Turbulent Heating of the Solar Wind at 1 AU Benjamin T. MacBride 1, Miriam A. Forman 2, and Charles W. Smith 1 1 Physics Department, University of New.

Slides:



Advertisements
Similar presentations
Statistical Properties of Broadband Magnetic Turbulence in the Reversed Field Pinch John Sarff D. Craig, L. Frassinetti 1, L. Marrelli 1, P. Martin 1,
Advertisements

Uncovering the Global Slow Solar Wind Liang Zhao and Thomas H. Zurbuchen Department of Atmospheric, Oceanic and Space Sciences, University of Michigan.
SOLAR WIND TURBULENCE; WAVE DISSIPATION AT ELECTRON SCALE WAVELENGTHS S. Peter Gary Space Science Institute Boulder, CO Meeting on Solar Wind Turbulence.
The Johns Hopkins University Applied Physics Laboratory SHINE 2005, July 11-15, 2005 Transient Shocks and Associated Energetic Particle Events Observed.
Particle acceleration in a turbulent electric field produced by 3D reconnection Marco Onofri University of Thessaloniki.
The Radial Variation of Interplanetary Shocks C.T. Russell, H.R. Lai, L.K. Jian, J.G. Luhmann, A. Wennmacher STEREO SWG Lake Winnepesaukee New Hampshire.
A REVIEW OF WHISTLER TURBULENCE BY THREE- DIMENSIONAL PIC SIMULATIONS A REVIEW OF WHISTLER TURBULENCE BY THREE- DIMENSIONAL PIC SIMULATIONS S. Peter Gary,
An Analysis of Heliospheric Magnetic Field Flux Based on Sunspot Number from 1750 to Today and Prediction for the Coming Solar Minimum Introduction The.
Third moment in MHD SHINE 2006 Miriam Forman 1 Third moment of MHD fluctuations: a new interpretation for anisotropic turbulence in the solar wind… and.
Alfvénic turbulence at ion kinetic scales Yuriy Voitenko Solar-Terrestrial Centre of Excellence, BIRA-IASB, Brussels, Belgium Recent results obtained in.
Low-Frequency Waves Excited by Newborn Interstellar Pickup Ions H + and He + at 4.5 AU Charles W. Smith, Colin J. Joyce, Philip A. Isenberg, Neil Murphy,
Inner Source Pickup Ions Pran Mukherjee. Outline Introduction Current theories and work Addition of new velocity components Summary Questions.
Modeling Generation and Nonlinear Evolution of VLF Waves for Space Applications W.A. Scales Center of Space Science and Engineering Research Virginia Tech.
Magnetohydrodynamic waves
Solar Flare Particle Heating via low-beta Reconnection Dietmar Krauss-Varban & Brian T. Welsch Space Sciences Laboratory UC Berkeley Reconnection Workshop.
Strong nonresonant amplification of magnetic fields in particle accelerating shocks A. E. Vladimirov, D. C. Ellison, A. M. Bykov Submitted to ApJL.
A Summary of the Evidence in Favor of the Idea that the Solar Wind is Accelerated by Waves and/or Turbulence S. R. Cranmer 1 & B. D. G. Chandran 2 1 Harvard-Smithsonian.
DIPARTIMENTO DI FISICA Luca Sorriso-Valvo Sezione di Cosenza Intermittency in solar wind induced electric field Roberto Bruno Vincenzo Carbone.
Shock Acceleration at an Interplanetary Shock: A Focused Transport Approach J. A. le Roux Institute of Geophysics & Planetary Physics University of California.
Absence of a Long Lasting Southward Displacement of the HCS Near the Minimum Preceding Solar Cycle 24 X. P. Zhao, J. T. Hoeksema and P. H. Scherrer Stanford.
Incorporating Kinetic Effects into Global Models of the Solar Wind Steven R. Cranmer Harvard-Smithsonian Center for Astrophysics.
Spectra of Gravity Wave Turbulence in a Laboratory Flume S Lukaschuk 1, P Denissenko 1, S Nazarenko 2 1 Fluid Dynamics Laboratory, University of Hull 2.
Predictions of Solar Wind Speed and IMF Polarity Using Near-Real-Time Solar Magnetic Field Updates C. “Nick” Arge University of Colorado/CIRES & NOAA/SEC.
Abstract For a while it seemed like a simple fluid-like, self-similar, Kolmogoroff cascade was the easy explanation for the nature and evolution of the.
Interplanetary Scintillations and the Acceleration of the Solar Wind Steven R. Spangler …. University of Iowa.
