Published January 14, 2020
| Version v1
Dataset
Open
GNSS tomography data for assimilation into the Weather Research and Forecasting model
- 1. Institute of Geodesy and Geoinformatics, Wroclaw University of Environmental and Life Sciences, Wrocław, Poland
- 2. Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria
- 3. Institute of Geodesy and Photogrammetry, ETH Zürich, Switzerland
- 4. Department of Meteorology and Climatology, University of Wroclaw, Wroclaw, Poland
Description
The data set contains GNSS troposphere tomography estimations of 3D wet refractivity fields for a part of Central Europe (mostly Germany and Czech Republic), for the period of 29 May–14 June 2013 when heavy-precipitation events were observed. The refractivity fields were estimated using two different GNSS tomography models: ATom software package (https://github.com/GregorMoeller/ATom) developed at TU Wien, and the TOMO2 model (Rohm and Bosy, 2011; Rohm et al., 2014; Trzcina and Rohm, 2019) developed at the Wrocław University of Environmental and Life Sciences. Further description of the GNSS tomography processing can be found in the paper by Hanna et al. (2019).
Files
Nw_data.zip
Files
(1.9 MB)
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md5:6a10a86f0d22973cab4caddf32180e31
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Additional details
References
- Hanna, N., Trzcina, E., Möller, G., Rohm, W., & Weber, R. (2019). Assimilation of GNSS tomography products into the Weather Research and Forecasting model using radio occultation data assimilation operator.
- Rohm, W., Zhang, K., & Bosy, J. (2014). Limited constraint, robust Kalman filtering for GNSS troposphere tomography. Atmospheric Measurement Techniques, 7(5), 1475-1486. Atmospheric Measurement Techniques, 12(9), 4829-4848.
- Rohm, W., & Bosy, J. (2011). The verification of GNSS tropospheric tomography model in a mountainous area. Advances in Space Research, 47(10), 1721-1730.
- Trzcina, E., & Rohm, W. (2019). Estimation of 3D wet refractivity by tomography, combining GNSS and NWP data: First results from assimilation of wet refractivity into NWP. Quarterly Journal of the Royal Meteorological Society, 145(720), 1034-1051.