Published September 9, 2024 | Version v1
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Assimilation of GNSS Zenith Delays and Tropospheric Gradients: A Sensitivity Study utilizing sparse and dense station networks

  • 1. ROR icon Technische Universität Berlin
  • 2. ROR icon Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences

Description

Manuscript Submitted to:       Geophysical Research Letters

Manuscript title:                     Assimilation of GNSS Zenith Delays and Tropospheric Gradients: A Sensitivity Study utilizing sparse and dense station networks

Authors:                                   Rohith Thundathil, Florian Zus, Galina Dick, Jens Wickert

Corresponding author:            Dr Rohith Muraleedharan Thundathil

Affiliation:                               Technische Universität Berlin, Germany; German Research Centre for Geosciences GFZ Potsdam, Germany

Email:                                      r.thundathil@tu-berlin.de

 

List of contents in the digital repository:

 

1) WRFDAV4.4.1_GRADIENT_OPERATOR.tar

The Weather Research and Forecasting model codes are in plain text format, which can be opened in any text reader. The model version is 4.4.1, and it includes the tropospheric gradient operator, which was added as an upgrade to the existing ZTD operator in WRF.

 

2) GOP_Control_Run_May_June_2013.tar.gz

The DA simulation has 12-hour WRF outputs for May and June 2013. The control run is a conventional data-assimilated run.

 

3) GOP_Impact_Run_May_June_2013.tar.gz

Control plus ZTD data assimilated 12-hourly WRF outputs for May and June 2013. GNSS data assimilation carried out from a dense network (0.5 degree).

 

4) GOP_Impact_Gradient_Run_May_June_2013.tar.gz

Control plus ZTD plus gradient data assimilated 12-hourly WRF outputs for May and June 2013. GNSS data assimilation carried out from a dense network (0.5 degree).

 

5) GOP_1_0_Impact_Run_May_June_2013.tar.gz

Control plus ZTD data assimilated 12-hourly WRF outputs for May and June 2013. GNSS data assimilation carried out from a sparse network (1.0 degree).

 

6) GOP_1_0_Impact_Gradient_Run_May_June_2013.tar.gz

Control plus ZTD plus gradient data assimilated 12-hourly WRF outputs for May and June 2013. GNSS data assimilation carried out from a sparse network (1.0 degree).

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Additional details

Related works

References
Model: 10.5281/zenodo.10276428 (DOI)
Publication: 10.5194/gmd-17-3599-2024 (DOI)
Publication: 10.3390/rs15215114 (DOI)

Funding

Technische Universität Berlin
Exploitation of GNSS tropospheric gradients for severe weather Monitoring And Prediction (EGMAP) 68510200

References

  • Thundathil, R., Zus, F., Dick, G., & Wickert, J. (2024). Assimilation of GNSS tropospheric gradients into the Weather Research and Forecasting (WRF) model version 4.4. 1. Geoscientific Model Development, 17(9), 3599-3616.
  • Zus, F., Thundathil, R., Dick, G., & Wickert, J. (2023). Fast Observation Operator for Global Navigation Satellite System Tropospheric Gradients. Remote Sensing, 15(21), 5114.