The turbulent cascade in the solar wind Luca Sorriso-Valvo LICRYL – IPCF/CNR, Rende, Italy R. Marino, V. Carbone, R. Bruno, P. Veltri,
Waves, structures and turbulences Fluctuations: scales and parameters Magnetohydrodynamic waves Structures and Alfvénic fluctuations Turbulence spectra.
Structure functions and cancellation exponent in MHD: DNS and Lagrangian averaged modeling Pablo D. Mininni 1,* Jonathan Pietarila Graham 1, Annick Pouquet.
Two-dimensional hybrid modeling of wave heating in the solar wind plasma L. Ofman 1, and A.F. Viñas 2 1 Department of Physics, Catholic University of America,
Introduction and Vectors
Numerical simulations are used to explore the interaction between solar coronal mass ejections (CMEs) and the structured, ambient global solar wind flow.
APS Division of Plasma Physics Nov 15-19, 2004 Savannah, Georgia TRANSPORT AND MODULATION OF COSMIC RAYS IN THE SOLAR WIND John W. Bieber Bartol Research.
In Situ Observations of Corotating Rarefaction Regions with STEREO K.D.C. Simunac *, A.B. Galvin, and N.A. Schwadron University of New Hampshire, Durham,
Intermittency beyond the ecliptic plane Anna Wawrzaszek, Marius Echim, Wiesław M. Macek, Roberto Bruno Mamaia, 6-13 September 2015 (1) Space Research Centre.
R. Oran csem.engin.umich.edu SHINE 09 May 2005 Campaign Event: Introducing Turbulence Rona Oran Igor V. Sokolov Richard Frazin Ward Manchester Tamas I.
Comparison of the 3D MHD Solar Wind Model Results with ACE Data 2007 SHINE Student Day Whistler, B. C., Canada C. O. Lee*, J. G. Luhmann, D. Odstrcil,
NSO Summer School Lecture 1: Solar Wind Structure and Waves Charles W. Smith Space Science Center University of New Hampshire
The energetics of the slow solar wind Leon Ofman, Catholic University of America, NASA GSFC, Code 612.1, Greenbelt, MD 20771, USA
Arrival time of halo coronal mass ejections In the vicinity of the Earth G. Michalek, N. Gopalswamy, A. Lara, and P.K. Manoharan A&A 423, (2004)
Cusp turbulence as revealed by POLAR magnetic field data E. Yordanova Uppsala, November, 2005.
The Solar Wind.
Conclusions Using the Diffusive Equilibrium Mapping Technique we have connected a starting point of a field line on the photosphere with its final location.
MHD Turbulence driven by low frequency waves and reflection from inhomogeneities: Theory, simulation and application to coronal heating W H Matthaeus Bartol.
Waves and turbulence in the solar wind
Voyager 2 Observations of Magnetic Waves due to Interstellar Pickup Ions Colin J. Joyce Charles W. Smith, Phillip A. Isenberg, Nathan A. Schwadron, Neil.
What Do We Know About MHD Turbulence?
Effective drift velocity and initiation times of interplanetary type-III radio bursts Dennis K. Haggerty and Edmond C. Roelof The Johns Hopkins University.
COSPAR 2004, Paris D July 21, 2004 THE HELIOSPHERIC DIFFUSION TENSOR John W. Bieber University of Delaware, Bartol Research Institute, Newark.
Kinetic Alfvén turbulence driven by MHD turbulent cascade Yuriy Voitenko & Space Physics team Belgian Institute for Space Aeronomy, Brussels, Belgium.
Intermittency Analysis and Spatial Dependence of Magnetic Field Disturbances in the Fast Solar Wind Sunny W. Y. Tam 1 and Ya-Hui Yang 2 1 Institute of.
-1- Solar wind turbulence from radio occultation data Chashei, I.V. Lebedev Physical Institute, Moscow, Russia Efimov, A.I., Institute of Radio Engineering.
Compressibility and scaling in the solar wind as measured by ACE spacecraft Bogdan A. Hnat Collaborators: Sandra C. Chapman and George Rowlands; University.
NSO Summer School Lecture 2: Solar Wind Turbulence Charles W. Smith Space Science Center University of New Hampshire
Coronal Heating due to low frequency wave-driven turbulence W H Matthaeus Bartol Research Institute, University of Delaware Collaborators: P. Dmitruk,
Turbulence in the Solar Wind
Nature, Distribution and Evolution of Solar Wind Turbulence throughout the Heliosphere W. H. Matthaeus Bartol Research Institute, University of Delaware.
