Time dependence of noise characteristics in continuous GPS observations from East Africa

Birhanu, Yelebe; Williams, Simon ORCID: https://orcid.org/0000-0003-4123-4973; Bendick, Rebecca; Fisseha, Shimeles. 2018 Time dependence of noise characteristics in continuous GPS observations from East Africa. Journal of African Earth Sciences, 144. 83-89. 10.1016/j.jafrearsci.2018.04.015

Before downloading, please read NORA policies.

Preview

Text
Birhanu_et al_2018.pdf
Download (2MB) | Preview

Official URL: http://dx.doi.org/10.1016/j.jafrearsci.2018.04.015

Abstract/Summary

A noise model for the regional continuous GPS (cGPS) timeseries in East Africa (Ethiopia and Eritrea) was computed using the maximum likelihood estimation (MLE) method. Using this method and assigning different noise models for each cGPS site and each component (north, east and vertical) may bias the noise level of the velocity solutions due to the non-uniformity of the length of the timeseries. Within the whole regional network, the length of the timeseries varies from one to seven years. We compute a preferred regional noise model for the whole data sets using a stacked maximum likelihood values for the different power – law indexes (between −2 and 0 with a time step of 0.1), presuming that there is only one noise model that exists in the regional cGPS timeseries. Therefore, a single power – law index (flicker plus white noise) was assigned for the whole regional network irrespective of the length of the timeseries. This approach is more robust and “realistic” to determine the noise characteristics of the regional GPS network.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1016/j.jafrearsci.2018.04.015
ISSN:	1464343X
Date made live:	03 Jul 2018 09:25 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/520335

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.1016/j.jafrearsci.2018.04.015

ISSN:

1464343X

Date made live:

03 Jul 2018 09:25 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/520335