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I: C7: Connections to Geospace

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Title: I: C7: Connections to Geospace


1
I C7 Connections to Geospace
  • Chairs Stephen Fuselier, Zoran Mikic
  • Status Draft, Version 1, 05/25/2006

2
Guidelines to group leads
  • Assess the task definitions in appendix A (AIA
    Science Plan) in the 2004 Concept Study Report
    (CSR). In particular
  • Science/task descriptions in Ch. A1.1
  • Summaries in Table A2
  • Identify required changes from, and additions to,
    the AIA Science Plan
  • Evaluate the status of that plan, and formulate
    changes, if needed.
  • You may add as many pages to this document as you
    need, but
  • Add pages under the same headings please, do not
    change the roman numerals in the page titles,
    please add a, b, c, d,
  • Resources
  • AIA home http//aia.lmsal.com/
  • AIA CSR summary http//aia.lmsal.com/public/CSR.h
    tm
  • CSR https//aia.lmsal.com/doc?cmdvcurproj_numA
    IA00435
  • Proposal https//aia.lmsal.com/doc?cmdvcurproj_
    numAIA00341

3
Schedule
  • 17 November 2005 draft sheets I, II to teams,
    requesting input for sheets III and IV
  • 24 November 2005 completed sheets I-IV for
    review to teams, requesting input for sheets V-VI
  • 8 December 2005 team input received for sheets
    V-VI
  • 19 December 2005 draft of sheets VII-VIII to
    teams
  • 9 January 2006 team comments received for sheets
    VII-VIII
  • 6 February 2006 draft Science plans on meeting
    website, with sheets IX-X filled out by team
    leads (or teams after telecons)
  • 13-17 February 2006 discussions during science
    team meeting discuss and complete pages IX-X.
  • 17 February completed Science plans on line.

4
II Science questions and tasks
  • Primary scientific questions (AIA Objective 4)
  • Dynamic coupling of corona and heliosphere
  • Solar wind energetics
  • Propagation of CMEs and related phenomena
  • Vector field and velocity
  • SDO/AIA science tasks
  • Task 1A Develop a global background solar wind
    model
  • Task 1B Develop a coronal heating and wave
    momentum flux parameterization for a global
    coronal solar wind model
  • Task 1C Understand how to initiate CMEs using
    SDO data inputs
  • Task 1D Propagate CMEs to 1AU

5
III Science context
  • Advances prior to and during SDO
  • Development and deployment of a background solar
    wind model solicited in the 2005 LWS TRT
    Strategic Capabilities competition
  • SDOs primary contribution
  • Improvements in characterizing and forecasting
    the structure of the background solar wind as a
    result of SDOs vector magnetic field
    measurements, improved resolution, and AIAs
    better spectral coverage of EUV emission

6
IV Science investigation
  • Having a global background solar wind model is
    essential
  • To understand the connection between coronal
    source regions and in situ observations
  • To understand how CMEs propagate
  • Theoretical support
  • To develop a formulation on how to use AIA
    emission measurements to constrain empirical
    models of coronal heating and momentum wave flux
  • To develop a CME initiation model that can use
    inputs from HMI and AIA (especially from far-side
    imaging?)
  • To develop a CME propagation model

7
V Implementation General 1
  • What do we need to make progress on the science
    questions in general?
  • Suggested TRT Focused Topic How to incorporate
    sequences of vector magnetograms into
    time-dependent global coronal models
  • Suggested TRT Focused Topic To develop coronal
    heating and wave acceleration components for a
    global solar wind model
  • Need to develop software to query, analyze, and
    visualize model results and to compare with
    observations (e.g., magnetic field line tracing,
    connection between S/C and Sun, rendering fields,
    )

8
V Implementation General 2
  • The Wang-Sheeley-Arge (WSA) model is very useful
    for operational solar wind forecasting
  • Further development of the WSA model would
    improve its effectiveness and usefulness

9
VI Implementation AIAHMI
  • What do we need from and for SDO to make
    progress on our major science?
  • Need to calibrate magnetic fields from HMI in
    Gauss (especially saturation effects, weak
    fields, polar fields)
  • Having a photospheric magnetic field forecast
    model (e.g., Schrijver and DeRosa) would be very
    useful
  • Need robust and accurate ambiguity resolution for
    vector magnetic fields

10
VII AIAHMI data products
  • list data products differentiate critical,
    desirable, useful
  • SDO data
  • Line-of-sight magnetic field (critical)
  • Vector magnetic field (highly desirable)
  • AIA emission in EUV (highly desirable)
  • Supporting data from other observatories
  • In situ solar wind data for model verification
    (highly desirable)
  • Coronagraph data for CME initiation and
    propagation (highly desirable)

11
VIII AIAHMI data production
  • Assessment of required resources/codes/etc
  • pipeline software
  • analysis software/studies
  • supporting software/models
  • computational requirements (run time estimates,
    system requirements, )
  • storage requirements size, duration,
  • access web, archive, logs, search methods,

12
IX Business plan Resources
  • Need a continuously running background solar wind
    model this is partially addressed by the 2005
    LWS TRT Strategic Capabilities competition
  • Need a dedicated operator to screen data, feed in
    data, deal with data gaps, resolve anomalies,
    check running of model, check output, assess
    performance, compare with data (postcasting)

13
IX Business plan Resources (continued)
  • Need a dedicated massively parallel computer
    system (256 CPUs) to run the background solar
    wind model
  • Need storage for archived model results

14
X Business plan Implementation
  • Define key milestones, test procedures, and
    target dates,
  • Communication define or list meetings, topical
    sessions, etc., where progress can be presented,
    discussed, evaluated,

15
Additional Considerations
  • One CME can pre-condition the corona for the
    propagation of a following CME
  • This is very important in assessing the
    geo-effectiveness of CMEs
  • Commercial customers (e.g., airlines) need to
    know when a geo-magnetic event is expected to
    start, and also when it is going to end
  • Models can provide Situational Awareness
    knowing what is out there in the solar wind, and
    how it will affect us
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