Publications: Dr Enrico Camporeale

Foldes R, Marino R, Cerri SS, Camporeale E ( 2025 ) . Characterization of local energy transfer in large-scale intermittent stratified turbulent flows via coarse-graining . Physical Review Fluids vol. 10 , ( 4 )

Camporeale E, Hu A ( 2025 ) . Ambient Solar Wind Speed Forecast with Physics-Informed Machine Learning .

Foldes R, Cerri SS, Marino R, Camporeale E ( 2025 ) . Evidence of dual energy transfer driven by magnetic reconnection at sub-ion scales .

Camporeale E, Marino R, Berger T, Chen Y, Folini D, Fox G, Li X, Lucas D et al. ( 2025 ) . Thank You to Our Peer Reviewers in 2024 . Journal of Geophysical Research Machine Learning and Computation vol. 2 , ( 1 )

Lacal M, Camporeale E, Consolini G, Piersanti M ( 2025 ) . Modeling Magnetic Storms' Dynamics with Physics-Informed Neural Networks .

Hu A, Camporeale E ( 2025 ) . A New Machine Learning Approach for Predicting Extreme Space Weather .

Camporeale E ( 2025 ) . Data-Driven Discovery of Fokker-Planck Equation for the Earth's Radiation Belts Electrons Using Physics-Informed Neural Networks .

Foldes R, Cerri SS, Marino R, Camporeale E ( 2024 ) . Evidence of dual energy transfer driven by magnetic reconnection at subion scales . Physical Review E vol. 110 , ( 5 )

Hu A, Camporeale E, Lucas G, Berger T ( 2024 ) . LiveWire: Horizontal Geoelectric Field Prediction With 1‐hr Lead‐Time Using Multi‐Fidelity Boosted Neural Networks . Journal of Geophysical Research Machine Learning and Computation vol. 1 , ( 4 )

Masson A, Fung SF, Camporeale E, Kuznetsova MM, Poedts S, Barnum J, Ringuette R, De Zeeuw D et al. ( 2024 ) . Heliophysics and space weather information architecture and innovative solutions: current status and ways forward . Advances in Space Research

Mugatwala R, Chierichini S, Francisco G, Napoletano G, Foldes R, Giovannelli L, De Gasperis G, Camporeale E et al. ( 2024 ) . A catalogue of observed geo-effective CME/ICME characteristics . Journal of Space Weather and Space Climate vol. 14 ,

Camporeale E, Marino R, Board TE ( 2024 ) . Our Vision for JGR: Machine Learning and Computation . Journal of Geophysical Research Machine Learning and Computation vol. 1 , ( 1 )

Foldes R, Camporeale E, Marino R ( 2024 ) . Low-dimensional representation of intermittent geophysical turbulence with high-order statistics-informed neural networks (H-SiNN) . Physics of Fluids vol. 36 , ( 2 )

Chierichini S, Francisco G, Mugatwala R, Foldes R, Camporeale E, De Gasperis G, Giovannelli L, Napoletano G et al. ( 2024 ) . A Bayesian approach to the drag-based modelling of ICMEs . Journal of Space Weather and Space Climate vol. 14 ,

Georgoulis MK, Yardley SL, Guerra JA, Murray SA, Ahmadzadeh A, Anastasiadis A, Angryk R, Aydin B et al. ( 2024 ) . Prediction of Solar Energetic Events Impacting Space Weather Conditions . Advances in Space Research

Camporeale E, Hu A, Lucas G, Knuth J, Berger T ( 2024 ) . Space Weather Modeling at the University of Colorado Deep Learning Laboratory . Conference: 2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM) vol. 00 , 342 - 342 .

Camporeale E ( 2023 ) . Artificial Intelligence for Space Weather Forecasting . Artificial Intelligence for Space: AI4SPACE , Taylor & Francis

Issan O, Riley P, Camporeale E, Kramer B ( 2023 ) . Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind Prediction . Space Weather vol. 21 , ( 9 )

Sitnov M, Argall M, Arnold H, Camporeale E, Genestreti K, Ji H, Liu Y-H, Michael A et al. ( 2023 ) . Artificial Intelligence to Enhance Mission Science Output for In-situ Observations: Sparse Data Challenge and Gray-Box Models . Bulletin of the AAS

Mugatwala R, Francisco G, Chierichini S, Napoletano G, Foldes R, Del Moro D, Erdelyi R, Giovannelli L et al. ( 2023 ) . A revised Database of CME characteristics from in-situ and remote observations .

