Conveners
Noise and Signals in the time series / Generation of synthetic dataset(s)
- Roeland Van Malderen (Royal Meteorological Institute of Belgium)
- Eric Pottiaux (Royal Observatory of Belgium (ROB))
Description
This session is dedicated to the following subjects: 1) Noise in the time series, 2) Signal in the time series, and 3) Generation of synthetic dataset(s). Individual presentation will be followed by an open dicussion.
Dr
Anna Klos
(Military University of Technology, Warsaw, Poland)
27/04/2016, 09:00
Noise and Signals in the time series
Oral Presentation
Within last 26 years, the Zenith Total Delay (ZTD) or Integrated Water Vapour (IWV) time series have been estimated together with position series during processing or reprocessing of GNSS data. The basic advantage of ZTD and IWV time series analysis is a possible application to monitoring of climate changes. In this kind of studies, trend and its uncertainty indicating a significance are...
Mrs
Selma ZENGİN KAZANCI
(WG1)
27/04/2016, 09:20
Noise and Signals in the time series
Oral Presentation
Seasonal components in the ZTD (Zenith Tropospheric Delay) and IWV (Integrated Water Vapour) time series are important and provide information about weather conditions in a given region. The main purpose of this research is to analyze linear trends and seasonal components of ZTD’s and IWS’s in GPS reprocessing campaign at selected stations in Europe (IGS repro1 dataset-URL1). The seasonal...
Dr
Anna Klos
(Military University of Technology, Warsaw, Poland)
27/04/2016, 09:40
Generation of synthetic dataset(s)
Oral Presentation
A task of homogenisation of tropospheric data estimated in GNSS processing is based on a proper detection of possible offsets due to changes in hardware or equipment, earthquakes or any other artificial events. This task is aimed at determination of reliable trend and its uncertainty that is used in climate studies since any undetected offset influences the value of trend and increases its...
