Abstract

This research is supported by the NSERC Collaborative Research and Development (CRD) grant, ’Real-time ground motion tools for seismic hazard management’. The work of KFT was supported by an NSERC Discovery Grant.

Highlights

  • The troposphere is defined as the neutral, non-ionized layer of the atmosphere which extends from Earth’s surface to an altitude of approximately 10–15 km above sea level

  • The wet component of the delay is the major source of the seasonal variations in the total troposphere delay and it is highly dependent on the topography (Jin et al 2007)

  • The model proposed here provides the best fit to the estimates of the amplitude of zenith tropospheric delays (ZTDs) in the vertical time-series of more than one million Differential Interferometric Synthetic Aperture Radar (DInSAR) pixels produced from the Multidimensional Small Baseline subset (MSBAS) technique (Samsonov & d’Oreye 2012). We demonstrate that this model eliminates the need for the meteorological observations at each Global Positioning System (GPS) station, but that it can be used to accurately estimate the seasonal amplitude of local ZTD on GPS data at any altitude

Read more

Summary

INTRODUCTION

The troposphere is defined as the neutral, non-ionized layer of the atmosphere which extends from Earth’s surface to an altitude of approximately 10–15 km above sea level. Samsonov et al (2014) developed an approach to remove the seasonal component of the tropospheric error from DInSAR ground deformation time-series They used meteorological and radiosonde data observed at the stations located in the Naples Bay region of Italy and computed the refractivity at Earth’s surface and at altitude, respectively. Motivated by the results of Samsonov et al (2014), here we use DInSAR data with high spatial and temporal resolution to propose an elevation-dependent refractivity model which is dependent on the spatial and temporal variations in the weather parameters This model estimates the local seasonal variations of troposphere signal accurately in GPS data in the area containing the Kilauea volcano and the eastern rift zone of Mauna Loa on the island of Hawaii (Figs 1a and b).

STUDY AREA
DInSAR data
Exponential refractivity model
ZTD CORRECTION TO GPS DATA
Findings
CONCLUSIONS
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.