Abstract
The accuracy of global tropospheric empirical models depends on the model expression and the modeling data sources. Although the current temporal resolution of available models is usually one day, it is anticipated that this will be improved in the future. To achieve compatibility with future high temporal-resolution data sources, this study develops a new global tropospheric correction model, the Wuhan-University Global Tropospheric Empirical Model (WGTEM). Evaluation of WGTEM model expression determines that it has better precision than other models, and this is attributed to its ability to consider diurnal variations in meteorological parameters and the double-peak daily variation in air pressure, which are not concerned in other models. The external accuracy of the WGTEM was evaluated after modeling with the European Centre for Medium-range Weather Forecasts (ECMWF) ERA-Interim products, and results show its accuracy exceeds that of the current ITG model and its Zenith Tropospheric Delay (ZTD) performance is also superior.
Highlights
Most of the Earth’s weather occurs in the troposphere, and as such, it is an essential component of the Earth’s space environment
This section firstly evaluates the Wuhan-University Global Tropospheric Empirical Model (WGTEM) model expression using European Centre for Medium-range Weather Forecasts (ECMWF) ERA-Interim products and NOAA (National Oceanic and Atmospheric Administration) data as the reference, and the external accuracy of the WGTEM is verified using a comparison with NOAA meteorological measurements and International Global Navigation Satellite System (GNSS) Service (IGS) final Zenith Tropospheric Delay (ZTD) products
The accuracy of tropospheric empirical model key parameters is highly reliant on the model expression and the modeling data sources employed
Summary
Most of the Earth’s weather occurs in the troposphere, and as such, it is an essential component of the Earth’s space environment. Signals from the Global Navigation Satellite System (GNSS) are affected as satellites pass through the troposphere, which results in a considerable range delay. Key tropospheric parameters (such as temperature, air pressure, water vapor pressure, and atmospheric weighted average temperature) can be used to provide tropospheric delay correction for space technologies such as GNSS and Very Length Baseline Interferometry (VLBI), and used in weather and climate change forecasts [5]. To resolve the problem of inaccurate tropospheric delay based on standard atmospheric parameters, early research aimed to establish global empirical models that do not require meteorological parameters. Most empirical tropospheric correction models are expressed in a global grid form, and their horizontal resolution can be improved by incorporating data sources within the global grids.
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