Camporeale E, Hu A ( 2023 ) . Physics-informed Machine Learning prediction of ambient solar wind speed .

Hu A, Camporeale E, Swiger B ( 2023 ) . Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity Boosted Neural Networks . Space Weather vol. 21 , ( 4 )

Chen Y, Maloney S, Camporeale E, Huang X, Zhou Z ( 2023 ) . Editorial: Machine learning and statistical methods for solar flare prediction . Frontiers in Astronomy and Space Sciences vol. 10 ,

Hua M, Bortnik J, Kellerman AC, Camporeale E, Ma Q ( 2023 ) . Ensemble Modeling of Radiation Belt Electron Acceleration by Chorus Waves: Dependence on Key Input Parameters . Space Weather vol. 21 , ( 3 )

Alielden K, Camporeale E, Korsós MB, Taroyan Y ( 2023 ) . Prediction Interval of Interface Regions: Machine Learning Nowcasting Approach . Space Weather vol. 21 , ( 3 )

Camporeale E ( 2023 ) . Using Unsupervised Machine Learning to make new discoveries in space data . Artificial Intelligence for Space: AI4SPACE: Trends, Applications, and Perspectives ,

Napoletano G, Foldes R, Camporeale E, de Gasperis G, Giovannelli L, Paouris E, Pietropaolo E, Teunissen J et al. ( 2022 ) . Parameter Distributions for the Drag‐Based Modeling of CME Propagation . Space Weather vol. 20 , ( 9 )

Iong D, Chen Y, Toth G, Zou S, Pulkkinen T, Ren J, Camporeale E, Gombosi T ( 2022 ) . New Findings From Explainable SYM‐H Forecasting Using Gradient Boosting Machines . Space Weather vol. 20 , ( 8 )

Hu A, Shneider C, Tiwari A, Camporeale E ( 2022 ) . Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using Full‐Disk SoHO Images . Space Weather vol. 20 , ( 8 )

Hua M, Bortnik J, Kellerman AC, Camporeale E, Ma Q ( 2022 ) . Ensemble Modeling of Radiation Belt Electron Flux Decay Following a Geomagnetic Storm: Dependence on Key Input Parameters . Space Weather vol. 20 , ( 8 )

Camporeale E, Wilkie GJ, Drozdov AY, Bortnik J ( 2022 ) . Data‐Driven Discovery of Fokker‐Planck Equation for the Earth's Radiation Belts Electrons Using Physics‐Informed Neural Networks . Journal of Geophysical Research Space Physics vol. 127 , ( 7 )

Ripoll J-F, Kluth G, Has S, Fischer A, Mougeot M, Camporeale E ( 2022 ) . Exploring pitch-angle diffusion during high speed streams with neural networks . Conference: 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) vol. 00 , 1 - 4 .

Kluth G, Ripoll J-F, Has S, Fischer A, Mougeot M, Camporeale E ( 2022 ) . Machine Learning Methods Applied to the Global Modeling of Event-Driven Pitch Angle Diffusion Coefficients During High Speed Streams . Frontiers in Physics vol. 10 ,

Tiwari A, Camporeale E, Del Moro D, Foldes R, Napoletano G, de Gasperis G, Teunissen J ( 2022 ) . CME-learn: An interactive playground to benchmark CME databases for the time of arrival (ToA) prediction for using machine learning methods .

Foldes R, Cerri SS, Marino R, Feraco F, Camporeale E ( 2022 ) . Local energy release by extreme vertical drafts in stratified geophysical flows .

