Two methods to analyze radial diffusion ensembles: The perils of space- and time-dependent diffusion

被引:0
|
作者
Bentley, S. N. [1 ]
Stout, J. R. [2 ]
Thompson, R. L. [2 ]
Ratliff, D. J. [1 ]
Watt, C. E. J. [1 ]
机构
[1] Northumbria Univ, Dept Maths Phys & Elect Engn, Newcastle Upon Tyne, England
[2] Univ Reading, Dept Meteorol, Reading, England
基金
英国自然环境研究理事会; 英国工程与自然科学研究理事会;
关键词
DATA ASSIMILATION; BELT ELECTRONS; RELATIVISTIC ELECTRONS; WAVE; MODEL; ACCELERATION; SIMULATIONS; COEFFICIENT; REANALYSIS; TRANSPORT;
D O I
10.1063/5.0217268
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
Particle dynamics in Earth's outer radiation belt can be modeled using a diffusion framework, where large-scale electron movements are captured by a diffusion equation across a single adiabatic invariant, L * ( L ) . While ensemble models are promoted to represent physical uncertainty, as yet there is no validated method to analyze radiation belt ensembles. Comparisons are complicated by the domain dependent diffusion, since diffusion coefficient D L L is dependent on L. We derive two tools to analyze ensemble members: time to monotonicity t m and mass/energy moment quantities N , E . We find that the Jacobian ( 1 / L-2 ) is necessary for radiation belt error metrics. Components of partial derivative E / partial derivative t are explicitly calculated to compare the effects of outer and inner boundary conditions, and loss, on the ongoing diffusion. Using t(m) , N , and E , we find that: (a) different physically motivated choices of outer boundary condition and location result in different final states and different rates of evolution; (b) the gradients of the particle distribution affect evolution more significantly than D-LL ; (c) the enhancement location, and the amount of initial background particles, are both significant factors determining system evolution; (d) loss from pitch-angle scattering is generally dominant; it mitigates but does not remove the influence of both initial conditions and outer boundary settings, which are due to the L-dependence of D-LL. We anticipate that this study will promote renewed focus on the distribution gradients, on the location and nature of the outer boundary in radiation belt modeling, and provide a foundation for systematic ensemble modeling. (c) 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license
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页数:24
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