Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Benedikt Soja"'
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-22 (2024)
Abstract Some of the important geodetic time series used in various Earth science disciplines are provided without uncertainty estimates. This can affect the validity of conclusions based on such data. However, an efficient uncertainty quantification
Externí odkaz:
https://doaj.org/article/77dea8627a904056bb32b1d82ed20891
Autor:
Małgorzata Wińska, Tomasz Kur, Justyna Śliwińska-Bronowicz, Jolanta Nastula, Henryk Dobslaw, Aleksander Partyka, Santiago Belda, Christian Bizouard, Dale Boggs, Mike Chin, Sujata Dhar, Jose M. Ferrandiz, Junyang Gou, Richard Gross, Sonia Guessoum, Robert Heinkelmann, Sadegh Modiri, Todd Ratcliff, Shrishail Raut, Matthias Schartner, Harald Schuh, Mostafa Kiani Shahvandi, Benedikt Soja, Daniela Thaller, Yuanwei Wu, Xueqing Xu, Xinyu Yang, Xin Zhao
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-21 (2024)
Abstract In 2021, the International Earth Rotation and Reference Systems Service (IERS) established a working group tasked with conducting the Second Earth Orientation Parameters Prediction Comparison Campaign (2nd EOP PCC) to assess the current accu
Externí odkaz:
https://doaj.org/article/4d751497cbf947a49cdf6836cce80ee8
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-15 (2024)
Abstract The difference between observed and modelled precession/nutation reveals unmodelled signals commonly referred to as Celestial Pole Offsets (CPO), denoted by dX and dY. CPO are currently observed only by Very Long Baseline Interferometry (VLB
Externí odkaz:
https://doaj.org/article/a2f8e7e0b56f4a54a3c74bb426516ee7
Autor:
Linda See, Benedikt Soja, Grzegorz Kłopotek, Tobias Sturn, Rudi Weinacker, Santosh Karanam, Ivelina Georgieva, Yuanxin Pan, Laura Crocetti, Markus Rothacher, Vicente Navarro, Steffen Fritz, Ian McCallum
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 2818-2841 (2023)
Raw observations (carrier-phase and code observations) from the Global Navigation Satellite System (GNSS) can now be accessed from Android mobile phones (Version 7.0 onwards). This paves the way for GNSS data to be utilized for low-cost precise posit
Externí odkaz:
https://doaj.org/article/0ef9e516571d429498e0997500464f3a
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 21, Pp n/a-n/a (2023)
Abstract Global Navigation Satellite Systems (GNSS) are not only a state‐of‐the‐art sensor for positioning and navigation applications but also a valuable tool for remote sensing. Through the usage of L‐band carrier frequencies, GNSS acts as
Externí odkaz:
https://doaj.org/article/67d480bea3524cebb565f13de9ecdbe6
Autor:
Alireza Atabati, Iraj Jazireeyan, Mahdi Alizadeh, Mahmood Pirooznia, Jakob Flury, Harald Schuh, Benedikt Soja
Publikováno v:
Remote Sensing, Vol 15, Iss 24, p 5762 (2023)
Geomagnetic storms are one of the leading causes of ionospheric irregularities, depending on their intensity. The 6–10 September 2017 geomagnetic storm, the most severe geomagnetic event of the year, resulted from an X9 solar flare and a subsequent
Externí odkaz:
https://doaj.org/article/61f935ba2c3747f7a3cd4cfb4f4eb3d1
Autor:
Junyang Gou, Christine Rösch, Endrit Shehaj, Kangkang Chen, Mostafa Kiani Shahvandi, Benedikt Soja, Markus Rothacher
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5585 (2023)
The International GNSS Service analysis centers provide orbit products of GPS satellites with weekly, daily, and sub-daily latency. The most frequent ultra-rapid products, which include 24 h of orbits derived from observations and 24 h of orbit predi
Externí odkaz:
https://doaj.org/article/33eb9e0b38e54203851a1eaa9101337c
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3547 (2022)
Space weather describes varying conditions between the Sun and Earth that can degrade Global Navigation Satellite Systems (GNSS) operations. Thus, these effects should be precisely and timely corrected for accurate and reliable GNSS applications. Tha
Externí odkaz:
https://doaj.org/article/1b1d66b1e38f4befacd3e017fa2ef172
Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 17 (2021)
Long-term Global Navigation Satellite System (GNSS) height residual time series contain signals that are related to environmental influences. A big part of the residuals can be explained by environmental surface loadings, expressed through physical m
Externí odkaz:
https://doaj.org/article/e6d74f657070412bac0aa06feb43a62d
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3906 (2021)
Global navigation satellite systems (GNSS) provide globally distributed station coordinate time series that can be used for a variety of applications such as the definition of a terrestrial reference frame. A reliable estimation of the coordinate tim
Externí odkaz:
https://doaj.org/article/48525764f8194db09fab53e93e13931e