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Author Davidson, F.; Alvera-Azcárate, A.; Barth, A.; Brassington, G.B.; Chassignet, E.P.; Clementi, E.; De Mey-Frémaux, P.; Divakaran, P.; Harris, C.; Hernandez, F.; Hogan, P.; Hole, L.R.; Holt, J.; Liu, G.; Lu, Y.; Lorente, P.; Maksymczuk, J.; Martin, M.; Mehra, A.; Melsom, A.; Mo, H.; Moore, A.; Oddo, P.; Pascual, A.; Pequignet, A.-C.; Kourafalou, V.; Ryan, A.; Siddorn, J.; Smith, G.; Spindler, D.; Spindler, T.; Stanev, E.V.; Staneva, J.; Storto, A.; Tanajura, C.; Vinayachandran, P.N.; Wan, L.; Wang, H.; Zhang, Y.; Zhu, X.; Zu, Z. url  doi
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  Title Synergies in Operational Oceanography: The Intrinsic Need for Sustained Ocean Observations Type $loc['typeJournal Article']
  Year 2019 Publication Frontiers in Marine Science Abbreviated Journal Front. Mar. Sci.  
  Volume 6 Issue Pages  
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  Abstract Operational oceanography can be described as the provision of routine oceanographic information needed for decision-making purposes. It is dependent upon sustained research and development through the end-to-end framework of an operational service, from observation collection to delivery mechanisms. The core components of operational oceanographic systems are a multi-platform observation network, a data management system, a data assimilative prediction system, and a dissemination/accessibility system. These are interdependent, necessitating communication and exchange between them, and together provide the mechanism through which a clear picture of ocean conditions, in the past, present, and future, can be seen. Ocean observations play a critical role in all aspects of operational oceanography, not only for assimilation but as part of the research cycle, and for verification and validation of products. Data assimilative prediction systems are advancing at a fast pace, in tandem with improved science and the growth in computing power. To make best use of the system capability these advances would be matched by equivalent advances in operational observation coverage. This synergy between the prediction and observation systems underpins the quality of products available to stakeholders, and justifies the need for sustained ocean observations. In this white paper, the components of an operational oceanographic system are described, highlighting the critical role of ocean observations, and how the operational systems will evolve over the next decade to improve the characterization of ocean conditions, including at finer spatial and temporal scales.  
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  ISSN 2296-7745 ISBN Medium  
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  Call Number COAPS @ user @ Serial 1083  
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Author Wang, H.; Long, L.; Kumar, A.; Wang, W.; Schemm, J.-K.E.; Zhao, M.; Vecchi, G.A.; Larow, T.E.; Lim, Y.-K.; Schubert, S.D.; Shaevitz, D.A.; Camargo, S.J.; Henderson, N.; Kim, D.; Jonas, J.A.; Walsh, K.J.E. url  doi
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  Title How Well Do Global Climate Models Simulate the Variability of Atlantic Tropical Cyclones Associated with ENSO? Type $loc['typeJournal Article']
  Year 2014 Publication Journal of Climate Abbreviated Journal J. Climate  
  Volume 27 Issue 15 Pages 5673-5692  
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  Series Volume Series Issue Edition  
  ISSN 0894-8755 ISBN Medium  
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  Call Number COAPS @ mfield @ Serial 149  
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Author Han, R.; Wang, H.; Hu, Z.-Z.; Kumar, A.; Li, W.; Long, L.N.; Schemm, J.-K.E.; Peng, P.; Wang, W.; Si, D.; Jia, X.; Zhao, M.; Vecchi, G.A.; LaRow, T.E.; Lim, Y.-K.; Schubert, S.D.; Camargo, S.J.; Henderson, N.; Jonas, J.A.; Walsh, K.J.E. url  doi
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  Title An Assessment of Multimodel Simulations for the Variability of Western North Pacific Tropical Cyclones and Its Association with ENSO Type $loc['typeJournal Article']
  Year 2016 Publication Journal of Climate Abbreviated Journal J. Climate  
  Volume 29 Issue 18 Pages 6401-6423  
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  ISSN 0894-8755 ISBN Medium  
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  Call Number COAPS @ mfield @ Serial 37  
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Author Shaevitz, D.A.; Camargo, S.J.; Sobel, A.H.; Jonas, J.A.; Kim, D.; Kumar, A.; LaRow, T.E.; Lim, Y.-K.; Murakami, H.; Reed, K.A.; Roberts, M.J.; Scoccimarro, E.; Vidale, P.L.; Wang, H.; Wehner, M.F.; Zhao, M.; Henderson, N. url  doi
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  Title Characteristics of tropical cyclones in high-resolution models in the present climate Type $loc['typeJournal Article']
  Year 2014 Publication Journal of Advances in Modeling Earth Systems Abbreviated Journal J. Adv. Model. Earth Syst.  
  Volume 6 Issue 4 Pages 1154-1172  
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  ISSN 1942-2466 ISBN Medium  
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  Call Number COAPS @ mfield @ Serial 147  
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