Ocean Weather Forecasting: An Integrated View of Oceanography

ISBN-13: 9789048170067 / Angielski / Miękka / 2010 / 577 str.

Eric P. Chassignet; Jacques Verron

Opis

Progress in a wide range of ocean research and applications depends upon the prompt and dependable availability of ocean information products. 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. 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 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 to summarize our present knowledge in ocean modeling, ocean observing systems, and data assimilation to present an integrated view of oceanography and to introduce young scientists to the current state of the field and to a wide range of applications.

Spis treści

Part I: Introduction 1: N. Smith, Perspectives from the Global Ocean Data Assimilation Experiment Part II: Modeling 2: S. Griffies, Some ocean models fundamentals 3: A.M. Tréguier, Models of ocean: Which ocean? 4: R. Bleck, On the use of hybrid vertical coordinates in ocean circulation modeling 5: E. Blayo and L. Debreu, Nesting ocean models Part III: Oceanographic observations and atmospheric forcing 6: I. Robinson, Satellite measurements for operational ocean models 7: U. Send, In-situ observations: Platforms and techniques 8: S. Pouliquen, In-situ observations: Operational systems and data management 9: W. Large, Surface fluxes for practitioners of global ocean data assimilation Part IV: Data assimilation 10: P. Brasseur, Ocean data assimilation using sequential methods base on the Kalman filter 11: I. Fukumori, What is data assimilation really solving, and how is the calculation actually done? 12: F. Rabier, Importance of data: A meteorological perspective 13: D. Anderson, M. Balmaseda, and A. Vidard, The ECMWF perspective Part V: Systems 14: P. Bahurel, MERCATOR OCEAN global to regional ocean monitoring and forecasting 15: M. Bell, R. Barciela, A. Hines, M. Martin, A. Sellar, and D. Storkey, The Forecasting Ocean Assimilation Model (FOAM) system 16: E. Chassignet, H. Hurlburt, O.M. Smedstad, G. Halliwell, P. Hogan, A. Wallcraft, and R. Bleck, Ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM) 17: A. Schiller and N. Smith, BLUElink: Large-to-coastal scale operational oceanography in the Southern Hemisphere 18: J.F. Minster, Operational oceanography: A European perspective 19: Y. Desaubies, MERSEA: Development of a European ocean monitoring and forecasting system20: L. Crosnier and C. Le Provost, Internal metrics definition for operational forecast systems inter-comparison: Example in the North Atlantic and Mediterranean Sea 21: J. Harding and J. Rigney,Operational oceanography in the U.S. Navy: A GODAE perspective 22: M. Altalo, Applications of ocean forecast information for economic advancement in developed and developing societies 23: B. Hackett, Forecasting the drift of objects and substances in the ocean 24: A. Oschlies, On the use of data assimilation in biogeochemical modelling 25: J. Wilkin and L. Lanerolle, Ocean forecast and analysis models for coastal observatories Appendix Index

Blurb

Ocean 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.