Articles | Volume 9, issue 7
Atmos. Meas. Tech., 9, 2989–3008, 2016
https://doi.org/10.5194/amt-9-2989-2016

Special issue: Advanced Global Navigation Satellite Systems tropospheric...

Atmos. Meas. Tech., 9, 2989–3008, 2016
https://doi.org/10.5194/amt-9-2989-2016
Research article
14 Jul 2016
Research article | 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 et al.

Related authors

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
Short summary
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
Short summary
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
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
Short summary
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
Short summary

Related subject area

Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
Quality control and error assessment of the Aeolus L2B wind results from the Joint Aeolus Tropical Atlantic Campaign
Oliver Lux, Benjamin Witschas, Alexander Geiß, Christian Lemmerz, Fabian Weiler, Uwe Marksteiner, Stephan Rahm, Andreas Schäfler, and Oliver Reitebuch
Atmos. Meas. Tech., 15, 6467–6488, https://doi.org/10.5194/amt-15-6467-2022,https://doi.org/10.5194/amt-15-6467-2022, 2022
Short summary
Long-distance propagation of 162 MHz shipping information links associated with sporadic E
Alex T. Chartier, Thomas R. Hanley, and Daniel J. Emmons
Atmos. Meas. Tech., 15, 6387–6393, https://doi.org/10.5194/amt-15-6387-2022,https://doi.org/10.5194/amt-15-6387-2022, 2022
Short summary
Estimation of refractivity uncertainties and vertical error correlations in collocated radio occultations, radiosondes, and model forecasts
Johannes K. Nielsen, Hans Gleisner, Stig Syndergaard, and Kent B. Lauritsen
Atmos. Meas. Tech., 15, 6243–6256, https://doi.org/10.5194/amt-15-6243-2022,https://doi.org/10.5194/amt-15-6243-2022, 2022
Short summary
DeepPrecip: a deep neural network for precipitation retrievals
Fraser King, George Duffy, Lisa Milani, Christopher G. Fletcher, Claire Pettersen, and Kerstin Ebell
Atmos. Meas. Tech., 15, 6035–6050, https://doi.org/10.5194/amt-15-6035-2022,https://doi.org/10.5194/amt-15-6035-2022, 2022
Short summary
Machine learning-based prediction of Alpine foehn events using GNSS troposphere products: first results for Altdorf, Switzerland
Matthias Aichinger-Rosenberger, Elmar Brockmann, Laura Crocetti, Benedikt Soja, and Gregor Moeller
Atmos. Meas. Tech., 15, 5821–5839, https://doi.org/10.5194/amt-15-5821-2022,https://doi.org/10.5194/amt-15-5821-2022, 2022
Short summary

Cited articles

Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, 2015.
Bevis, M., Businger, S., Herring, T. A., Rocken C., Anthes, R. A., and Ware, R. H.: GPS Meteorology: Remote Sensing of Atmospheric Water Vapour Using the Global Positioning System, J. Geophys. Res., 97, 15787–15801, 1992.
Bevis, M., Businger, S., Chiswell, S., Herring, T. A., Anthes, R. A., Rocken C, and Ware, R. H.: GPS Meteorology: Mapping Zenith Wet Delays onto Precipitable Water, J. Appl. Meteorol., 33, 379–386, 1994.
Boehm, J., Werl, B., and Schuh, H.: Troposphere mapping functions for GPS and very long baseline interferometry from European Centre for Medium-Range Weather Forecasts operational analysis data, J. Geophys. Res., 111, B02406, https://doi.org/10.1029/2005JB003629, 2006.
Brenot, H., Ducrocq, V., Walpersdorf, A., Champollion, C., and Caumont, O.: GPS zenith delay sensitivity evaluated from high-resolution numerical weather prediction simulations of the 8–9 September 2002 flash flood over southeastern France, J. Geophys. Res., 111, D15105, https://doi.org/10.1029/2004JD005726, 2006.
Download
Short summary
GNSS products provide observations of atmospheric water vapour. Advanced tropospheric products focus on ultra-fast and high-resolution zenith total delays (ZTDs), horizontal gradients and slant delays, all suitable for rapid-cycle numerical weather prediction (NWP) and severe weather event monitoring. The GNSS4SWEC Benchmark provides a complex data set for developing and assessing these products, with initial focus on reference ZTDs and gradients derived from several NWP and dense GNSS networks.