DOI: 10.1002/2017JA024543
Scopus记录号: 2-s2.0-85045271998
论文题名: Deriving Global Convection Maps From SuperDARN Measurements
作者: Gjerloev J.W. ; Waters C.L. ; Barnes R.J.
刊名: Journal of Geophysical Research: Space Physics
ISSN: 21699380
出版年: 2018
卷: 123, 期: 4 起始页码: 2902
结束页码: 2915
语种: 英语
英文关键词: ionosphere
; ionospheric convection
; principal component regression
; SuperDARN
英文摘要: A new statistical modeling technique for determining the global ionospheric convection is described. The principal component regression (PCR)-based technique is based on Super Dual Auroral Radar Network (SuperDARN) observations and is an advanced version of the PCR technique that Waters et al. (, https//:doi.org.10.1002/2015JA021596) used for the SuperMAG data. While SuperMAG ground magnetic field perturbations are vector measurements, SuperDARN provides line-of-sight measurements of the ionospheric convection flow. Each line-of-sight flow has a known azimuth (or direction), which must be converted into the actual vector flow. However, the component perpendicular to the azimuth direction is unknown. Our method uses historical data from the SuperDARN database and PCR to determine a fill-in model convection distribution for any given universal time. The fill-in data process is driven by a list of state descriptors (magnetic indices and the solar zenith angle). The final solution is then derived from a spherical cap harmonic fit to the SuperDARN measurements and the fill-in model. When compared with the standard SuperDARN fill-in model, we find that our fill-in model provides improved solutions, and the final solutions are in better agreement with the SuperDARN measurements. Our solutions are far less dynamic than the standard SuperDARN solutions, which we interpret as being due to a lack of magnetosphere-ionosphere inertia and communication delays in the standard SuperDARN technique while it is inherently included in our approach. Rather, we argue that the magnetosphere-ionosphere system has inertia that prevents the global convection from changing abruptly in response to an interplanetary magnetic field change. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114238
Appears in Collections: 气候减缓与适应
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作者单位: Applied Physics Laboratory, The Johns Hopkins University, Laurel, MD, United States; Birkeland Center, University of Bergen, Bergen, Norway; School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, NSW, Australia
Recommended Citation:
Gjerloev J.W.,Waters C.L.,Barnes R.J.. Deriving Global Convection Maps From SuperDARN Measurements[J]. Journal of Geophysical Research: Space Physics,2018-01-01,123(4)