Search Publications

Improving Empirical Magnetic Field Models by Fitting to In Situ Data Using an Optimized Parameter Approach
DOI: 10.1002/2017SW001702 Bibcode: 2017SpWea..15.1628B

Brito, Thiago V.; Morley, Steven K.

A method for comparing and optimizing the accuracy of empirical magnetic field models using in situ magnetic field measurements is presented. The optimization method minimizes a cost function—τ—that explicitly includes both a magnitude and an angular term. A time span of 21 days, including periods of mild and intense geomagnetic activity, was used…

2017 Space Weather
Cluster 18
The substorm cycle as reproduced by global MHD models
DOI: 10.1002/2016SW001495 Bibcode: 2017SpWea..15..131G

Gordeev, E.; Sergeev, V.; Tsyganenko, N. +7 more

Recently, Gordeev et al. (2015) suggested a method to test global MHD models against statistical empirical data. They showed that four community-available global MHD models supported by the Community Coordinated Modeling Center (CCMC) produce a reasonable agreement with reality for those key parameters (the magnetospheric size, magnetic field, and…

2017 Space Weather
Cluster 18
Nowcasting and forecasting of the magnetopause and bow shock—A status update
DOI: 10.1002/2016SW001565 Bibcode: 2017SpWea..15...36P

Petrinec, S. M.; Rastaetter, L.; Redmon, R. J.

There has long been interest in knowing the shape and location of the Earth's magnetopause and of the standing fast-mode bow shock upstream of the Earth's magnetosphere. This quest for knowledge spans both the research and operations arenas. Pertinent to the latter, nowcasting and near-term forecasting are important for determining the extent to w…

2017 Space Weather
Cluster 3