Recent developments in Dynamic Modelling of the Earth’s Radiation Belts Richard B. Horne, Sarah A. Glauert and Nigel P. Meredith British Antarctic Survey Cambridge, UK Invited talk, ESWW7 Bruges, 16 November 2010 Importance of Energetic Particles 2003 Hallowe’en magnetic storm • 2003 Hallowe’en magnetic storm – 48 satellites reported anomalies – 1 total loss • • • Satellite ~ US$ 250 M Launch ~ US$ 100 M Insure ~ 3% /year • 300 satellites in Geo orbit alone • ~ 1000 satellites in orbit • Effects of an extreme event? Baker et al. Nature [2004] Satellites – Total Loss • • • • • 2010 Eutelsat W3B IS-4 (PAS-4) Eutelsat W2 Sterkh 1 and 2 28 Oct 1 Feb 27 Jan Jan Fuel leak, total loss a few hours after launch Out of service after anomaly, moved to junk orbit Out of service after anomaly, moved to junk orbit Both satellites failed shortly after launch • • • • • 2009 Koronas-Foton Orbcomm Iridium 33 Astra 5A 2 Dec 22 Feb 10 Feb 16 Jan Contact lost after power supply problem; total loss Total loss of one satellite expected after power system failure Destroyed in accidental collision with defunct Russian milsat Total loss after malfunction announced • • • • • 2008 NiqComSat 1 DSP 23 EchoStar 2 NRO-L21 9 Nov Mid-Sept 14 July Feb Second solar array fails; total loss Total loss Power system failure, total loss Failed satellite deliberately destroyed by missile • What is the cause – Space Weather ? Other ? • Can we help protect satelites? Satellites – Serious Interruption to Service • • 2010 • • • • • • • 2009 • • • • • • • • • • • • • • IGS 4B GOCE INSAT 4B Galaxy 15 Aura AMC-16 Satmex V 23 Aug July 7 July 5 Apr 12 Mar Mar 27 Jan Power failure, status unknown Glitch prevents science data transmission (recovered Sept 2010) Solar array anomaly; 50% power loss Contact lost, transponders still working Attitude disturbance, slight power loss Further degradation of solar arrays, some transponders switched off Loss of XIPS propulsion system, operational life shortened GeoEye 1 Landsat 5 MTSAT-1R Eurobird 1 Chandrayaan 1 Orbcomm Landsat 5 Herschel Sinosat 3 Yamal 202 Eutelsat W2A GeoEye Chinasat 6B Eutelsat W2M 11 Dec Dec 11 Nov 12 Sep 28 Aug 24 Aug 13 Aug 3 Aug 13 Jul 3 June May 1 May 9 Feb 28 Jan Problem with transmit antenna pointing mechanism Lost transponder replaced by one thought to have failed earlier 15.5-hour outage 90-minute outage starting at 2124 UTC attitude problems Contact lost; mission abandoned Coast Guard demo satellite fails 1-day outage SEU causes anomaly in HIFI instrument 12-hour outage, starting at 1350 UTC 8½-hour outage IOT: S-band payload anomaly announced Problems with colour imagery announced 47-minute outage starting 0259; recovered IOT: Major anomaly of power subsystem, likely total loss • • How important is Space Weather ? Can we help protect satellites? Importance of Energetic Particles – Space Weather • NOAA anomaly database • High flux of MeV electrons cause satellite anomalies (malfunctions) • Cumulative radiation dose limits spacecraft lifetime • Iucci et al. SW [2005] Solar wind – Radiation Belts • Increased MeV electron flux in the radiation belts • Driven by high speed solar wind and Bz fluctuations • Galileo - Giove – A • Science and applications • Thanks to the ESA Galileo team ULF Enhanced Radial Diffusion • Fast solar wind drives ULF waves inside magnetosphere • ULF wave frequency ~ electron drift frequency ~ mHz • diffuse electrons towards/away from the Earth • Conservation of 1st invariant results in electron acceleration/deceleration Wave-Particle Interactions • As electrons drift around the Earth they encounter many types of waves: • • • • • • • • Chorus Hiss Lightning generated whistlers VLF transmitters EMIC Magnetosonic Z mode LO and RX modes Wave-particle interactions are mainly responsible for radiation belt variations Radial Diffusion and Losses due to Hiss • Radial diffusion • Wave-particle interactions • Whistler mode hiss waves • Loss to the atmosphere • Underestimates flux • Needs electron acceleration • Lam et al. GRL [2007] Cyclotron Resonant Electron Acceleration: Chorus Cluster data • • Whistler mode chorus waves excited