Advanced Global Navigation Satellite Systems tropospheric products for monitoring severe weather events and climate (GNSS4SWEC) (AMT/ACP/ANGEO inter-journal SI)(AMT/ACP/ANGEO inter-journal SI)
Advanced Global Navigation Satellite Systems tropospheric products for monitoring severe weather events and climate (GNSS4SWEC) (AMT/ACP/ANGEO inter-journal SI)(AMT/ACP/ANGEO inter-journal SI)
Editor(s): V. Kotroni, J. Jones, E. Pottiaux, O. Bock, R. Pacione, and R. Van Malderen Special issue jointly organized between Atmospheric Measurement Techniques, Atmospheric Chemistry and Physics, and Annales Geophysicae

Since 1990, signals from global positioning system (GPS) satellites have been recorded by networks worldwide. From these GPS observations the zenith total delay (ZTD) can be computed. Using surface measurements of pressure and temperature, these ZTD values can be turned into water vapour amount and used for atmospheric research. The main aim of the COST action ES1206 “Advanced Global Navigation Satellite Systems tropospheric products for monitoring severe weather events and climate” (GNSS4SWEC) is to coordinate the research and the development of new, advanced tropospheric products derived from GNSS signal delays, exploiting the full potential of multi-GNSS (GPS, GLONASS and Galileo) water vapour estimates on a wide range of temporal and spatial scales, from real-time monitoring and forecasting of severe weather to climate research. The potential impacts of this work are great: improved severe weather forecasting, leading to a decreased risk to life and national infrastructure; improvement of climate projections also has major global significance. In addition the action will promote the use of meteorological data in GNSS positioning, navigation, and timing services.

The main topics envisioned in the special issue include the following:

  • The development of advanced and new GNSS tropospheric products related to
    • multi-GNSS constellation signals for water vapour remote sensing,
    • water vapour anisotropy (horizontal gradients, satellite slant delays, tomography, etc.),
    • real-time/ultra-fast water vapour remote sensing in support of nowcasting ,
    • improvement of the temporal and spatial resolution capability of GNSS water vapour remote sensing.
  • The exploitation of these products in numerical weather prediction (NWP) and nowcasting, such as
    • the development of new initialization/assimilation methods in NWP,
    • the development of forecasting tools (water vapour maps, convective indexes, alarm systems, etc.) for nowcasting and severe weather events.
  • The assessment of these GNSS tropospheric products (see first point) derived from a common benchmark reference data set.
  • The assessment of the standardized methods/tools for NWP/nowcasting (see second point) based on the GNSS products built on the benchmark data set.
  • Exploiting re-analysed/reprocessed GNSS tropospheric products for climate studies:
    • comparison/assimilation in the regional/ global climate models,
    • comparisons with other in-situ, ground-based and satellite water vapour retrievals,
    • development and assessment of homogenization methods for GNSS-based product time series,
    • analysing the variability and trends in GNSS-based water vapour retrievals.
  • Establishment of new GNSS analysis centres for monitoring the atmosphere.

Submissions of papers dealing with broader GNSS4SWEC objectives are also encouraged:

  • synergy between GNSS and GNSS radio occultation (RO),
  • monitoring the other components of the hydrological cycle (soil moisture, snow cover, terrestrial water storage) with GNSS.

