PMSE Long Term Observations Using Superdarn SANAE HF Radar Measurements
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Terr. Atmos. Ocean. Sci., Vol. 28, No. 3, 371-383, June 2017 doi: 10.3319/TAO.2016.09.19.01 PMSE long term observations using SuperDARN SANAE HF radar measurements Olakunle Ogunjobi1, 2, *, Venkataraman Sivakumar 2, Judy Ann Elizabeth Stephenson 2, and Zolile Mtumela 2 1 Center for Space Research, School for Physical and Chemical Sciences, North-West University, Potchefstroom, South Africa 2 School of Chemistry and Physics, University of KwaZulu-Natal, Durban, South Africa ABSTRACT Article history: Received 4 February 2016 It is known that the presence of nanometre-scale ice particles and neutral air Revised 10 August 2016 turbulence in the Polar summer mesosphere modify the D-region plasma, resulting Accepted 19 September 2016 in strong backscatter. These strong backscatters are referred to as Polar Mesosphere Summer Echoes (PMSE). Although studies on PMSE have been ongoing for over Keywords: three decades, aspects revealed by various instruments are still the subject of dis- SuperDARN SANAE radar, PMSE, cussion. As a sequel to the paper by Ogunjobi et al. (2015), we report on the long Mesosphere term trends and variations in PMSE occurrence probability from Super Dual Auroral Radar Network (SuperDARN) high frequency (HF) radar measurements over the Citation: South African National Antarctic Expedition IV (SANAE IV). In this current paper, Ogunjobi, O., V. Sivakumar, J. A. a simple multiple-filter technique is employed to obtain the occurrence probability E. Stephenson, and Z. Mtumela, 2017: PMSE long term observations rate for SuperDARN-PMSE during the summer periods for the years 1998 - 2007. using SuperDARN SANAE HF radar The SuperDARN-PMSE occurrence probability rate in relation to geomagnetic ac- measurements. Terr. Atmos. Ocean. tivity is examined. The mesospheric neutral winds and temperature trends during Sci., 28, 371-383, doi: 10.3319/ these periods, are further studied and presented in this paper. Both the monthly and TAO.2016.09.19.01 diurnal variations in occurrence are consistent with previous reports, confirming the presence of PMSE from SuperDARN SANAE IV radar measurements and the influ- ence of pole to pole mesospheric transport circulation. The special mesospheric mean flow observed prior to the year 2002 is ascribed to the influence of solar activity. The SuperDARN-PMSE occurrence probability peaks with lowered geomagnetic activ- ity. These present results support the hypothesis that the particle precipitation also plays an important role in SuperDARN-PMSE occurrence. 1. INTRODUCTION It has been known that from November to February mer Echoes (PMSE). In the past few years, the PMSE have in the southern hemisphere, lower temperatures (< 130 K, been closely linked to visible ice particles below 90 km al- Lübken et al. 2004) are usually found at polar latitudes titude, known as Noctilucent Clouds (NLC) (Cho and Röt- mesopause (about 90 - 100 km altitudes). This enables the tger 1997; Rapp and Lübken 2004; Smirnova et al. 2010). charging ice particles from water vapor to grow at meso- Prequel to this paper, (Ogunjobi et al. 2015), we describe pause. The interactions of these charged ice particles and how the NLC and PMSE arise from the ice particle growth mesospheric air turbulence, initiated by propagating gravity in an extremely low Polar summer mesospheric temperature waves, results in strong radar backscatter echoes (bragg’s periods. Both NLC and PMSE are good indicators (or sus- scattering) in the high-latitude summer mesosphere (Rapp pected indicators) of anthropogenic global warming. Due to and Lübken 2004). Ecklund and Balsley (1981) earlier ref- the NLC measurement (which is strongly dependent on ob- ereed such strong radar echoes as Polar Mesosphere Sum- server and weather conditions) limitations, PMSE has been a plausible candidate. This is because PMSE observations with radar have the advantage of being continuous. Since 1981 researchers observed several PMSE aspects * Corresponding author E-mail: [email protected] using different instrument techniques. This ranges from 372 Ogunjobi et al. ground based radars to space based instruments (Ecklund (Greenwald et al. 1995; Lester 2013). The SuperDARN ra- and Balsley 1981; Kirkwood 1993; Palmer et al. 1996; Hoff- dars at different locations operate on a common configu- mann et al. 1999; Rapp and Lübken 2004; Klekociuk et al. ration for half of the daily operational time (Greenwald et 2008). However, PMSE observations from space are data- al. 1995; Hosokawa et al. 2005; Lester 2013). During the starved, leading to huge gaps in the ability to understand all common operational time, different SuperDARN radars are of the contributing processes. This is particularly true for intercalibrated so that a backscattered power for one system the southern hemisphere, which often lacks both space and can be quantitatively compared to any of the other radars. ground based observational data. There is a growing