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Filtering by: Creator Aaron J Ridley Creator Mukhopadhyay, Agnit Creator Shibaji Chakrabarty Keyword MI Coupling Language Fortran90 Language IDL Language Python Discipline Science

Data Pertaining to Initial Simulations Using the Conductance Model for Extreme Events

Creator:

Mukhopadhyay, Agnit, Daniel T Welling, Michael W Liemohn, Aaron J Ridley, Shibaji Chakrabarty, and Brian J Anderson

Description:

An updated auroral conductance module is built for global models, using nonlinear regression & empirical adjustments to span extreme events., Expanded dataset raises the ceiling of conductance values, impacting the ionospheric potential dB/dt & dB predictions during extreme events., and Application of the expanded model with empirical adjustments refines the conductance pattern, and improves dB/dt predictions significantly.

Keyword:

Space Weather Forecasting, Extreme Weather, Ionosphere, Magnetosphere, MI Coupling, Ionospheric Conductance, Auroral Conductance, Aurora, SWMF, SWPC, Nonlinear Regression, and dB/dt

Citation to related publication:

Mukhopadhyay, A., Welling, D. T., Liemohn, M. W., Ridley, A. J., Chakraborty, S., & Anderson, B. J. (2020). Conductance Model for Extreme Events: Impact of Auroral Conductance on Space Weather Forecasts. Space Weather, 18(11), e2020SW002551. https://doi.org/10.1029/2020SW002551

Discipline:

Engineering and Science

Data Pertaining to Initial Simulations Using the Conductance Model for Extreme Events

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Data Pertaining to Initial Simulations Using the Conductance Model for Extreme Events

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