Reference : Noise characteristics in Zenith Total Delay from homogeneously reprocessed GPS time series
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
Computational Sciences
http://hdl.handle.net/10993/29914
Noise characteristics in Zenith Total Delay from homogeneously reprocessed GPS time series
English
Klos, Anna [Warsaw Military University of Technology]
Hunegnaw, Addisu mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit]
Teferle, Felix Norman mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit]
Abraha, Kibrom Ebuy mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit]
Ahmed, Furqan [University of Texas at Austin]
Bogusz, Janusz [Warsaw Military University of Technology]
22-Feb-2017
No
No
International
COST Action ES1206 GNSS4SWEC Final Workshop
21-02-2017 to 23-02-2017
ESTEC, ESA
Noordwijk
The Netherlands
[en] Global Navigation Satellite Systems ; Stochastic Noise ; Atmospheric Water Vapour ; Climate ; Time Series Analysis
[en] Zenith Total Delay (ZTD) time series, derived from the re-processing of Global Positioning System (GPS) data, provide valuable information for the evaluation of global atmospheric reanalysis products such as ERA-Interim. Identifying the correct noise characteristics in the ZTD time series is an important step to assess the ’true’ magnitude of ZTD trend uncertainties. The ZTD residual time series for 1995-2015 are generated from our homogeneously re-processed and homogenized GPS time series from over 700 globally distributed stations classified into five major climate zones. The annual peak of ZTD data ranges between 10 and 150 mm with the smallest values for the polar and Alpine zone. The amplitudes of daily curve fall between 0 and 12 mm with the greatest variations for the dry zone. The autoregressive process of fourth order plus white noise model were found to be optimal for ZTD series. The tropical zone has the largest amplitude of autoregressive noise (9.59 mm) and the greatest amplitudes of white noise (13.00 mm). All climate zones have similar median coefficients of AR(1) (0.80±0.05) with a minimum for polar and Alpine, which has the highest coefficients of AR(2) (0.27±0.01) and AR(3) (0.11±0.01) and clearly different from the other zones considered. We show that 53 of 120 examined trends became insignificant, when the optimum noise model was employed, compared to 11 insignificant trends for pure white noise. The uncertainty of the ZTD trends may be underestimated by a factor of 3 to 12 compared to the white noise only assumption.
University of Luxembourg: High Performance Computing - ULHPC
Fonds National de la Recherche - FnR ; University of Luxembourg - UL
R-AGR-0376 > SGSL > 01/05/2015 - 30/04/2017 > TEFERLE Felix Norman
Researchers ; Professionals
http://hdl.handle.net/10993/29914
Conference Proceedings
FnR ; FNR6835562 > Kibrom Ebuy Abraha > MGLTM > Multi-GNSS Benefits to Long-Term Monitoring Applications in the Geosciences > 01/05/2014 > 30/04/2017 > 2013

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