From the Discovery of Radiation Belts to Space Weather Perspectives

2001 ◽  
pp. 79-102 ◽  
Author(s):  
Joseph F. Lemaire
Keyword(s):  
Space Weather ◽  
Radiation Belts

Space Weather Effects in the Earth’s Radiation Belts

2017 ◽  
pp. 371-430
Author(s):  
D. N. Baker ◽  
P. J. Erickson ◽  
J. F. Fennell ◽  
J. C. Foster ◽  
A. N. Jaynes ◽  
...  
Keyword(s):  
Space Weather ◽  
Radiation Belts ◽  
Weather Effects ◽  
Earth's Radiation Belts

scholarly journals Space weather research: Earth's radiation belts

Space Weather ◽  
2017 ◽  
Vol 15 (6) ◽  
pp. 742-745 ◽  
Author(s):  
Louis J. Lanzerotti ◽  
Daniel N. Baker
Keyword(s):  
Space Weather ◽  
Radiation Belts ◽  
Weather Research ◽  
Earth's Radiation Belts

scholarly journals Space weather impacts on satellites and forecasting the Earth's electron radiation belts with SPACECAST

Space Weather ◽  
2013 ◽  
Vol 11 (4) ◽  
pp. 169-186 ◽  
Author(s):  
R. B. Horne ◽  
S. A. Glauert ◽  
N. P. Meredith ◽  
D. Boscher ◽  
V. Maget ◽  
...  
Keyword(s):  
Space Weather ◽  
Radiation Belts ◽  
Electron Radiation ◽  
Weather Impacts

scholarly journals Space weather effects on the MAGION-4 and MAGION-5 solar cells

2005 ◽  
Vol 23 (9) ◽  
pp. 3111-3113 ◽  
Author(s):  
P. Tříska ◽  
A. Czapek ◽  
J. Chum ◽  
F. Hruška ◽  
J. Šimůnek ◽  
...  
Keyword(s):  
Solar Cells ◽  
Solar Activity ◽  
Output Power ◽  
Space Weather ◽  
Radiation Belts ◽  
High Solar Activity ◽  
Solar Array ◽  
Weather Effects ◽  
Array Output ◽  
Array Efficiency

Abstract. Data on solar array efficiency measured on board two Czech MAGION micro-satellites between August 1995 and June 2002, during the period of increasing and high solar activity, were used to study the space weather effects on photo-voltaic solar cells. A stronger degradation of the solar array was observed on MAGION-5 in comparison with MAGION-4. This fact can be explained by the essential difference between the two orbits. The MAGION-5 s/c was in the radiation belts more than 40% of the time, whereas the MAGION-4 was only present about 4% of the time. The experimental data refer to periods of low as well as high solar activity, with an enhanced occurrence of strong solar events. The evaluation of the data set covering a period of more than 6 years has shown that solar proton flares can have an almost immediate effect on the solar array efficiency. However, in the case of MAGION-5, an important role in solar cell degradation is played by the long-term effect of energetic particles in the radiation belts. Periods with a distinctly steeper decrease in the solar array output power were observed and can be explained by an increase of particle flux density in the radiation belts. Periods in slower decline of the solar array output power correspond to periods in low radiation belt indices based on the NOAA POES s/c data.

scholarly journals Space Weather Effects in the Earth’s Radiation Belts

2017 ◽  
Vol 214 (1) ◽  
Author(s):  
D. N. Baker ◽  
P. J. Erickson ◽  
J. F. Fennell ◽  
J. C. Foster ◽  
A. N. Jaynes ◽  
...  
Keyword(s):  
Space Weather ◽  
Radiation Belts ◽  
Weather Effects ◽  
Earth's Radiation Belts

scholarly journals An operational approach to forecast the Earth’s radiation belts dynamics

2021 ◽  
Author(s):  
Guillerme Bernoux ◽  
Antoine Brunet ◽  
Éric Buchlin ◽  
Miho Janvier ◽  
Angélica Sicard
Keyword(s):  
Space Weather ◽  
Network Architecture ◽  
Short Term Memory ◽  
Binary Classification ◽  
High Energy ◽  
Radiation Belts ◽  
Point Of View ◽  
Evaluation Methodology ◽  
Time Lags ◽  
System Operator

The Ca  index is a time-integrated geomagnetic index that correlates well with the dynamics of high-energy electron fluxes in the outer radiation belts. Therefore Ca can be used as an indicator for the state of filling of the radiation belts for those electrons. Ca also has the advantage of being a ground-based measurement with extensive historical records. In this work, we propose a data-driven model to forecast Ca up to 24 hours in advance from near-Earth solar wind parameters. Our model relies mainly on a recurrent neural network architecture called Long Short Term Memory that has shown good performances in forecasting other geomagnetic indices in previous papers. Most implementation choices in this study were arbitrated from the point of view of a space system operator, including the data selection and split, the definition of a binary classification threshold, and the evaluation methodology. We evaluate our model (against a linear baseline) using both classical and novel (in the space weather field) measures. In particular, we use the Temporal Distortion Mix (TDM) to assess the propensity of two time series to exhibit time lags. We also evaluate the ability of our model to detect storm onsets during quiet periods. It is shown that our model has high overall accuracy, with evaluation measures deteriorating in a smooth and slow trend over time. However, using the TDM and binary classification forecast evaluation metrics, we show that the forecasts lose some of their usefulness in an operational context even for time horizons shorter than 6 hours. This behaviour was not observable when evaluating the model only with metrics such as the root-mean-square error or the Pearson linear correlation. Considering the physics of the problem, this result is not surprising and suggests that the use of more spatially remote data (such as solar imaging) could improve space weather forecasts.

Europe's First Space Weather Think Tank

Space Weather ◽  
2004 ◽  
Vol 2 (4) ◽  
pp. n/a-n/a ◽  
Author(s):  
Anna Belehaki ◽  
Jean Lilensten ◽  
Toby Clark
Keyword(s):  
Space Weather ◽  
Think Tank

The Space Weather Journal: How It Began

Space Weather ◽  
2003 ◽  
Vol 1 (1) ◽  
pp. n/a-n/a ◽  
Author(s):  
Robert Robinson
Keyword(s):  
Space Weather

Large Turnout for First-Ever European Space Weather Week

Space Weather ◽  
2005 ◽  
Vol 3 (1) ◽  
pp. n/a-n/a
Author(s):  
Sarah Simpson
Keyword(s):  
Space Weather
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