An assessment of the quality of near-real time GNSS observations as a potential data source for meteorology

• Autorzy: Dymarska N. , Rohm W. , Sierny J. , Kapłon J. , Kubik T. , Kryza M. , Jutarski J. , Gierczak J. , Kosierb R.
• Języki publikacji: EN

Abstrakty

EN

The Global Navigation Satellite System (GNSS) can be used to determine accurate and high-frequency atmospheric parameters, such as Zenith Total Delay (ZTD) or Precipitable Water Vapour (PW), in all-weather conditions. These parameters are often assimilated into Numerical Weather Prediction (NWP) models and used for nowcasting services and climate studies. The effective usage of the ZTDs obtained from a ground-based GNSS receiver’s network in a NWP could fill the gap of insufficient atmospheric water vapour state information. The supply of such information with a latency acceptable for NWP assimilation schemes requires special measures in the GNSS data processing, quality control and distribution. This study is a detailed description of the joint effort of three institutions – Wrocław University of Environmental and Life Sciences, Wrocław University, and the Institute of Meteorology and Water Management – to provide accurate and timely GNSS-based meteorological information. This paper presents accuracy analyses of near real-time GNSS ZTD validated against reference ZTD data: the International GNSS Service (IGS) from a precise GNSS solution, Weather Research and Forecasting (WRF) model, and radiosonde profiles. Data quality statistics were performed for five GNSS stations in Poland over a time span of almost a year (2015). The comparison of near real-time ZTD and IGS shows a mean ZTD station bias of less than 3 mm with a related standard deviation of less than 10 mm. The bias between near real-time ZTD and WRF ZTD is in the range of 5-11 mm and the overall standard deviation is slightly higher than 10 mm. Finally, the comparison of the investigated ZTD against radiosonde showed an average bias at a level of 10 mm, whereas the standard deviation does not exceed 14 mm. Considering the data quality, we assess that the NRT ZTD can be assimilated into NWP models.

Słowa kluczowe

EN

ZTD estimation; data validation; GNSS meteorology

• Wydawca: Instytut Meteorologii i Gospodarki Wodnej - Państwowy Instytut Badawczy
• Czasopismo: Meteorology Hydrology and Water Management. Research and Operational Applications
• Rocznik: 2017
• Tom: Vol. 5, Iss. 1
• Strony: 3--13
• Opis fizyczny: Bibliogr. 40 poz., tab., wykr.

Twórcy

autor

Dymarska N.

• University of Environmental and Life Sciences, Institute of Geodesy and Geoinformatics, Grunwaldzka 53, 50-357 Wrocław, Poland

autor

Rohm W.

• University of Environmental and Life Sciences, Institute of Geodesy and Geoinformatics, Grunwaldzka 53, 50-357 Wrocław, Poland

autor

Sierny J.

• University of Environmental and Life Sciences, Institute of Geodesy and Geoinformatics, Grunwaldzka 53, 50-357 Wrocław, Poland

autor

Kapłon J.

• University of Environmental and Life Sciences, Institute of Geodesy and Geoinformatics, Grunwaldzka 53, 50-357 Wrocław, Poland

autor

Kubik T.

• University of Science and Technology, Department of Computer Engineering, Faculty of Electronics, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland

autor

Kryza M.

• University of Wrocław, Department of Climatology and Atmosphere Protection, Poland

autor

Jutarski J.

• Institute of Meteorology and Water Management – National Research Institute, Parkowa 30, 51-616 Wrocław, Poland

autor

Gierczak J.

• Institute of Meteorology and Water Management – National Research Institute, Parkowa 30, 51-616 Wrocław, Poland

autor

Kosierb R.

• Institute of Meteorology and Water Management – National Research Institute, Parkowa 30, 51-616 Wrocław, Poland

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