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10 Sep 2019
Assimilation of GNSS tomography products into the Weather Research and Forecasting model using radio occultation data assimilation operator
Natalia Hanna, Estera Trzcina, Gregor Möller, Witold Rohm, and Robert Weber
Atmos. Meas. Tech., 12, 4829–4848, https://doi.org/10.5194/amt-12-4829-2019,https://doi.org/10.5194/amt-12-4829-2019, 2019
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29 Jul 2019
Sensitivity of GPS tropospheric estimates to mesoscale convective systems in West Africa
Samuel Nahmani, Olivier Bock, and Françoise Guichard
Atmos. Chem. Phys., 19, 9541–9561, https://doi.org/10.5194/acp-19-9541-2019,https://doi.org/10.5194/acp-19-9541-2019, 2019
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24 Jul 2019
Consistency and representativeness of integrated water vapour from ground-based GPS observations and ERA-Interim reanalysis
Olivier Bock and Ana C. Parracho
Atmos. Chem. Phys., 19, 9453–9468, https://doi.org/10.5194/acp-19-9453-2019,https://doi.org/10.5194/acp-19-9453-2019, 2019
Short summary
12 Jul 2019
On the information content in linear horizontal delay gradients estimated from space geodesy observations
Gunnar Elgered, Tong Ning, Peter Forkman, and Rüdiger Haas
Atmos. Meas. Tech., 12, 3805–3823, https://doi.org/10.5194/amt-12-3805-2019,https://doi.org/10.5194/amt-12-3805-2019, 2019
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18 Jun 2019
Sensitivity of GNSS tropospheric gradients to processing options
Michal Kačmařík, Jan Douša, Florian Zus, Pavel Václavovic, Kyriakos Balidakis, Galina Dick, and Jens Wickert
Ann. Geophys., 37, 429–446, https://doi.org/10.5194/angeo-37-429-2019,https://doi.org/10.5194/angeo-37-429-2019, 2019
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12 Mar 2019
The use of GNSS zenith total delays in operational AROME/Hungary 3D-Var over a central European domain
Máté Mile, Patrik Benáček, and Szabolcs Rózsa
Atmos. Meas. Tech., 12, 1569–1579, https://doi.org/10.5194/amt-12-1569-2019,https://doi.org/10.5194/amt-12-1569-2019, 2019
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27 Feb 2019
Development of time-varying global gridded TsTm model for precise GPS–PWV retrieval
Peng Jiang, Shirong Ye, Yinhao Lu, Yanyan Liu, Dezhong Chen, and Yanlan Wu
Atmos. Meas. Tech., 12, 1233–1249, https://doi.org/10.5194/amt-12-1233-2019,https://doi.org/10.5194/amt-12-1233-2019, 2019
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01 Feb 2019
An improved pixel-based water vapor tomography model
Yibin Yao, Linyang Xin, and Qingzhi Zhao
Ann. Geophys., 37, 89–100, https://doi.org/10.5194/angeo-37-89-2019,https://doi.org/10.5194/angeo-37-89-2019, 2019
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18 Jan 2019
4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF
Witold Rohm, Jakub Guzikowski, Karina Wilgan, and Maciej Kryza
Atmos. Meas. Tech., 12, 345–361, https://doi.org/10.5194/amt-12-345-2019,https://doi.org/10.5194/amt-12-345-2019, 2019
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15 Jan 2019
Comparisons between the WRF data assimilation and the GNSS tomography technique in retrieving 3-D wet refractivity fields in Hong Kong
Zhaohui Xiong, Bao Zhang, and Yibin Yao
Ann. Geophys., 37, 25–36, https://doi.org/10.5194/angeo-37-25-2019,https://doi.org/10.5194/angeo-37-25-2019, 2019
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03 Jan 2019
Atmospheric bending effects in GNSS tomography
Gregor Möller and Daniel Landskron
Atmos. Meas. Tech., 12, 23–34, https://doi.org/10.5194/amt-12-23-2019,https://doi.org/10.5194/amt-12-23-2019, 2019
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15 Nov 2018
Global IWV trends and variability in atmospheric reanalyses and GPS observations
Ana C. Parracho, Olivier Bock, and Sophie Bastin
Atmos. Chem. Phys., 18, 16213–16237, https://doi.org/10.5194/acp-18-16213-2018,https://doi.org/10.5194/acp-18-16213-2018, 2018
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11 Sep 2018
