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Bea Gallardo-Lacourt (NASA/CUA)05/10/2026, 14:00Ground-Based Heliophysics Data: Distribution, Discovery, and Science EnablementTalk
Addressing many of the most important questions in heliophysics requires observations that span the coupled Sun–Earth system. No single instrument or platform can fully capture the complexity of this interconnected environment; instead, scientific progress depends on integrating complementary observations from both space- and ground-based assets. While the heliophysics community has pursued...
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Darren Chaddock (University of Calgary)05/10/2026, 14:15Ground-Based Heliophysics Data: Distribution, Discovery, and Science EnablementTalk
In the era of large networks of heterogeneous sensors, the ability to efficiently use and understand data is paramount. The University of Calgary operates one of the largest ground-based heliophysics sensor networks, with 118 instruments across the globe producing, on average, 16 million data points and 1 million images per day. The group's instrumentation heritage dates to the 1980s, with the...
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Emma Spanswick05/10/2026, 14:30Ground-Based Heliophysics Data: Distribution, Discovery, and Science EnablementTalk
The University of Calgary now operates one of the largest ground-based heliophysics networks in the world: more than 110 instruments including all-sky imagers, riometers, magnetometers, and GNSS scintillation receivers — distributed across 37 sites in northern Canada, Alaska, Greenland, and Antarctica. Sustaining this network has forced us to solve, and repeatedly re-solve, the full chain of...
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Alexis Jeandet (LPP-CNRS)05/10/2026, 14:45Ground-Based Heliophysics Data: Distribution, Discovery, and Science EnablementTalk
Ground-based networks and space-based archives are served by largely disjoint client stacks: sunpy, radiospectra and Fido with per-station file conventions on one side; CDAWeb, AMDA and HAPI clients with ISTP metadata on the...
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Jon Vandegriff05/10/2026, 15:00Ground-Based Heliophysics Data: Distribution, Discovery, and Science EnablementTalk
HAPI is a widely adopted standard for accessing heliophysics and space weather time-series data. Its success comes from its simplicity: it is straightforward for data providers to implement and easy for client software to use. We present optional extensions to the specification that preserve this simplicity while enabling greater interoperability and automated, semantic interpretation of data....
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