Correlation between the global occurrences of ionospheric irregularities and deep atmospheric convective clouds in the intertropical convergence zone (ITCZ)
© Su et al.; licensee Springer. 2014
Received: 4 March 2014
Accepted: 24 September 2014
Published: 6 November 2014
To study the seeding mechanism of ionospheric irregularity occurrences, a correlation study has been carried out between the global monthly/latitudinal (m/l) distributions of irregularity occurrences and the deep atmospheric convective clouds in the intertropical convergence zone (ITCZ) indicated by the outgoing longwave radiation (OLR) measurements. Seven longitude sectors - the African, Indian, West Pacific, Central Pacific, East Pacific, South American, and Atlantic sectors - are selected to study the correlations between the two distributions. The results indicate that good correlations exist only in the South American sector and to some extent in the African sector. For the other five sectors, no correlations are found in the m/l distributions between the irregularities and OLRs. This implies that the gravity wave induced in the ITCZ cannot be the sole seeding agent for the Rayleigh-Taylor (RT) instability in the global irregularity occurrences every season. We suspect that the post-sunset ionospheric electrodynamic perturbations could be the prevailing seeds for the RT instability globally year long. Together with the favorable post-sunset ionospheric condition, the global m/l distributions of irregularity occurrences could be adequately explained.
The post-sunset equatorial ionospheric density irregularity occurrences, or the so-called equatorial spread F (ESF) events, have been studied extensively with in situ rocket and satellite measurements; from ground experiments with radars, scintillation measurements, and radio sounders; and with computer simulations (see, e.g., Woodman and LaHoz1976; McClure et al.1977; Kelley and McClure1981; Ossakow1981; Keskinen et al.1981; Kelley et al.1982; Hysell and Burcham1998; Huba et al.2008; Retterer2010). Many experimental studies have resulted in the well-known global seasonal/longitudinal (s/l) distributions of ionospheric irregularity occurrence rates (Aarons1982,1993; Maruyama and Maturra1984; Tsunoda1985,2010a,[c]; Watanabe and Oya1986; Kil and Heelis1998; McClure et al.1998; Huang et al.2002; Burke et al.2004, Hei et al.2005; Su et al.2006; Gentile et al.2006; Stolle et al.2006; Park et al.2013).
The cause of density irregularity occurrences seems to originate from a hierarchy of multi-step non-local plasma process involving an interchange instability that includes collisional and collisionless Rayleigh-Taylor (RT) and instabilities, and drift waves driven by coupled electrodynamics and neutral atmosphere processes (Hanson et al.1973; Harerendel1973; Ossakow1981; Keskinen et al.1981; Sultan1996). The growth of a linearized RT instability depends on the existence of a steep, upward plasma density gradient in the bottomside ionosphere after sunset. When the sunset terminator is closely aligned with the equatorial magnetic flux tube, a large longitudinal conductivity gradient will result. This then induces a large pre-reversal enhancement of vertical drift velocity that raises the post-sunset ionosphere to become susceptible to the RT instability (Abdu et al.1982; Mendillo et al.1992; Fejer et al.1999). Tsunoda (1985) has indeed demonstrated that the seasonal variation in the alignment of the sunset terminator with the geomagnetic field line at the dip equator can explain the observed s/l distributions of scintillations with high occurrences at longitudes of positive (negative) magnetic declination during June (December) solstice and at longitudes of null magnetic declinations in the equinoxes. Thus, the observed s/l distributions of irregularity occurrences exhibit a high occurrence of irregularities during a season at a longitude sector for a so-called ‘ESF season’ versus ‘non-ESF season’ in a different season of fewer irregularity occurrences.
Since the seeding mechanism is always needed for the RT instability, the global s/l distributions of the seeding agent should have a good correlation with the global s/l distributions of irregularity occurrences. Among the perturbation seeds studied in recent years, the atmospheric gravity wave has been considered as the most likely seed for the RT instability (Rottger1981; Hysell et al.1990; Huang et al.1993; Huang and Kelley1996; McClure et al.1998; Tsunoda2010a,[c]).
