Accuracy Evaluation and Analysis of GNSS Tropospheric Delay Inversion from Meteorological Reanalysis Data
نویسندگان
چکیده
Accurate estimation of tropospheric delay is significant for global navigation satellite system’s (GNSS) high-precision and positioning. However, due to the random contingent changes in weather conditions water vapor factors, classical model cannot accurately reflect delay. In recent years, with development meteorological observation/detection numerical prediction (NWP) technology, accuracy resolution reanalysis data have been effectively improved, providing a new solution inversion modeling regional or delays. Here, we evaluate consistency three different types (i.e., ERA5, MERRA2, CRA40) used invert zenith (ZTD) from 436 international GNSS service (IGS) stations 2020, based on integral method. The results show that ZTD was consistent IGS ZTD, even heavy rain conditions. Furthermore, average precision ERA5 higher, where mean deviation (bias), absolute error (MAE), root square (RMS) were –3.39, 9.69, 12.55 mm, respectively. precisions MERRA2 CRA40 inversions comparable, showing slightly worse performance than ERA5. addition, further analyzed distribution characteristics errors inverted data. highly correlated station latitude climate type, they mainly concentrated tropical zone at low latitudes. Compared dividing areas by latitude, climatic category could better would also provide reference establishment models considering type.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2022
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs14143434