Bibliography



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Found 5 entries in the Bibliography.


Showing entries from 1 through 5


2014

Separation of the ribbon from globally distributed energetic neutral atom flux using the first five years of IBEX observations

Schwadron, NA; Moebius, E; Fuselier, SA; McComas, DJ; Funsten, HO; Janzen, P; Reisenfeld, D; Kucharek, H; Lee, MA; Fairchild, K; , others;

Published by: The Astrophysical Journal Supplement Series      Published on:

YEAR: 2014     DOI:

Configuration of the local interstellar magnetic field

Frisch, Priscilla; Andersson, B; Berdhyugin, A; Funsten, HO; DeMajistre, R; Magalhaes, A; McComas, D; , Piirola; Schwadron, N; Seriacopi, D; , others;

Published by:       Published on:

YEAR: 2014     DOI:

2013

The K p index and solar wind speed relationship: Insights for improving space weather forecasts

The Kp geomagnetic index forecasts are currently used to predict the aurora, MeV electron fluxes at geosynchronous, spacecraft anomalies and charging events, and times when accurate geological surveys can be performed. Many Kp forecasts rely on the upstream solar wind speed since the speed strongly correlates with the Kp index. However, the distribution of Kp and solar wind speed measurements is quite broad. To understand how common certain combinations of Kp and speed are, we plot the percentage of points in two-dimensional Kp and speed bins using a color scale. Using these color Kp-solar wind speed distributions for compressions, rarefactions, and Interplanetary Coronal Mass Ejections separately, we find that much of the variability in the Kp-solar wind speed distribution is attributable to the dynamic interaction between the fast and slow wind. We compare three different criteria for identifying compressions and rarefactions and find that density criteria provide greater separation between compressions and rarefactions than dynamic pressure or speed-time slope criteria. However, the speed-time slope provides enough separation to be useful given that the solar wind speed has a long autocorrelation time and can be predicted using solar observations (e.g., expansion factor models). To ensure our work can easily be incorporated into forecast models, we provide the Kp-speed distributions files for all three methods of identifying compressions and rarefactions. We describe a method to extend forecast lead times by estimating compression strength with a speed-time profile obtained from solar wind speed predictions based on solar, coronal, and/or heliospheric imaging observations.

Elliott, Heather; Jahn, Jörg-Micha; McComas, David;

Published by: Space Weather      Published on: 06/2013

YEAR: 2013     DOI: 10.1002/swe.20053

Kp; solar wind speed; space weather forecasts

The Kp index and solar wind speed relationship: Insights for improving space weather forecasts

The Kp geomagnetic index forecasts are currently used to predict the aurora, MeV electron fluxes at geosynchronous, spacecraft anomalies and charging events, and times when accurate geological surveys can be performed. Many Kp forecasts rely on the upstream solar wind speed since the speed strongly correlates with the Kp index. However, the distribution of Kp and solar wind speed measurements is quite broad. To understand how common certain combinations of Kp and speed are, we plot the percentage of points in two-dimensional Kp and speed bins using a color scale. Using these color Kp-solar wind speed distributions for compressions, rarefactions, and Interplanetary Coronal Mass Ejections separately, we find that much of the variability in the Kp-solar wind speed distribution is attributable to the dynamic interaction between the fast and slow wind. We compare three different criteria for identifying compressions and rarefactions and find that density criteria provide greater separation between compressions and rarefactions than dynamic pressure or speed-time slope criteria. However, the speed-time slope provides enough separation to be useful given that the solar wind speed has a long autocorrelation time and can be predicted using solar observations (e.g., expansion factor models). To ensure our work can easily be incorporated into forecast models, we provide the Kp-speed distributions files for all three methods of identifying compressions and rarefactions. We describe a method to extend forecast lead times by estimating compression strength with a speed-time profile obtained from solar wind speed predictions based on solar, coronal, and/or heliospheric imaging observations.

Elliott, Heather; Jahn, Jörg-Micha; McComas, David;

Published by: Space Weather      Published on:

YEAR: 2013     DOI: https://doi.org/10.1002/swe.20053

space weather forecasts; Kp; solar wind speed

2010

Evolving outer heliosphere: Large-scale stability and time variations observed by the Interstellar Boundary Explorer

McComas, DJ; Bzowski, M; Frisch, P; Crew, GB; Dayeh, MA; DeMajistre, R; Funsten, HO; Fuselier, SA; Gruntman, M; Janzen, P; , others;

Published by: Journal of Geophysical Research: Space Physics      Published on:

YEAR: 2010     DOI:



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