As the atmospheric gravity waves will appear during a severe weather, we will use the space-observed deep atmospheric convective clouds in the intertropical convergence zone (ITCZ) as the proxy of gravity wave occurrences in the following study. Correlation between the irregularity occurrences and the ITCZ cloud distributions was first suggested in the report of McClure et al. (1998) and then extensively studied by Tsunoda (2010a,[c]) who demonstrated that the atmospheric gravity waves generated in the ITCZ can serve as seeds of the RT instabilities during solstices at some longitude sectors. Here, we will carry out a similar study of correlation using a better temporal/spatial resolution in the monthly/latitudinal (m/l) distributions of density irregularity occurrences obtained by ROCSAT and the deep atmospheric convective clouds observed with the outgoing longwave radiation (OLR) measurements in the ITCZ. The monthly variation in the latitudinal migration of the cloud system and the irregularity occurrences can be studied for a better topographic correlation, and the linear regression analysis between the two variables at a longitude sector year long will confirm if the atmospheric gravity wave can indeed seed the RT instability globally every season.
Cloud climatology in the ITCZ
Observations of highly reflective clouds (HRC) from space have been used to represent the tropical climatology in the ITCZ in the past (Waliser et al.1993). Recently, the OLR observation has been used to measure the deep atmospheric convection in the ITCZ (Waliser and Gautier1993; Gu and Zhang2002). To coincide with the mission period of ROCSAT, we use the NOAA 14 and 16 observed OLR distributions during the same time period for the current study (http://www.esrl.noaa.gov/psd/data/gridded/data.interp_OLR.html).
The global s/l distributions of OLR observations are shown in the lower panel for each season in Figure 1. The resolution is 2.5° by 2.5° in the geographic bin. The unit of OLR occurrence is day/month, and the frequency of occurrence is indicated by the color coding. The occurrence of OLR is defined as the OLR measurement below 200 W/m2 in each bin per day. When the OLR measurement is below 205 W/m2, a deep atmospheric convection will occur (Gu and Zhang2002). A gravity wave is then assumed to exist in the deep convective clouds. The frequency of OLR occurrences represents the frequency of gravity wave occurrences. It should be noted that weak gravity waves could occur in the OLR measurements above 200 W/m2. However, for the climatological study of correlation between irregularities and gravity waves, using a well-defined threshold to assure for the gravity wave occurrences in the OLRs will result in a clear conclusion.
A white dotted line is drawn along the geographic equator in the plot of OLR observations to highlight the seasonal variation in the latitudinal migration of OLR occurrences between hemispheres. This is to contrast the irregularity distribution seen in the upper panel for the same season.
Longitudinal occurrence distributions between irregularities and OLRs
Longitude ranges and magnetic declinations in the seven longitude sectors
10° to 40° E
60° to 100° E
110° to 150° E
160° E to 160° W
100° to 140° W
45° to 75° W
10° to 40° W
We first notice in Figure 2 that the general pattern of the monthly variation of OLRs indicates an upside down V shape (sometimes broken) with the observed OLRs moving to the northern hemisphere around the June solstice and to the southern hemisphere around the December solstice caused by the seasonal variation of solar radiation effect. However, there are two sectors, the East Pacific and Atlantic sectors, where the OLRs stay in the northern hemisphere even in the December solstice. This is caused by the additional effect of sea surface temperature. In contrast, the irregularity occurrences remain around the dip equator with no latitudinal migration but exhibit the occurrence variations between the ESF season and non-ESF season. Thus, in the seven longitude sectors, similar m/l distributions between the irregularities and OLRs are noticed only in the South American sector. This is because the dip equator is located in the southern hemisphere in the South American sector where the ESF season appears in the December solstice due to negative magnetic declination. As the observed OLR moves to the southern hemisphere during the December solstice, the two occurrence distributions coincide with each other. This observation has been noted by Tsunoda (2010a,[c]).
