Téo Bloch
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View article: Unraveling Jupiter's Enigmatic Ionosphere: Evidence of Magnetically‐Controlled Wind‐Driven Dynamics
Unraveling Jupiter's Enigmatic Ionosphere: Evidence of Magnetically‐Controlled Wind‐Driven Dynamics Open
This study investigates the non‐solar trends and variability in Jupiter's sub‐auroral ionosphere from Pioneer, Voyager, Galileo, and Juno radio occultation electron density profiles. We show that these data are correlated with magnetic fie…
View article: Unraveling Jupiter's Enigmatic Ionosphere from Galileo and Juno Radio Occultations
Unraveling Jupiter's Enigmatic Ionosphere from Galileo and Juno Radio Occultations Open
Radio occultation measurements from the Galileo, Voyager, and Pioneer missions have unveiled many mysteries in the Jovian ionosphere. The altitudinal structure of the Jovian ionosphere appears to be highly variable, although it is difficul…
View article: Global Geomagnetic Perturbation Forecasting Using Deep Learning
Global Geomagnetic Perturbation Forecasting Using Deep Learning Open
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 …
View article: Global Geomagnetic Perturbation Forecasting Using Deep Learning
Global Geomagnetic Perturbation Forecasting Using Deep Learning Open
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 …
View article: Forecasting the Probability of Large Rates of Change of the Geomagnetic Field in the UK: Timescales, Horizons, and Thresholds
Forecasting the Probability of Large Rates of Change of the Geomagnetic Field in the UK: Timescales, Horizons, and Thresholds Open
Large geomagnetically induced currents (GICs) pose a risk to ground based infrastructure such as power networks. Large GICs may be induced when the rate of change of the ground magnetic field is significantly elevated. We assess the abilit…
View article: Constraining the Location of the Outer Boundary of Earth's Outer Radiation Belt
Constraining the Location of the Outer Boundary of Earth's Outer Radiation Belt Open
Characterizing the location of the outer boundary of the outer radiation belt is a key aspect of improving radiation belt models and helps to constrain our understanding of the mechanisms by which the source and seed electron populations a…
View article: Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress)
Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress) Open
We advance the modeling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of machine learning (ML) tools to gain utility from those data. We have compiled, curated, analyz…
View article: The magnetospheric interactions of predicted ULF wave power
The magnetospheric interactions of predicted ULF wave power Open
<p>We present and analyse a freely-available model of the power found in ultra-low frequency waves (ULF, 1-15 mHz) throughout Earth&#8217;s magnetosphere. Predictions can be used to test our understanding of magnetospheric dynami…
View article: Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition
Global Earth Magnetic Field Modeling and Forecasting with Spherical Harmonics Decomposition Open
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 spa…
View article: Constraining the Location of the Outer Boundary of Earth's Outer Radiation Belt
Constraining the Location of the Outer Boundary of Earth's Outer Radiation Belt Open
Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Earth and Space Science. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more ab…
View article: DMSP Particle Precipitation AI-ready Data
DMSP Particle Precipitation AI-ready Data Open
Description: The dataset ‘DMSP Particle Precipitation AI-ready Data’ accompanies the manuscript “Next generation particle precipitation: Mesoscale prediction through machine learning (a case study and framework for progress)” submitted to …
View article: DMSP Particle Precipitation AI-ready Data
DMSP Particle Precipitation AI-ready Data Open
Description: The dataset ‘DMSP Particle Precipitation AI-ready Data’ accompanies the manuscript “Next generation particle precipitation: Mesoscale prediction through machine learning (a case study and framework for progress)” submitted to …
View article: Random Forest Model of Ultralow‐Frequency Magnetospheric Wave Power
Random Forest Model of Ultralow‐Frequency Magnetospheric Wave Power Open
Models of magnetospheric ultralow‐frequency (ULF) waves can be used to study wave phenomena and to calculate the effect of these waves on the energization and transport of radiation belt electrons. We present a decision tree ensemble (i.e.…
View article: Statistics of solar wind electron breakpoint energies using machine learning techniques
Statistics of solar wind electron breakpoint energies using machine learning techniques Open
\nSolar wind electron velocity distributions at 1 au consist of a thermal “core” population and two suprathermal populations: “halo” and “strahl”. The core and halo are quasi-isotropic, whereas the strahl typically travels radially outward…
View article: Dataset: Random forest models of ultra-low frequency magnetospheric wave power.
Dataset: Random forest models of ultra-low frequency magnetospheric wave power. Open
Predictive models of ground-based ultra-low frequency (ULF, 1-15 mHz) wave power, corresponding to magnetospheric waves. The series of decision tree ensembles (random forests) are dependent on solar wind properties, latitude and azimuthal …
View article: Dataset: Random forest models of ultra-low frequency magnetospheric wave power.
Dataset: Random forest models of ultra-low frequency magnetospheric wave power. Open
Predictive models of ground-based ultra-low frequency (ULF, 1-15 mHz) wave power, corresponding to magnetospheric waves. The series of decision tree ensembles (random forests) are dependent on solar wind properties, latitude and azimuthal …
View article: Data-Driven Classification of Coronal Hole and Streamer Belt Solar Wind
Data-Driven Classification of Coronal Hole and Streamer Belt Solar Wind Open
We present two new solar wind origin classification schemes developed independently using unsupervised machine learning. The first scheme aims to classify solar wind into three types: coronal-hole wind, streamer-belt wind, and ‘unclassifie…
View article: Particle‐in‐cell Experiments Examine Electron Diffusion by Whistler‐mode Waves: 1. Benchmarking With a Cold Plasma
Particle‐in‐cell Experiments Examine Electron Diffusion by Whistler‐mode Waves: 1. Benchmarking With a Cold Plasma Open
Using a particle‐in‐cell code, we study the diffusive response of electrons due to wave‐particle interactions with whistler‐mode waves. The relatively simple configuration of field‐aligned waves in a cold plasma is used in order to benchma…
View article: Allanson_etal_2019_BenchmarkingPaper_InputDeck
Allanson_etal_2019_BenchmarkingPaper_InputDeck Open
Data for a JGR-Space Physics Article (2019):Particle-in-cell experiments examine electron diffusion by whistler-mode waves: 1. Benchmarking with a cold plasmaO. Allanson, C. E. J. Watt, H. Ratcliffe, N. P. Meredith, H. J. Allison, S. N. Be…