McGranaghan RM, Camporeale E, Georgoulis M, Anastasiadis A ( 2021 ) . Space Weather research in the Digital Age and across the full data lifecycle: Introduction to the Topical Issue . Journal of Space Weather and Space Climate vol. 11 ,

Feraco F, Marino R, Primavera L, Pumir A, Mininni PD, Rosenberg D, Pouquet A, Foldes R et al. ( 2021 ) . Connecting large-scale velocity and temperature bursts with small-scale intermittency in stratified turbulence . EPL (Europhysics Letters) vol. 135 , ( 1 )

Bortnik J, Camporeale E ( 2021 ) . Ten Ways to Apply Machine Learning in Earth and Space Sciences . Eos vol. 102 ,

McGranaghan RM, Ziegler J, Bloch T, Hatch S, Camporeale E, Lynch K, Owens M, Gjerloev J et al. ( 2021 ) . Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress) . Space Weather vol. 19 , ( 6 )

Napoletano G, Foldes R, Berrilli F, Calchetti D, de Gasperis G, Del Moro D, Kumar Tiwari A, Teunissen J et al. ( 2021 ) . Investigating the drag-based model parameters through statistical methods .

Tiwari A, Camporeale E, Teunissen J, Foldes R, Napoletano G, Del Moro D ( 2021 ) . Predicting arrival time for CMEs: Machine learning and ensemble methods .

Camporeale E, Carè A ( 2021 ) . ACCRUE: ACCURATE AND RELIABLE UNCERTAINTY ESTIMATE IN DETERMINISTIC MODELS . International Journal for Uncertainty Quantification vol. 11 , ( 4 ) 81 - 94 .

Camporeale E, Cash MD, Singer HJ, Balch CC, Huang Z, Toth G ( 2020 ) . A Gray‐Box Model for a Probabilistic Estimate of Regional Ground Magnetic Perturbations: Enhancing the NOAA Operational Geospace Model With Machine Learning . Journal of Geophysical Research Space Physics vol. 125 , ( 11 )

Hu A, Sisti M, Finelli F, Califano F, Dargent J, Faganello M, Camporeale E, Teunissen J ( 2020 ) . Identifying Magnetic Reconnection in 2D Hybrid Vlasov Maxwell Simulations with Convolutional Neural Networks . The Astrophysical Journal vol. 900 , ( 1 )

Cerri SS, Camporeale E ( 2020 ) . Space-filter techniques for quasi-neutral hybrid-kinetic models . Physics of Plasmas vol. 27 , ( 8 )

Sarma R, Chandorkar M, Zhelavskaya I, Shprits Y, Drozdov A, Camporeale E ( 2020 ) . Bayesian Inference of Quasi‐Linear Radial Diffusion Parameters using Van Allen Probes . Journal of Geophysical Research Space Physics vol. 125 , ( 5 )

Camporeale E, Committee of ML‐Helio TSO ( 2020 ) . ML‐Helio: An Emerging Community at the Intersection Between Heliophysics and Machine Learning . Journal of Geophysical Research Space Physics vol. 125 , ( 2 )

Proverbio AM, Camporeale E, Brusa A ( 2020 ) . Multimodal Recognition of Emotions in Music and Facial Expressions . Frontiers in Human Neuroscience vol. 14 ,

Chandorkar M, Furtlehner C, Poduval B, Camporeale E, Sebag M ( 2020 ) . DYNAMIC TIME LAG REGRESSION: PREDICTING WHAT & WHEN . 8th International Conference on Learning Representations, ICLR 2020 .

Pezzi O, Cozzani G, Califano F, Valentini F, Guarrasi M, Camporeale E, Brunetti G, Retinò A et al. ( 2019 ) . ViDA: a Vlasov–DArwin solver for plasma physics at electron scales . Journal of Plasma Physics vol. 85 , ( 5 )

Camporeale E ( 2019 ) . The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting . Space Weather vol. 17 , ( 8 ) 1166 - 1207 .

Pezzi O, Valentini F, Servidio S, Camporeale E, Veltri P ( 2019 ) . Fourier–Hermite decomposition of the collisional Vlasov–Maxwell system: implications for the velocity-space cascade . Plasma Physics and Controlled Fusion vol. 61 , ( 5 )

Camporeale E, Chu X, Agapitov OV, Bortnik J ( 2019 ) . On the Generation of Probabilistic Forecasts From Deterministic Models . Space Weather vol. 17 , ( 3 ) 455 - 475 .

