DORIS time series analysis by using ARMA models

Dilbarkhon Fazilova (Astronomical Institute, Uzbekistan)

CoAuthors

Laurent Soudarin (Collect Localisation Sattelites (CLS), France); Jérôme Saunier (Institut National de l'Information Géographique et Forestière (IGN), France)

Event: 2016 IDS Workshop

Session: Research activities and new applications

Presentation type: Type Poster

DORIS is the satellite navigation system applied in geodesy for precise determination of the position on the Earth's surface. The IDS community has been generating weekly station state solutions for more than 50 DORIS network stations worldwide since their installations for regular monitoring of recent kinematics of the Earth's crust. One site in Uzbekistan is participating in this project - Kitab (KIUB) permanent observation station. The KIUB station has been operating regularly since 1991. During the past few years numerous models for analyzing and forecasting of time series have been developed by researchers. Data analysis to the station time series aims to extract useful signals, such as crustal deformation, seasonal variations of station dynamics etc. The statistical analysis along with real physical data combination is necessary to refine and interpret physical processes. Generally, permanent station time series also include various types of signals, as both real and apparent causes (such as miss-modeled errors, effects of observational environments, random noise or any other effects produced by analysis software and settings of a prior stochastic models). Autoregressive moving average (ARMA) method is applied to modeling the time series of position changes of 9 DORIS sites (lca11wd02 weekly solution) time series from 1993 to 2012: ARFB, BADB, EASB, EVEB, GRFB, HBMB, KIUB, LICB and MEUB. Regression analysis of height components with tropospheric parameters (pressure and temperature) are also considered.

 

Poster show times:

RoomStart DateEnd Date
Casoar Mon, Oct 31 2016,09:00 Mon, Oct 31 2016,19:30
Dilbarkhon Fazilova
Astronomical Institute
Uzbekistan
kitab@intal.uz