Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System

John Wilkin, Leslie Rosenfeld, Arthur Allen, Rebecca Baltes, Antonio Baptista, Ruoying He, Patrick Hogan, Alexander Kurapov, Avichal Mehra, Josie Quintrell, David Schwab, Richard Signell, Jane Smith

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

This paper outlines strategies that would advance coastal ocean modelling, analysis and prediction as a complement to the observing and data management activities of the coastal components of the US Integrated Ocean Observing System (IOOS®) and the Global Ocean Observing System (GOOS). The views presented are the consensus of a group of US-based researchers with a cross-section of coastal oceanography and ocean modelling expertise and community representation drawn from Regional and US Federal partners in IOOS. Priorities for research and development are suggested that would enhance the value of IOOS observations through model-based synthesis, deliver better model-based information products, and assist the design, evaluation, and operation of the observing system itself. The proposed priorities are: model coupling, data assimilation, nearshore processes, cyberinfrastructure and model skill assessment, modelling for observing system design, evaluation and operation, ensemble prediction, and fast predictors. Approaches are suggested to accomplish substantial progress in a 3–8-year timeframe. In addition, the group proposes steps to promote collaboration between research and operations groups in Regional Associations, US Federal Agencies, and the international ocean research community in general that would foster coordination on scientific and technical issues, and strengthen federal–academic partnerships benefiting IOOS stakeholders and end users.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalJournal of Operational Oceanography
DOIs
StateAccepted/In press - May 12 2017

Fingerprint

Integrated Ocean Observing System
ocean
prediction
modeling
data management
global ocean
oceanography
data assimilation
research and development
stakeholder
cross section
analysis

Keywords

  • Coastal ocean
  • cyberinfrastructure
  • data assimilation
  • forecasting
  • GOOS
  • model coupling
  • modelling
  • observing system design
  • operational
  • real-time
  • skill assessment

ASJC Scopus subject areas

  • Oceanography

Cite this

Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System. / Wilkin, John; Rosenfeld, Leslie; Allen, Arthur; Baltes, Rebecca; Baptista, Antonio; He, Ruoying; Hogan, Patrick; Kurapov, Alexander; Mehra, Avichal; Quintrell, Josie; Schwab, David; Signell, Richard; Smith, Jane.

In: Journal of Operational Oceanography, 12.05.2017, p. 1-12.

Research output: Contribution to journalArticle

Wilkin, J, Rosenfeld, L, Allen, A, Baltes, R, Baptista, A, He, R, Hogan, P, Kurapov, A, Mehra, A, Quintrell, J, Schwab, D, Signell, R & Smith, J 2017, 'Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System', Journal of Operational Oceanography, pp. 1-12. https://doi.org/10.1080/1755876X.2017.1322026
Wilkin, John ; Rosenfeld, Leslie ; Allen, Arthur ; Baltes, Rebecca ; Baptista, Antonio ; He, Ruoying ; Hogan, Patrick ; Kurapov, Alexander ; Mehra, Avichal ; Quintrell, Josie ; Schwab, David ; Signell, Richard ; Smith, Jane. / Advancing coastal ocean modelling, analysis, and prediction for the US Integrated Ocean Observing System. In: Journal of Operational Oceanography. 2017 ; pp. 1-12.
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