Japan Geoscience Union Meeting 2015

Presentation information

International Session (Oral)

Symbol M (Multidisciplinary and Interdisciplinary) » M-TT Technology & Techniques

[M-TT05] New phase of GPS/GNSS application as an integrated earth observation system

Wed. May 27, 2015 11:00 AM - 12:45 PM 203 (2F)

Convener:*Yoshinori Shoji(The Second Laboratory of Meteorological Satellite and Observation System Research Department, Meteorological Research Institute), Toshitaka Tsuda(Research Institute for Sustainable Humanosphere), Teruyuki Kato(Earthquake Prediction Research Center, Earthquake Research Institute, The University of Tokyo), Hiromu Seko(Meteorological Research Institute), Kazutoshi Sato(Japan Aerospace Exploration Agency), Chair:Kazutoshi Sato(Japan Aerospace Exploration Agency)

12:00 PM - 12:15 PM

[MTT05-08] An observational study on the time and spatial variations of the localized ionospheric delays with a dense GNSS receiver

*Yuji TAKEDA1, Toshitaka TSUDA1 (1.Research Institute for Sustainable Humanosphere,Kyoto University)

Keywords:GPS, GNSS, ionosphere, dense network

The integrated amount of water vapor along the zenith angle, or PWV
(Precipitable Water Vapor) can be estimated by GPS (GNSS) meteorology, which is a
method to compute atmospheric parameters from troposphere-induced delays
in signals of GPS (GNSS). We deployed a dual-frequency (DF) GNSS network
around Uji campus of Kyoto University, Japan, with inter-station distances of
few kilometers. By using this dense network, we built a basic system to observe PWV
fluctuations occurring within a small horizontal scale (less than 10 km), which
were then analyzed to identify possible precursors of local torrential rain.
To utilize this network as a practical heavy rain early warning system for urban area,
using inexpensive single-frequency (SF) receivers would be better for economic reasons. However, Using SF receivers occurs error in computing PWV because we cannott eliminate the ionospheric delay by using SF receivers. So we investigate and estimate ionospheric delay within this dense network system in many cases. From this investigate, we aim to find the appropriate method to correct the effect of ionospheric delays on SF observations in this dense GNSS network system.