Gruet MA, Chandorkar M, Sicard A, Camporeale E ( 2018 ) . Multiple‐Hour‐Ahead Forecast of the Dst Index Using a Combination of Long Short‐Term Memory Neural Network and Gaussian Process . Space Weather vol. 16 , ( 11 ) 1882 - 1896 .

Camporeale E, Wing S, Johnson J ( 2018 ) . Space Weather in the Machine Learning Era . Eos vol. 99 ,

Johnson JR, Wing S, Camporeale E ( 2018 ) . Transfer entropy and cumulant-based cost as measures of nonlinear causal relationships in space plasmas: applications to Dst . Annales Geophysicae vol. 36 , ( 4 ) 945 - 952 .

Camporeale E, Sorriso-Valvo L, Califano F, Retinò A ( 2018 ) . Coherent Structures and Spectral Energy Transfer in Turbulent Plasma: A Space-Filter Approach . Physical Review Letters vol. 120 , ( 12 )

Camporeale E, Wing S, Johnson J, Jackman CM, McGranaghan R ( 2018 ) . Space Weather in the Machine Learning Era: A Multidisciplinary Approach . Space Weather vol. 16 , ( 1 ) 2 - 4 .

Carè A, Camporeale E ( 2018 ) . Chapter 4 Regression . Machine Learning Techniques for Space Weather , Elsevier

Wing S, Johnson JR, Camporeale E, Reeves GD ( 2018 ) . Chapter 6 Untangling the Solar Wind Drivers of the Radiation Belt: An Information Theoretical Approach . Machine Learning Techniques for Space Weather , Elsevier

Chandorkar M, Camporeale E ( 2018 ) . Chapter 9 Probabilistic Forecasting of Geomagnetic Indices Using Gaussian Process Models . Machine Learning Techniques for Space Weather , Elsevier

Camporeale E, Wing S, Johnson JR ( 2018 ) . Introduction . Machine Learning Techniques for Space Weatherxiii - xviii .

Camporeale E, Wing S, Johnson JR ( 2018 ) . Machine learning techniques for space weather .

Camporeale E, Carè A, Borovsky JE ( 2017 ) . Classification of Solar Wind With Machine Learning . Journal of Geophysical Research Space Physics vol. 122 , ( 11 ) 10 - 920 .

Wing S, Johnson JR, Camporeale E ( 2017 ) . Dawn‐Dusk Asymmetries in the Auroral Particle Precipitation and Their Modulations by Substorms . Dawn‐Dusk Asymmetries in Planetary Plasma Environments , Wiley

Chandorkar M, Camporeale E, Wing S ( 2017 ) . Probabilistic forecasting of the disturbance storm time index: An autoregressive Gaussian process approach . Space Weather vol. 15 , ( 8 ) 1004 - 1019 .

Camporeale E, Tronci C ( 2017 ) . Electron inertia and quasi-neutrality in the Weibel instability . Journal of Plasma Physics vol. 83 , ( 3 )

Camporeale E, Burgess D ( 2017 ) . Comparison of linear modes in kinetic plasma models . Journal of Plasma Physics vol. 83 , Article ARTN 535830201 ,

Camporeale E, Agnihotri A, Rutjes C ( 2017 ) . ADAPTIVE SELECTION OF SAMPLING POINTS FOR UNCERTAINTY QUANTIFICATION . International Journal for Uncertainty Quantification vol. 7 , ( 4 ) 285 - 301 .

Camporeale E, Shprits Y, Chandorkar M, Drozdov A, Wing S ( 2016 ) . On the propagation of uncertainties in radiation belt simulations . Space Weather vol. 14 , ( 11 ) 982 - 992 .

Wing S, Johnson JR, Camporeale E, Reeves GD ( 2016 ) . Information theoretical approach to discovering solar wind drivers of the outer radiation belt . Journal of Geophysical Research Space Physics vol. 121 , ( 10 ) 9378 - 9399 .

