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NOAA’s Great Lakes Wave Prediction System: A Successful Framework for Accelerating the Transition of Innovations to Operations

Authors: Alves, Jose-Henrique; Tolman, Hendrik; Roland, Aron; Abdolali, Ali; Ardhuin, Fabrice; Mann, Greg; Chawla, Arun; +1 Authors

NOAA’s Great Lakes Wave Prediction System: A Successful Framework for Accelerating the Transition of Innovations to Operations

Abstract

Abstract The establishment of the Great Lakes wave forecast system is an early success story inspiring the introduction of open-innovation practices at the U.S. National Oceanic and Atmospheric Administration (NOAA). It shows the power of community modeling to accelerate the transition of scientific innovations to operational environmental forecasting. This paper presents an overview of wave modeling in the Great Lakes from the perspective of its societal benefits. NOAA’s operational wave modeling systems and development practices are examined, emphasizing the importance of community- and stakeholder-driven collaborative efforts to introduce innovations such as using advanced spatial grid types and physics parameterizations, leading to improved predictive skill. The success of the open-innovation approach, set in motion at NOAA by initiatives such as the Great Lakes wave forecasting system, accelerated the transition of innovations to operations. The culture change to operational modeling efforts became part of the foundation for establishing the Unified Forecast System and, more recently, the Earth Prediction Innovation Center. Open-innovation initiatives will improve operational weather and climate forecast systems through scientific and technical innovation, reducing the devastating impacts of hazardous weather and supporting NOAA’s mission of protecting life and property and enhancing the national economy.

Country
France
Keywords

Ocean model, Open innovation, Wind waves, Numerical weather prediction/forecasting, Ocean models, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere, Numerical weather prediction, forecasting, National Oceanic and Atmospheric Administration, Community, Forecast systems, Operational forecasting, Wind wave, Oceanic waves, Great lakes

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    3
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green