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Solar Wind Propagation Tool Chihiro Tao 1,2, Nicolas Andre 1, Vincent Génot 1, Alexis P. Rouillard 1, Elena Budnik 1, Arnaud Biegun 1, Andrei Fedorov 1.

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Presentation on theme: "Solar Wind Propagation Tool Chihiro Tao 1,2, Nicolas Andre 1, Vincent Génot 1, Alexis P. Rouillard 1, Elena Budnik 1, Arnaud Biegun 1, Andrei Fedorov 1."— Presentation transcript:

1 Solar Wind Propagation Tool Chihiro Tao 1,2, Nicolas Andre 1, Vincent Génot 1, Alexis P. Rouillard 1, Elena Budnik 1, Arnaud Biegun 1, Andrei Fedorov 1 1. IRAP, Univ. de Toulouse/UPS-OMP/CNRS 2. Now at NICT (chihiro.tao@nict.go.jp) Journée scientifique Juno/JUICE, IRAP, Toulouse, 13-14 October 2015 Session 5 : utilisation et développement des outils du CDPP pour Jupiter

2 Approaches BEST: direct solar wind monitor by a spacecraft (best, while it is not available at Jupiter) BETTER: direct solar wind monitor in cruising phase by Juno  comparison with remote observations. USUALLY: No solar wind monitor e.g., after Juno’s insertion into the magnetosphere  solar wind information predicted from models So far, main methods for predicting solar wind at planets are 0) Timing shift: 1) 1D MHD (HD) models: mSWiM, Our Model, … 2) 3D MHD models: ENLIL, SUSANOO, … Note that there is limitations/ambiguities in the solar wind models. Different weakness for 1D and 3D models.

3 Contents 1. Brief introduction of data-driven 1D and 3D models for solar wind prediction at planetary position 2. Recent updates in our models 3. Contribution and plan for JUNO

4 Solar Wind 1D Model OMNI (WIND) data input Inner boundary 1AU 5.2 (or 9.55) AU Outer boundary 8 (or 12) AU Spatial resolution : 0.0033AU calc. time step:60-300 sec Sun Earth Jupiter/Saturn Data output 1) Input solar wind variation observed 2) Propagate the variation and output

5 Solar Wind 1D Model OMNI (WIND) data input 5.2 (or 9.55) AU Sun Earth Data output Jupiter/Saturn ESJ-angle ΔΦ Shift the time of solar wind output data for Δt = ΔΦ/Ωsun ΔΦ: ESJ-angle between Earth’s longitude at input time and Planet’s longitude at output time, Ωsun: solar rotation angular velocity. Assumption: Solar wind structure is conserved during solar rotation Weak for longitudinal limited structure as (i) short-time variation or (ii) CME, and also affected by (iii) off-equatorial structure Jupiter/Saturn Ωsun 1) Input solar wind variation observed 2) Propagate the variation and output 3) Correct ESJ-angle

6 SW1D Model Evaluation 1 Dynamic pressure [nPa] Ulysses obs. MHD output Good / Bad estimation events 1996 1997 × Caution!

7 SW1D Model Evaluation 2 time dynamics pressure Difference in arrival timing MHD Obs. Jupiter-Sun-Earth angle Δ Φ [deg] time difference [hours] Sun Earth Jupiter Ω 4.2AU ΔΦΔΦ

8 Solar Wind 3D Model 3D MHD model for space weather (ENLIL, SUSANOO, …) Input parameter *Solar surface magnetic field observation +Empirical models (B  V, T, N) @ ~ 25 Rsun [e.g., Arge and Pizzo, 2001; Hayashi et al., 2003] *Coronagraph observation  CME input Sun Solar wind Acceleration, heating MHD region Fig. V-N @ 50R sun, V-T relation taken by Helios observation [Hayashi et al., 2003] magnetogram CME Refers magnetic field at solar surface with empirical models.  They does not refer to solar wind observations

9 ENLIL Model Evaluation High stream enhancements predicted by WSA-ENLIL (note that no-CME model) output at 1 AU [McGregor et al. 2011] Hits: 155 Misses: 102 False HSEs: 38 Maybe more difficulty in density estimation, which affects dynamic pressure Good Bad Caution!

10 3D (SUSANOO) Model Evaluation Comparison between modeled and observed SW at Earth  Less dependence on separation longitude Φ

11 Comparison between 1D and 3D Solar wind at Jupiter estimated by 1D (our) and 3D (SUSANOO) models, ~40 days

12 Solar Wind Models Strong: Direct input using solar wind data Weak: Bz and Bx estimation, longitudinal limited structure as (i) short-time variation or (ii) CME, and also affected by (iii) off-equatorial structure Strong: Longitudinal coverage Weak: Density estimation accuracy (which affect largely on dynamic pressure at Jupiter/Saturn)? Even difficulty in Bz estimation.

13 Recent Updates 1: Angle Correction 5.2 AU Sun Earth Jupiter ΔΦ Jupiter Ωsun *Calculate the propagation along the Sun-Earth line *Since both Earth and Jupiter move, estimation of ΔΦ = Φ(Earth, t_in)- Φ(Jupiter, t_out) contains assumption, we used ballistic propagation  larger error for longer propagation (i.e., beyond Saturn) *This correction sometime causes temporal reversal at fast-slow stream interaction  smooth-out with assumption BEFORE

14 Recent Updates 1: Angle Correction AFTER 5.2 AU Sun Earth Jupiter ΔΦ t_in Jupiter Ωsun ΔΦ t_out *Calculate the propagation along a reference longitude *Estimate longitudinal difference at input and output time separately ΔΦ = ΔΦ t_in +ΔΦ t_out 0 =Φ(Earth, t_in) -Φ(ref., t_in)+Φ(ref., t_out) -Φ(Jupiter, t_out) which does not require assumption to obtain time variation. *This does not bring temporal reversal Now we are evaluating this method and will reflect data in AMDA “reference longitude”

15 Dynamic pressure Radial velocity Plasma density Before / After This update does not change main profiles but arrival time ~ hours, under checking.

16 Recent Updates 2: Flexible Input/Output 5.2 AU Sun Earth Jupiter “reference longitude” STEREO In addition to OMNI  Jupiter propagation, Stereo  Jupiter/Juno Juno  Jupiter OMNI  Juno Solar surface  Jupiter/Juno … would be applicable. Juno

17 Contribution and Plan for Juno Juno’s cruising phase: *Propagate solar wind from Juno to Jupiter  [ADVANCED] Find/establish good indicator of solar wind in the Jupiter phenomena *Evaluate solar wind model Juno’s exploration in the magnetosphere: *Provide solar wind information for a reference


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