Data-driven numerical simulations of equatorial spread F in the Peruvian sector

被引:21
|
作者
Hysell, D. L. [1 ]
Jafari, R. [1 ]
Milla, M. A. [2 ]
Meriwether, J. W. [3 ]
机构
[1] Cornell Univ, Ithaca, NY 14850 USA
[2] Jicamarca Radio Observ, Lima, Peru
[3] Clemson Univ, Clemson, SC USA
基金
美国国家科学基金会;
关键词
equatorial spread F; space weather; numerical forecast; ionospheric irregularities; INTERCHANGE INSTABILITY; NONLINEAR EVOLUTION; EVENING IONOSPHERE; REGION IONOSPHERE; IRREGULARITIES; TURBULENCE; RADAR; SHEAR; VELOCITIES; ELECTROJET;
D O I
10.1002/2014JA019889
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Ionospheric state parameters including plasma number density and vector drift velocity profiles were measured at the Jicamarca Radio Observatory during a campaign running from 12 to 18 April 2013. Neutral winds were measured by the red-line Fabry Perot interferometer at Jicamarca. Coherent radar backscatter from plasma irregularities associated with equatorial spread F (ESF) was also recorded. A numerical simulation of ionospheric irregularities, initialized and forced using parameterizations derived from a combination of measurements and empirical models, was used to try to reproduce the ESF activity that occurred on three different nights. Simulations were able to recover the salient features of the irregularities that formed in each case and produce bottom-type, bottomside, and topside ESF. Realistic simulations require the accurate representation of the vertical currents that generate irregularities initially at the base of the F region as well as the zonal currents necessary for irregularities to expand in altitude and penetrate to the topside. The campaign data, numerical simulations, and protocols used to associate them are presented and evaluated.
引用
收藏
页码:3815 / 3827
页数:13
相关论文
共 50 条
  • [1] Data-driven numerical simulations and forecasts of equatorial spread F in the Peruvian sector
    Hysell, D. L.
    Milla, M. A.
    2014 XXXITH URSI GENERAL ASSEMBLY AND SCIENTIFIC SYMPOSIUM (URSI GASS), 2014,
  • [2] Data-driven numerical simulations of equatorial spread F in the Peruvian sector 3: Solstice
    Hysell, D. L.
    Milla, M. A.
    Condori, L.
    Vierinen, J.
    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2015, 120 (12) : 10809 - 10822
  • [3] Data-driven numerical simulations of equatorial spread F in the Peruvian sector: 2. Autumnal equinox
    Hysell, D. L.
    Milla, M. A.
    Condori, L.
    Meriwether, J. W.
    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2014, 119 (08) : 6981 - 6993
  • [4] Three-Dimensional Numerical Simulations of Equatorial Spread F: Results and Diagnostics in the Peruvian Sector
    Aveiro, H. C.
    Hysell, D. L.
    MODELING THE IONOSPHERE-THERMOSPHERE SYSTEM, 2013, 201 : 241 - 250
  • [5] On the Genesis of Postmidnight Equatorial Spread F: Results for the American/Peruvian Sector
    Zhan, Weijia
    Rodrigues, Fabiano S.
    Milla, Marco A.
    GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (15) : 7354 - 7361
  • [6] NUMERICAL SIMULATIONS OF NONLINEAR EQUATORIAL SPREAD-F
    ZALESAK, ST
    OSSAKOW, SL
    MCDONALD, BE
    CHATURVEDI, PK
    TRANSACTIONS-AMERICAN GEOPHYSICAL UNION, 1977, 58 (12): : 1202 - 1202
  • [8] Three-dimensional numerical simulations of equatorial spread F: Results and observations in the Pacific sector
    Aveiro, H. C.
    Hysell, D. L.
    Caton, R. G.
    Groves, K. M.
    Klenzing, J.
    Pfaff, R. F.
    Stoneback, R.
    Heelis, R. A.
    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2012, 117
  • [9] SimInf: An R Package for Data-Driven Stochastic Disease Spread Simulations
    Widgren, Stefan
    Bauer, Pavol
    Eriksson, Robin
    Engblom, Stefan
    JOURNAL OF STATISTICAL SOFTWARE, 2019, 91 (12): : 1 - 42
  • [10] Numerical Considerations in the Simulation of Equatorial Spread F
    Li, Zezhong
    Lei, Jiuhou
    Zhang, Binzheng
    JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS, 2021, 126 (10)