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Volume 17, issue 22 | Copyright

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

Atmos. Chem. Phys., 17, 13983-13998, 2017
https://doi.org/10.5194/acp-17-13983-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 24 Nov 2017

Research article | 24 Nov 2017

Data assimilation of GNSS zenith total delays from a Nordic processing centre

Magnus Lindskog et al.
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Cited articles
Bennitt, G. V. and Jupp, A.: Operational assimilation of GPS Zenith Total Delay Observations into the Met Office numerical weather prediction models, Mon. Weather Rev., 140, 2706–2719, 2012.
Benjamin, S. G., Jamison, B. D., Moninger, W. R., Sahm, S. R., Schwartz, B. E., and Schlatter, T. W.: Relative short-range forecast impact from aircraft, profiler, radiosonde, VAD, GPS-PW, METAR and mesonet observations via the RUC hourly assimilation cycle, Mon. Weather Rev., 138, 1319–1343, 2010.
Berre, L.: Estimation of synoptic and meso scale forecast error covariances in a limited area model, Mon. Weather Rev., 128, 644–667, 2000.
Bertiger, W., Desai, S., Haines, B., Harvey, N., Moore, A., Owen, S., and Weiss, J.: Single receiver phase ambiguity resolution with GPS data, 84, 327–337, https://doi.org/10.1007/s00190-010-0371-9, 2010.
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Short summary
Atmospheric moisture-related information obtained from Global Navigation Satellite System (GNSS) observations from ground-based receiver stations of the Nordic GNSS Analysis Centre (NGAA) has been used within a state-of-the-art kilometre-scale numerical weather prediction system. The sensitivity of results to aspects of the data processing, observation density, bias-correction and data assimilation has been investigated. Results show a benefit on forecast quality of using GNSS ZTD.
Atmospheric moisture-related information obtained from Global Navigation Satellite System (GNSS)...
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