirkulačních typů vysvětlujících jak variabilitu srážky, tak průtokové extrémy pro vybraná povodí., 2. Odhady srážek s pomocí meteorologických radiolokátorů a jejich využití pro srážkoodtokové modelování - výpočty radarových odhadů pro model Aqualog a Hydrog, 3. Rozvoj a testování srážkoodtokového modelu s parametry odvozenými na základě fyzicko-geografických vlastností povodí - testování událostního modelu pro předpovědní účely, testování modelu s parametry povodí Sázava, 4. Kalibrace srážkoodtokových modelů pro nově začleněná povodí do systému - pro povodí Cidliny, Ploučnice, Jihlavy, horní Moravy. Přílohy ke kalibracím povodí, podklady pro časové řady průtoků, srážkové časové řady a teplotní časové řady.
|
|
| |
|
| |
guest ::