effort For instance, Villain et al. (2002) performed a statistical to complement PMSE observations with coherent high fre- study of the Doppler spectral width of high-latitude F-region quency (HF) Super Dual Auroral Radar Network (SuperD- ionospheric echoes using six SuperDARN HF radars (Sas- ARN) (e.g., Ogawa et al. 2004; Hosokawa et al. 2005; Liu et katoon, Goose bay, Kapuskasing, Thykkvibaer, Stokkseyri, al. 2013; Ogunjobi et al. 2015). Using data from Syowa East and Hankasalami). For half of SuperDARN radars opera- HF radar in the Antarctic (during 1999/2000 and 2000/2001 tional time, an internal consistency is usually maintained, summers) and Iceland HF radar in the Arctic (1999 and 2000 using common parameters. During the remaining half of the summers), Hosokawa et al. (2005) observed a predominant SuperDARN HF radar observational time, parameters for diurnal PMSE variation, similar to Ogunjobi et al. (2015) individual radar is discretionary. observations, and a weaker PMSE interhemispheric asym- Only common mode Program data were selected for metry occurrence than those earlier reported results. Even this analysis. During common time measurements, the Su- so, they noticed possible contamination from ionospheric E- perDARN radars are sequentially scanned from beam 0 to region echoes. Attempts have been made to eliminate such beam 15 across its total 75 slant range gates with a step in contamination and reported in the literature. Liu et al. (2013) azimuth variation of 3.33°, a scan repeat time of ~2 min, a extracted PMSE from SuperDARN Zhongshan HF radar in range resolution of 45 km, and a peak power of about 10 kW. Antarctica (2010 - 2012 summer) when Kp ≤ 1. In keen con- The beams have maximum sensitivity at elevation angles of trast to Hosokawa et al. (2005), Liu et al. (2013) found a ≤ 35° to allow backscatter echo detection. The return echoes semidiurnal Variation in PMSE. This special diurnal charac- for each beam are integrated over 3 or 7 s. Figure 1 shows teristics of PMSE from the Zhongshan was hypothesised to the geographic field of view (FOV) of SANAE IV HF radar be the influence of auroral particle precipitation. superimposed on geomagnetic coordinates, indicating the Based on this hypothesis, we have expanded our ob- area covered by the entire radar beams (blue vertical lines). servations in this present study to cover at least a complete It is apparent that the radar is located near the auroral loca- solar cycle phase. Here, we have analysed PMSE observa- tion in the Antarctic region. The SuperDARN radar aspect tions during maximum and minimum phases of solar cycle sensitivity along auroral locations has been discussed in the to add valuable insights in this field. This paper presents long term PMSE observations with SuperDARN South African National Antarctic Expedition IV (SANAE IV) (71.68°S, 2.85°W) HF radar (hereafter re- ferred as SuperDARN-PMSE) over the period 1998 - 2007. The monthly, diurnal, and interannual characteristics of SuperDARN-PMSE are determined and presented in the re- sults and analysis section. We examined the SuperDARN- PMSE occurrence rate in relation to geomagnetic activity and mesospheric wind flow measured by meteor radar. To confirm our previous suggestion on temperature variations, the temperature changes in relation to SuperDARN-PMSE have been further expanded. 2. INSTRUMENTATION AND DATA ANALYSIS 2.1 SuperDARN SANAE IV Radar Data from the SuperDARN SANAE IV radar is em- ployed in this study. The antenna array consists of 16 an- tennae operated as a phased array having 170° bore site. Fig. 1. Maps showing the geographic coordinate (green-dotted lines) The radar uses approximately 12 MHz frequency. SANAE of SANAE radar fields of view superimposed on a geomagnetic co- IV radar is technically and operationally similar to the 32 ordinate (thick line) in the Antarctic. The expected region of SANAE other SuperDARN radars located at polar and mid latitudes PMSE is shaded in red. (Color online only) SuperDARN SANAE HF Radar PMSE Observation 373 study of Liu et al. (2013). The shaded portion (red) indi- the influx of strong echoes due to field aligned irregu- cates the probable PMSE observation region based on the larities where the angle between ambient geomagnetic SANAE IV radar aspect sensitivity. For clarity, the FOV field vectors and radar waves is about 90°, the so-called indicates that E-region echoes can be detected using the SA- geomagnetic aspect condition. See Liu et al. (2013) on NAE SuperDARN HF radar when the FOV intersects an SuperDARN radar aspect sensitivity. Auroral E-region auroral electrojet region. echo is removed by limiting spectral width and Doppler It should be noted that the backscatter delays at slant shift below 50 m s-1. This will allow extraction of only range gate 0 is set to 1200 μs interpulse period (length), the inbound radial velocities as expected for PMSE with which is equivalent to 180 km [i.e, within the MLT (Meso- a shorter wavelength than that of the emitted pulse (Vil- sphere and Lower-Thermosphere) region].