Vaivads A, Retino A, Soucek J, Khotyaintsev YV, Valentini F, Escoubet CP, Alexandrova O, Andre M et al. ( 2016 ) . Turbulence Heating Observer - Satellite Mission Proposal . Journal of Plasma Physics vol. 82 , 905820501 - 905820501 .

Pezzi O, Camporeale E, Valentini F ( 2016 ) . Collisional effects on the numerical recurrence in Vlasov-Poisson simulations . Physics of Plasmas vol. 23 , ( 2 )

Camporeale E, Delzanno GL, Bergen BK, Moulton JD ( 2016 ) . On the velocity space discretization for the Vlasov–Poisson system: Comparison between implicit Hermite spectral and Particle-in-Cell methods . Computer Physics Communications vol. 198 , 47 - 58 .

Camporeale E, Zimbardo G ( 2015 ) . Wave-particle interactions with parallel whistler waves: Nonlinear and time-dependent effects revealed by particle-in-cell simulations . Physics of Plasmas vol. 22 , ( 9 )

Camporeale E ( 2015 ) . Resonant and nonresonant whistlers‐particle interaction in the radiation belts . Geophysical Research Letters vol. 42 , ( 9 ) 3114 - 3121 .

Camporeale E, Hogan EA, MacDonald EA ( 2015 ) . Approximate semi-analytical solutions for the steady-state expansion of a contactor plasma . Plasma Sources Science and Technology vol. 24 , ( 2 )

Tronci C, Camporeale E ( 2015 ) . Neutral Vlasov kinetic theory of magnetized plasmas . Physics of Plasmas vol. 22 , ( 2 )

Haynes CT, Burgess D, Camporeale E, Sundberg T ( 2015 ) . Electron vortex magnetic holes: A nonlinear coherent plasma structure . Physics of Plasmas vol. 22 , ( 1 )

Camporeale E ( 2015 ) . Internal american visions of the italian Renaissance: from the <i>Gilded Age</i> to the Twenties . ARCHIVIO STORICO ITALIANO vol. 173 , ( 645 ) 483 - + .

Vásconez CL, Valentini F, Camporeale E, Veltri P ( 2014 ) . Vlasov simulations of kinetic Alfvén waves at proton kinetic scales . Physics of Plasmas vol. 21 , ( 11 )

Tronci C, Tassi E, Camporeale E, Morrison PJ ( 2014 ) . Hybrid Vlasov-MHD models: Hamiltonian vs. non-Hamiltonian . Plasma Physics and Controlled Fusion vol. 56 , ( 9 )

Haynes CT, Burgess D, Camporeale E ( 2014 ) . RECONNECTION AND ELECTRON TEMPERATURE ANISOTROPY IN SUB-PROTON SCALE PLASMA TURBULENCE . ASTROPHYSICAL JOURNAL vol. 783 , ( 1 ) Article ARTN 38 ,

Camporeale E, Delzanno GL, Zaharia S, Koller J ( 2013 ) . Reply to comment by J. M. Albert on “On the numerical simulation of particle dynamics in the radiation belt. Part I: Implicit and semi‐implicit schemes” and “On the numerical simulation of particle dynamics in the radiation belt. Part II: Procedure based on the diagonalization of the diffusion tensor” . Journal of Geophysical Research Space Physics vol. 118 , ( 12 ) 7765 - 7767 .

Delzanno GL, Camporeale E, Moulton JD, Borovsky JE, MacDonald EA, Thomsen MF ( 2013 ) . CPIC: A Curvilinear Particle-in-Cell Code for Plasma–Material Interaction Studies . IEEE Transactions on Plasma Science vol. 41 , ( 12 ) 3577 - 3587 .

Delzanno GL, Camporeale E ( 2013 ) . On particle movers in cylindrical geometry for Particle-In-Cell simulations . Journal of Computational Physics vol. 253 , 259 - 277 .

Tu W, Cunningham GS, Chen Y, Henderson MG, Camporeale E, Reeves GD ( 2013 ) . Modeling radiation belt electron dynamics during GEM challenge intervals with the DREAM3D diffusion model . Journal of Geophysical Research Space Physics vol. 118 , ( 10 ) 6197 - 6211 .

