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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/amt-2018-433
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2018-433
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Dec 2018

Research article | 20 Dec 2018

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This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

The use of GNSS zenith total delays in operational AROME/Hungary 3D-Var over a Central European domain

Máté Mile1,2, Patrik Benáček3, and Szabolcs Rózsa4 Máté Mile et al.
  • 1Hungarian Meteorological Service, Unit of Methodology Development, Budapest, Hungary
  • 2Norwegian Meteorological Institute, Development Centre for Weather Forecasting, Oslo, Norway
  • 3Czech Hydrometeorological Institute, Numerical Weather Prediction Department, Prague, Czech Republic
  • 4Budapest University of Technology and Economics, Department of Geodesy and Surveying, Hungary

Abstract. The delay of satellite signals broadcasted by Global Navigation Satellite System (GNSS) provides unique atmospheric observation which endorses numerial weather prediction from global to limited-area models. Due to the possibility of its frequent and near real-time estimation, the zenith total delays (ZTD) are valuable information for any state-of-the-art data assimilation systems. This article introduces the data assimilation of ZTDs in a Hungarian numerical weather prediction system which was carried out taking into account observations from Central-European GNSS analysis and processing centres. The importance of ZTD observations is described and showed by a diagnostic tool in the three hourly updated 3D-Var variational assimilation scheme. Furthermore, observing system experiments are done to evaluate the impact of GNSS ZTDs on mesoscale limited-area forecasts. The results of the use of GNSS ZTDs showed a clear added value to improve screen-level temperature and humidity forecasts when bias is accurately estimated and corrected in the data assimilation scheme. The importance of variational i.e. adaptive bias correction is highlighted by verification scores compared to static bias correction. Moreover, this paper reviews the quality control of GNSS ground-based stations inside the Central-European domain, the calculation of optimal thinning distance and the preparation of two above mentioned bias correction methods. At the end of this article, the conclusion is drawn about different settings of the forecast and analysis experiments with a brief future outlook.

Máté Mile et al.
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The delay of satellite signals from Global Navigation Satellite System is valuable for numerical weather prediction giving useful information about atmospheric constituents . The so called zenith total delay observations can help to better estimate the initial state of atmospheric analyses and to improve numerical weather forecasts. This study introduces the importance of GNSS zenith total delays, the detailed observation pre-processing method, and weather forecast trials.
The delay of satellite signals from Global Navigation Satellite System is valuable for numerical...
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