A Comparative Analyzes of Troposphere Models Determined Using Different Datasets

Doğan A. H. , Erdoğan B.

2. International Congress of Engineering and Natural Sciences Studies, 7 - 09 May 2022, pp.186

  • Publication Type: Conference Paper / Summary Text
  • Page Numbers: pp.186


In space geodetic techniques such as GNSS and VLBI, error sources should be eliminated to achieve precise positioning. Troposphere, one of the major error sources, affects radio signals due to the dry air and water vapor in its content. The signal delay because of the dry air can be obtained accurately using empirical formulas. However, meteorological observations should be considered to obtain signal delays because of the water vapor. Since obtaining real-time meteorological parameters is onerous, troposphere models are used to determine initial values of the parameters. Troposphere models can be produced using radiosonde observations and Numerical Weather Model data. In this study, two different troposphere model, which have been determined using ERA5’s monthly averaged and daily datasets from 2015 to 2019 produced by European Center for Medium-range Weather Forecasts, have been compared. Precision and accuracy analyzes have been performed. In order to obtain accuracy of the models, ERA5’s monthly averaged and daily products from 2020 have been used. According to first results, it has been seen that precision of the model produced using monthly averaged datasets is higher than daily’s. In addition, the highest accuracies have been obtained with the model, which has been produced using monthly averaged data, by validating monthly averaged datasets.