Part I: Introductionn1: N. Smith, Perspectives from the Global Ocean Data Assimilation Experiment Part II: Modelingn2: S. Griffies, Some ocean models fundamentalsn3: A.M. Tréguier, Models of ocean: Which ocean?n4: R. Bleck, On the use of hybrid vertical coordinates in ocean circulation modelingn5: E. Blayo and L. Debreu, Nesting ocean models Part III: Oceanographic observations and atmospheric forcingn6: I. Robinson, Satellite measurements for operational ocean modelsn7: U. Send, In-situ observations: Platforms and techniquesn8: S. Pouliquen, In-situ observations: Operational systems and data managementn9: W. Large, Surface fluxes for practitioners of global ocean data assimilation Part IV: Data assimilationn10: P. Brasseur, Ocean data assimilation using sequential methods base on the Kalman filtern11: I. Fukumori, What is data assimilation really solving, and how is the calculation actually done?n12: F. Rabier, Importance of data: A meteorological perspectiven13: D. Anderson, M. Balmaseda, and A. Vidard, The ECMWF perspective Part V: Systemsn14: P. Bahurel, MERCATOR OCEAN global to regional ocean monitoring and forecastingn15: M. Bell, R. Barciela, A. Hines, M. Martin, A. Sellar, and D. Storkey, The Forecasting Ocean Assimilation Model (FOAM) systemn16: 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)n17: A. Schiller and N. Smith, BLUElink: Large-to-coastal scale operational oceanography in the Southern Hemispheren18: J.F. Minster, Operational oceanography: A European perspectiven19: 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 Sean21: J. Harding and J. Rigney,Operational oceanography in the U.S. Navy: A GODAE perspectiven22: M. Altalo, Applications of ocean forecast information for economic advancement in developed and developing societiesn23: B. Hackett, Forecasting the drift of objects and substances in the oceann24: A. Oschlies, On the use of data assimilation in biogeochemical modellingn25: J. Wilkin and L. Lanerolle, Ocean forecast and analysis models for coastal observatories Appendix Index
This volume covers a wide range of topics and summarizes our present knowledge in ocean modeling, ocean observing systems, and data assimilation. The Global Ocean Data Assimilation Experiment (GODAE) provides a framework for these efforts: a global system of observations, communications, modeling, and assimilation that will deliver regular, comprehensive information on the state of the oceans, engendering wide utility and availability for maximum benefit to the community.
Contributions by truly leading people in the field
Interdisciplinary content and approach