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008			150903s2006 ne | o |||| 0|eng d
020			_a9781402040283 _99781402040283
024	7		_a10.1007/1402040288 _2doi
035			_avtls000334593
039		9	_a201509030247 _bVLOAD _c201404120816 _dVLOAD _c201404090555 _dVLOAD _y201402041152 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aGC1-1581
100	1		_aChassignet, Eric P. _eeditor. _9307512
245	1	0	_aOcean Weather Forecasting : _bAn Integrated View of Oceanography / _cedited by Eric P. Chassignet, Jacques Verron.
264		1	_aDordrecht : _bSpringer Netherlands, _c2006.
300			_axii, 577 páginas _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aPerspectives from the Global Ocean Data Assimilation Experiment -- Modeling -- Some Ocean Model Fundamentals -- Models of the Ocean: Which Ocean? -- On the Use of Hybrid Vertical Coordinates in Ocean Circulation Modeling -- Nesting Ocean Models -- Oceanographic observations and atmospheric forcing -- Satellite Measurements for Operational Ocean Models -- In-Situ Observations: Platforms and Techniques -- In-Situ Observations: Operational Systems and Data Management -- Surface Fluxes for Practitioners of Global Ocean Data Assimilation -- Data assimilation -- Ocean Data Assimilation Using Sequential Methods Based on the Kalman Filter -- What Is Data Assimilation Really Solving, and How Is the Calculation Actually Done? -- Importance of Data: A Meteorological Perspective -- The ECMWF Perspective -- Systems -- Mercator Ocean Global to Regional Ocean Monitoring and Forecasting -- The Forecasting Ocean Assimilation Model (Foam) System -- Ocean Prediction with the Hybrid Coordinate Ocean Model (HYCOM) -- Bluelink: Large-To-Coastal Scale Operational Oceanography in the Southern Hemisphere -- Operational Oceanography: A European Perspective -- Mersea: Development of a European Ocean Monitoring and Forecasting System -- Internal Metrics Definition for Operational Forecast Systems Inter-Comparison: Example in the North Atlantic and Mediterranean Sea -- Operational Oceanography in the U.S. Navy: A GODAE Perspective -- Applications of Ocean Forecast Information for Economic Advancement in Developed and Developing Societies -- Forecasting the Drift of Objects and Substances in the Ocean -- On the Use of Data Assimilation in Biogeochemical Modelling -- Ocean Forecast and Analysis Models for Coastal Observatories.
520			_aOcean Weather Forecasting: An Integrated View of Oceanography The field of physical oceanography has matured to a point where it is now conceivable to combine numerical models and observations via data assimilation in order to provide ocean prediction products on various spatial and time scales. As a result, many nations have begun large-scale efforts to provide routine products to the oceanographic community and started to develop operational oceanography systems. The Global Ocean Data Assimilation Experiment (GODAE) provides a framework for these efforts, i.e., a global system of observations, communications, modeling, and assimilation that will deliver regular, comprehensive information on the state of the oceans, in a way that will promote and engender wide utility and availability of this resource for maximum benefit to the community. The societal benefit of this experiment will be an increased knowledge of the marine environment and ocean climate, predictive skills for societal, industrial, and commercial benefit and tactical and strategic advantage, as well as the provision of a comprehensive and integrated approach to the oceans. We therefore considered it timely, given the international context, to bring together leading scientists, system developers, and application providers to present an integrated view of oceanography. The chapters collected in this volume cover a wide range of topics and summarize our present knowledge in ocean modeling, ocean observing systems, and data assimilation.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aVerron, Jacques. _eeditor. _9307513
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781402039812
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-4020-4028-8 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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