The relationship between DSCS III sunlit surface charging and geomagnetic activity indices

2000 ◽  
Vol 47 (6) ◽  
pp. 2224-2230 ◽  
Author(s):  
L.H. Krause ◽  
B.K. Dichter ◽  
D.J. Knipp ◽  
K.P. Ray
Keyword(s):  
Geomagnetic Activity ◽  
Surface Charging ◽  
The Relationship ◽  
Activity Indices

Seasonal variations in statistical distributions of geomagnetic activity indices

2015 ◽  
Vol 55 (4) ◽  
pp. 493-498 ◽  
Author(s):  
A. A. Nusinov ◽  
N. M. Rudneva ◽  
E. A. Ginzburg ◽  
L. A. Dremukhina
Keyword(s):  
Geomagnetic Activity ◽  
Seasonal Variations ◽  
Statistical Distributions ◽  
Activity Indices

Input Selection Based on Information Theory for Constructing Predictor Models of Solar and Geomagnetic Activity Indices

Solar Physics ◽  
2009 ◽  
Vol 258 (2) ◽  
pp. 297-318 ◽  
Author(s):  
Mohammadmahdi Rezaei Yousefi ◽  
Babak Salehi Kasmaei ◽  
Abdolhossein Vahabie ◽  
Caro Lucas ◽  
Babak Nadjar Araabi
Keyword(s):  
Information Theory ◽  
Geomagnetic Activity ◽  
Input Selection ◽  
Predictor Models ◽  
Activity Indices

Evolution of Solar and Geomagnetic Activity Indices, and Their Relationship: 1960 – 2001

Solar Physics ◽  
2011 ◽  
Vol 271 (1-2) ◽  
pp. 183-195 ◽  
Author(s):  
G. Verbanac ◽  
M. Mandea ◽  
B. Vršnak ◽  
S. Sentic
Keyword(s):  
Geomagnetic Activity ◽  
Activity Indices

scholarly journals The correlation between solar and geomagnetic activity – Part 3: An integral response model

2011 ◽  
Vol 29 (6) ◽  
pp. 1005-1018 ◽  
Author(s):  
Z. L. Du
Keyword(s):  
Solar Activity ◽  
Solar Cycle ◽  
Correlation Coefficient ◽  
Geomagnetic Activity ◽  
Decay Time ◽  
Response Model ◽  
Integral Response ◽  
Lag Times ◽  
The Relationship ◽  
Aa Index

Abstract. An integral response model is proposed to describe the relationship between geomagnetic activity (aa index) and solar activity (represented by sunspot number Rz): The aa at a given time t is the integral of Rz at past times (t'≤t) multiplied by an exponential decay factor of the time differences (e−(t−t')/τ), where τ is the decay time scale (~40 months). The correlation coefficient of aa with the reconstructed series based on this model (rf=0.85) is much higher than that of aa with Rz (r0=0.61). If this model is applied to each solar cycle, the correlation coefficient will be higher (rf=0.95). This model can naturally explain some phenomena related to aa and Rz, such as (i) the significant increase in the aa index (and its baseline) over the twentieth century; (ii) the longer lag times of aa to Rz at solar cycle maxima than at minima; and (iii) the variations in the correlations related to solar and Hale cycles. These results demonstrate that aa depends not only on the present Rz but also on past values. The profile of aa can be better predicted from Rz by this model than by point-point correspondence.

scholarly journals MLT dependence in the relationship between plasmapause, solar wind, and geomagnetic activity based on CRRES: 1990-1991

2016 ◽  
Vol 121 (5) ◽  
pp. 4397-4408 ◽  
Author(s):  
Mario Bandić ◽  
Giuli Verbanac ◽  
Mark B. Moldwin ◽  
Viviane Pierrard ◽  
Giovanni Piredda
Keyword(s):  
Solar Wind ◽  
Geomagnetic Activity ◽  
The Relationship
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