Return
A novel method for tropospheric delay mapping function vertical modeling
DOI:10.1007/s00190-024-01845-2.png)
Abstract
En 中文
In high-precision space geodetic techniques data processing, the mapping function (MF) is a key factor in mapping the radio waves from the zenith direction down to the signal incoming direction. Existing MF products, either site-wise Vienna Mapping Function (VMF1 and VMF3) or grid-wise VMF1 and VMF3, are only available at the Earth surface. For overhead areas, height correction is always required, which is becoming increasingly important with growing airborne aircraft activity. In this contribution, we introduce a novel method aimed at providing a large number of MFs to the user in a simple and efficient manner, while minimizing the loss of precision. The approach effectively represents the vertical profile of the MFs from the Earth's surface up to altitudes of 14 km. In addition, the new model corrects for height in the assessment using the fifth generation of the European Centre for Medium-Range Weather Forecasts ReAnalysis (ERA5) ray tracing calculations for a global 5 degrees x 5 degrees grid with 54 layers in the vertical direction, a total of 8 azimuths in the plane, and 7 elevation angles, for each day in 2021. Specifically, for both polynomial and exponential model of order 2 and 3, the relative residuals are < 0.3% for the hydrostatic delay MF coefficient a(h), and < 1% for the wet delay MF coefficient a(w). The precision of the new model on the Earth's surface is evaluated using site-wise VMF1 and VMF3 GNSS (Global Navigation Satellite System) products from Technische Universit & auml;t Wien. The root mean square error of slant hydrostatic delay and slant wet delay at a 3 degrees elevation angle is approximately 4-5 cm and 2-5 cm, respectively.
Keywords:
European Centre for Medium-Range Weather Forecasts (ECMWF) ReAnalysis 5 (ERA5)
Tropospheric delay
Mapping functions (MF)
Vertical modeling
Ray tracing
Journal
IF:
4
Papers:
2.5K
Citations:
7.6K
Organization
Cited Papers
Assessment of Three Tropospheric Delay Models (IGGtrop, EGNOS and UNB3m) Based on Precise Point Positioning in the Chinese Region
SENSORS
IF3.5
Assessment of Empirical Troposphere Model GPT3 Based on NGL's Global Troposphere Products
SENSORS
IF3.5