by ~1-50 keV electrons Waves accelerate electrons up to MeV energies • Horne et al., Nature [2005] 3d Dynamic Global Modelling • 3d = Include wave-particle interactions • • Radial diffusion is for constant J1 and J2, - OK on a (J1,J2,L*) grid However • Momentum diffusion is for constant (L*,y) • Pitch angle diffusion (y) is for constant (L*,p) • Requires complex differential operators Solution - use 2 grids – and transform between them • Diffusion Coefficients • Radial diffusion coefficients • Due to ULF waves • Pitch angle and energy diffusion • Due to wave-particle interactions Scale coefficients by the Kp index and drive global dynamic model by a time series of Kp Salammbo Model • [Varotsou et al. 2005, 2008; Horne et al., 2006] • Radial diffusion + wpi due to chorus – steady state • No cross terms • Significant increase in electron flux due to chorus acceleration Radiation Belt Environment Model SAMPEX Data 2-6 MeV electrons • • • Radial displacement + chorus No cross terms Fok et al. [2008] Radial diffusion and wpi due to chorus Radial diffusion only Chorus waves are essential for dynamics BAS Global Radiation Belt Model • Electrons flux - CRRES satellite during a magnetic storm • Model without wave-particle interactions - inadequate • Model with wave-particle interactions • Wave-particle interactions are essential for radiation belt variations and loss to atmosphere USAF Model Data • Albert et al. [2009] • • Includes cross terms 2 grids – coordinates of the second grid are chosen so the cross terms vanish • Radial diffusion + chorus give best agreement with data • Cross terms reduce chorus acceleration Chorus and RD Radial diffusion alone Coupling High and Low Energy Electrons Coupling low and High Energy Electrons • No coupling • Couple RCM to VERB code Subbotin et al. JGR [2010] BAS code – Effects of Hiss Wave Normal Angle Data BAS Model Comparison of Electron Lifetimes • Benck et al. [2010] • Electron lifetimes (0.23 – 0.34 MeV) are longer when measured at low altitude compared to equator • Why? Loss timescales • SAC – C measures pa ~ 20O • CRRES measures 0-90 • Suggest here – Active conditions – Energy diffusion at large p.a. – Energy diffusion at small p.a • Important to resolve for global dynamic models Conclusions • • Satellite losses and service interruptions are still significant Radiation belts are variable and pose a hazard • Global dynamic radiation belt models are being developed to forecast risk • Need for better understanding of the physical processes: • Wave-particle interactions – ULF, ELF and VLF frequencies • Coupling of radiation belts to the solar wind • Transport of low energy electrons – E fields • Coupling to major boundaries – such as the plasmapause • Galileo provides new opportunities for science as well as applications • New SPACECAST project will develop European models and forecasting • Wave-particle interactions – radial diffusion Reserve Slides Needs to improve models • Need more wave data for different wave modes – diffusion rates • Need better ULF waves data for radial diffusion • Couple high and low energy electrons • Need better E field model for convection - transport • Better coupling from solar wind to magnetosphere – effects of boundaries • Develop global models into forecasting models • New FP7 SPACECAST project will do some, not all Resonance Cone • Waves do not propagate at all directions • Need to restrict wave power in angle Vg Resonance cone k • What is the angular spread?? • Need observations – CLUSTER Electromagnetic Electrostatic Wave Power Near the Resonance Cone • Pitch angle diffusion rate • Including wave power near the resonance cone reduces the diffusion rate !! • Paradox • Reason • waves become electrostatic – not electromagnetic • Need to revise model • Need to identify EM and ES waves in wave data Dynamic Modelling Approach Observations Transform to a dipole field (L*) Diffusion Calculations Use a realistic magnetic field model Gyro-kinetic Calculations or Observations • • • Diffusion - complexity in transformations Gyro-kinetic - complexity in wave diffusion Both need very good magnetic field models