12:00 〜 12:15
[MTT05-08] 稠密GNSS受信ネットワークによる電離層遅延量の時空間変動に関する研究
キーワード：ジーピーエス, ジーエヌエスエス, 電離層, 稠密観測網
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.
(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.