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Prediction of the  AU ,  AL , and  AE  indices using solar wind parameters
Author(s) - 
Luo Bingxian, 
Li Xinlin, 
Temerin M., 
Liu Siqing
Publication year - 2013
Publication title - 
journal of geophysical research: space physics
Language(s) - English
Resource type - Journals
eISSN - 2169-9402
pISSN - 2169-9380
DOI - 10.1002/2013ja019188
Subject(s) - electrojet , solar wind , interplanetary magnetic field , earth's magnetic field , physics , atmospheric sciences , geomagnetic storm , ionosphere , interplanetary spaceflight , northern hemisphere , computational physics , environmental science , geophysics , magnetic field , quantum mechanics
An empirical model that predicts the  AU  index, a measure of the Earth's east electrojet, derived from magnetometers in the Northern Hemisphere, is introduced together with an improved  AL  model which, combined with the  AU  model, produces an  AE  model. All models are based on solar wind and interplanetary magnetic field parameters and the solar  F  10.7  index for the years 1995 to 2001. The linear correlation coefficient (LC) between the 10 min averaged  AU  index and the model is 0.846 for the years 1995–2001. The LC for the updated  AL  model is 0.846, and using  AE = AU − AL , the LC for the  AE  model is 0.888. The better LC of the  AE  model over  AU  and  AL  models is because  AU  and  AL  are better correlated than their errors. The models show that (1) solar ultraviolet intensity plays a significant role in auroral activity by changing the ionospheric conductivity and scale height. Increasing solar ultraviolet intensity increases the eastward electrojet as measured by  AU  but decreases the westward electrojet as measured by  AL ; (2) solar wind dynamic pressure also affects the auroral electrojet indices, although they are much more strongly dependent on the solar wind velocity and the interplanetary magnetic field; (3)  AU  and  AL  behave differently during geomagnetic storm main phases:  AU , unlike  AL , can drop to a small value during storms; (4) the longer averaged auroral electrojets indices can be predicted well but shorter timescale variations are less predictable.
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