SOLAR ACTIVITY EFFECTS ON THE IONOSPHERIC TOTAL ELECTRON USING GNSS OVER SOUTH AFRICA
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1 SOLAR ACTIVITY EFFECTS ON THE IONOSPHERIC TOTAL ELECTRON USING GNSS OVER SOUTH AFRICA D. M. Moeketsi (a), L. A. McKinnell (b,d) & W. L. Combrinck (c) (a) Centre for High Performance Computing, CSIR Meraka Institute (b) Department of Physics and Electronics, Rhodes University, SA (c) Space Geodesy Programme, SA (d) Hermanus Magnetic Observatory, SA
2 PART I OVERVIEW OF CENTRE FOR HIGH PERFORMANCE COMPUTING IN SOUTH AFRICA
3 Brief History 2000 Initiated as a collaborative intervention amongst the scientists Department of Science and Technology (DST) appointed a steering committee and develop business plan The CHPC incorporated into CSIR's Meraka Institute Official launched by the Minister of DST Dr. H. Sithole appointed as the Director of the CHPC.
4 Vision and Objectives Remit is to advance scientific boundaries by enabling world-class research through promoting and facilitating the use of computational technologies and techniques amongst researchers innovation the training of a new generation of computationally skilled researchers in areas underpinned by high end computing, particularly those of national and continental strategic importance, to the benefit of basic and applied research, commerce and industry Facilitate Research Foster Innovation Strengthen Collaboration Promote Private Public Partnership Accelerate Human Capital Development SANReN CHPC High end Computing High bandwidth Network VLDB Data Curation National Cyberinfrastructure
5 Special Interest Groups Linking to the technology missions in the National R&D Strategy by working alongside a wide range of stakeholders.
6 Computational Resource e1350: Clustered 160 compute nodes - each with two dual core AMD Opteron 2.6GHz Rev. F processors ( 640 CPUs in total at approx. 2.5 Teraflops/s peak performance). Each cluster node is equipped with 16GB of DDR2 667MHz random access and it is interconnected with Infiniband 4X SDR via HTX from Voltaire and PathScale. Eight of the cluster nodes are equipped with ClearSpeed accelerator cards.
7 Computational Resource The Blue Gene/P cluster consists of 1024 compute nodes plus 16 IO nodes, which provide an approximately 13.6 Teraflops/s computational power. Each node is equipped with four IBM PowerPC cores plus three cache, 2GB memory and 13.6 GFlop/s peak performance.
8 Computational Resource Two P690 SMP machines: 32 x 1.9GHz Power4+ CPUs and at least 32GB of RAM each. GPFS storage cluster consists of three IO nodes attached to the shared storage capacity of 94 Terabytes. GPFS Blue Gene Cluster GPFS Storage Cluster GPFS e1350 Cluster FC FC GbE e1350 login BG/P FEN BG/P SN 1 2 chpcio chpcio chpcio HMC 1 16 BG/P BG/P ion BG/P ion (16 x) ion 10 GbE 2 1 ipforwarding chpcio4 1 GbE 1 1 e1350 nodes e1350 (16 e1350 nodes x) nodes GbE 1 1 e1350 management 1 1 IB GbE 1 GbE 1 mmcrcluster on 10 GbE names mmchconfig subnet=nsd/10g Set sn_10gbe as default router for ion Activate ipforwarding on sn: echo 1 > /proc/sys/net/ipv4/ip_forward mmcrcluster on 1 GbE names mmchconfig subnet= IB,10GbE, BGP/10G, e1350/ib Allow io1; io2 and io4 to see all NSDs (DS4700) Add io1;io2; io4 as NSD server for ALL NSDs Set network route to 10 GbE over sn_1gbe for io3 (for metadata traffic) mmcrcluster on 1 GbE names mmchconfig subnets= IB CHPC internal network for remote login
9 Applications and Facilities The CHPC is also equipped with a wide range of proprietary and open-source software packages and applications. The centre also hosts a virtual reality visualisation facility and training rooms.
10 CHPC Own Research Programme Currently there are five merging research laboratories: - Advanced Computing Engineering (ACE) Space Weather Research (SWR) - Earth Science Projection and Analysis (ESPA) Interactive Visualisation Technology (VIT) - Specialised Solutions for High Performance Computing Research (S2HPCR)
11 Africa Initiative The CHPC seeks partnership with its African peers through the following mechanisms: - Blue Gene for Africa (BG4A) - Exchange programme - Joint research projects using HPC applications - Joint research project on technical computing - e-learning research activities For more information visit:
12 PART II SOLAR ACTIVITY EFFECTS ON THE IONOSPHERIC TOTAL ELECTRON CONTENT USING GNSS OVER SOUTH AFRICA
13 Main Aim To validate the University of New Brunswick Ionospheric Modellling Technique (UNB-IMT) (Komjathy, 1997) TEC results using ionosonde TEC (ITEC) measurements over South Africa. To investigate midday TEC variability over South Africa during different periods of solar cycle 23: The years 2002 near solar maximum and 2005 near solar minimum.