Spectrum and small-scale structures in MHD turbulence Joanne Mason, CMSO/University of Chicago Stanislav Boldyrev, CMSO/University of Madison at Wisconsin.
The heliospheric magnetic flux density through several solar cycles Géza Erdős (1) and André Balogh (2) (1) MTA Wigner FK RMI, Budapest, Hungary (2) Imperial.
Exploring reconnection, current sheets, and dissipation in a laboratory MHD turbulence experiment David Schaffner Bryn Mawr College Magnetic Reconnection:
A Global Hybrid Simulation Study of the Solar Wind Interaction with the Moon David Schriver ESS 265 – June 2, 2005.
Observations from 1 to 6 AU of Low-Frequency Magnetic Waves due to Newborn Interstellar Pickup Ions Using Ulysses, Voyager and ACE Data Charles W. Smith,
CHARACTERISTICS OF TURBULENT PROCESS IN THE SOLAR PHOTOSPHERE
An overview of turbulent transport in tokamaks
Third-Moment Descriptions of the Interplanetary Turbulent Cascade, Intermittency, and Back Transfer Bernard J. Vasquez1, Jesse T. Coburn1,2, Miriam A.
Wang, X.1, Tu, C. Y.1,3, He, J. S.1, Marsch, E.2, Wang, L. H.1
In situ particle detection
Observations of Magnetic Waves in the Voyager Data Set Marios Socrates Dimitriadis, Charles Smith Introduction Solar wind consists of highly energetic.
B. J. Vasquez, P. Aggarwal, M. R. Argall, L. F. Burlaga, M. Bzowski, B
Correlation Scales of the Turbulent Cascade at 1 AU Charles W
Electron Acoustic Waves (EAW) EAW’s are novel kinetic waves that exist only because nonlinear trapping turns off Landau damping. We recently provided.
Presentation transcript:

Turbulent Heating of the Solar Wind at 1 AU Benjamin T. MacBride 1, Miriam A. Forman 2, and Charles W. Smith 1 1 Physics Department, University of New Hampshire 2 State University of New York, Stonybrook New York Magnetohydrodynamic Turbulence: Politano and Pouquet [1998] derive an MHD version of the structure function method based on Elsasser variables: Z  (x)  V(x)  B(x)/  4  (3) D 3 MHD   [Z -/+ || (t+L/V) - Z -/+ || (t)] Tr[Z  i (t+L/V) - Z  i (t)] 2  = -(4/d)   L (4) where V is the velocity, B is the magnetic field, and ρ is the mass density of the fluid, the subscripts ‘i’ are summed, and d is the dimension of the turbulence. The equations for ε + and ε - correspond to the dissipation rate for the Z + and Z - components. The total energy dissipation rate per unit mass is given by: ε MHD = (ε + + ε - )/2 (5) Blue lines correspond to outward propagating waves, red represents inward propagation, solid black is the total MHD cascade rate, and dashed is the HD result. The average dissipation rate of the two- and three-dimensional models (middle right) agree with values inferred from the radial dependence of the temperature, and outward propagating fluctuations are more aggressively damped than inward propagation. This permits, but does not necessarily imply, that the system will evolve toward equal energy in Z + and Z  as observed by Voyager [Roberts et al., 1987]. The one dimensional model (bottom right) produces a slightly lower heating rate and the inward propagating waves are more aggressively damped. Anisotropy of Solar Wind Turbulence: Dasso et al. [2005] show that the solar wind exhibits a “quasi-two dimensional” structure in slow streams and a one dimensional “slab- like” structure in the fast wind. We attempt to describe this structure in equations (6) and (7): 1D D 3 MHD   [Z  Z (t+  ) - Z  Z (t)] Tr[Z -/+ i (t+  ) - Z -/+ i (t)] 2  = -(4/1)   L  (6) 2D D 3 MHD   [Z  Y (t+  ) - Z  Y (t)] Tr[Z -/+ i (t+  ) - Z -/+ i (t)] 2  = -(4/2)   L  (7)  is the time lag, L  = V SW  sin(  BR ) is the projection of the separation vector onto the perpendicular plane, L  = V SW  cos(  BR ) is the projection of the separation vector onto the parallel component, θ BR is the angle between the magnetic field and the solar wind and the data is rotated into mean-field coordinates where X=Bx[BxR], Y=BxR, and Z=B 0 /|B 0 |. Acknowledgments: The work shown here was supported by the ACE project. Method: The following analysis uses MAG and SWEPAM data from the Advanced Composition Explorer (ACE) to study the turbulent cascade and heating of the solar wind at 1 AU. Solar Wind Turbulence at 1 AU: We can test the consistency of the two expressions