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Member Since 2012
Dr Enrico Camporeale Camporeale
Research Associate, University of Colorado Boulder
AGU Research
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Dual energy transfer driven by magnetic reconnection at sub-ion scales
MULTISCALE DYNAMICS IN MAGNETIZED TURBULENCE II ORAL
spa-solar and heliospheric physics | 13 december 2024
Raffaele Marino, Raffaello Foldes, Silvio Sergio C...
Space plasmas are multiscale multiphysics framework whose global dynamics are driven by the solar activity. At different scales and distances from the...
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The new Machine Learning driven paradigm for R2O2R in Space Weather: a few success stories from the Deep Learning Lab at SWx-TREC.
SPACE WEATHER RESEARCH TO OPERATIONS TO RESEARCH (R2O2R): SCIENTIFIC AND TECHNICAL APPROACHES AND SPACE WEATHER CENTERS II POSTER
spa-solar and heliospheric physics | 12 december 2024
Enrico Camporeale, Andong Hu, Greg Lucas, Jenny Kn...
We present an overview of the R2O2R activities performed at the Deep Learning Laboratory of the Space Weather Technology Research Education Center (Sw...
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Physics-informed machine learning forecast for ambient solar wind speed.
ADVANCING FUNDAMENTAL SPACE WEATHER RESEARCH: FLARES, CMES, SOLAR WIND, AND EARTH/PLANETARY IMPACTS V ORAL
spa-solar and heliospheric physics | 10 december 2024
Enrico Camporeale, Andong Hu
We present a new physics-informed machine learning (ML) model to forecast the background (ambient) solar wind up to 5 days ahead. Solar wind speed is ...
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A New Machine Learning Approach forPredicting Extreme Space Weather
MACHINE LEARNING FOR SPACE WEATHER I ORAL
nonlinear geophysics | 10 december 2024
Andong Hu, Enrico Camporeale
We present an innovative method, ProBoost (Probabilistic Boost-ing), for forecasting extreme space weather events using ensemble ma-chine learning (ML...
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Ensemble Modeling of Radiation Belt Electron Dynamics: Dependence on Key Input Parameters
ERROR ANALYSIS AND ACCURACY ASSESSMENTS OF GEOSPACE STATE VARIABLES POSTER
spa-aeronomy | 09 december 2024
Man Hua, Jacob Bortnik, Adam C. Kellerman, Enrico ...
The ensemble modeling technique has been embraced by the space weather community for only about 20 years and is a powerful numerical method that can h...
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One Hour Ahead Horizontal Geoelectric Fields Forecast Using a Multi-Fidelity Machine Learning method
ARTIFICIAL INTELLIGENCE (AI) FOR SCIENTIFIC DISCOVERY IN SOLAR WIND AND EARTH INTERACTION II ORAL
spa-magnetospheric physics | 09 december 2024
Andong Hu, Enrico Camporeale, Greg Lucas, Thomas E...
Geomagnetically Induced Currents (GICs) are electrical currents induced at the Earth's surface by rapid changes in the geomagnetic field caused by spa...
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Performance of Machine Learning Models in Solar Wind Classification
NEW MISSIONS AT LAGRANGE 1: SPACE WEATHER OBSERVATIONS AND HELIOSPHERIC RESEARCH POSTER
spa-solar and heliospheric physics | 09 december 2024
Lois Landwer, Mark S. Miesch, Hazel M. Bain, Geor...
The NOAA Space Weather Prediction Center (SWPC) aims to enhance forecaster situational awareness by developing models that utilize data from the Space...
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Local enhancements of the turbulent energy transfer by extreme vertical velocity drafts in stratified geophysical flows
GEOPHYSICAL FLUID DYNAMICS: PHYSICS-INFORMED MACHINE LEARNING III POSTER
nonlinear geophysics | 14 december 2023
Raffaele Marino, Raffaello Foldes, Silvio Sergio C...
Statistical analysis of the output of numerical simulations performed in a certain range of values of the Froude number (Feraco et al., 2018), as well...
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