Enrico Camporeale

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    A[Enrico Camporeale]
    AC["Associated Concepts (23)"]
    AW["Authored Works (21)"]
    CA["Linked Co-Authors (35)"]
    CI["Linked Collaborating Institutions (25)"]
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ORCiD

https://orcid.org/0000-0002-7862-6383

OpenAlex ID

https://openalex.org/A5054362485 (API record)

Associated Concepts [?]

• Physics
• Computer science
• Quantum mechanics
• Nuclear physics
• Mathematics
• Plasma
• Geography
• Geology
• Magnetic field
• Meteorology
• Thermodynamics
• Artificial intelligence
• Statistics
• Machine learning
• Engineering
• Electron
• Astronomy
• Philosophy
• Operating system
• Mechanics
• Biology
• Chemistry
• Statistical physics

Authored Works

sorted by decreasing year, and then by display-name

• Synthetic solar wind generator
• Space-Filtering Approach for Localized Dissipative Phenomena in Stratified Turbulent Flows
• Physics-informed Machine Learning prediction of ambient solar wind speed.
• One-Hour-Ahead Horizontal Geoelectric Fields Forecast Using Uncertainty-Quantification-based Machine Learning method
• Merging Short and Long Lead-time Dst Probabilistic Forecasts
• Innovative Uncertainty-Quantification based Ensemble Machine Learning Method on Extreme Space Weather Events
• Ensemble Modeling of Radiation Belt Electron Acceleration by Chorus Waves: Dependence on Key Input Parameters
• A Revised Database of CME Characteristics from In-situ and Remote Observations
• A Monte Carlo Markov Chain Approach to the Probabilistic Drag Based Model for Coronal Mass Ejection Propagation
• Ten ways to apply machine learning in the Earth and Space Sciences
• Space Weather Model Validation at the NOAA Space Weather Prediction Center
• Physics-informed dimensionality reduction of direct numerical simulations of stratified turbulent flows using convolutional autoencoders
• Machine learning based discovery of missing physical processes in radiation belt modeling
• Machine Learning Methods Applied to the Global Modeling of Event-Driven Pitch Angle Diffusion Coefficients During High-Speed Streams
• Interpretable Machine Learning Methods for forecasting the SYM-H Index
• Forecasting Radiation Belt Electron Flux Using Machine-learned Parameters for Radial Transport Equation
• Data-driven discovery of the governing equations describing radiation belt dynamics
• A Predictive Geoelectric Field Model: Development, Results, and Challenges
• A Next Generation Space Weather Particle Precipitation Model: Mature machine learning approaches, multiscale mesoscale prediction, and an open science framework for machine learning
• A Machine Learning Dataset Prepared from the SoHO Mission for Space Weather Readiness
• 1-to-3 days ahead probabilistic prediction of Dst storms using Full-Disk SoHO Images

Linked Co-Authors

• Adam Kellerman
• Ajay Tiwari
• Alexander Drozdov
• Andong Hu
• Anna Kelbert
• B. M. Swiger
• Carl Shneider
• Donglai Ma
• E. Adamson
• E. J. Rigler
• Fabio Feraco
• Giovanni Lapenta
• Gábor Tóth
• H. M. Bain
• Howard J. Singer
• J. F. Ripoll
• J. W. Gjerloev
• Jacob Bortnik
• Jannis Teunissen
• M. Codrescu
• M. J. Owens
• Man Hua
• Naomi Maruyama
• Q. Ma
• R. A. Steenburgh
• R. Erdélyi
• Raffaello Foldes
• Ryan McGranaghan
• Shasha Zou
• Silvio Sergio Cerri
• Spencer Hatch
• T. I. Gombosi
• Tuija Pulkkinen
• Tzu‐Wei Fang
• Yang Chen

Linked Collaborating Institutions

• Atmospheric & Space Technology Research Associates (ASTRA)
• Boston University, Massachusetts
• Centre National de la Recherche Scientifique, France
• Dartmouth College, New Hampshire
• Direction des Applications Militaires, Ile-de-France
• Ecole Centrale de Lyon, France
• Johns Hopkins University, Applied Physics Laboratory
• Katholieke University of Leuven, Belgium
• National Center for Atmospheric Research, High Altitude Observatory
• National Oceanic and Atmospheric Administration, Boulder
• Tor Vergata University, Rome, Italy
• U.S. Department of the Navy, Naval Research Laboratory, Washington DC
• U.S. Geological Survey
• Universite Pierre et Marie Curie (Paris VI), France
• University of Amsterdam, Netherlands
• University of Bergen, Norway
• University of Calgary, Canada
• University of California, Los Angeles
• University of Coimbra, Portugal
• University of Colorado, Boulder
• University of L'Aquila, Italy
• University of Michigan
• University of Michigan, Department of Atmospheric Oceanic and Space Sciences
• University of Reading, UK
• University of Sheffield, UK

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