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Testing of Precise Point Positioning Method
Nosek, Jakub ; Kratochvíl, Radim (referee) ; Machotka, Radovan (advisor)
This diploma thesis deals with the Precise Point Positioning (PPP) method in various variants. The thesis describes the theoretical foundations of the PPP method and the most important systematic errors that affect accuracy. The accuracy of the PPP method was evaluated using data from the permanent GNSS station CADM, which is part of the AdMaS research center. Data of the period 2018 – 2019 were processed. The results of combinations of different GNSS and the results of different observation periods were compared. Finally, the accuracy was verified at 299 IGS GNSS stations.
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Zvýšení efektivity kontroly ramene tankovací nádrže
Sobotková, Kateřina ; Tůma, Jiří (referee) ; Blecha, Petr (advisor)
The diploma thesis consists of a new design of a controlling procedure for a plastic component of a tank. Its theoretical part deals with the potential sources of errors and uncertainties arising from the measuring itself. It also deals with the characteristics of available CMM devices and includes an analysis of the methods assessing the acceptability of the measurement plan. The practical part analyses systematically the current state and proposes a new solution using a program created using a coordinate machine. A comparison of both variants is presented as an output of the thesis.
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Non-conventional data assimilation in high resolution numerical weather prediction model with study of the slow manifold of the model
Benáček, Patrik ; Brožková, Radmila (advisor) ; Derková, Mária (referee) ; Randriamampianina, Roger (referee)
Satellite instruments currently provide the largest source of infor- mation to today's data assimilation (DA) systems for numerical weather predic- tion (NWP). With the development of high-resolution models, the efficient use of observations at high density is essential to improve small-scale information in the weather forecast. However, a large amount of satellite radiances has to be removed from DA by horizontal data thinning due to uncorrelated observation error assumptions. Moreover, satellite radiances include systematic errors (biases) that may be even larger than the observation signal itself, and must be properly removed prior to DA. Although the Variational Bias Correction (VarBC) scheme is widely used by global NWP centers, there are still open questions regarding its use in Limited-Area Models (LAMs). This thesis aims to tackle the obser- vation error difficulties in assimilating polar satellite radiances in the meso-scale ALADIN system. Firstly, we evaluate spatial- and inter-channel error correla- tions to enhance the positive effect of data thinning. Secondly, we study satellite radiance bias characteristics with the key aspects of the VarBC in LAMs, and we compare the different VarBC configurations with regards to forecast performance. This work is a step towards improving the...
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Testing of Precise Point Positioning Method
Nosek, Jakub ; Kratochvíl, Radim (referee) ; Machotka, Radovan (advisor)
This diploma thesis deals with the Precise Point Positioning (PPP) method in various variants. The thesis describes the theoretical foundations of the PPP method and the most important systematic errors that affect accuracy. The accuracy of the PPP method was evaluated using data from the permanent GNSS station CADM, which is part of the AdMaS research center. Data of the period 2018 – 2019 were processed. The results of combinations of different GNSS and the results of different observation periods were compared. Finally, the accuracy was verified at 299 IGS GNSS stations.
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|
|
Zvýšení efektivity kontroly ramene tankovací nádrže
Sobotková, Kateřina ; Tůma, Jiří (referee) ; Blecha, Petr (advisor)
The diploma thesis consists of a new design of a controlling procedure for a plastic component of a tank. Its theoretical part deals with the potential sources of errors and uncertainties arising from the measuring itself. It also deals with the characteristics of available CMM devices and includes an analysis of the methods assessing the acceptability of the measurement plan. The practical part analyses systematically the current state and proposes a new solution using a program created using a coordinate machine. A comparison of both variants is presented as an output of the thesis.
|
|
|
Non-conventional data assimilation in high resolution numerical weather prediction model with study of the slow manifold of the model
Benáček, Patrik ; Brožková, Radmila (advisor) ; Derková, Mária (referee) ; Randriamampianina, Roger (referee)
Satellite instruments currently provide the largest source of infor- mation to today's data assimilation (DA) systems for numerical weather predic- tion (NWP). With the development of high-resolution models, the efficient use of observations at high density is essential to improve small-scale information in the weather forecast. However, a large amount of satellite radiances has to be removed from DA by horizontal data thinning due to uncorrelated observation error assumptions. Moreover, satellite radiances include systematic errors (biases) that may be even larger than the observation signal itself, and must be properly removed prior to DA. Although the Variational Bias Correction (VarBC) scheme is widely used by global NWP centers, there are still open questions regarding its use in Limited-Area Models (LAMs). This thesis aims to tackle the obser- vation error difficulties in assimilating polar satellite radiances in the meso-scale ALADIN system. Firstly, we evaluate spatial- and inter-channel error correla- tions to enhance the positive effect of data thinning. Secondly, we study satellite radiance bias characteristics with the key aspects of the VarBC in LAMs, and we compare the different VarBC configurations with regards to forecast performance. This work is a step towards improving the...
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