On the other hand, no correlation exists between the irregularities and OLRs during the June solstice in the Central Pacific sector where the magnetic declination is positive. This is because high irregularity occurrences appear during the June solstice in the northern hemisphere in this sector, but the northward migration of OLRs is delayed in this oceanic region due to warmer sea surface temperature so that high occurrences of OLRs shift to the September equinox. The magnetic declination in the East Pacific sector is also positive, but the dip equator cuts across the geographic equator to move to the southern hemisphere so that high occurrences of irregularities shift to the September equinox and appear in the southern hemisphere, whereas the OLRs still stay in the northern hemisphere and fail to correlate with the irregularity occurrences. Similar observations can be applied to the other four sectors where the seasonal migrations of OLR occurrences between the two hemispheres do not correlate with the irregularity occurrences that stay around the dip equator.
Here, we have separated the plots in the figure into two parts in four rows. Plots in the first and the third row are the monthly occurrences of irregularities and OLRs. The bar chart shows the number of days in a month for the OLR occurrence, and the red dotted line shows the irregularity occurrence rate. For the plots in the second and the fourth rows, linear regression of the monthly occurrences between the irregularities and OLRs in a longitude sector is shown. The linear regression analyses indicate that the African, South American, and Atlantic sectors have positive correlations between the irregularities and OLRs, while the Indian, West Pacific, Central Pacific, and East Pacific sectors have a negative correlation.
From the results of the linear regression together with the graphic comparison between the monthly occurrence variations of irregularities and OLRs in the upper panels for each longitude sector shown in Figure 3, we will state that the irregularity and OLR occurrences in the South American sector indicates a very good correlation. The number of OLR occurrences that is twice as high as the number of irregularity occurrences can provide a constant seeding activity. In addition, the irregularity and OLR occurrences in the African sector seem to indicate a good correlation because the latitude range has been narrowed to around the dip equator so that a large number of OLRs that appear in the southern hemisphere during the December solstice are excluded (cf. Figure 2). However, the occurrence rate of OLRs in days/month is about half of the occurrence rate of irregularities from April to September. On the other hand, the positive correlation that appears in the Atlantic sector should not indicate a good correlation because the irregularity occurrence rate varies drastically from 4% to 20% in June to December solstice, while the OLR occurrence rate stays flat at about 3 days/month (10%) year long. No correlation conclusion is also drawn for the East Pacific sector where a negative regression is noticed and the OLR occurrences are low to compare with high irregularity occurrences from June to October. Similarly, no correlation is concluded for the Indian, West Pacific, and Central Pacific sectors, because the correlations are negative between the irregularities and OLRs and the OLRs are more abundant than the irregularities.
Therefore, the quantitative study from the linear regression analysis of the m/l distributions of irregularities and OLRs indicates that the two distributions have good correlations year long only in the South American and African sectors. No correlation is found for the other five longitude sectors.
Discussions and conclusions
Correlation studies carried out between the m/l distributions of density irregularities and the m/l distributions of OLR observations in the ITCZ as the proxy of gravity wave occurrences at seven longitude sectors indicate that good correlations between the irregularities and OLRs only exist in the South American sector and to some extent in the African sector. For the other five longitude sectors, the monthly occurrence distributions between the irregularities and OLRs do not correlate with each other topographically or in the linear regression analysis. The irregularity occurrences are either much higher than the OLR occurrences in some months as in the Atlantic sector or, the other way around, much lower than the OLR occurrences as in the Indian, West Pacific, and Central Pacific sectors. When the OLR occurrences are smaller than the occurrences of irregularities, it implies that the gravity wave cannot be the only seed for the RT instability. On the other hand, when many OLRs result in a few irregularities, the effectiveness of gravity wave seeding is in doubt. This could be due to the fact that the induced gravity wave generated in the ITCZ is blocked by the wind filtering effect around the mesospheric height in the upward propagation from the troposphere to the ionosphere (Mukherjee et al.2010) or by the polarization factor of the gravity wave that fails to trigger the irregularity occurrences (Tsunoda2010b). Therefore, the current study concludes that the gravity wave induced in the convective clouds in the OLRs of ITCZ cannot be the sole seeding agent for the RT instability to produce irregularities year long at many longitude sectors.
