Jan Kapłon
Wroclaw University of Environmental and Life Sciences
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Featured researches published by Jan Kapłon.
Measurement Science and Technology | 2013
Tomasz Hadas; Jan Kapłon; J. Bosy; Jan Sierny; Karina Wilgan
The GNSS precise point positioning (PPP) technique requires high quality product (orbits and clocks) application, since their error directly affects the quality of positioning. For real-time purposes it is possible to utilize ultra-rapid precise orbits and clocks which are disseminated through the Internet. In order to eliminate as many unknown parameters as possible, one may introduce external information on zenith troposphere delay (ZTD). It is desirable that the a priori model is accurate and reliable, especially for real-time application. One of the open problems in GNSS positioning is troposphere delay modelling on the basis of ground meteorological observations. Institute of Geodesy and Geoinformatics of Wroclaw University of Environmental and Life Sciences (IGG WUELS) has developed two independent regional troposphere models for the territory of Poland. The first one is estimated in near-real-time regime using GNSS data from a Polish ground-based augmentation system named ASG-EUPOS established by Polish Head Office of Geodesy and Cartography (GUGiK) in 2008. The second one is based on meteorological parameters (temperature, pressure and humidity) gathered from various meteorological networks operating over the area of Poland and surrounding countries. This paper describes the methodology of both model calculation and verification. It also presents results of applying various ZTD models into kinematic PPP in the post-processing mode using Bernese GPS Software. Positioning results were used to assess the quality of the developed models during changing weather conditions. Finally, the impact of model application to simulated real-time PPP on precision, accuracy and convergence time is discussed.
Journal of Geophysical Research | 2017
Tomasz Hadas; Anna Krypiak-Gregorczyk; M. Hernández-Pajares; Jan Kapłon; Jacek Paziewski; Pawel Wielgosz; Alberto García-Rigo; Kamil Kazmierski; Krzysztof Jakub Sosnica; D. Kwasniak; J. Sierny; J. Bosy; M. Pucilowski; R. Szyszko; K. Portasiak; Germán Olivares‐Pulido; T.L. Gulyaeva; Raul Orus-Perez
High precision Global Navigation Satellite Systems (GNSS) positioning and time transfer require correcting signal delays, in particular higher-order ionospheric (I2+) terms. We present a consolidated model to correct second- and third-order terms, geometric bending and differential STEC bending effects in GNSS data. The model has been implemented in an online service correcting observations from submitted RINEX files for I2+ effects. We performed GNSS data processing with and without including I2+ corrections, in order to investigate the impact of I2+ corrections on GNSS products. We selected three time periods representing different ionospheric conditions. We used GPS and GLONASS observations from a global network and two regional networks in Poland and Brazil. We estimated satellite orbits, satellite clock corrections, Earth rotation parameters, troposphere delays, horizontal gradients, and receiver positions using a global GNSS solution, Real-Time Kinematic (RTK) and Precise Point Positioning (PPP) techniques. The satellite-related products captured most of the impact of I2+ corrections, with the magnitude up to 2 cm for clock corrections, 1 cm for the along- and cross-track orbit components, and below 5 mm for the radial component. The impact of I2+ on troposphere products turned out to be insignificant in general. I2+ corrections had limited influence on the performance of ambiguity resolution and the reliability of RTK positioning. Finally, we found that I2+ corrections caused a systematic shift in the coordinate domain that was time- and region-dependent, and reached up to -11 mm for the North component of the Brazilian stations during the most active ionospheric conditions. .
Annales Geophysicae | 2012
J. Bosy; Jan Kapłon; Witold Rohm; J. Sierny; Tomasz Hadas
Atmospheric Measurement Techniques | 2016
Jan Dousa; Galina Dick; Michal Kačmařík; Radmila Brožková; Florian Zus; Hugues Brenot; Anastasia Stoycheva; Gregor Möller; Jan Kapłon
Atmospheric Measurement Techniques | 2017
Michal Kačmařík; Jan Dousa; Galina Dick; Florian Zus; Hugues Brenot; Gregor Möller; Eric Pottiaux; Jan Kapłon; Pawel Hordyniec; Pavel Vaclavovic; Laurent Morel
Pure and Applied Geophysics | 2017
Małgorzata Werner; Maciej Kryza; Carsten Ambelas Skjøth; Kinga Wałaszek; Anthony J. Dore; Hanna Ojrzyńska; Jan Kapłon
Radio Science | 2017
M. Hernández-Pajares; Pawel Wielgosz; Jacek Paziewski; Anna Krypiak-Gregorczyk; Marta Krukowska; Katarzyna Stepniak; Jan Kapłon; Tomasz Hadas; Krzysztof Jakub Sosnica; J. Bosy; Raul Orus-Perez; Enric Monte-Moreno; Heng Yang; Alberto García-Rigo; Germán Olivares‐Pulido
Meteorology Hydrology and Water Management | 2017
Natalia Dymarska; Witold Rohm; Jan Sierny; Jan Kapłon; Tomasz Kubik; Maciej Kryza; Jerzy Jutarski; Jacek Gierczak; Ryszard Kosierb
Radio Science | 2017
M. Hernández-Pajares; Pawel Wielgosz; Jacek Paziewski; Anna Krypiak-Gregorczyk; Marta Krukowska; Katarzyna Stepniak; Jan Kapłon; Tomasz Hadas; Krzysztof Jakub Sosnica; J. Bosy; Raul Orus-Perez; Enric Monte-Moreno; Heng Yang; Alberto García-Rigo; Germán Olivares‐Pulido
Journal of Geophysical Research | 2017
Tomasz Hadas; Anna Krypiak-Gregorczyk; M. Hernández-Pajares; Jan Kapłon; Jacek Paziewski; Pawel Wielgosz; Alberto García-Rigo; Kamil Kazmierski; Krzysztof Jakub Sosnica; D. Kwasniak; J. Sierny; J. Bosy; M. Pucilowski; R. Szyszko; K. Portasiak; Germán Olivares‐Pulido; T.L. Gulyaeva; Raul Orus-Perez