Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Space Weather Ionospheric Network Canada (SWINCan)

View through CrossRef
Space Weather Ionospheric Network Canada (SWINCan) will establish a pan-Canadian infrastructure of ground-based sensors that will provide state-of-the-art, real-time monitoring of the ionosphere spanning polar, auroral, and sub-auroral latitudes. SWINCan is an expansion and modernization of the Canadian High Arctic Ionospheric Network (CHAIN), one of the world’s largest networks for ionospheric research operated by the Radio and Space Physics Laboratory (RSPL) at the University of New Brunswick (UNB). SWINCan will deploy 100 specialized Global Navigation Satellite System (GNSS) receivers and 10 modular ionospheric sounder (MODIS) systems across Canada, while enhancing the 28 GNSS and 10 ionosonde systems currently installed in the Canadian Arctic as part of CHAIN. SWINCan GNSS receivers are high-rate (100 Hz) ionospheric scintillation and total electron content (TEC) monitors (GISTMs) that will provide real-time data and enhance multi-scale observation of the ionospheric structure and dynamics. MODIS systems being developed by RSPL are next generation, low power high frequency (HF) systems that take advantage of the latest developments in software defined radio and signal processing technology to reduce power consumption and increase ionospheric measurement capabilities in harsh, remote environments such as the Canadian Arctic. SWINCan is designed to take advantage of the unique natural laboratory of the Canadian Arctic for the fundamental study of solar-terrestrial interactions, and will provide essential input for mitigation of space weather effects on modern technological systems such as GNSS, radio communication, and over-the-horizon-radar, services critical to social, military, science, and major economic sectors.
Title: Space Weather Ionospheric Network Canada (SWINCan)
Description:
Space Weather Ionospheric Network Canada (SWINCan) will establish a pan-Canadian infrastructure of ground-based sensors that will provide state-of-the-art, real-time monitoring of the ionosphere spanning polar, auroral, and sub-auroral latitudes.
SWINCan is an expansion and modernization of the Canadian High Arctic Ionospheric Network (CHAIN), one of the world’s largest networks for ionospheric research operated by the Radio and Space Physics Laboratory (RSPL) at the University of New Brunswick (UNB).
SWINCan will deploy 100 specialized Global Navigation Satellite System (GNSS) receivers and 10 modular ionospheric sounder (MODIS) systems across Canada, while enhancing the 28 GNSS and 10 ionosonde systems currently installed in the Canadian Arctic as part of CHAIN.
SWINCan GNSS receivers are high-rate (100 Hz) ionospheric scintillation and total electron content (TEC) monitors (GISTMs) that will provide real-time data and enhance multi-scale observation of the ionospheric structure and dynamics.
MODIS systems being developed by RSPL are next generation, low power high frequency (HF) systems that take advantage of the latest developments in software defined radio and signal processing technology to reduce power consumption and increase ionospheric measurement capabilities in harsh, remote environments such as the Canadian Arctic.
SWINCan is designed to take advantage of the unique natural laboratory of the Canadian Arctic for the fundamental study of solar-terrestrial interactions, and will provide essential input for mitigation of space weather effects on modern technological systems such as GNSS, radio communication, and over-the-horizon-radar, services critical to social, military, science, and major economic sectors.

Related Results

Network-based ionospheric gradient monitoring to support ground based augmentation systems
Network-based ionospheric gradient monitoring to support ground based augmentation systems
The Ground Based Augmentation System (GBAS) is a local-area, airport-based augmentation of Global Navigation Satellite Systems (GNSSs) that provides precision approach guidance for...
A quantile-based composite ionospheric disturbance estimator for RTK positioning reliability
A quantile-based composite ionospheric disturbance estimator for RTK positioning reliability
Abstract Reliable real-time kinematic (RTK) positioning is highly sensitive to short-term ionospheric irregularities and spatial electron density gradients, which...
Space Safety through situational awareness
Space Safety through situational awareness
Space Situational Awareness (SSA) entails the detection, tracking, and comprehension of spaceborne objects and phenomena that could potentially affect Earth or space operations. It...
Space weather impacts on Geodesy
Space weather impacts on Geodesy
<p>Space Weather refers to events on the Sun that have an impact on terrestrial technologies and man-made satellites. The Global Navigation Satellite System (GNSS) is...
Predictability of Ionosphere using Assimilative Empirical Model IRTAM
Predictability of Ionosphere using Assimilative Empirical Model IRTAM
<p>Real-time assimilative <em>empirical </em>models based on the International Reference Ionosphere (IRI) [1], a 3D quiet-time climatology...
A Lesson Plan for Teaching Computational Thinking Using a Weather Forecaster Robot
A Lesson Plan for Teaching Computational Thinking Using a Weather Forecaster Robot
Weather and weather forecasting are closely related to our daily lives. TV weather forecasting programs are common worldwide. Producing such a program requires a team with various ...
Total electron content driven data products of SIMuRG
Total electron content driven data products of SIMuRG
<p>System for the Ionosphere Monitoring and Researching from GNSS (SIMuRG, see <em>https://simurg.iszf.irk.ru</em>) has been developed in ...

Back to Top