Contributions by truly leading people in the field
Interdisciplinary content and approach
Broad readership
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.
|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.
Part I: Introduction1: N. Smith, Perspectives from the Global Ocean Data Assimilation Experiment Part II: Modeling2: S. Griffies, Some ocean models fundamentals3: A.M. Tréguier, Models of ocean: Which ocean?4: R. Bleck, On the use of hybrid vertical coordinates in ocean circulation modeling5: E. Blayo and L. Debreu, Nesting ocean models Part III: Oceanographic observations and atmospheric forcing6: I. Robinson, Satellite measurements for operational ocean models7: U. Send, In-situ observations: Platforms and techniques8: S. Pouliquen, In-situ observations: Operational systems and data management9: W. Large, Surface fluxes for practitioners of global ocean data assimilation Part IV: Data assimilation10: P. Brasseur, Ocean data assimilation using sequential methods base on the Kalman filter11: I. Fukumori, What is data assimilation really solving, and how is the calculation actually done?12: F. Rabier, Importance of data: A meteorological perspective13: D. Anderson, M. Balmaseda, and A. Vidard, The ECMWF perspective Part V: Systems14: P. Bahurel, MERCATOR OCEAN global to regional ocean monitoring and forecasting15: M. Bell, R. Barciela, A. Hines, M. Martin, A. Sellar, and D. Storkey, The Forecasting Ocean Assimilation Model (FOAM) system16: 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 Hemisphere18: J.F. Minster, Operational oceanography: A European perspective19: 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 Sea21: J. Harding and J. Rigney,Operational oceanography in the U.S. Navy: A GODAE perspective22: M. Altalo, Applications of ocean forecast information for economic advancement in developed and developing societies23: B. Hackett, Forecasting the drift of objects and substances in the ocean24: A. Oschlies, On the use of data assimilation in biogeochemical modelling25: J. Wilkin and L. Lanerolle, Ocean forecast and analysis models for coastal observatories Appendix Index
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.
Perspectives 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.
Inhaltsverzeichnis
Perspectives 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.
Klappentext
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.
Contributions by truly leading people in the field
Interdisciplinary content and approach
