IAG-IASPEI 2017

講演情報

Oral

IAG Symposia » G06. Geodetic remote sensing

[G06-2] Troposphere monitoring II

2017年8月1日(火) 16:30 〜 18:00 Room 504+505 (Kobe International Conference Center 5F, Room 504+505)

Chairs: Tomasz Hadas (Wroclaw University of Environmental and Life Sciences) , Francesco Vespe (Agenzia Spaziale Italiana)

17:15 〜 17:30

[G06-2-04] A Study of Severe Storm Monitoring and Prediction using High Spatio-temporal GNSS Water Vapor Information Retrieved with RTKLIB and MADOCA

Yoshinori Shoji1, Kazutoshi Sato2, Masanori Yabuki3, Toshitaka Tsuda3 (1.Meteorological Research Institute, Tsukuba, Japan, 2.Japan Aerospace Exploration Agency, Tsukuba, Japan, 3.Research Institute for Sustainable Humanosphere, Kyoto University, Kyoto, Japan)

Water vapor plays a significant role on development of hazardous cumulus convection. Water vapor monitoring with high temporal and spatial resolution is indispensable for both predicting and monitoring of such disastrous weather phenomenon. In Japan, a nationwide dense continuous ground based GNSS network named GEONET (http://www.gsi.go.jp/ENGLISH/page_e30030.html) has also been utilized as a continuous water vapor monitoring network by the Japan Meteorological Agency since 2009.

In order to capture finer water vapor variation, we have been developing two new applications, as (1) GNSS slant-path delay (SPD) utilization to detect strong horizontal water vapor gradient within several kilometer which associated with convective activities [1][2], and (2) observation system of water vapor over the ocean using GNSS receivers equipped on top of floating buoys and vessels [3].

One of the most important point of these application is its real-time availability. We have tested "MADOCA (Multi-GNSS Advanced Demonstration tool for Orbit and Clock Analysis)" real-time ephemerides (https://ssl.tksc.jaxa.jp/madoca/public/public_index_en.html) applied to the program package for GNSS positioning “RTKLIB (http://www.rtklib.com/)" version 2.4.2 (patch 11). The results so far show great potential of RTKLIB with MADOCA for severe weather prediction and monitoring.

References:
[1] Sato, K., E. Realini, T. Tsuda, M. Oigawa, Y. Iwaki, Y. Shoji, and H. Seko, “A High-resolution, Precipitable Water Vapor Monitoring System Using a Dense Network of GNSS Receivers", Journal of Disaster Research, 8, 37-47, 2013.
[2]Shoji, Y., Hiroshi Yamauchi, Wataru Mashiko, and Eiichi Sato, “Estimation of Local-scale Precipitable Water Vapor Distribution Around Each GNSS Station Using Slant Path Delay", SOLA, 10, 29-33, 2014.
[3]Shoji Y., K. Sato, M. Yabuki, and T. Tsuda, “PWV Retrieval over the Ocean using Shipborne GNSS Receivers with MADOCA Real-time Orbits", SOLA, 12, 265-271, 2016.