Articles | Volume 37, issue 3
https://doi.org/10.5194/angeo-37-429-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/angeo-37-429-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Regular paper
| 
18 Jun 2019
Regular paper |
| 18 Jun 2019
| 18 Jun 2019
Sensitivity of GNSS tropospheric gradients to processing options
Michal Kačmařík
CORRESPONDING AUTHOR
Department of Geoinformatics, VŠB – Technical University of
Ostrava, Ostrava, Czech Republic
Jan Douša
Geodetic Observatory Pecný, Research Institute of Geodesy,
Topography and Cartography, Zdiby, Czech Republic
Florian Zus
GFZ German Research Centre for Geosciences, Potsdam, Germany
Pavel Václavovic
Geodetic Observatory Pecný, Research Institute of Geodesy,
Topography and Cartography, Zdiby, Czech Republic
Kyriakos Balidakis
GFZ German Research Centre for Geosciences, Potsdam, Germany
Galina Dick
GFZ German Research Centre for Geosciences, Potsdam, Germany
Jens Wickert
GFZ German Research Centre for Geosciences, Potsdam, Germany
Institute of Geodesy and Geoinformation Science, Technical University
of Berlin, Berlin, Germany
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Cited
27 citations as recorded by crossref.
- Improving PPP positioning and troposphere estimates using an azimuth-dependent weighting scheme S. He et al. https://doi.org/10.1007/s10291-024-01754-z
- Fast Observation Operator for Global Navigation Satellite System Tropospheric Gradients F. Zus et al. https://doi.org/10.3390/rs15215114
- Towards Millimeter-Level Accuracy in GNSS-Based Space Geodesy: A Review of Error Budget for GNSS Precise Point Positioning X. Li et al. https://doi.org/10.1007/s10712-023-09785-w
- Analysis on the Impacts of Slant Tropospheric Delays on Precise Point Positioning C. Xiong et al. https://doi.org/10.3390/app9224884
- Combined Space- and Ground-Based GNSS Monitoring of Two Severe Hailstorm Cases in Bulgaria E. Lasota et al. https://doi.org/10.1175/JTECH-D-21-0100.1
- Assimilation of global navigation satellite system (GNSS) zenith delays and tropospheric gradients: a sensitivity study utilizing sparse and dense station networks R. Thundathil et al. https://doi.org/10.5194/amt-18-4907-2025
- High-temporal-resolution wet delay gradients estimated from multi-GNSS and microwave radiometer observations T. Ning & G. Elgered https://doi.org/10.5194/amt-14-5593-2021
- On the information content in linear horizontal delay gradients estimated from space geodesy observations G. Elgered et al. https://doi.org/10.5194/amt-12-3805-2019
- Rapid troposphere tomography using adaptive simultaneous iterative reconstruction technique W. Zhang et al. https://doi.org/10.1007/s00190-020-01386-4
- Water-Vapour Monitoring from Ground-Based GNSS Observations in Northwestern Argentina N. Antonoglou et al. https://doi.org/10.3390/rs14215427
- Tropospheric parameters from multi-GNSS and numerical weather models: case study of severe precipitation and flooding in Germany in July 2021 K. Wilgan et al. https://doi.org/10.1007/s10291-022-01379-0
- Investigation and Analysis of Spatiotemporal Instability of the Earth’s Atmosphere Based on Real-Time GNSS Data Processing N. Kablak et al. https://doi.org/10.3103/S0884591320040042
- Investigation and analysis of spatial-temporal instability of an atmosphere based on the operational processing GNSS data N. Kablak et al. https://doi.org/10.15407/kfnt2020.04.073
- Retrieval of tropospheric delays from multi-GNSS observations in the polar region: effect factors and performance W. Li & C. Li https://doi.org/10.1088/1361-6501/acf77e
- Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1 R. Thundathil et al. https://doi.org/10.5194/gmd-17-3599-2024
- Performance Evaluation of Troposphere Estimated from Galileo-Only Multi-Frequency Observations L. Zhao et al. https://doi.org/10.3390/rs12030373
- Ionospheric and Neutrosphere Impacts on Multi-GNSS Kinematic PPP During Geomagnetic Storms: A Global Study J. Zaupa et al. https://doi.org/10.3390/s26134037
- European GNSS troposphere monitoring for meteorological applications J. Douša et al. https://doi.org/10.1088/1755-1315/906/1/012058
- Atmospheric horizontal gradients measured with eight co-located GNSS stations and a microwave radiometer T. Ning & G. Elgered https://doi.org/10.5194/amt-18-2069-2025
- Towards operational multi-GNSS tropospheric products at GFZ Potsdam K. Wilgan et al. https://doi.org/10.5194/amt-15-21-2022
- Assessment of GNSS stations using atmospheric horizontal gradients and microwave radiometry G. Elgered et al. https://doi.org/10.1016/j.asr.2023.05.010
- The impact of tropospheric mapping function on PPP determination for one-month period S. Nistor https://doi.org/10.13168/AGG.2020.0018
- On the quality of tropospheric estimates from low-cost GNSS receiver data processing K. Stępniak & J. Paziewski https://doi.org/10.1016/j.measurement.2022.111350
- Sensitivity of Shipborne GNSS Estimates to Processing Modeling Based on Simulated Dataset A. Panetier et al. https://doi.org/10.3390/s23146605
- Analysis of GNSS Precipitable Water Vapor and Its Gradients During a Rainstorm in North China in July 2023 H. Su et al. https://doi.org/10.3390/rs17183247
- Simulation Analysis of LEO Constellation Augmented GNSS (LeGNSS) Zenith Troposphere Delay and Gradients Estimation P. Zhang et al. https://doi.org/10.1109/TGRS.2023.3241956
- Considering different recent advancements in GNSS on real-time zenith troposphere estimates T. Hadas et al. https://doi.org/10.1007/s10291-020-01014-w
27 citations as recorded by crossref.
