A method for foF2 short-term prediction with 1–24 hour lead times is proposed. It is based on ΔfoF2 (deviation of hourly foF2 from running median) regression with the previous ΔfoF2 observations and hourly spline-interpolated daily Ap index. An optimum training time interval of 25–30 days, which is close to one solar rotation, has been...
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January 29, 2021 (v1)PublicationUploaded on: February 4, 2024
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January 28, 2021 (v1)Publication
Monthly median empirical models IRI-95 and NeUoG were compared with incoherent scatter EISCAT and Millstone Hill observations as well as with El Arenosillo Digisonde N e (h) bottomside profiles. A comparison was made for various seasons, levels of solar activity, daytime and night-time hours. The results on the topside comparison: 1) the IRI-95...
Uploaded on: January 27, 2024 -
January 29, 2021 (v1)Publication
Ionosphere monitoring implies: observations, prediction and mapping of ionospheric parameters. A case with one available (El Arenosillo) ionosonde is considered. Some statistical methods for f0F2 short-term (1-24 h in advance) prediction are compared. The analysis of multi-dimensional regression for Df0F2 (relative deviation from running...
Uploaded on: February 4, 2024 -
January 29, 2021 (v1)Publication
Seasonal variations of hmE and f0F2 are analyzed using El Arenosillo digisonde observations during solar minimum (1995-1996). Unlike some widely used empirical models daytime hmE show seasonal variations with winter hmE being higher than summer ones and seasonal differences increase with solar zenith angle. Model calculations enable us to...
Uploaded on: January 27, 2024