Models and data analysis tools for the Solar Orbiter mission - Archive ouverte HAL Access content directly
Journal Articles Astronomy and Astrophysics - A&A Year : 2020

Models and data analysis tools for the Solar Orbiter mission

A. Rouillard (1) , R F Pinto , A. Vourlidas (2) , A. de Groof (3) , W T Thompson , A. Bemporad (4) , S Dolei (5) , M. Indurain (1) , Eric Buchlin (6) , C Sasso , D Spadaro , K. Dalmasse (7) , J Hirzberger , I. Zouganelis , Antoine Strugarek (8) , A S Brun , M. Alexandre (9) , D. Berghmans (10) , N E Raouafi , T. Wiegelmann (11) , P Pagano , C N Arge , T Nieves-Chinchilla , M. Lavarra (1) , N. Poirier (12) , T. Amari (13) , A. Aran (14) , V. Andretta (15) , E Antonucci , A Anastasiadis , F. Auchère (16) , L Bellot Rubio , B. Nicula (17) , X. Bonnin (18) , M. Bouchemit (1) , E. Budnik (19) , S. Caminade (6) , B. Cecconi (20) , J Carlyle , I Cernuda , J. Davila (21) , L Etesi , F Espinosa Lara , A. Fedorov (1) , S. Fineschi (4) , A. Fludra (22) , V. Genot (1) , M K Georgoulis , H R Gilbert , A Giunta , R Gomez-Herrero , S. Guest (22) , M. Haberreiter (23) , D Hassler , C J Henney , R A Howard , T. Horbury (24) , M. Janvier (25) , S I Jones , K Kozarev , E Kraaikamp , A Kouloumvakos , S Krucker , A Lagg , J. Linker (26) , B. Lavraud (27) , P. Louarn (28) , M Maksimovic , S. Maloney (29) , G. Mann (30) , A. Masson (31) , D. Muller (32) , H Önel , P. Osuna (33) , D Orozco Suarez , C J Owen , A Papaioannou , D Pérez-Suárez , J Rodriguez-Pacheco , S. Parenti (6) , E. Pariat (34) , H Peter , S Plunkett , J Pomoell , J M Raines , T. Riethmuller (35) , N Rich , L Rodriguez , M. Romoli (36) , L Sanchez , S K Solanki , O C St Cyr , T Straus , R. Susino (4) , L. Teriaca (11) , J C del Toro Iniesta , R Ventura , C. Verbeeck (10) , Nicole Vilmer (37) , A Warmuth , A. Walsh (38) , C Watson , D Williams , Y Wu , A N Zhukov
1 IRAP - Institut de recherche en astrophysique et planétologie
2 NRL - Naval Research Laboratory
3 ESAC - European Space Astronomy Centre
4 OATo - INAF - Osservatorio Astrofisico di Torino
5 OACT - INAF - Osservatorio Astrofisico di Catania
6 IAS - Institut d'astrophysique spatiale
7 NCAR - National Center for Atmospheric Research [Boulder]
8 IRFM - Institut de Recherche sur la Fusion par confinement Magnétique
9 STIM - Stéréochimie et Interactions Moléculaires
10 ROB - Royal Observatory of Belgium = Observatoire Royal de Belgique
11 MPS - Max-Planck-Institut für Sonnensystemforschung = Max Planck Institute for Solar System Research
12 U1064 Inserm - CRTI - Centre de Recherche en Transplantation et Immunologie
13 CPHT - Centre de Physique Théorique [Palaiseau]
14 RSSD - Research and Scientific Support Department, ESTEC
15 OAC - INAF - Osservatorio Astronomico di Capodimonte
16 IJM (UMR_7592) - Institut Jacques Monod
17 STCE - Solar-Terrestrial Centre of Excellence [Brussels]
18 LESIA - Laboratoire d'études spatiales et d'instrumentation en astrophysique
19 NOVELTIS [Sté]
20 Department of Physics and Astronomy [Iowa City]
21 GSFC - NASA Goddard Space Flight Center
22 RAL Space - Space Science and Technology Department [Didcot]
23 LASP - Laboratory for Atmospheric and Space Physics [Boulder]
24 Blackett Laboratory
25 EADS Astrium SAS
26 SAIC - Science Applications International Corporation
27 Space Science and Applications
28 CESR - Centre d'étude spatiale des rayonnements
29 Trinity College Dublin
30 AIP - Leibniz-Institut für Astrophysik Potsdam
31 LFP - URA 2453 - Laboratoire Francis PERRIN
32 InESS - Institut d'Electronique du Solide et des Systèmes
33 CICESE - Centro de Investigacion Cientifica y de Education Superior de Ensenada [Mexico]
34 LESIA (UMR_8109) - Laboratoire d'études spatiales et d'instrumentation en astrophysique
35 UR EPGR - Ecosystèmes et paysages montagnards
36 INFN, Sezione di Napoli - Istituto Nazionale di Fisica Nucleare, Sezione di Napoli
37 USN - Unité Scientifique de la Station de Nançay
38 Microbiology Department
R F Pinto
  • Function : Author
W T Thompson
  • Function : Author
Eric Buchlin
C Sasso
  • Function : Author
D Spadaro
  • Function : Author
J Hirzberger
  • Function : Author
I. Zouganelis
  • Function : Author
A S Brun
  • Function : Author
N E Raouafi
  • Function : Author
P Pagano
  • Function : Author
C N Arge
  • Function : Author
T Nieves-Chinchilla
  • Function : Author
E Antonucci
  • Function : Author
A Anastasiadis
  • Function : Author
F. Auchère
L Bellot Rubio
  • Function : Author
E. Budnik
  • Function : Author
J Carlyle
  • Function : Author
I Cernuda
  • Function : Author
L Etesi
  • Function : Author
F Espinosa Lara
  • Function : Author
M K Georgoulis
  • Function : Author
H R Gilbert
  • Function : Author
A Giunta
  • Function : Author
R Gomez-Herrero
  • Function : Author
D Hassler
  • Function : Author
C J Henney
  • Function : Author
R A Howard
  • Function : Author
T. Horbury
  • Function : Author
M. Janvier
  • Function : Author
S I Jones
  • Function : Author
K Kozarev
  • Function : Author
E Kraaikamp
  • Function : Author
A Kouloumvakos
  • Function : Author
S Krucker
  • Function : Author
A Lagg
  • Function : Author
B. Lavraud
M Maksimovic
  • Function : Author
G. Mann
H Önel
  • Function : Author
D Orozco Suarez
  • Function : Author
C J Owen
  • Function : Author
A Papaioannou
  • Function : Author
D Pérez-Suárez
  • Function : Author
J Rodriguez-Pacheco
  • Function : Author
H Peter
  • Function : Author
S Plunkett
  • Function : Author
J Pomoell
  • Function : Author
J M Raines
  • Function : Author
N Rich
  • Function : Author
L Rodriguez
  • Function : Author
L Sanchez
  • Function : Author
S K Solanki
  • Function : Author
O C St Cyr
  • Function : Author
T Straus
  • Function : Author
J C del Toro Iniesta
  • Function : Author
R Ventura
  • Function : Author
A Warmuth
  • Function : Author
A. Walsh
  • Function : Author
  • PersonId : 916307
C Watson
  • Function : Author
D Williams
  • Function : Author
Y Wu
  • Function : Author
A N Zhukov
  • Function : Author

