2004
DOI: 10.1016/j.asr.2004.03.016
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Day-to-day variability of ionospheric characteristics in the American sector

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Cited by 30 publications
(30 citation statements)
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“…The peak electron density ( N m F 2 ) of the ionosphere varies from day to day with a standard deviation of typically about 20% by day and 33% by night [ Rishbeth and Mendillo , 2001]. Since the day‐to‐day variability is of great importance to the development of empirical models such as the International Reference Ionosphere [ Bilitza , 2001], extensive studies have been made to reveal the dependence of the ionosphere on local time, seasonal and solar activity in different regions [e.g., Forbes et al , 2000; Kouris and Fotiadis , 2002; Ezquer et al , 2004; Zhang et al , 2004; Dabas et al , 2006]. As discussed by Forbes et al [2000] and Fuller‐Rowell et al [2000], the day‐to‐day variability, which is greater in the region of the equatorial ionization anomaly (EIA) area and at high latitudes, is attributed to “solar,” “geomagnetic,” and “other” causes.…”
Section: Introductionmentioning
confidence: 99%
“…The peak electron density ( N m F 2 ) of the ionosphere varies from day to day with a standard deviation of typically about 20% by day and 33% by night [ Rishbeth and Mendillo , 2001]. Since the day‐to‐day variability is of great importance to the development of empirical models such as the International Reference Ionosphere [ Bilitza , 2001], extensive studies have been made to reveal the dependence of the ionosphere on local time, seasonal and solar activity in different regions [e.g., Forbes et al , 2000; Kouris and Fotiadis , 2002; Ezquer et al , 2004; Zhang et al , 2004; Dabas et al , 2006]. As discussed by Forbes et al [2000] and Fuller‐Rowell et al [2000], the day‐to‐day variability, which is greater in the region of the equatorial ionization anomaly (EIA) area and at high latitudes, is attributed to “solar,” “geomagnetic,” and “other” causes.…”
Section: Introductionmentioning
confidence: 99%
“…Many research works have been conducted on that matter, one to obtain knowledge of the variability of ionospheric characteristics (e.g., Ezquer et al, 2004;Rishbeth and Mendillo, 2001;Forbes et al, 2000) and others to model the ionospheric variability (e.g., Araujo-Pradere et al, 2005Mendillo et al, 2002). The ionospheric variability quantified at the midlatitude F region electron density peak reveals the following main pattern: it is larger by night, about 33%, than by day, about 20% (Rishbeth and Mendillo, 2001); it increases from typical values of 10-15% in summer to maximum values of 15-40% in winter (Araujo-Pradere et al, 2005); and the variability tends to increase with geomagnetic activity in winter and equinox but remained fairly constant in summer (Araujo-Pradere et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…For many applications, the users of ionospheric models need to know not only the monthly average condition but also the expected deviation from the mean, or median, values. Many authors have studied the variability of ionospheric parameters using different indexes (Aravindan and Iyer, 1990;Jayachandran et al, 1995;Mosert and Radicella, 1995;Bradley, 2000;Gulyaeva and Mahajan, 2001;Radicella and Adeniyi, 2001;Rishbeth and Mendillo, 2001;Ezquer et al, 2002Ezquer et al, , 2004Kouris and Fotiadis, 2002;Mosert et al, 2002;Ezquer and Mosert, 2007;among others).…”
Section: Day-to-day Variability Of H Mmentioning
confidence: 99%
“…Taking into account that the distribution of ionospheric magnitudes is not a normal distribution and that the median and quartiles have the advantage of being less affected by large deviations which can occur during magnetic storms, we use, in this paper, the variability index proposed by Ezquer et al (2004) and Ezquer and Mosert (2007): C up -C lo where C up = upper quartile/median and C lo = lower quartile/median. Figure 7 illustrates the variations of the daily hourly values of H m together with the corresponding monthly medians at El Arenosillo for the representative months of the four seasons-winter (January), spring (April), summer (July) and fall (October)-for the HSA year 2000 (a, b, c, d) and the LSA year 2007 (e, f, g, h).…”
Section: Day-to-day Variability Of H Mmentioning
confidence: 99%