Our conclusion may seem different from what has been published by Tsunoda (2010a,[c]) who concluded that the evidence of gravity wave seeding is compelling because high occurrences of irregularities correlate with high occurrences of OLRs in the South American, African, and West Pacific sectors during solstices, and low occurrences of OLRs correspond to low irregularities at the East Pacific sector. Our finding is the same with Tsunoda's for the South American and African sectors, but the result of good correlation has been extended year long. On the other hand, we found no correlation for the West Pacific and East Pacific sectors when the data is studied for every season (month). As the current study is to see if the gravity wave can serve as seeds of the RT instability globally at every longitude sector year long, the condition of gravity wave seeding becomes more stringent than what has been studied by Tsunoda (2010a,[c]). With a better data availability and resolution in the m/l distributions of irregularities and OLRs, we found no correlation between the irregularities and OLRs at five out of seven longitude sectors every month.
The reason for the lack of correlation at so many longitude sectors between the irregularities and OLRs, in our opinion, is due to the fact that the former is an electrodynamic phenomenon that occurs near the magnetic equator, while the latter is a meteorological phenomenon that appears around the geographic equator and migrates across the equator with season. Since the magnetic equator is offset with respect to the geographic equator, the two phenomena rarely coincide with each other topographically in the m/l distributions at a longitude sector except in the South American sector and to some extent in the African sector. Furthermore, factors that were mentioned before to affect the gravity wave seeding of the RT instability could also result in many no-correlation conclusions in the Indian and West Pacific sectors.
As the gravity wave induced in the ITCZ cannot directly become seeds for the RT instability globally year long, we would think the electrodynamic perturbations in the ion (electron) density and vertical drift velocity in the lower F region to be the seeds of the RT instability. Close relationship of the electrodynamic perturbations with the irregularity occurrences in the post-sunset ionosphere has been discussed by Hysell (2000) and Mendillo et al. (2001). The occurrences of electrodynamic perturbation have further been discussed by Abdu and Brum (2009) as due to changes in the longitudinal/local-time gradients of E-region conductivities caused by the vertical coupling process in the atmosphere-ionosphere system in the low-latitude region. The electrodynamic coupling process comes from the upward propagating atmospheric waves, such as tidal modes, planetary waves, and gravity waves. We would think that large perturbations will occur at locations where the post-sunset pre-reversal enhancements of vertical drift velocity are higher so that the global s/l distributions of irregularity occurrences can be readily explained. As for electrodynamic perturbations to become seeds of an instability process, numerical simulation by Yokoyama (2013) has shown that random electrodynamic perturbations without specific scale size will excite an instability process in the mid-latitude E-F region to result in medium-scale traveling disturbances with a size of 100 to 200 km. Whether a similar process will occur in the equatorial region needs to be studied further. However, evolution of electrodynamic perturbations to become seeds of the RT instability for the equatorial irregularity occurrences seems a definitive possibility. Finally, the relationship between the large-scale wave structure (LSWS) observed as the precursor of irregularity occurrences (Tsunoda2008; Tsunoda et al.2011; Li et al.2012; Tulasi Ram et al.2014) and the post-sunset density perturbation also needs further examination.
The work was supported in part with a grant from the USA AFOSR project AOARD 11-4040 and in part with a grant from the Taiwan project NSC100-2111-M-008-010. We also thank the reviewers for critical comments which enhanced the readability of this report.
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