SH33B-02 Vision for the Future of LWS TR&T

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Paul Withers

    Pa
    Wednesday, December 17, 201401:55 PM - 02:10 PM
        Moscone West
        2012

The Living With a Star (LWS) program addresses acute societal needs for understanding the effects of space weather and developing scientific knowledge to support predictive capabilities. Our society’s heavy reliance on technologies affected by the space environment, an enormous number of airline customers, interest in space tourism, and the developing plans for long-duration human exploration space missions are clear examples that demonstrate urgent needs for space weather models and detailed understanding of space weather effects and risks. Since its inception, the LWS program has provided a vehicle to innovate new mechanisms for conducting research, building highly effective interdisciplinary teams, and ultimately in developing the scientific understanding needed to transition research tools into operational models that support the predictive needs of our increasingly space-reliant society. The advances needed require broad-based observations that cannot be obtained by large missions alone. The Decadal Survey (HDS, 2012) outlines the nation’s needs for scientific development that will build the foundation for tomorrow’s space weather services. Addressing these goals, LWS must develop flexible pathways to space utilizing smaller, more diverse and rapid development of observational platforms. Expanding utilization of ground-based assets and shared launches will also significantly enhance opportunities to fulfill the growing LWS data needs. Partnerships between NASA divisions, national/international agencies, and with industry will be essential for leveraging resources to address increasing societal demand for space weather advances. Strengthened connections to user communities will enhance the quality and impact of deliverables from LWS programs. Thus, we outline the developing vision for the future of LWS, stressing the need for deeper scientific understanding to improve forecasting capabilities, for more diverse data resources, and for project deliverables that address the growing needs of user communities.

    Authors
        Nathan Schwadron
            University of New Hampshire 
    Anthony Mannucci
        Jet Propulsion Laboratory 
    Spiro Antiochos
        NASA GSFC 
    Amitava Bhattacharjee
        Princeton University 
    Tamas Gombosi
        Univ of Michigan 
    Nat Gopalswamy
        NASA Goddard SFC 
    Farzad Kamalabadi
        University of Illinois 
    Jon Linker
        Predictive Science Inc. 
    Peter Pilewskie
        University of Colorado at Boulder 
    Antti Pulkkinen
        NASA Goddard Space Flight Center 
    Harlan Spence
        University of New Hampshire 
    W Kent Tobiska
        Space Environment Technologies 
    Daniel Weimer
        Virginia Tech 
    Paul Withers
        Boston University 
    Mario Bisi
        Rutherford Appleton Laboratory 
    Maria Kuznetsova
        NASA/GSFC 
    Kent Miller
        Air Force Office of Scientific Research 
    Therese Moretto
        National Science Foundation 
    Terrance Onsager
        NOAA 
    Ilia Roussev
        National Science Foundation 
    Rodney Viereck
        NOAA/NWS/NCEP/SWPC 

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