Atmospheric Model for precise GNSS Applications | AMG

The Atmospheric Model for GNSS (the component which describes the propagation of the radio signals in the atmosphere) consists of a tropospheric and an ionospheric part.

Troposphere: The pressure, temperature and humidity fields are provided from a global Numerical Weather Model (NWM), the Global Forecast System (GFS) of the National Centers for Environmental Prediction (NCEP) (https://www.nco.ncep.noaa.gov/pmb/products/gfs/). We use a ray-trace algorithm (Zus et al., 2014) and compute zenith hydrostatic (wet) delays, derive the hydrostatic (wet) mapping function coefficients and the horizontal delay gradient components. In post-processing mode we use the NWM analysis whereas in real-time mode we use NWM short-range forecasts. On the importance of the tropospheric delay model in the GNSS analysis the reader is referred to Zus et al., 2021.

Ionosphere: The electron density field is derived from a climatological model, the latest version of the International Reference Ionosphere (IRI) (https://iri.gsfc.nasa.gov/), or derived from data provided by the Space Weather Prediction Center (SWPC) of the National Oceanic and Atmospheric Administration (NOAA) (https://www.swpc.noaa.gov/). Earth's magnetic field is provided from the 13th generation of the International Geomagnetic Reference Field (IGRF) (https://www.ngdc.noaa.gov/IAGA/vmod/igrf.html). We use a ray-trace algorithm to derive ionospheric delay parameters which can then be used to perform higher-order ionospheric corrections in precise applications (Zus et al., 2017). 

Data availability: Tropospheric and ionospheric delay parameters derived for specific stations or global grids are available upon request. 

Source code: The ray-tracing tool is available via https://git.gfz-potsdam.de/zusflo/dns. For details refer to Zus et al., 2025.

Contact: zusflo@gfz.de

References:

Zus, F., Dick, G., Dousa, J., Heise, S., and Wickert, J.: The rapid and precise computation of GPS slant total delays and mapping factors utilizing a numerical weather model, Radio Sci., 49, 207–216, doi:10.1002/2013RS005280, 2014.

Zus, F., Z. Deng, and J. Wickert: The impact of higher-order ionospheric effects on estimated tropospheric parameters in Precise Point Positioning, Radio Sci., 52, doi:10.1002/2017RS006254, 2017.

Zus, F., Balidakis, K., Dick, G., Wilgan, K., and Wickert, J.: Impact of Tropospheric Mismodelling in GNSS Precise Point Positioning: A Simulation Study Utilizing Ray-Traced Tropospheric Delays from a High-Resolution NWM, Remote Sens, 13, 3944, doi.org/10.3390/rs13193944, 2021.

Zus, F., Balidakis, K., Dogan, A. H., Thundathil, R., Dick, G., and Wickert, J.: DNS (v1.0): an open-source ray-tracing tool for space geodetic techniques, Geosci. Model Dev., 18, 4951–4964, https://doi.org/10.5194/gmd-18-4951-2025, 2025.

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