Abstract

Context. The Solar Orbiter spacecraft will be equipped with a wide range of remote-sensing (RS) and in-situ (IS) instruments to record novel and unprecedented measurements of the solar atmosphere and the inner heliosphere. To take full advantage of these new datasets, tools and techniques must be developed to ease multi-instrument and multi-spacecraft studies. In particular the currently inaccessible low solar corona below two solar radii can only be observed remotely. Furthermore techniques must be used to retrieve coronal plasma properties in time and in three dimensional (3D) space. Solar Orbiter will run complex observation campaigns that provide interesting opportunities to maximise the likelihood of linking IS data to their source region near the Sun. Several RS instruments can be directed to specific targets situated on the solar disk just days before data acquisition. To compare IS and RS, data we must improve our understanding of how heliospheric probes magnetically connect to the solar disk. Aims. The aim of the present paper is to briefly review how the current modelling of the Sun and its atmosphere can support Solar Orbiter science. We describe the results of a community-led effort by European Space Agency (ESA)'s Modelling and Data Analysis Working Group (MADAWG) to develop different models, tools, and techniques deemed necessary to test different theories for the physical processes that may occur in the solar plasma. The focus here is on the large scales and little is described with regards to kinetic processes. To exploit future IS and RS data fully, many techniques have been adapted to model the evolving 3D solar magneto-plasma from the solar interior to the solar wind. A particular focus in the paper is placed on techniques that can estimate how Solar Orbiter will connect magnetically through the complex coronal magnetic fields to various photospheric and coronal features in support of spacecraft operations and future scientific studies. Methods. Recent missions such as STEREO, provided great opportunities for RS, IS, and multi-spacecraft studies. We summarise the achievements and highlight the challenges faced during these investigations, many of which motivated the Solar Orbiter mission. We present the new tools and techniques developed by the MADAWG to support the science operations and the analysis of the data from the many instruments on Solar Orbiter. Results. This article reviews current modelling and tool developments that ease the comparison of model results with RS and IS data made available by current and upcoming missions. It also describes the modelling strategy to support the science operations and subsequent exploitation of Solar Orbiter data in order to maximise the scientific output of the mission. Conclusions. The ongoing community effort presented in this paper has provided new models and tools necessary to support mission operations as well as the science exploitation of the Solar Orbiter data. The tools and techniques will no doubt evolve significantly as we refine our procedure and methodology during the first year of operations of this highly promising mission.
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Dates and versions

hal-02391487 , version 1 (03-12-2019)

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A. Rouillard, R F Pinto, A. Vourlidas, A. de Groof, W T Thompson, et al.. Models and data analysis tools for the Solar Orbiter mission. Astronomy and Astrophysics - A&A, 2020, ⟨10.1051/0004-6361/201935305⟩. ⟨hal-02391487⟩
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