E-LIB Suche - Ergebnisse für: Camporeale, E.

1

Our Vision for JGR: Machine Learning and Computation:

Camporeale, E. ; Marino, R. ; the Editorial Board
Journal of Geophysical Research: Machine Learning and Computation. 1 (2024) 1 - p. , 2024

Link: https://doi.org/10.1029/..

2

Space Weather Modeling at the University of Colorado Deep L..:

, In: 2024 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM),

Camporeale, E. ; Hu, A. ; Lucas, G... - p. 342-342 , 2024

Link: https://doi.org/10.23919..

3

Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity ..:

Hu, A. ; Camporeale, E. ; Swiger, B.
Space Weather. 21 (2023) 4 - p. , 2023

Link: https://doi.org/10.1029/..

4

Data‐Driven Discovery of Fokker‐Planck Equation for the Ear..:

Camporeale, E. ; Wilkie, George J. ; Drozdov, Alexander Y..
Journal of Geophysical Research: Space Physics. 127 (2022) 7 - p. , 2022

Link: https://doi.org/10.1029/..

5

Machine Learning Methods Applied to the Global Modeling of ..:

Kluth, G. ; Ripoll, J.-F. ; Has, S....
Frontiers in Physics. 10 (2022) - p. , 2022

Link: https://doi.org/10.3389/..

6

Probabilistic Prediction of Dst Storms One‐Day‐Ahead Using ..:

Hu, A. ; Shneider, C. ; Tiwari, A..
Space Weather. 20 (2022) 8 - p. , 2022

Link: https://doi.org/10.1029/..

7

Exploring pitch-angle diffusion during high speed streams w..:

, In: 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC),

Ripoll, J.-F. ; Kluth, G. ; Has, S.... - p. 1-4 , 2022

Link: https://doi.org/10.23919..

8

Connecting large-scale velocity and temperature bursts with..:

Feraco, F. ; Marino, R. ; Primavera, L....
EPL (Europhysics Letters). 135 (2021) 1 - p. 14001 , 2021

Link: https://doi.org/10.1209/..

9

A Gray‐Box Model for a Probabilistic Estimate of Regional G..:

Camporeale, E. ; Cash, M. D. ; Singer, H. J....
Journal of Geophysical Research: Space Physics. 125 (2020) 11 - p. , 2020

Link: https://doi.org/10.1029/..

10

The Challenge of Machine Learning in Space Weather: Nowcast..:

Camporeale, E.
Space Weather. 17 (2019) 8 - p. 1166-1207 , 2019

Link: https://doi.org/10.1029/..

11

On the Generation of Probabilistic Forecasts From Determini..:

Camporeale, E. ; Chu, X. ; Agapitov, O. V..
Space Weather. 17 (2019) 3 - p. 455-475 , 2019

Link: https://doi.org/10.1029/..

12

Space Weather in the Machine Learning Era: A Multidisciplin..:

Camporeale, E. ; Wing, S. ; Johnson, J...
Space Weather. 16 (2018) 1 - p. 2-4 , 2018

Link: https://doi.org/10.1002/..

13

Coherent Structures and Spectral Energy Transfer in Turbule..:

Camporeale, E. ; Sorriso-Valvo, L. ; Califano, F..
Physical Review Letters. 120 (2018) 12 - p. , 2018

Link: https://doi.org/10.1103/..

14

Multiple‐Hour‐Ahead Forecast of the Dst Index Using a Combi..:

Gruet, M. A. ; Chandorkar, M. ; Sicard, A..
Space Weather. 16 (2018) 11 - p. 1882-1896 , 2018

Link: https://doi.org/10.1029/..

15

Probabilistic forecasting of the disturbance storm time ind..:

Chandorkar, M. ; Camporeale, E. ; Wing, S.
Space Weather. 15 (2017) 8 - p. 1004-1019 , 2017

Link: https://doi.org/10.1002/..