DE
Member Since 2012
Dr Enrico Camporeale Camporeale
Research Associate, University of Colorado Boulder
President, Nonlinear Geophysics Executive Committee; Section President, Council; Member, Nonlinear Geophysics Representative on Joint Sections; Editor-in-Chief, JGR Machine Learning and Computation Section
Professional Experience
University of Colorado Boulder
Research Associate
2019 - Present
Education
Queen Mary University of London
Doctorate
2008
Publications
Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction
The ambient solar wind plays a significant role in propagating interplanetary coronal mass ejections and is an important driver of space weather ge...
September 11, 2023
Parameter Distributions for the Drag‐Based Modeling of CME P...
September 08, 2022
AGU Abstracts
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...
View Abstract
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...
View Abstract
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 ...
View Abstract
Volunteer Experience
2023 - 2028
Editor-in-Chief
JGR Machine Learning and Computation Section
2025 - 2026
Member
Nonlinear Geophysics Representative on Joint Sections
2025 - 2026
President
Nonlinear Geophysics Executive Committee
Check out all of Dr Enrico Camporeale Camporeale’s AGU Research!
View All Research Now