14 Outline Introduction The Global Navigation Satellite System (GNSS) and Total Electron Content (TEC) Sunspot and Solar Activity Cycle The University of New Brunswick Ionospheric Modelling Technique Geographic Map of South African Ionosonde and GNSS stations Results Comparison of midday GNSS (GTEC) with ITEC measurements The difference between GTEC and ITEC (Reinisch et al., 2001; Belehaki and Jakowski, 2002) Variations of equivalent ionospheric total slab thickness parameters Some conclusions and Future work
15 GNSS and TEC GNSS (e.g. GPS, GLONASS and future GALILEO) signals are transmitted at two L-band frequencies: (L1=1.6 GHz and L2=1.2 GHz) Because of dispersive nature of the ionosphere: Langley et al. (2002) l e 40.3 Hz2 m3 f 2 E T 1 TECU = 1 10 e /m 16 2
16 Sunspot and Solar Activity Solar flare is violent explosion in the Sun atmosphere Produce: -Solar Energetic Particles (e.g. protons, electron etc.) -Mass flow -Electromagnetic radiation (e.g. X-ray and EUV) GOES and SOHO etc.
17 The UNB Ionospheric Modelling Technique Uses single layer ionospheric model (Komjathy, 1997; Feddrizi et al., 2005; Moeketsi et al., 2007a,b): I( t) Me ( )[ a( t) a( tdl ) a( tdf ) ] b bs It ( ) : L L Phase-levelled s r b : r ionospheric measurement in TECU, Me (): elevation angle mapping function, [ a ( t) a ( t) dl a ( t) df] : spatial linear approximation of TEC, b Receiver plus Satellite instrumental differential delays. Solar-geomagnetic reference frame. 5 by 5 longitude/latitude degree grid spacing maps. TEC at each grid node computed using the 4 closest stations.
18 South African Ionosonde and GNSS stations
19 Comparison of GTEC and ITEC for near Solar Maximum
20 Comparison of GTEC and ITEC for near Solar Minimum
21 Scatter plot of midday GTEC against ITEC
22 Difference between GTEC and ITEC for near Solar Maximum
23 Difference between GTEC and ITEC for near Solar Minimum
24 Calculation of equivalent midday ionospheric total slab thickness parameters Slab thickness: can defined as the depth of an imaginary ionosphere, which has the measured TEC and electron density equal to the maximum electron density of the ionosphere (e.g. Breed and Goodwin, 1997; Forster and Jakowski, 2000): GTEC GTEC t N m F2 f 22 o F ITEC i Nm F ITEC f 22 o F N 2/1m-3 1 m F 80.6 f f 2 o 1Hz 2
25 Equivalent midday ionospheric total slab thickness parameters for year 2002 near solar Maximum
26 Equivalent midday ionospheric total slab thickness parameters for year 2005 near solar minimum
27 Some conclusions Variation Trends of midday GTEC and ITEC over all stations showed a good agreement. Both GTEC and ITEC showed a pronounced seasonal variations for the period near solar maximum. Variation trend of the plasmaspheric electron content for period near solar minimum display a complicated picture, compared to the period near solar maximum. This study verified the use of UNB-IMT for future Ionospheric research over SA. The work has been accepted for publication in IRI/COST 296 special issue of JASR.
28 Future work Investigate in details the seasonal variations of plasmaspheric electron content over South Africa with more data sets. Develop data assimilation model for southern Africa in collaboration with University of Colorado, NOAA Space Weather Prediction Centre (Dr. Eduardo A. Ajauro-Pradere).
29 Post process and Real time data Post processing data only Proposed Post processing and Real time data IGS Stations NAMIBIA Ionosonde stations GPS sites & Ionosonde sites in RSA January 2009 Windhoek HartRAO IGS real-time GPS stations Springbok Calvinia Louisvale Upington Prieska BOTSWANA Hartebeesthoek Kuruman Kimberley De Aar Beaufort West Bloemfontein Ellisras Nylstroom Brits Mafikeng Hartebeesthoek Queenstown LESOTHO Aliwal North Thohoyandau Pietersburg Krugersdorp Benoni Vereeniging Heidelberg Ermelo Kroonstad Kroonstad Bethlehem Steelpoort Nelspruit Groblersdal Soshanguve Jabulana Pretoria Middelburg Bronkhorst MooiRiver Pietermaritzburg Ixopo Umtata Ladysmith Madimbo SWAZI LAND Ulundi Greytown Durban Phalaborwa Stanger Scottburgh MOZAMBIQUE Richards Bay Sutherland Graaff-Reinet Langebaanweg Cape Town Simon s Town Sutherland Malmesbury Stellenbosch Hermanus George Port Elizabeth East London Grahamstown Grahamstown 200 KM Hermanus
30 Acknowledgements Prof. Langley of UNB for providing us with UNB-IMT code. Drs. Fedrizzi and Jakowski for helpful discussions and suggestions. Financial Support from Centre for High Performance Computing (CHPC), CSIR Meraka Institute to attend African Digital Scholarship and Curation Workshop. Dr. Eduardo A. Ajauro-Pradere for allowing me to visit University of Colorado-NOAA Space Weather Prediction Center to begin research collaboration. Thanks for your attention!
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