Articles | Volume 12, issue 9
https://doi.org/10.5194/amt-12-4829-2019
https://doi.org/10.5194/amt-12-4829-2019
Research article
 | 
10 Sep 2019
Research article |  | 10 Sep 2019

Assimilation of GNSS tomography products into the Weather Research and Forecasting model using radio occultation data assimilation operator

Natalia Hanna, Estera Trzcina, Gregor Möller, Witold Rohm, and Robert Weber

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Subject: Others (Wind, Precipitation, Temperature, etc.) | Technique: Remote Sensing | Topic: Data Processing and Information Retrieval
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Cited articles

Adavi, Z. and Mashhadi-Hossainali, M.: 4D-tomographic reconstruction of water vapor using the hybrid regularization technique with application to the North West of Iran, Adv. Space Res., 55, 1845–1854, https://doi.org/10.1016/j.asr.2015.01.025, 2015. 
Andersson, E.: Statement of Guidance for Global Numerical Weather Prediction (NWP), World Meteorological Organisation, Geneva, 2018. 
Bauer, H. S., Wulfmeyer, V., Schwitalla, T., Zus, F., and Grzeschik, M.: Operational assimilation of GPS slant path delay measurements into the MM5 4DVAR system, Tellus A, 63, 263–282, https://doi.org/10.1111/j.1600-0870.2010.00489.x, 2011. 
Bender, M., Dick, G., Ge, M., Deng, Z., Wickert, J., Kahle, H. G., Raabe, A., and Tetzlaff, G.: Development of a GNSS water vapour tomography system using algebraic reconstruction techniques, Adv. Space Res., 47, 1704–1720, https://doi.org/10.1016/j.asr.2010.05.034, 2011. 
Benevides, P., Catalao, J., Nico, G., and Miranda, P. M.: Inclusion of high resolution MODIS maps on a 3D tropospheric water vapor GPS tomography model, PROC SPIE, 9640, 96400R, https://doi.org/10.1117/12.2194857, 2015. 
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Short summary
In the study, the potential of GNSS tomography as an important supplementary data source for numerical weather prediction models was examined. We used two GNSS tomography models (TUW, WUELS) in different configurations. The GNSS tomography outputs were assimilated into the WRF model using a radio occultation observations operator (non-standard approach). Promising results show improvement in the weather forecasting of relative humidity and temperature during heavy-precipitation events.