A Gray‐Box Model for a Probabilistic Estimate of Regional Ground Magnetic Perturbations: Enhancing the NOAA Operational Geospace Model With Machine Learning-Reference-Cited by-同舟云学术

A Gray‐Box Model for a Probabilistic Estimate of Regional Ground Magnetic Perturbations: Enhancing the NOAA Operational Geospace Model With Machine Learning

Published:2020-10-31 Issue:11 Volume:125 Page:
ISSN:2169-9380
Container-title:Journal of Geophysical Research: Space Physics
language:en
Short-container-title:J. Geophys. Res. Space Physics

Author:

Camporeale E.¹²^ORCID,Cash M. D.³,Singer H. J.³^ORCID,Balch C. C.³^ORCID,Huang Z.⁴,Toth G.⁴^ORCID

Affiliation:

1. CIRES University of Colorado Boulder Boulder CO USA

2. Center for Mathematics and Computer Science (CWI) Amsterdam Netherlands

3. Space Weather Prediction Center NOAA Boulder CO USA

4. Department of Climate and Space Sciences and Engineering University of Michigan Ann Arbor MI USA

Funder

Rhode Island Space Grant Consortium

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019JA027684

Reference49 articles.

1. The complex-image method for calculating the magnetic and electric fields produced at the surface of the Earth by the auroral electrojet

2. The effects of geomagnetic disturbances on electrical systems at the Earth's surface

3. The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting

4. Introduction

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