Constructing a precipitable water vapor map from regional GNSS network observations without collocated meteorological data for weather forecasting
Biyan Chen, Wujiao Dai, Zhizhao Liu, Lixin Wu, Cuilin Kuang, and Minsi Ao
Atmos. Meas. Tech., 11, 5153–5166, https://doi.org/10.5194/amt-11-5153-2018,https://doi.org/10.5194/amt-11-5153-2018, 2018
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31 Jul 2018
An optimal tropospheric tomography approach with the support of an auxiliary area
Qingzhi Zhao, Yibin Yao, Wanqiang Yao, and Pengfei Xia
Ann. Geophys., 36, 1037–1046, https://doi.org/10.5194/angeo-36-1037-2018,https://doi.org/10.5194/angeo-36-1037-2018, 2018
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19 Jun 2018
A new approach for GNSS tomography from a few GNSS stations
Nan Ding, Shubi Zhang, Suqin Wu, Xiaoming Wang, Allison Kealy, and Kefei Zhang
Atmos. Meas. Tech., 11, 3511–3522, https://doi.org/10.5194/amt-11-3511-2018,https://doi.org/10.5194/amt-11-3511-2018, 2018
18 May 2018
Comparison of total water vapour content in the Arctic derived from GNSS, AIRS, MODIS and SCIAMACHY
Dunya Alraddawi, Alain Sarkissian, Philippe Keckhut, Olivier Bock, Stefan Noël, Slimane Bekki, Abdenour Irbah, Mustapha Meftah, and Chantal Claud
Atmos. Meas. Tech., 11, 2949–2965, https://doi.org/10.5194/amt-11-2949-2018,https://doi.org/10.5194/amt-11-2949-2018, 2018
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08 Mar 2018
Reduction of ZTD outliers through improved GNSS data processing and screening strategies
Katarzyna Stepniak, Olivier Bock, and Pawel Wielgosz
Atmos. Meas. Tech., 11, 1347–1361, https://doi.org/10.5194/amt-11-1347-2018,https://doi.org/10.5194/amt-11-1347-2018, 2018
24 Nov 2017
Data assimilation of GNSS zenith total delays from a Nordic processing centre
Magnus Lindskog, Martin Ridal, Sigurdur Thorsteinsson, and Tong Ning
Atmos. Chem. Phys., 17, 13983–13998, https://doi.org/10.5194/acp-17-13983-2017,https://doi.org/10.5194/acp-17-13983-2017, 2017
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01 Nov 2017
Precipitable water characteristics during the 2013 Colorado flood using ground-based GPS measurements
Hannah K. Huelsing, Junhong Wang, Carl Mears, and John J. Braun
Atmos. Meas. Tech., 10, 4055–4066, https://doi.org/10.5194/amt-10-4055-2017,https://doi.org/10.5194/amt-10-4055-2017, 2017
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29 Sep 2017
Tropospheric products of the second GOP European GNSS reprocessing (1996–2014)
Jan Dousa, Pavel Vaclavovic, and Michal Elias
Atmos. Meas. Tech., 10, 3589–3607, https://doi.org/10.5194/amt-10-3589-2017,https://doi.org/10.5194/amt-10-3589-2017, 2017
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07 Aug 2017
Determination of zenith hydrostatic delay and its impact on GNSS-derived integrated water vapor
Xiaoming Wang, Kefei Zhang, Suqin Wu, Changyong He, Yingyan Cheng, and Xingxing Li
Atmos. Meas. Tech., 10, 2807–2820, https://doi.org/10.5194/amt-10-2807-2017,https://doi.org/10.5194/amt-10-2807-2017, 2017
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12 Jun 2017
Inter-technique validation of tropospheric slant total delays
Michal Kačmařík, Jan Douša, Galina Dick, Florian Zus, Hugues Brenot, Gregor Möller, Eric Pottiaux, Jan Kapłon, Paweł Hordyniec, Pavel Václavovic, and Laurent Morel
Atmos. Meas. Tech., 10, 2183–2208, https://doi.org/10.5194/amt-10-2183-2017,https://doi.org/10.5194/amt-10-2183-2017, 2017
07 Jun 2017
A new voxel-based model for the determination of atmospheric weighted mean temperature in GPS atmospheric sounding
Changyong He, Suqin Wu, Xiaoming Wang, Andong Hu, Qianxin Wang, and Kefei Zhang
Atmos. Meas. Tech., 10, 2045–2060, https://doi.org/10.5194/amt-10-2045-2017,https://doi.org/10.5194/amt-10-2045-2017, 2017
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05 May 2017
EPN-Repro2: A reference GNSS tropospheric data set over Europe
Rosa Pacione, Andrzej Araszkiewicz, Elmar Brockmann, and Jan Dousa
Atmos. Meas. Tech., 10, 1689–1705, https://doi.org/10.5194/amt-10-1689-2017,https://doi.org/10.5194/amt-10-1689-2017, 2017
