scholarly journals Temporal Evolution of the Solar Wind Bulk Velocity at Solar Minimum by Correlating the STEREO A and B PLASTIC Measurements

Solar Physics ◽  
2009 ◽  
Vol 256 (1-2) ◽  
pp. 365-377 ◽  
Author(s):  
A. Opitz ◽  
R. Karrer ◽  
P. Wurz ◽  
A. B. Galvin ◽  
P. Bochsler ◽  
...  
Keyword(s):  
Solar Wind ◽  
Solar Minimum ◽  
Temporal Evolution ◽  
Bulk Velocity

scholarly journals Temporal Evolution of the Solar-Wind Electron Core Density at Solar Minimum by Correlating SWEA Measurements from STEREO A and B

Solar Physics ◽  
2010 ◽  
Vol 266 (2) ◽  
pp. 369-377 ◽  
Author(s):  
A. Opitz ◽  
J.-A. Sauvaud ◽  
A. Fedorov ◽  
P. Wurz ◽  
J. G. Luhmann ◽  
...  
Keyword(s):  
Solar Wind ◽  
Solar Minimum ◽  
Temporal Evolution ◽  
Core Density ◽  
Solar Wind Electron

scholarly journals Venus ion outflow estimates at solar minimum: Influence of reference frames and disturbed solar wind conditions

2013 ◽  
Vol 118 (6) ◽  
pp. 3592-3601 ◽  
Author(s):  
T. Nordström ◽  
G. Stenberg ◽  
H. Nilsson ◽  
S. Barabash ◽  
T. L. Zhang
Keyword(s):  
Solar Wind ◽  
Solar Minimum ◽  
Reference Frames ◽  
Ion Outflow

scholarly journals Extremely low geomagnetic activity during the recent deep solar cycle minimum

2011 ◽  
Vol 7 (S286) ◽  
pp. 200-209 ◽  
Author(s):  
E. Echer ◽  
B. T. Tsurutani ◽  
W. D. Gonzalez
Keyword(s):  
Solar Wind ◽  
Solar Cycle ◽  
Geomagnetic Activity ◽  
Solar Minimum ◽  
Solar Wind Speed ◽  
Sunspot Cycle ◽  
Cycle Minimum ◽  
Current Minimum ◽  
Solar Wind Parameters ◽  
Xix Century

AbstractThe recent solar minimum (2008-2009) was extreme in several aspects: the sunspot number, Rz, interplanetary magnetic field (IMF) magnitude Bo and solar wind speed Vsw were the lowest during the space era. Furthermore, the variance of the IMF southward Bz component was low. As a consequence of these exceedingly low solar wind parameters, there was a minimum in the energy transfer from solar wind to the magnetosphere, and the geomagnetic activity ap index reached extremely low levels. The minimum in geomagnetic activity was delayed in relation to sunspot cycle minimum. We compare the solar wind and geomagnetic activity observed in this recent minimum with previous solar cycle values during the space era (1964-2010). Moreover, the geomagnetic activity conditions during the current minimum are compared with long term variability during the period of available geomagnetic observations. The extremely low geomagnetic activity observed in this solar minimum was previously recorded only at the end of XIX century and at the beginning of the XX century, and this might be related to the Gleissberg (80-100 years) solar cycle.

A neural network-based mid-term prognosis of geomagnetic storms that uses pre-storm effects related to current sheets and magnetic islands

2021 ◽  
Author(s):  
Mikhail Fridman
Keyword(s):  
Solar Wind ◽  
Solar Minimum ◽  
High Speed ◽  
Geomagnetic Storms ◽  
Magnetic Islands ◽  
Solar Wind Density ◽  
Short Term ◽  
Storm Effects ◽  
Term Forecast ◽  
Advance Time

<p>Mid-term prognoses of geomagnetic storms require an improvement since theу are known to have rather low accuracy which does not exceed 40% in solar minimum. We claim that the problem lies in the approach. Current mid-term forecasts are typically built using the same paradigm as short-term ones and suggest an analysis of the solar wind conditions typical for geomagnetic storms. According to this approach, there is a 20-60 minute delay between the arrival of a geoeffective flow/stream to L1 and the arrival of the signal from the spacecraft to Earth, which gives a necessary advance time for a short-term prognosis. For the mid-term forecast with an advance time from 3 hours to 3 days, this is not enough. Therefore, we have suggested finding precursors of geomagnetic storms observed in the solar wind. Such precursors are variations in the solar wind density and the interplanetary magnetic field in the ULF range associated with crossings of magnetic cavities in front of the arriving geoeffective high-speed streams and flows (Khabarova et al., 2015, 2016, 2018; Adhikari et al., 2019). Despite some preliminary studies have shown that this might be a perspective way to create a mid-term prognosis (Khabarova 2007; Khabarova & Yermolaev, 2007), the problem of automatization of the prognosis remained unsolved.</p>

