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Coastal Ocean Forecasting: science foundation and user benefits Public Deposited

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  • The advancement of Coastal Ocean Forecasting Systems (COFS) requires the support of continuous scientific progress addressing: (a) the primary mechanisms driving coastal circulation; (b) methods to achieve fully integrated coastal systems (observations and models), that are dynamically embedded in larger scale systems; and (c) methods to adequately represent air-sea and biophysical interactions. Issues of downscaling, data assimilation, atmosphere-wave-ocean couplings and ecosystem dynamics in the coastal ocean are discussed. These science topics are fundamental for successful COFS, which are connected to evolving downstream applications, dictated by the socioeconomic needs of rapidly increasing coastal populations.
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  • Kourafalou, V. H., De Mey, P., Staneva, J., Ayoub, N., Barth, A., Chao, Y., ... & Weisberg, R. H. (2015). Coastal Ocean Forecasting: science foundation and user benefits. Journal of Operational Oceanography, 8(sup1), s147-s167. doi:10.1080/1755876X.2015.1022348
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  • 8
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  • V. Kourafalou acknowledges NOAA support (NA13OAR4830224 and NA12OAR4310073) and H. Kang (UM/RSMAS) for help with manuscript formatting. P. De Mey and N. Ayoub have closely collaborated with P. Marsaleix (CNRS/LA, France) and have been supported from CNES through the Ocean Surface Topography/Jason project MICSS and from CNRS/INSU. A. Barth was supported in part by the National Fund for Scientific Research, Belgium (F.R.S.-FNRS) and the SANGOMA project (FP7-SPACE-2011-1-CT-283580-SANGOMA). The research by Y. Chao was supported by NOAA/IOOS (through CeNCOOS, SCCOOS) and the NASA Interdisciplinary Science program. M. Herzfeld is thankful to the eReefs marine modelling team and partners (CSIRO: Commonwealth Industrial and Scientific Research Organization; SIEF: Science and Industry Endowment Fund; AIMS: Australian Institute of Marine Science). A. Moore acknowledges support from the US National Science Foundation (OCE 1061434) and by NOAA/IOOS through CeNCOOS. R.H. Weisberg was assisted by L. Zheng and both were supported in part by the BP/The Gulf of Mexico Research Initiative through the Deep-C Program hosted at the Florida State University.
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  • description.provenance : Made available in DSpace on 2016-02-25T15:42:17Z (GMT). No. of bitstreams: 2 krauserp119142132.zip: 9970 bytes, checksum: 658b732171c87f4d93d63c52cd4eb6dc (MD5) COP.docx: 11285 bytes, checksum: 95fc385e0874cb5a75d0997d07310135 (MD5) Previous issue date: 2015
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2016-02-25T15:42:17Z (GMT) No. of bitstreams: 2 krauserp119142132.zip: 9970 bytes, checksum: 658b732171c87f4d93d63c52cd4eb6dc (MD5) COP.docx: 11285 bytes, checksum: 95fc385e0874cb5a75d0997d07310135 (MD5)
  • description.provenance : Submitted by Open Access (openaccess@library.oregonstate.edu) on 2016-02-24T14:57:58Z No. of bitstreams: 1 COP.docx: 11285 bytes, checksum: 95fc385e0874cb5a75d0997d07310135 (MD5)

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