Characterizing Extreme Geomagnetic Storms Using Extreme Value Analysis: A Discussion on the Representativeness of Short Data Sets-Reference-Cited by-同舟云学术

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Characterizing Extreme Geomagnetic Storms Using Extreme Value Analysis: A Discussion on the Representativeness of Short Data Sets

Published:2020-06 Issue:6 Volume:18 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Bernoux G.¹^ORCID,Maget V.¹^ORCID

Affiliation:

1. ONERA/DPHYUniversité de Toulouse Toulouse France

Funder

Centre National d’Etudes Spatiales

Office National d'études et de Recherches Aérospatiales

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020SW002450

Reference39 articles.

1. Energy coupling between the solar wind and the magnetosphere

2. Geoeffectiveness of corotating interaction regions as measured byDstindex

3. The three-hour-range index measuring geomagnetic activity

4. Understanding the variability of magnetic storms caused by ICMEs

5. The Magnetic Electron Ion Spectrometer (MagEIS) Instruments Aboard the Radiation Belt Storm Probes (RBSP) Spacecraft

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1. Electron radiation belt safety indices based on the SafeSpace modelling pipeline and dedicated to the internal charging risk;Annales Geophysicae;2023-08-04

2. Forecasting the Geomagnetic Activity Several Days in Advance Using Neural Networks Driven by Solar EUV Imaging;Journal of Geophysical Research: Space Physics;2022-10

3. NARX Neural Network Derivations of the Outer Boundary Radiation Belt Electron Flux;Space Weather;2022-05

4. Relativistic Electron Model in the Outer Radiation Belt Using a Neural Network Approach;Space Weather;2021-12

5. Reconstruction of the Radiation Belts for Solar Cycles 17–24 (1933–2017);Space Weather;2021-03

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