Spatiotemporal variability of water vapor over Turkey from GNSS observations during 2009–2017 and predictability of ERA-Interim and ARMA model
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Springer Science and Business Media LLC
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http://link.springer.com/content/pdf/10.1186/s41445-018-0017-4.pdf
Reference52 articles.
1. Alshawaf, F., Dick, G., Heise, S., Simeonov, T., Vey, S., Schmidt, T. and Wickert, J., 2016. Decadal variations in atmospheric water vapor time series estimated using ground-based GNSS, http://www.atmos-meas-tech-discuss.net/amt-2016-151/amt-2016-151.pdf . Accessed 26 Apr 2017.
2. Ansari K, Althuwaynee OF, Corumluoglu O (2016) Monitoring and prediction of Precipitable water vapor using GPS data in Turkey. J Appl Geodesy 10(4):233245. https://doi.org/10.1515/jag-2016-0037
3. Ansari K, Corumluoglu O, Verma P (2017a) The triangulated affine transformation parameters and barycentric coordinates of Turkish permanent GPS network. Surv Rev:1–4. https://doi.org/10.1080/00396265.2017.1297016
4. Ansari K, Corumluoglu O, Panda SK (2017b) Analysis of ionospheric TEC from GNSS observables over the Turkish region and predictability of IRI and SPIM models. Astrophys Space Sci 332:65. https://doi.org/10.1007/s10509-017-3043-x
5. Ansari K, Panda SK, Althuwaynee OF, Corumluoglu O (2017c) Ionospheric TEC from the Turkish permanent GNSS network (TPGN) and comparison with ARMA and IRI models. Astrophys Space Scie. https://doi.org/10.1007/s10509-017-3159-z
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