Benchmark campaign and case study episode in central Europe for development
and assessment of advanced GNSS tropospheric models and products

Douša, Jan; Dick, Galina; Kačmařík, Michal; Brožková, Radmila; Zus, Florian; Brenot, Hugues; Stoycheva, Anastasia; Möller, Gregor; Kaplon, Jan

doi:https://doi.org/10.5194/amt-9-2989-2016

Articles | Volume 9, issue 7

https://doi.org/10.5194/amt-9-2989-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Advanced Global Navigation Satellite Systems tropospheric...

https://doi.org/10.5194/amt-9-2989-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 7

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, Galina Dick, Michal Kačmařík, Radmila Brožková, Florian Zus, Hugues Brenot, Anastasia Stoycheva, Gregor Möller, and Jan Kaplon

Download

Final revised paper (published on 14 Jul 2016)
Preprint (discussion started on 18 Jan 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Reviewer comments', Anonymous Referee #1, 17 Mar 2016
- AC1: 'Replies to Rewier comments', Jan Dousa, 29 Apr 2016
RC2: 'Recommendation', Anonymous Referee #2, 18 Mar 2016
- AC2: 'Replies to Rewier comments', Jan Dousa, 29 Apr 2016
RC3: 'Reviewer's Comment', Anonymous Referee #3, 23 Mar 2016
- AC3: 'Replies to Rewier comments', Jan Dousa, 29 Apr 2016

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.