On the propagation of uncertainties in radiation belt simulations. Issue 11 (5th November 2016)

• Record Type: Journal Article
• Authors: Camporeale, Enrico; Shprits, Yuri; Chandorkar, Mandar; Drozdov, Alexander; Wing, Simon
• Is Part Of: Space weather. Volume 14:Issue 11(2016:Nov.)
• Page Start: 982
• Page End: 992
• Publication Date: 2016-11-05
• Subjects: radiation belt -- uncertainty quantification -- importance sampling; Space environment -- Periodicals; 551.509992
• DOI: 10.1002/2016SW001494
• Languages: English
• ISSNs: 1542-7390

Abstract

Abstract: We present the first study of the uncertainties associated with radiation belt simulations, performed in the standard quasi‐linear diffusion framework. In particular, we estimate how uncertainties of some input parameters propagate through the nonlinear simulation, producing a distribution of outputs that can be quite broad. Here we restrict our focus on two‐dimensional simulations (in energy and pitch angle space) of parallel‐propagating chorus waves only, and we study as stochastic input parameters the geomagnetic index K p (that characterizes the time dependency of an idealized storm), the latitudinal extent of waves, and the average electron density. We employ a collocation method, thus performing an ensemble of simulations. The results of this work point to the necessity of shifting to a probabilistic interpretation of radiation belt simulation results and suggest that an accurate specification of a time‐dependent density model is crucial for modeling the radiation environment. Key Points: Uncertainties propagate in a nonlinear way in radiation belt simulations The 2 MeV electron flux can vary by 2 orders of magnitude; this uncertainty must be reduced for forecasting Uncertainty in density estimation is the most responsible for variance in output flux