4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF

Rohm, Witold; Guzikowski, Jakub; Wilgan, Karina; Kryza, Maciej

doi:https://doi.org/10.5194/amt-12-345-2019

Articles | Volume 12, issue 1

https://doi.org/10.5194/amt-12-345-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Advanced Global Navigation Satellite Systems tropospheric...

https://doi.org/10.5194/amt-12-345-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

Research article

|

18 Jan 2019

Research article |

| 18 Jan 2019

4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF

Witold Rohm, Jakub Guzikowski, Karina Wilgan, and Maciej Kryza

Data sets

National Weather Service/NOAA/U.S. Department of Commerce, updated daily, NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999, Research Data Archive at the National Center for Atmospheric Research, Computational and Infor National Centers for Environmental Prediction https://doi.org/10.5065/D6M043C6

Short summary

Assimilation of satellite navigation data into a popular weather model is yet another example of how to turn non-meteorological data into valuable information about the current state of the troposphere. Results show that observations from ground-based GPS receivers can improve humidity and rain forecasts in most severe weather events. It is another reason to extend the adoption of GPS data into weather forecasting across Europe.