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Open AccessJournal ArticleDOI

Operation of a Data Acquisition, Transfer, and Storage System for the Global Space-Weather Observation Network

TLDR
The WONM system provides easier management of data collection than previously employed systems by means of autonomous system recovery, periodical state monitoring, and dynamic warning procedures.
Abstract
A system to optimize the management of global space-weather observation networks has been developed by the National Institute of Information and Communications Technology (NICT). Named the WONM (Wide-area Observation Network Monitoring) system, it enables data acquisition, transfer, and storage through connection to the NICT Science Cloud, and has been supplied to observatories for supporting space-weather forecast and research. This system provides us with easier management of data collection than our previously employed systems by means of autonomous system recovery, periodical state monitoring, and dynamic warning procedures. Operation of the WONM system is introduced in this report.

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Proceedings ArticleDOI

Real-time 3D visualization of phased array weather radar data via concurrent processing in Science Cloud

TL;DR: A real-time 3D visualization system of the observation data of the X-band phased array weather radar (PAWR) using high-speed network, parallel data processing system, and large-scale storage system for the concurrent processing at low cost is developed.

Routine obsrevations and data acquisition of the ionosphere at syowa station, antarctica

TL;DR: In this paper, Nagatsuma et al. introduced the ionospheric observation at Syowa station, Antarctica, and current status of the observations at the Syowa base station.
References
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Journal ArticleDOI

An Integrated Management System of Multipoint Space Weather Observation

TL;DR: An outline of a planned system for the global space-weather monitoring network of NICT (National Institute of Information and Communications Technology) can manage data collection much more easily than the current system by installations of autonomous recovery, periodical state monitoring, and dynamic warning procedures.
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