Camporeale E, Delzanno GL, Zaharia S, Koller J ( 2013 ) . On the numerical simulation of particle dynamics in the radiation belt: 1. Implicit and semi‐implicit schemes . Journal of Geophysical Research Space Physics vol. 118 , ( 6 ) 3463 - 3475 .

Camporeale E, Delzanno GL, Zaharia S, Koller J ( 2013 ) . On the numerical simulation of particle dynamics in the radiation belt: 2. Procedure based on the diagonalization of the diffusion tensor . Journal of Geophysical Research Space Physics vol. 118 , ( 6 ) 3476 - 3484 .

Camporeale E, Delzanno GL, Colestock P ( 2012 ) . Lower hybrid to whistler mode conversion on a density striation . Journal of Geophysical Research vol. 117 , ( A10 )

Welling DT, Koller J, Camporeale E ( 2012 ) . Verification of SpacePy's radial diffusion radiation belt model . Geoscientific Model Development vol. 5 , ( 2 ) 277 - 287 .

Camporeale E, Burgess D ( 2011 ) . THE DISSIPATION OF SOLAR WIND TURBULENT FLUCTUATIONS AT ELECTRON SCALES (vol 730, pg 114, 2011) . ASTROPHYS J vol. 735 , ( 1 ) Article 67 ,

Camporeale E ( 2011 ) . Nonmodal Linear Theory for Space Plasmas . Space Science Reviews vol. 172 , ( 1-4 ) 397 - 409 .

Camporeale E, Burgess D ( 2011 ) . THE DISSIPATION OF SOLAR WIND TURBULENT FLUCTUATIONS AT ELECTRON SCALES . The Astrophysical Journal vol. 730 , ( 2 )

Camporeale E ( 2011 ) . Nonmodal Linear Theory for Space Plasmas . Multi-scale Physics in Coronal Heating and Solar Wind Acceleration , vol. 38 , Springer Nature

Camporeale E, Passot T, Burgess D ( 2010 ) . IMPLICATIONS OF A NON-MODAL LINEAR THEORY FOR THE MARGINAL STABILITY STATE AND THE DISSIPATION OF FLUCTUATIONS IN THE SOLAR WIND . ASTROPHYS J vol. 715 , ( 1 ) 260 - 270 .

Camporeale E, Burgess D ( 2010 ) . ELECTRON TEMPERATURE ANISOTROPY IN AN EXPANDING PLASMA: PARTICLE-IN-CELL SIMULATIONS . ASTROPHYS J vol. 710 , ( 2 ) 1848 - 1856 .

Camporeale E, Burgess D, Passot T ( 2009 ) . Transient growth in stable collisionless plasma . PHYS PLASMAS vol. 16 , ( 3 ) Article 030703 ,

Markidis S, Camporeale E, Burgess D, Rizwan-uddin, Lapenta G ( 2009 ) . Parsek2D: An Implicit Parallel Particle-in-Cell Code . NUMERICAL MODELING OF SPACE PLASMA FLOWS: ASTRONUM-2008 . Editors: Pogorelov, NV, Audit, E, Colella, P, Zank, GP et al. , vol. 406 , 237 - 242 .

Camporeale E, Burgess D ( 2008 ) . Electron firehose instability: Kinetic linear theory and two-dimensional particle-in-cell simulations . J GEOPHYS RES-SPACE vol. 113 , ( A7 ) Article A07107 ,

Camporeale E, Delzanno GL, Lapenta G, Daughton W ( 2006 ) . New approach for the study of linear Vlasov stability of inhomogeneous systems . PHYS PLASMAS vol. 13 , ( 9 ) Article 092110 ,

Camporeale E, Lapenta G ( 2005 ) . Model of bifurcated current sheets in the Earth's magnetotail: Equilibrium and stability . J GEOPHYS RES-SPACE vol. 110 , ( A7 ) Article A07206 ,

Camporeale E ( 2002 ) . Telling Time in Florence Cathedral: the Frescoed Clock by Paolo Uccello and Coeval Tuscan Public Clocks . Interfaces vol. 19 , ( 2 ) 187 - 251 .