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14 Feb 2017
Combining Meteosat-10 satellite image data with GPS tropospheric path delays to estimate regional integrated water vapor (IWV) distribution
Anton Leontiev and Yuval Reuveni
Atmos. Meas. Tech., 10, 537–548, https://doi.org/10.5194/amt-10-537-2017,https://doi.org/10.5194/amt-10-537-2017, 2017
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13 Dec 2016
Tropospheric delay parameters from numerical weather models for multi-GNSS precise positioning
Cuixian Lu, Florian Zus, Maorong Ge, Robert Heinkelmann, Galina Dick, Jens Wickert, and Harald Schuh
Atmos. Meas. Tech., 9, 5965–5973, https://doi.org/10.5194/amt-9-5965-2016,https://doi.org/10.5194/amt-9-5965-2016, 2016
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08 Nov 2016
Review of the state of the art and future prospects of the ground-based GNSS meteorology in Europe
Guergana Guerova, Jonathan Jones, Jan Douša, Galina Dick, Siebren de Haan, Eric Pottiaux, Olivier Bock, Rosa Pacione, Gunnar Elgered, Henrik Vedel, and Michael Bender
Atmos. Meas. Tech., 9, 5385–5406, https://doi.org/10.5194/amt-9-5385-2016,https://doi.org/10.5194/amt-9-5385-2016, 2016
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29 Sep 2016
Comparison of GPS tropospheric delays derived from two consecutive EPN reprocessing campaigns from the point of view of climate monitoring
Zofia Baldysz, Grzegorz Nykiel, Andrzej Araszkiewicz, Mariusz Figurski, and Karolina Szafranek
Atmos. Meas. Tech., 9, 4861–4877, https://doi.org/10.5194/amt-9-4861-2016,https://doi.org/10.5194/amt-9-4861-2016, 2016
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14 Jul 2016
Benchmark campaign and case study episode in central Europe for development and assessment of advanced GNSS tropospheric models and products
Jan Douša, Galina Dick, Michal Kačmařík, Radmila Brožková, Florian Zus, Hugues Brenot, Anastasia Stoycheva, Gregor Möller, and Jan Kaplon
Atmos. Meas. Tech., 9, 2989–3008, https://doi.org/10.5194/amt-9-2989-2016,https://doi.org/10.5194/amt-9-2989-2016, 2016
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18 Jan 2016
The uncertainty of the atmospheric integrated water vapour estimated from GNSS observations
T. Ning, J. Wang, G. Elgered, G. Dick, J. Wickert, M. Bradke, M. Sommer, R. Querel, and D. Smale
Atmos. Meas. Tech., 9, 79–92, https://doi.org/10.5194/amt-9-79-2016,https://doi.org/10.5194/amt-9-79-2016, 2016
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21 Aug 2014
The Sofia University Atmospheric Data Archive (SUADA)
G. Guerova, T. Simeonov, and N. Yordanova
Atmos. Meas. Tech., 7, 2683–2694, https://doi.org/10.5194/amt-7-2683-2014,https://doi.org/10.5194/amt-7-2683-2014, 2014
13 Aug 2014
A multi-site intercomparison of integrated water vapour observations for climate change analysis
R. Van Malderen, H. Brenot, E. Pottiaux, S. Beirle, C. Hermans, M. De Mazière, T. Wagner, H. De Backer, and C. Bruyninx
Atmos. Meas. Tech., 7, 2487–2512, https://doi.org/10.5194/amt-7-2487-2014,https://doi.org/10.5194/amt-7-2487-2014, 2014
27 May 2014
Limited constraint, robust Kalman filtering for GNSS troposphere tomography
W. Rohm, K. Zhang, and J. Bosy
Atmos. Meas. Tech., 7, 1475–1486, https://doi.org/10.5194/amt-7-1475-2014,https://doi.org/10.5194/amt-7-1475-2014, 2014
19 Feb 2014
A GPS network for tropospheric tomography in the framework of the Mediterranean hydrometeorological observatory Cévennes-Vivarais (southeastern France)
H. Brenot, A. Walpersdorf, M. Reverdy, J. van Baelen, V. Ducrocq, C. Champollion, F. Masson, E. Doerflinger, P. Collard, and P. Giroux
Atmos. Meas. Tech., 7, 553–578, https://doi.org/10.5194/amt-7-553-2014,https://doi.org/10.5194/amt-7-553-2014, 2014
27 Sep 2012
Near real-time estimation of water vapour in the troposphere using ground GNSS and the meteorological data
J. Bosy, J. Kaplon, W. Rohm, J. Sierny, and T. Hadas
Ann. Geophys., 30, 1379–1391, https://doi.org/10.5194/angeo-30-1379-2012,https://doi.org/10.5194/angeo-30-1379-2012, 2012
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