Abstract
This contribution reports on the INPE activity on prediction of the atmospheric electronic content by the SUPIM model. The model was modified to be employed as an operational system to simulate the atmospheric ionization process, as well as to compute the electron and ions concentration. The operational version includes a parallel processing, data assimilation, a correction factor for additional model stability, and several routines for post-processing. The operational SUPIM is executed everyday, and the forecasting period is 24 hours ahead.
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References
Bailey, G.J., Sellek, R.: A mathematical model of the Earth’s plasmasphere and its application on a study of He+ at L = 3. Ann. Geophys. 8, 171–190 (1990)
Bailey, G.J., Balan, N.: A low-latitude ionosphere-plasmasphere model. In: Schunk, R.W. (ed.) STEP Handbook on Ionospheric Models, pp. 173–206. Utah State University, USA (1996)
Daley, R.: Atmospherics Data Analysis. Cambridge University Press, New York (1991)
Hoke, J., Anthes, R.: The initialization of numerical models by a dynamic relaxation technique. Mon. Weather Rev. 104, 1551–1556 (1976)
Jakowsky, N., Mayer, C. Hoque, M.M., Wilken, V.: Total electron content models and their use in ionosphere monitoring. Radio Sci. 46, RS0D18 (2011)
Kalnay, E.: Atmospheric Modeling, Data Assimilation and Predictability. Cambridge University Press, Cambridge (2003)
Klipp, T.S., Petry, A., Souza, J.R., Falcão, G.S., Campos Velho, H.F., Paula, E.R., Antreich, F., Hoque, M., Kriegel, M., Berdermann, J., JoKowisky, N., Fernandez-Gomez, I., Borries, C., Sto, H., Wilken, V.: Evaluation of ionospheric models for Central and South Americas. Adv. Space Res. 64, 2521–2136 (2019)
Li, J., Heap, A.D.: A review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors. Eco. Inform. 6, 228–241 (2011)
[SUPIM-2014] [SUPIM-2014] Petry, A., Souza, J.R., Campos Velho, H.F., Pereira, A.G., Bailey, G.J.: First results of operational ionospheric dynamics prediction for the Brazilian Space Weather program. Adv. Space Res. 54, 22–36 (2015)
Petry, A., Pereira, A.G., Souza, J.R.: Approximate nearest neighbors searching algorithm for low-dimensional grid locations. Earth Sci. Inf. 10, 1–14 (2016)
Richards, P.G., Fennelly, J.A., Torr, D.G.: EUVAC: A solar EUV flux model for aeronomic calculations. J. Geophys. Res. Space Phys. 99, 8981–8992 (1994)
Stauffer, D.R., Seman, N.L.: Multiscale four-dimensional data assimilation. J. Appl. Meteorol. 33, 416–434 (1994)
Tobiska, W., Woods, T., Eparvier, F., Viereck, R., Floyd, L., Bouwer, D., Rottman, G., White, O.: The SOLAR2000 empirical solar irradiance model and forecast tool. J. Atmos. Sol. Terr. Phys. 62, 1233–1250 (2000)
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Velho, H.F.d.C. et al. (2023). Topics on Space Weather: Operational Numerical Prediction for Electron Content. In: Constanda, C., Bodmann, B.E., Harris, P.J. (eds) Integral Methods in Science and Engineering. IMSE 2022. Birkhäuser, Cham. https://doi.org/10.1007/978-3-031-34099-4_7
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DOI: https://doi.org/10.1007/978-3-031-34099-4_7
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