Articles | Volume 10, issue 9
https://doi.org/10.5194/amt-10-3589-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-10-3589-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Sep 2017
Research article |
| 29 Sep 2017
Tropospheric products of the second GOP European GNSS reprocessing (1996–2014)
NTIS – New Technologies for the Information Society, Geodetic Observatory Pecný, RIGTC, 250 66 Zdiby, Czech Republic
Pavel Vaclavovic
NTIS – New Technologies for the Information Society, Geodetic Observatory Pecný, RIGTC, 250 66 Zdiby, Czech Republic
Michal Elias
NTIS – New Technologies for the Information Society, Geodetic Observatory Pecný, RIGTC, 250 66 Zdiby, Czech Republic
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- A novel regional tropospheric delay prediction model based on spatial clustering and gradient boosting algorithms A. Akar & C. Inal https://doi.org/10.1007/s00190-026-02077-2
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- A global GNSS climate data record from 5085 stations spanning up to 22 years X. Wang et al. https://doi.org/10.5194/essd-17-5951-2025
23 citations as recorded by crossref.
- A two-stage tropospheric correction model combining data from GNSS and numerical weather model J. Douša et al. https://doi.org/10.1007/s10291-018-0742-x
- Sensitivity of GNSS tropospheric gradients to processing options M. Kačmařík et al. https://doi.org/10.5194/angeo-37-429-2019
- On the relation between GPS tropospheric gradients and the local topography L. Morel et al. https://doi.org/10.1016/j.asr.2021.04.008
- Impact analysis of processing strategies for long-term GPS zenith tropospheric delay (ZTD) J. Bai et al. https://doi.org/10.5194/amt-16-5249-2023
- Comparison of total water vapour content in the Arctic derived from GNSS, AIRS, MODIS and SCIAMACHY D. Alraddawi et al. https://doi.org/10.5194/amt-11-2949-2018
- Non-Tidal Mass Variations in the IGS Second Reprocessing Campaign: Interpretations and Noise Analysis from GRACE and Geophysical Models L. Deng et al. https://doi.org/10.3390/rs12152477
- GNSS assessment of sentinel-3A ECMWF tropospheric delays over inland waters C. Pearson et al. https://doi.org/10.1016/j.asr.2020.07.033
- Outliers and uncertainties in GNSS ZTD estimates from double-difference processing and precise point positioning K. Stępniak et al. https://doi.org/10.1007/s10291-022-01261-z
- Sensitivity of Shipborne GNSS Estimates to Processing Modeling Based on Simulated Dataset A. Panetier et al. https://doi.org/10.3390/s23146605
- Improving GNSS Zenith Wet Delay Interpolation by Utilizing Tropospheric Gradients: Experiments with a Dense Station Network in Central Europe in the Warm Season F. Zus et al. https://doi.org/10.3390/rs11060674
- Investigating temporal and spatial patterns in the stochastic component of ZTD time series over Europe A. Klos et al. https://doi.org/10.1007/s10291-022-01351-y
- Altimetry for the future: Building on 25 years of progress S. Abdalla et al. https://doi.org/10.1016/j.asr.2021.01.022
- Towards operational multi-GNSS tropospheric products at GFZ Potsdam K. Wilgan et al. https://doi.org/10.5194/amt-15-21-2022
- Estimating the Impact of Global Navigation Satellite System Horizontal Delay Gradients in Variational Data Assimilation F. Zus et al. https://doi.org/10.3390/rs11010041
- Trend estimation of zenith total delays at IGS stations by using nonparametric methods C. Beşel & E. Tanır Kayıkçı https://doi.org/10.1007/s12517-019-4609-4
- Reduction of ZTD outliers through improved GNSS data processing and screening strategies K. Stepniak et al. https://doi.org/10.5194/amt-11-1347-2018
- Interpretation of the Tropospheric Gradients Estimated With GPS During Hurricane Harvey V. Graffigna et al. https://doi.org/10.1029/2018EA000527
- A novel regional tropospheric delay prediction model based on spatial clustering and gradient boosting algorithms A. Akar & C. Inal https://doi.org/10.1007/s00190-026-02077-2
- EPN-Repro2: A reference GNSS tropospheric data set over Europe R. Pacione et al. https://doi.org/10.5194/amt-10-1689-2017
- Exploring the troposphere with GNSS: Advances in modeling, monitoring, and applications C. Lu et al. https://doi.org/10.1016/j.earscirev.2026.105610
- Assessment of the Impact of GNSS Processing Strategies on the Long-Term Parameters of 20 Years IWV Time Series Z. Baldysz et al. https://doi.org/10.3390/rs10040496
- 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
- A global GNSS climate data record from 5085 stations spanning up to 22 years X. Wang et al. https://doi.org/10.5194/essd-17-5951-2025
Saved (final revised paper)
Latest update: 04 Sep 2026
Short summary
The second GOP reprocessing of EUREF network (1996 to 2014) produced GNSS tropospheric parameters for climate research. We performed and evaluated seven solutions and enhanced a strategy for the continuity of tropospheric parameters. Compared with Repro1, Repro2 yielded improvements of 50 % and 25 % in repeatability of horizontal and vertical coordinates and 9 % in tropospheric parameters. Tropospheric gradients revealed a strong sensitivity to GNSS tracking demonstrated at Mallorca station.
The second GOP reprocessing of EUREF network (1996 to 2014) produced GNSS tropospheric...
