Articles | Volume 17, issue 9
https://doi.org/10.5194/gmd-17-3599-2024
https://doi.org/10.5194/gmd-17-3599-2024
Development and technical paper
 | 
03 May 2024
Development and technical paper |  | 03 May 2024

Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4.1

Rohith Thundathil, Florian Zus, Galina Dick, and Jens Wickert

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Cited articles

Bar-Sever, Y. E., Kroger, P. M., and Borjesson, J. A.: Estimating horizontal gradients of tropospheric path delay with a single GPS receiver, J. Geophys. Res.-Sol. Ea., 103, 5019–5035, 1998. a, b
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. a
Berre, L.: Estimation of synoptic and mesoscale forecast error covariances in a limited-area model, Mon. Weather Rev., 128, 644–667, 2000. a
Berre, L., Ştefaănescu, S. E., and Pereira, M. B.: The representation of the analysis effect in three error simulation techniques, Tellus A, 58, 196–209, 2006. a
Bevis, M., Businger, S., Herring, T. A., Rocken, C., Anthes, R. A., and Ware, R. H.: GPS meteorology: Remote sensing of atmospheric water vapor using the global positioning system, J. Geophys. Res.-Atmos., 97, 15787–15801, 1992. a
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Short summary
Global Navigation Satellite Systems (GNSS) provides moisture observations through its densely distributed ground station network. In this research, we assimilate a new type of observation called tropospheric gradient observations, which has never been incorporated into a weather model. We develop a forward operator for gradient-based observations and conduct an assimilation impact study. The study shows significant improvements in the model's humidity fields.
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