On the Statistical Significance of Climatic Trends Estimated From GPS Tropospheric Time Series

Author:

Alshawaf F.1ORCID,Zus F.1,Balidakis K.1,Deng Z.1,Hoseini M.2,Dick G.1,Wickert J.13ORCID

Affiliation:

1. GFZ German Research Centre for Geosciences; Potsdam Germany

2. Department of Civil and Environmental Engineering; Norwegian University of Science and Technology; Trondheim Norway

3. Institute of Geodesy and Geoinformation Science; Technische Universität Berlin; Berlin Germany

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Reference44 articles.

1. Fitting autoregressive models for prediction;Akaike;Annals of the institute of Statistical Mathematics,1969

2. Estimating trends in atmospheric water vapor and temperature time series over Germany;Alshawaf;Atmospheric Measurement Techniques,2017

3. Accurate estimation of atmospheric water vapor using GNSS observations and surface meteorological data;Alshawaf;IEEE Transactions on Geoscience and Remote Sensing,2015

4. Estimating integrated water vapor trends from VLBI, GPS, and numerical weather models: Sensitivity to tropospheric parameterization;Balidakis;Journal of Geophysical Research: Atmospheres,2018

5. Estimating horizontal gradients of tropospheric path delay with a single GPS receiver;Bar-Sever;Journal of Geophysical Research,1998

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