for the heating rate by analyzing a month of ACE data using 64-s data. We have divided the month into many subintervals, computed the spectra, extracted the inferred value of , and plotted the distribution. Against this we compare  as computed from the structure function technique. Inertial range spectrum is f -5/3. Based on 91 MAG spectral samples in June, 2000 Inferred  from Power Spectral Method Summary: We have shown that estimates for the spectral cascade and resulting heating rate are in good agreement with values inferred from the radial dependence of the temperature. Moreover, both techniques derived from the power spectral amplitude and the 3 rd order structure function produce comparable values. These values are equivalent to dissipating the entire inertial range from frequencies ~10 -4 Hz up to 1 Hz in ~3 to 5 days. Under these conditions the bulk of the fluctuations observed at 1 AU can not originate at the sun, but must result from in situ generation via turbulent processes driven by the interaction of the large-scale structures. References: Dasso, S., L.J. Milano, W.H. Matthaeus, C.W. Smith, Astrophys. J. Lett., 635, L181-L184, Kolmogorov, A.N., Dokl. Akad. Nauk SSSR, 30, , 1941a. Kolmogorov, A.N., Dokl. Akad. Nauk SSSR, 32, 16-18, 1941b. Politano, H., and Pouquet, A. Geophys. Res. Lett., 25, 273-6, Roberts,. A., L. W. Klein, M. L. Goldstein, and W. H. Matthaeus, J. Geophys. Res., 92, , Smith, C. W., P. A. Isenberg, W. H. Matthaeus, and J. D. Richardson, Astrophys. J., 638, , Evidence of Heating in the Solar Wind: The solar wind is heated at a rate of ~ 10 3 J  kg -1 s -1 at 1 AU. This is confirmed by Pioneer, Voyager, and Helios observations. Observations can be matched by turbulence theories based on the rate of driving by the large scale structures (red and green) [Smith et al., 2006]. Observations of the T P Approx. adiabatic prediction Hydrodynamic Turbulence: In the traditional view of HD turbulence there are two expressions for the turbulent cascade rate. The first is [Kolmogorov, 1941a]: P K = C K  2/3 k -5/3 (1) where P K is the power spectrum of the velocity fluctuations,  is the cascade rate, and k is wavenumber. The second expression measures the nonlinear terms forming the cascade and is scale invariant even when the inertial range is not formed [Kolmogorov, 1941b]: S 3 HD   [V || (t+L/V)  V || (t)] 3  =  4/5  L (2) where S 3 HD is the 3 rd order structure function of the velocity component parallel to the separation vector and L is the separation distance. The symbols  …  denote averages computed over the ensemble. Abstract: We have applied magnetohydrodynamic (MHD) extensions of familiar hydrodynamic (HD) turbulence concepts to observations of the solar wind. Our work shows that the seven year average of the heating rate per unit mass of the solar wind at 1 AU is on the order of 10 3 J  kg -1 s -1 in 1-D, 2-D, and 3-D turbulence formalisms. These results are in good agreement with inferred values based on observation. Further study is required to determine which turbulence model is the most appropriate. Selecting Intervals by Wind Speed and IMF Angle: Fast Wind: The 1-D fast wind has a total dissipation rate of ~1.3x10 3 J/kg-s. Inward-propagating waves are damped more aggressively. Slow Wind: The 2-D slow wind has a total dissipation rate of ~1.0x10 3 J/kg-s. Outward-propagating waves are damped more strongly. Low IMF Angle: The 1-D wind at low IMF angles has a total dissipation rate of ~7.5x10 2 J/kg-s. Inward- and outward- propagating waves are damped equally. The 1-D slow wind at Slow Wind, Low IMF Angle: low IMF angles (rare- factions) has a total dissipation rate of ~1.3 x10 3 J/kg-s. Outward- propagating waves are damped more heavily. Analysis of June 2000 shows an average cascade rate of ~ 1.1 x 10 4 Joules/kg-s by the structure function method (middle left) which agrees with the 1.22 x 10 4 Joules/kg-s average distribution of the heating rates inferred from the spectral amplitude (above). Outward-propagating fluctuations are more aggressively damped. Three-Dimensional Turbulence Calculations from June 2000 Derived  from Structure Function Technique Solar Wind Turbulence in One, Two, and Three Dimensions: