Abstract
It has been almost four decades since the first launch of geostationary meteorological satellite by Japan Meteorological Agency (JMA). The specifications of the geostationary meteorological satellites have shown tremendous progresses along with the generations, which are now entering their third generation. The third-generation geostationary meteorological satellites not only yield basic data for weather monitoring, but also globally observe the Earth’s environment. The development of multi-band imagers with improved spatial resolution onboard the third-generation geostationary meteorological satellites brings us meteorological data in larger size than those of the second-generation ones. Thus, new techniques for domestic and world-wide dissemination of the observational big data are needed. In this paper, we develop a web-based data visualization for Himawari-8 satellite sensed images in real time and with full resolution. This data visualization is supported by the ecosystems, which uses a tiled pyramid representation and parallel processing technique for terrain on an academic cloud system. We evaluate the performance of our techniques for domestic and international users on laboratory experiments. The results show that our data visualization is suitable for practical use on a temporal preview of observation image data for the domestic users.
Highlights
Changes in weather are of great interest to many people around the world since they often lead to serious effects on agriculture, industry, transportation, activities, and lives
The Multi-functional Transport SATellite (MTSAT) series, which are created as threeaxis body-stabilized satellites similar to the contemporary Geostationary Operational Environmental Satellite (GOES) series by National Oceanic and Atmospheric Administration/National Aeronautics and Space Administration (NOAA/NASA), are generally referred to as the second-generation geostationary meteorological satellites
The imager onboard GOES series is named by NOAA/NASA as Advanced Baseline Imager (ABI) (Schmit et al 2017)
Summary
A web-based real-time and full-resolution data visualization for Himawari-8 satellite sensed images. Murata1 · Praphan Pavarangkoon1 · Atsushi Higuchi2 · Koichi Toyoshima2 · Kazunori Yamamoto1 · Kazuya Muranaga3 · Yoshiaki Nagaya4 · Yasushi Izumikawa5 · Eizen Kimura6 · Takamichi Mizuhara
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