23–25 Jan 2017
Military University of Technology, Warsaw, Poland
Europe/Brussels timezone
<a href="https://events.oma.be/indico/event/8/">Previous Event: 1st COST ES1206 sub-WG Workshop on Data Homogenisation in Brussels, Belgium, 26-27 April 2016</a>

Non-parametric Tecniques for Trend and Change Point Detection Analysis

23 Jan 2017, 16:50
20m
Military University of Technology, Warsaw, Poland

Military University of Technology, Warsaw, Poland

Faculty of Civil Engineering and Geodesy Gen. S. Kaliskiego 2, 00-908 Warsaw, Poland
Oral Presentation Technical Session on Homogenization Algorithms Homogenization Algorithms

Speaker

Mrs Selma ZENGİN KAZANCI (Karadeniz Technical University)

Description

Integrated water vapour (IWV) is calculated from processing of GNSS data and IWV time series are produced. IWV time series analysis is important to monitoring of climate changes. Inhomogeneities caused by earthquakes, changes in hardware or equipment etc., can affect actual trends and seasonal variability in time series. This work presents non-parametric techniques for trend and change point analysis.

Primary author

Mrs Selma ZENGİN KAZANCI (Karadeniz Technical University)

Co-authors

Dr Emine Tanır Kayıkçı (Karadeniz Technical University) Dr Vincenza Tornatore (Politecnico di Milano)

Presentation materials

There are no materials yet.