- Improving PPP positioning and troposphere estimates using an azimuth-dependent weighting scheme S. He et al. https://doi.org/10.1007/s10291-024-01754-z
- Fast Observation Operator for Global Navigation Satellite System Tropospheric Gradients F. Zus et al. https://doi.org/10.3390/rs15215114
- Towards Millimeter-Level Accuracy in GNSS-Based Space Geodesy: A Review of Error Budget for GNSS Precise Point Positioning X. Li et al. https://doi.org/10.1007/s10712-023-09785-w
- Analysis on the Impacts of Slant Tropospheric Delays on Precise Point Positioning C. Xiong et al. https://doi.org/10.3390/app9224884
- Combined Space- and Ground-Based GNSS Monitoring of Two Severe Hailstorm Cases in Bulgaria E. Lasota et al. https://doi.org/10.1175/JTECH-D-21-0100.1
- Assimilation of global navigation satellite system (GNSS) zenith delays and tropospheric gradients: a sensitivity study utilizing sparse and dense station networks R. Thundathil et al. https://doi.org/10.5194/amt-18-4907-2025
- High-temporal-resolution wet delay gradients estimated from multi-GNSS and microwave radiometer observations T. Ning & G. Elgered https://doi.org/10.5194/amt-14-5593-2021
- On the information content in linear horizontal delay gradients estimated from space geodesy observations G. Elgered et al. https://doi.org/10.5194/amt-12-3805-2019
- Rapid troposphere tomography using adaptive simultaneous iterative reconstruction technique W. Zhang et al. https://doi.org/10.1007/s00190-020-01386-4
- Water-Vapour Monitoring from Ground-Based GNSS Observations in Northwestern Argentina N. Antonoglou et al. https://doi.org/10.3390/rs14215427
- Tropospheric parameters from multi-GNSS and numerical weather models: case study of severe precipitation and flooding in Germany in July 2021 K. Wilgan et al. https://doi.org/10.1007/s10291-022-01379-0
- Investigation and Analysis of Spatiotemporal Instability of the Earth’s Atmosphere Based on Real-Time GNSS Data Processing N. Kablak et al. https://doi.org/10.3103/S0884591320040042
- Investigation and analysis of spatial-temporal instability of an atmosphere based on the operational processing GNSS data N. Kablak et al. https://doi.org/10.15407/kfnt2020.04.073
- Retrieval of tropospheric delays from multi-GNSS observations in the polar region: effect factors and performance W. Li & C. Li https://doi.org/10.1088/1361-6501/acf77e
- Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1 R. Thundathil et al. https://doi.org/10.5194/gmd-17-3599-2024
- Performance Evaluation of Troposphere Estimated from Galileo-Only Multi-Frequency Observations L. Zhao et al. https://doi.org/10.3390/rs12030373
- Ionospheric and Neutrosphere Impacts on Multi-GNSS Kinematic PPP During Geomagnetic Storms: A Global Study J. Zaupa et al. https://doi.org/10.3390/s26134037
- European GNSS troposphere monitoring for meteorological applications J. Douša et al. https://doi.org/10.1088/1755-1315/906/1/012058
- Atmospheric horizontal gradients measured with eight co-located GNSS stations and a microwave radiometer T. Ning & G. Elgered https://doi.org/10.5194/amt-18-2069-2025
- Towards operational multi-GNSS tropospheric products at GFZ Potsdam K. Wilgan et al. https://doi.org/10.5194/amt-15-21-2022
- Assessment of GNSS stations using atmospheric horizontal gradients and microwave radiometry G. Elgered et al. https://doi.org/10.1016/j.asr.2023.05.010
- The impact of tropospheric mapping function on PPP determination for one-month period S. Nistor https://doi.org/10.13168/AGG.2020.0018
- On the quality of tropospheric estimates from low-cost GNSS receiver data processing K. Stępniak & J. Paziewski https://doi.org/10.1016/j.measurement.2022.111350
- Sensitivity of Shipborne GNSS Estimates to Processing Modeling Based on Simulated Dataset A. Panetier et al. https://doi.org/10.3390/s23146605
- Analysis of GNSS Precipitable Water Vapor and Its Gradients During a Rainstorm in North China in July 2023 H. Su et al. https://doi.org/10.3390/rs17183247
- Simulation Analysis of LEO Constellation Augmented GNSS (LeGNSS) Zenith Troposphere Delay and Gradients Estimation P. Zhang et al. https://doi.org/10.1109/TGRS.2023.3241956
- Considering different recent advancements in GNSS on real-time zenith troposphere estimates T. Hadas et al. https://doi.org/10.1007/s10291-020-01014-w
Saved (final revised paper)
Latest update: 04 Sep 2026
Short summary
We provide an analysis of processing setting impacts on tropospheric gradients estimated from GNSS observation processing. These tropospheric gradients are related to water vapour distribution in the troposphere and therefore can be helpful in meteorological applications.
We provide an analysis of processing setting impacts on tropospheric gradients estimated from...
