The CARISMA Array of Fluxgate and Induction Coil Magnetometers

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The CARISMA Array of Fluxgate and Induction Coil Magnetometers David Milling CARISMA Project Manager dmilling@ualberta.ca Ian Mann CARISMA PI Canada Research Chair in Space Physics ian.mann@ualberta.ca Department of Physics, University of Alberta

Outline The CARISMA magnetometer network: Instrumentation and data products CARISMA RBSP conjunctions Ground magnetometer-rbsp conjunctions are a powerful tool for RB science. Meso-scale characterisation of Pc3-5 ULF waves. GB detection of EMIC waves GB determination of plasmapause

Expanded CARISMA Magnetometer Array www.carisma.ca

Data Products Fluxgate Magnetometers 28 sites, XYZ (24 currently operational) 8 samples/second (available on request) 1 sample/second standard data product 2 samples/second CDF rotated into HDZ for THEMIS Induction Coil Magnetometers 8 pairs, HD 100 samples/second raw data (available on request) 20 samples/second standard data product Data Access Open data policy Online access coming very soon at www.carisma.ca On request to PI, Project Manager or info@carisma.ca

Example RBSP GB B-field Trace CARISMA Expansion to Mid-Latitudes L=6.6 L=3.5

Meso-Scale Pc3-5 Wave Characterisation

Phase Propagation of ULF Waves Phase propagation of ULF waves is critical for resonance with MeV electrons. Difficult or impossible to measure with RBSP depending on geometric probe separation.

March 24 1991 Storm 1990-095 1989-046 CRRES OUL Thanks to LANL and CDAWeb for LANL and CRRES Data.

ULF Wave Radial Diffusion New set of ULF wave-derived electric and magnetic radial diffusion coefficients (Ozeke et al., JGR, 2012). Statistics based on 20 years of CARISMA data. Ozeke et al. D-LL characterised by Vsw and Kp can be applied to RBSP events and compared to observations. Test of diffusion theory.

Test D-LL Radial Diffusion Simulation Ozeke et al. (2012) Kp dependent D- LL. Flux at fixed E constructed with multiple PSD simulations. Fixed outer BC. Simple fixed loss timescale 10 days. Ozeke (UofA Lead): Future implement PADIE loss (with Horne) and variable outer BC.

Ground-Satellite Conjunction Studies and Diagnosis of EMIC Waves

EMIC waves: Relation to Plumes? Role of EMIC waves in MeV electron dynamics at edge of plasmasphere and plumes?

Localised EMIC Waves at the Plasmapause Narrow region (< 1 Re) of EMIC waves inside the plasmapause. Usanova et al., GRL, 2008.

THEMIS FGM EMIC Element Statistics 4 s/c THEMIS data 2007-2011. Binned by Pdyn and LT sector Rises with Pdyn; peaks noon and afternoon. Occurrence rate of EMIC very low but higher in the outer magnetosphere than the inner. Usanova et al., JGR, Submitted 2012.

Cluster Plume Crossings 2001-2006 Schematic showing the plume Event Statistics Darrouzet et al., Ann Geophys. (2008) routinely identified plume crossing by Cluster. They used Cluster WHISPER instrument that measures highfrequency electric fields and derived electron plasma density from electron plasma frequency. Their statistics includes 993 plume crossings between 2001-2006. Electron density along Cluster trajectories EMIC waves were observed during 106 (11%) out of 993 plume crossings: 4% inside and outside; 7% inside. Usanova, Darrouzet, Mann and Bortnik, 2012

GB Magnetometer Sensing of Plasmapause and Plumes IMAGE Satellite EUV images from Goldstein et al, 2004.

Cross-phase and IMAGE RPI plasma mass density profiles. Equatorial plane crossphase densities have been calculated assuming a dipolar field geometry and a r -3 radial density distribution. In-situ RPI electron number densities are shown. The heavy ion population may be inferred from the difference between the two profiles. Dent et al., JGR, 2006. Eroded PS Steeper PP Heavy ions Refilled PS

Summary and Conclusions CARISMA is well located for RBSP conjunctions Ground magnetometer-rbsp conjunctions are powerful tool for RB science. Meso-scale characterisation of Pc3-5 waves. GB detection of EMIC waves GB determination of plasmapause Potential detection of heavy ions (eg with spacecraft potential from EFW) Others... (including ionospheric Alfven resonator) Welcome collaborative studies with RBSP (and other platforms) Data freely available from www.carisma.ca or on request

Statistical Analysis of EMIC Waves in Plasmaspheric Plumes from Cluster Observations M. E. Usanova 1, F. Darrouzet 2, I. R. Mann 1, J. Bortnik 3 1 University of Alberta, Canada 2 Belgian Institute for Space Aeronomy, Belgium 3 UCLA, USA To be submitted to JGR 2012

EMIC Waves in Plasmaspheric Plumes This overlap gives rise to EMIC waves Plasmaspheric plume is a portion of the outer plasmasphere on the dayside are transported sunward, during disturbed geomagnetic conditions. Plume The presence of cold dense ions lowers the ion cyclotron instability threshold (Gary et al., 1994). Energetic protons drifting westward from dusk may become unstable when they encounter the enhanced cold plasma densities within the plasmaspheric plume. Courtesy: Jerry Goldstein Case studies: Spasojevic et al., GRL 2004; Fuselier et al., JGR 2004; Morley et al., JGR 2009.

Cluster Plume Crossings from Whisper Schematic showing the plume Electron density along Cluster trajectories Darrouzet et al., Ann Geophys. (2008) routinely identified plume crossing by Cluster. They used Cluster WHISPER instrument that measures high-frequency electric fields and derived electron plasma density from electron plasma frequency. Their statistics includes 993 plume crossings between 2001-2006.

Event Statistics 1000 86% 100 10 4% 38 7% 68 3% 29 858 1 inside and outside inside outside none EMIC waves were observed during 106 (11%) out of 993 plume crossings: 4% inside and outside; 7% inside.

Event Statistics: Density and P dyn vs. L Events Non-events Events Non-events The density difference between the events and non-events is insignificant (left panel). EMIC events occurred during higher solar wind dynamic pressure than non-events (right panel).

Ground NOAA CARISMA Magnetometer Array Cluster 30-80 kev Proton Precipitation Cluster Cluster Usanova et al., JGR, 2010. NOAA data courtesy of Finn Soraas.

Space Weather Now- and Fore-casting with ULF Wave Models Diffusion coefficients derived from CARISMA ULF data mapped along the field lines into the equatorial plane of the outer radiation belt.