Improving the Wet Mapping Function by Numerical Weather Models      
Yazarlar (7)
Dr. Öğr. Üyesi Ali Hasan DOĞAN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Florian Zus
Gfz Helmholtz Centre For Geosciences, Almanya
Galina Dick
Gfz Helmholtz Centre For Geosciences, Almanya
Jens Wickert
Gfz Helmholtz Centre For Geosciences, Almanya
Harald Schuh
Gfz Helmholtz Centre For Geosciences, Almanya
Utkan Mustafa Durdağ
Artvin Çoruh Üniversitesi, Türkiye
Bahattin Erdoğan
Yıldız Teknik Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı Advances in Space Research
Dergi ISSN 0273-1177 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q1
Makale Dili İngilizce
Basım Tarihi 01-2024
Cilt No 73
Sayı 1
Sayfalar 404 / 413
DOI Numarası 10.1016/j.asr.2023.07.060
Makale Linki http://dx.doi.org/10.1016/j.asr.2023.07.060
Özet
In space geodetic techniques, the mapping functions (MFs) provide the relationship between zenith and slant tropospheric delays. The MFs are determined under the assumption of spherically layered atmosphere. However, the atmosphere is not spherically layered, and the asymmetry should be considered. Therefore, tropospheric gradients are taken into account. Nevertheless, tropospheric gradients alone can not fully represent the deviation from a spherically layered atmosphere, and hence cm level errors arise especially for low elevation angles. In this study, we present new approaches to modify the wet MF to reduce mismodelling of tropospheric delays. The delays in the study were calculated using ray-tracing algorithm based on ECMWF's ERA5 dataset. We first analyzed the performances of the new approaches. Then, two Precise Point Positioning (PPP) simulation studies and a real case study were carried out for two different regions namely Germany and Türkiye. According to the results, the proposed approaches reduce the modelling errors up to by a factor 6 for both regions. Besides, simulation studies show that the approaches improve the accuracies of the ZTDs and heights. In the practical application however, we could not find a clear improvement in the PPP analyze and this might be related to the ERA5 which can not be regarded error-free.
Anahtar Kelimeler
ERA5 | Mapping Function | Numerical Weather Model | PPP | Tropospheric delay