A5075476867- Geophysics and Gravity Measurements
- GNSS positioning and interference
- Ionosphere and magnetosphere dynamics
- Statistical and numerical algorithms
- Spacecraft Design and Technology
- Inertial Sensor and Navigation
- Meteorological Phenomena and Simulations
- Time Series Analysis and Forecasting
- Environmental Changes in China
- Seismic Waves and Analysis
- Risk and Safety Analysis
- Advanced Mathematical Modeling in Engineering
- Magnetic Properties and Applications
- Infrastructure Resilience and Vulnerability Analysis
- Landslides and related hazards
- Induction Heating and Inverter Technology
- Astro and Planetary Science
- Cryospheric studies and observations
- Neural Networks and Applications
- Tree Root and Stability Studies
- Space exploration and regulation
- Remote Sensing and Land Use
- Precipitation Measurement and Analysis
- Satellite Image Processing and Photogrammetry
- Advanced Statistical Methods and Models
Research Institute of Geodesy, Topography and Cartography
2014-2020
Czech Technical University in Prague
2016
Slovak University of Technology in Bratislava
2015
Abstract A new concept is described for calculating the tropospheric zenith wet delay (ZWD) and its vertical approximation derived from original profile of meteorological data. parameter ZWD exponential decay introduced which, together with a reference value, represents corrections accurately up to 10 km altitude. The considerably improves reduction surface calculation using model Askne Nordius (1987). This development reduces large data set numerical weather an accurate grid representation...
Abstract. In this paper, we present results of the second reprocessing all data from 1996 to 2014 stations in International Association Geodesy (IAG) Reference Frame Sub-Commission for Europe (EUREF) Permanent Network (EPN) as performed at Geodetic Observatory Pecný (GOP). While original goal research was ultimately contribute realization a new European Terrestrial System (ETRS), also aim provide set GNSS (Global Navigation Satellite System) tropospheric parameter time series with possible...
Abstract We assess the performance of different break detection methods on three sets benchmark data sets, each consisting 120 daily time series integrated water vapor differences. These differences are generated from Global Positioning System (GPS) measurements at sites worldwide, and numerical weather prediction reanalysis (ERA‐Interim) output, which serves as reference here. The includes homogeneous inhomogeneous sections with added nonclimatic shifts (breaks) in latter. Three variants...
This paper presents a methodological approach to the time-series analysis of movement monitoring data large slow-moving landslide. It combines different methods manipulation decrease subjectivity researcher and provides fully quantitative for analyzing amounts data. The methodology was applied 3D dilatometric acquired from giant San Andrés Landslide on El Hierro in Canary Islands period October 2013 April 2019. landslide is creeping volcanic flank collapse showing speed during period....
The goal of this paper is to provide a mathematical threat modeling methodology and risk assessment tool that may assist security consultants at assessing the risks in their protected systems/plants, nuclear power plants stores hazardous substances: explosive atmospheres flammable combustible gases liquids, so forth, building an appropriate mitigation policy. probability penetration into objects estimated by combining overcoming barriers with vulnerability model. On basis topographical...
We are discussing changepoint detection in tropospheric parameter time series that occurs a numerical weather reanalysis model.Our approach applies statistical method is based on the maximum value of two sample t-statistics.We use critical values calculated by applying an asymptotic distribution.We also apply distribution to finding approximate for position.Experiments "test" and "real" data illustrate assumed accuracy efficiency our method.The assessed its application after adding synthetic...
In many applications of Global Navigate Satellite Systems the meteorological time-series play a very important role, especially when representing source input data for other calculations such as corrections precise positioning. We are interested in those which related to troposphere delay modelling. Time-series might contain some non-homogeneities, depending on type source. this paper outlier detection is discussed. For investigation we used method based autoregressive model and results its...