scholarly journals The Electrostatic Potential of Interplanetary Grains

1980 ◽  
Vol 90 ◽  
pp. 303-308
Author(s):  
J.P.J. Lafon ◽  
P. L. Lamy ◽  
J. M. Millet
Keyword(s):  
Solar Wind ◽  
Electrostatic Potential ◽  
Plasma Sheath ◽  
New Method ◽  
Bulk Velocity

A new method is presented for calculating the electrostatic potential of cosmic grains taking into account the plasma sheath and its bulk velocity. Results for various solar wind situations are given.

scholarly journals Solar cycle changes in the geo-effectiveness of small-scale solar wind turbulence measured by Wind and ACE at 1 AU

2007 ◽  
Vol 25 (5) ◽  
pp. 1183-1197 ◽  
Author(s):  
M. L. Parkinson ◽  
R. C. Healey ◽  
P. L. Dyson
Keyword(s):  
Solar Wind ◽  
Solar Cycle ◽  
Solar Minimum ◽  
Large Scale ◽  
Small Scale ◽  
Scaling Exponent ◽  
Mhd Turbulence ◽  
Scaling Exponents ◽  
Solar Wind Turbulence ◽  
Wind Turbulence

Abstract. Multi-scale structure of the solar wind in the ecliptic at 1 AU undergoes significant evolution with the phase of the solar cycle. Wind spacecraft measurements during 1995 to 1998 and ACE spacecraft measurements during 1997 to 2005 were used to characterise the evolution of small-scale (~1 min to 2 h) fluctuations in the solar wind speed vsw, magnetic energy density B2, and solar wind ε parameter, in the context of large-scale (~1 day to years) variations. The large-scale variation in ε most resembled large-scale variations in B2. The probability density of large fluctuations in ε and B2 both had strong minima during 1995, a familiar signature of solar minimum. Generalized Structure Function (GSF) analysis was used to estimate inertial range scaling exponents aGSF and their evolution throughout 1995 to 2005. For the entire data set, the weighted average scaling exponent for small-scale fluctuations in vsw was aGSF=0.284±0.001, a value characteristic of intermittent MHD turbulence (>1/4), whereas the scaling exponents for corresponding fluctuations in B2 and ε were aGSF=0.395±0.001 and 0.334±0.001, respectively. These values are between the range expected for Gaussian fluctuations (1/2) and Kolmogorov turbulence (1/3). However, the scaling exponent for ε changed from a Gaussian-Kolmogorov value of 0.373±0.005 during 1997 (end of solar minimum) to an MHD turbulence value of 0.247±0.004 during 2003 (recurrent fast streams). Changes in the characteristics of solar wind turbulence may be reproducible from one solar cycle to the next.

Quiet-time solar wind superhalo electrons at solar minimum

2013 ◽  
Author(s):  
Linghua Wang ◽  
Robert P. Lin ◽  
Chadi Salem ◽  
Marc Pulupa ◽  
Davin E. Larson ◽  
...  
Keyword(s):  
Solar Wind ◽  
Solar Minimum ◽  
Quiet Time

Solar Wind Effects on the Transport of 3–10 MeV Cosmic‐Ray Electrons from Solar Minimum to Solar Maximum

2003 ◽  
Vol 594 (1) ◽  
pp. 552-560 ◽  
Author(s):  
S. E. S. Ferreira ◽  
M. S. Potgieter ◽  
D. M. Moeketsi ◽  
B. Heber ◽  
H. Fichtner
Keyword(s):  
Solar Wind ◽  
Solar Minimum ◽  
Solar Maximum ◽  
Cosmic Ray ◽  
Wind Effects

Little or no solar wind enters Venus’ atmosphere at solar minimum

Nature ◽  
2007 ◽  
Vol 450 (7170) ◽  
pp. 654-656 ◽  
Author(s):  
T. L. Zhang ◽  
M. Delva ◽  
W. Baumjohann ◽  
H.-U. Auster ◽  
C. Carr ◽  
...  
Keyword(s):  
Solar Wind ◽  
Solar Minimum ◽  
Venus Atmosphere
Sign in / Sign up

Export Citation Format

Share Document