日本地球惑星科学連合2019年大会

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[E] 口頭発表

セッション記号 M (領域外・複数領域) » M-TT 計測技術・研究手法

[M-TT46] 統合地球観測システムとしてのGPS/GNSSの新展開

2019年5月27日(月) 09:00 〜 10:30 104 (1F)

コンビーナ:小司 禎教(気象研究所気象衛星・観測システム研究部第2研究室)、市川 香(九州大学応用力学研究所)、太田 雄策(東北大学大学院理学研究科附属地震・噴火予知研究観測センター)、津川 卓也(情報通信研究機構)、座長:Yusaku Ohta

10:15 〜 10:30

[MTT46-05] An analysis of tropospheric delays using goGPS software on all GEONET stations during the passage of Typhoon Jebi in September 2018

*Andrea Gatti1Eugenio Realini1Giulio Tagliaferro1 (1.Geomatics Research & Development srl)

キーワード:GNSS, Troposphere, Software, Typhoon

Nowadays, tropospheric delays estimated from GPS observations are widely used for studying weather events all over the world. Some meteorological agencies already use Zenith Tropospheric Delays (ZTD), or similar observables, by assimilation into numerical weather prediction (NWP) models; however, the increasing number of satellites from newer GNSS constellations (Galileo, QZSS, BeiDou, IRNSS), the advent of low-cost receivers and the advancement of techniques and models left space for further studies on the topic.

The new version of the open-source goGPS MATLAB software has been written to be a simple tool to perform efficient analysis of GNSS data from both geodetic and low-cost receivers. With its capability to download automatically all the resources needed by the selected algorithms, the relative easiness of use, and its flexibility with the possibility of trying different configurations in a fast way, goGPS presents itself as a convenient tool for students or researches who want to prototype new algorithms or perform studies on GNSS data.

To demonstrate the capabilities of the software, 1312 stations of the Japanese GEONET GNSS network are processed from September 2, 2018, to September 5, 2018, during the passage of Typhoon Jebi.

A 32-core machine running MATLAB 2016a and the latest beta version of goGPS 1.0 is used to process in a single parallel run the entire 4 days of the dataset. The execution performs for all the stations a multi-epoch precise point positioning (PPP) least squares (LS) adjustment in about two hours of computation time. Series of tropospheric delays and gradients are generated and used to produce maps and animations in order to observe the development of the event. Different solutions including multi-constellation results are presented and discussed.