A nearly universal solar wind-magnetosphere coupling function inferred from 10 magnetospheric state variables
By P. Newell, T. Sotirelis, K. Liou, C. Meng, F. Rich. 2007
664 citations recorded by the source corpus.
Subfields: Astronomy and Astrophysics, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/9f0b3f702e835240130eab65fe860df75923ddac
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Astronomy and Astrophysics
In Molecular Biology
- T. Sabaka
- J. Gjerloev
- Tuija I. Pulkkinen
- P. Newell
- Nils Olsen
- Hermann Lühr
- L. Tøffner‐Clausen
- Enrico Camporeale
Citations in the corpus
- The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting (2019, methodology): “Comparing the use of BI, Newell, and Borovsky coupling functions (Borovsky, 2008; Newell et al., 2007) resulted in very similar forecasting performance, with Newell having slightly better metrics (correlation coefficient, root-mean-square error, and average relative error).”
- Geoeffective Properties of Solar Transients and Stream Interaction Regions (2017, background): “Examples of more recent coupling functions are the ones formulated by Newell et al. (2007) and Borovsky (2008).”
- Substorm Current Wedge Revisited (2015, background): “The above discussion shows that over a substorm cycle the amount of energy dissipated in the ionosphere is proportional to the intensity of the solar wind driving; the general result holds regardless of the exact form of the driving function (see, e.g., Pulkkinen et al. 2011; Newell et al. 2007).”
- Altered solar wind-magnetosphere interaction at low Mach numbers: Coronal mass ejections (2008, methodology): “For instance, the function that best couples indices of magnetospheric activity to solar wind conditions, to date, was recently found solely based on an empirical tuning procedure [e.g., Newell et al., 2007].”
- Understanding space weather to shield society: A global road map for 2015-2025 commissioned by COSPAR and ILWS (2015, methodology): “r, as yet only a poor understanding of the coupling of the heliospheric field into geomagnetic activity and the data show that more characteristics of the solar-wind field are definitely required (e.g., Newell et al., 2007). As a prospect for the future, a radio technique known as Faraday rotation (FR)”
- The US/UK World Magnetic Model for 2010-2015 (2010, methodology): “Here we use a revised definition of the merging electric field, following Newell et al. (2007) and Olsen et al.”
- Ensemble Modeling of CMEs Using the WSA–ENLIL+Cone Model (2015, methodology): “ccurate forecast in this sample, however both forecast choices show an overall tendency for the overprediction of K P. Given that the modeled CMEs do not have an internal magnetic field structure, the Newell et al. (2007) K P coupling function using ENLIL results as input performs surprisingly well. ”
- The CHAOS-4 Geomagnetic Field Model (2013, background): “Olsen (1996) found a contribution to the degree-2 order-1 spherical harmonic coefficients for geomagnetic quiet conditions (Kp = 0) of strength 1.4 nT with maximum (negative) amplitude at 23:48 MLT. 5 C O N C LU S I O N S Using more than 14 yr of continuous satellite data, augmented with revised…”
- Substorm and magnetosphere characteristic scales inferred from the SuperMAG auroral electrojet indices (2011, methodology): “[38] Neither is there a peak at nonzero values of low driving either for the Kan-Lee electric field (EKL) or for the best fit empirical coupling function, dFMP/dt [Newell et al., 2007].”
- Diffuse, monoenergetic, and broadband aurora: The global precipitation budget (2009, background): “interplanetary magnetic field (IMF) clock angle), and thus solar wind driving, we greatly improve the ability to predict auroral power [ Newell et al., 2007a ].”