TY - JOUR

T1 - The development of a space climatology

T2 - 1. Solar-wind magnetosphere coupling as a function of timescale and the effect of data gaps

AU - Lockwood, Mike

AU - Bentley, Sarah N.

AU - Owens, Mathew J.

AU - Barnard, Luke A.

AU - Scott, Chris J.

AU - Watt, Clare E.

AU - Allanson, Oliver

PY - 2019/1

Y1 - 2019/1

N2 - Different terrestrial space weather indicators (such as geomagnetic indices, transpolar voltage, and ring current particle content) depend on different ?coupling functions? (combinations of near-Earth solar wind parameters) and previous studies also reported a dependence on the averaging timescale, $tau. We study the relationships of the am and SME geomagnetic indices to the power input into the magnetosphere P$alpha, estimated using the optimum coupling exponent $alpha for a range of $tau between 1 min and 1 year. The effect of missing data is investigated by introducing synthetic gaps into near-continuous data and the best method for dealing with them when deriving the coupling function, is formally defined. Using P$alpha, we show that gaps in data recorded before 1995 have introduced considerable errors into coupling functions. From the near-continuous solar wind data for 1996-2016, we find $alpha = 0.44 plus/minus 0.02 and no significant evidence that $alpha depends on $tau, yielding P$alpha = B 0.88 Vsw 1.90 (mswNsw) 0.23 sin4($theta/2), where B is the Interplanetary Magnetic Field (IMF), Nsw the solar wind number density, msw its mean ion mass, Vsw its velocity and $theta is the IMF clock angle in the Geocentric Solar Magnetospheric reference frame. Values of P$alpha that are accurate to within plus/minus 5996-2016 have an availability of 83.8% and the correlation between P$alpha and am for these data is shown to be 0.990 (between 0.972 and 0.997 at the 2$sigma uncertainty level), 0.897 plus/minus 0.004, and 0.790 plus/minus 0.03, for $tau of 1 year, 1 day and 3 hours, respectively, and that between Palpha and SME at $tau of 1 min. is 0.7046 plus/minus 0.0004.

AB - Different terrestrial space weather indicators (such as geomagnetic indices, transpolar voltage, and ring current particle content) depend on different ?coupling functions? (combinations of near-Earth solar wind parameters) and previous studies also reported a dependence on the averaging timescale, $tau. We study the relationships of the am and SME geomagnetic indices to the power input into the magnetosphere P$alpha, estimated using the optimum coupling exponent $alpha for a range of $tau between 1 min and 1 year. The effect of missing data is investigated by introducing synthetic gaps into near-continuous data and the best method for dealing with them when deriving the coupling function, is formally defined. Using P$alpha, we show that gaps in data recorded before 1995 have introduced considerable errors into coupling functions. From the near-continuous solar wind data for 1996-2016, we find $alpha = 0.44 plus/minus 0.02 and no significant evidence that $alpha depends on $tau, yielding P$alpha = B 0.88 Vsw 1.90 (mswNsw) 0.23 sin4($theta/2), where B is the Interplanetary Magnetic Field (IMF), Nsw the solar wind number density, msw its mean ion mass, Vsw its velocity and $theta is the IMF clock angle in the Geocentric Solar Magnetospheric reference frame. Values of P$alpha that are accurate to within plus/minus 5996-2016 have an availability of 83.8% and the correlation between P$alpha and am for these data is shown to be 0.990 (between 0.972 and 0.997 at the 2$sigma uncertainty level), 0.897 plus/minus 0.004, and 0.790 plus/minus 0.03, for $tau of 1 year, 1 day and 3 hours, respectively, and that between Palpha and SME at $tau of 1 min. is 0.7046 plus/minus 0.0004.

KW - space climate

KW - solar wind power

KW - solar wind coupling

KW - geomagnetic activity

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85058185488&partnerID=MN8TOARS

U2 - 10.1029/2018SW001856

DO - 10.1029/2018SW001856

M3 - Article

SN - 1542-7390

VL - 17

SP - 133

EP - 156

JO - Space Weather

JF - Space Weather

IS - 1

ER -