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Akademický článek

Reproducible Software Environment: a tool enabling computational reproducibility in geospace sciences and facilitating collaboration

Autor: Bhatt Asti, Valentic Todd, Reimer Ashton, Lamarche Leslie, Reyes Pablo, Cosgrove Russell

Publikováno v: Journal of Space Weather and Space Climate, Vol 10, p 12 (2020)

The Reproducible Software Environment (Resen) is an open-source software tool enabling computationally reproducible scientific results in the geospace science community. Resen was developed as part of a larger project called the Integrated Geoscience

Externí odkaz: https://doaj.org/article/cae44fdbb4384a1a8e1b007226ef4d33

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Global geomagnetic perturbation forecasting using Deep Learning

Autor: Upendran, Vishal, Tigas, Panagiotis, Ferdousi, Banafsheh, Bloch, Teo, Cheung, Mark C. M., Ganju, Siddha, Bhatt, Asti, McGranaghan, Ryan M., Gal, Yarin

Geomagnetically Induced Currents (GICs) arise from spatio-temporal changes to Earth's magnetic field which arise from the interaction of the solar wind with Earth's magnetosphere, and drive catastrophic destruction to our technologically dependent so

Externí odkaz: http://arxiv.org/abs/2205.12734

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Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition

Autor: Tigas, Panagiotis, Bloch, Téo, Upendran, Vishal, Ferdoushi, Banafsheh, Cheung, Mark C. M., Ganju, Siddha, McGranaghan, Ryan M., Gal, Yarin, Bhatt, Asti

Modeling and forecasting the solar wind-driven global magnetic field perturbations is an open challenge. Current approaches depend on simulations of computationally demanding models like the Magnetohydrodynamics (MHD) model or sampling spatially and

Externí odkaz: http://arxiv.org/abs/2102.01447

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Akademický článek

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Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder

Autor: Lamb, Kara, Malhotra, Garima, Vlontzos, Athanasios, Wagstaff, Edward, Baydin, Atılım Günes, Bhiwandiwalla, Anahita, Gal, Yarin, Kalaitzis, Alfredo, Reina, Anthony, Bhatt, Asti

High energy particles originating from solar activity travel along the the Earth's magnetic field and interact with the atmosphere around the higher latitudes. These interactions often manifest as aurora in the form of visible light in the Earth's io

Externí odkaz: http://arxiv.org/abs/1910.03085

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Prediction of GNSS Phase Scintillations: A Machine Learning Approach

Autor: Lamb, Kara, Malhotra, Garima, Vlontzos, Athanasios, Wagstaff, Edward, Baydin, Atılım Günes, Bhiwandiwalla, Anahita, Gal, Yarin, Kalaitzis, Alfredo, Reina, Anthony, Bhatt, Asti

A Global Navigation Satellite System (GNSS) uses a constellation of satellites around the earth for accurate navigation, timing, and positioning. Natural phenomena like space weather introduce irregularities in the Earth's ionosphere, disrupting the

Externí odkaz: http://arxiv.org/abs/1910.01570

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