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Climate Prediction Center, NCEP/NOAA, 5200 Auth Road, Room 605, Camp Springs, MD 20746
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- PublicationOpen AccessOcean information provided through ensemble ocean syntheses(2009-09-21)
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;Stammer, D.; für Meereskunde, KlimaCampus, University of Hamburg, Bundesstr. 53, 20146 Hamburg, Germany, ;Kohl, A.; für Meereskunde, KlimaCampus, University of Hamburg, Bundesstr. 53, 20146 Hamburg, Germany, ;Awaji, T.; Faculty of Science, Kyoto University, Sakyo-ku, Kyoto 606-01 – Japan ;Balmaseda, M.; ECMWF, Shinfield Park, Reading, RG2 9AX, UK ;Behringer, D.; Climate Prediction Center, NCEP/NOAA, 5200 Auth Road, Room 605, Camp Springs, MD 20746 ;Carton, J.; Department of Atmospheric and Oceanic Science, 3413 Computer & Spaces Sci. Bldg., Univ. MD., College Park, MD 20742 ;Ferry, N.; Mercator-Océan, 8-10 rue Hermès, 31520 Ramonville Saint-Agne, France ;Fischer, A.; Intergovernmental Oceanographic Commission, United Nations Educational, Scientific and Cultural Organization - 1 rue Miollis - 75732 Paris cedex 15 - France ;Fukumori, I.; NASA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109 ;Giese, B.; Dept of Oceanography, Texas A&M University, College Station, TX 77843, USA ;Haines, K.; e-Science Centre, ESSC, Harry Pitt Bld, 3 Earley Gate, Reading University, Reading RG6 6AL ;Harrison, E.; NOAA/PMEL/OCRD, 7600 Sand Point Way NE Seattle, WA 98125 USA ;Heimbach, P.; Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences, 77 Massachusetts Avenue, Cambridge MA 02139 USA ;Kamachi, M.; Meteorological Research Institute, Japan Meteorological Agency, 1-1 Nagamine, Tsukuba 305-0052, Japan ;Keppenne, C.; Global Modeling and Assimilation Office, Code 610.1, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA ;Lee, T.; NASA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109 ;Masina, S.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione Bologna, Bologna, Italia ;Menemenlis, D.; NASA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109 ;Ponte, R.; Atmospheric and Environmental Research, Inc., 131 Hartwell Avenue, Lexington, MA 02421-3126 USA ;Remy, E.; Mercator-Océan, 8-10 rue Hermès, 31520 Ramonville Saint-Agne, France ;Rienecker, M.; Global Modeling and Assimilation Office, Code 610.1, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA ;Rosati, A.; Geophysics Fluid Dynamics, Princeton University, PO Box 308, Princeton NJ 08540, U.S.A. ;Schroter, J.; ) Alfred-Wegener-Institute for Polar and Marine Research, Postfach 12 01 61, 27515 Bremerhaven, Germany ;Smith, D.; Met Office Hadley Centre, FitzRoy Road, Exeter, UK ;Weaver, A.; ) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, 42 avenue Gaspard Coriolis, 31057 Toulouse, France ;Wunsch, C.; Massachusetts Institute of Technology, Department of Earth, Atmospheric and Planetary Sciences, 77 Massachusetts Avenue, Cambridge MA 02139 USA ;Xue, Y.; Climate Prediction Center, NCEP/NOAA, 5200 Auth Road, Room 605, Camp Springs, MD 20746; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;Hall, J.; Nationale Institute of Water and Atmosphere, Hamilton Box 11-115, Hamilton, New Zeland ;Harrison, D. E.; ) NOAA/PMEL/OCRD, 7600 Sand Point Way NE Seattle, WA 98125 USA ;Stammer, D.; Institut für Meereskunde, KlimaCampus, University of Hamburg, Bundesstr. 53, 20146 Hamburg, Germany; ; Analyzing ocean variability, understanding its importance for the climate system, and quantifying its socio-economic impacts are among the primary motivations for obtaining ongoing global ocean observations. There are several possible approaches to address these tasks. One with much potential for future ocean information services and for climate predictions is called ocean synthesis, and is concerned with merging all available ocean observations with the dynamics embedded in an ocean circulation model to obtain estimates of the changing ocean that are more accurate than either system alone can provide. The field of ocean synthesis has matured over the last decade. Several global ocean syntheses exist today and can be used to investigate key scientific questions, such as changes in sea level, heat content, or transports. This CWP summarizes climate variability as “seen” by several ocean syntheses, describes similarities and differences in these solutions and uses results to highlight developments necessary over the next decade to improve ocean products and services. It appears that multi-model ensemble approaches can be useful to obtain better estimates of the ocean. To make full use of such a system, though, one needs detailed error information not only about data and models, but also about the estimated states. Results show that estimates tend to cluster around methodologies and therefore are not necessarily independent from each other. Results also reveal the impact of a historically under-sampled ocean on estimates of inter-decadal variability in the ocean. To improve future estimates, we need not only to sustain the existing observing system but to extend it to include full-depth ARGO-type measurements, enhanced information about boundary currents and transports through key regions, and to keep all important satellite sensors flying indefinitely, including altimetry, gravimetry and ice thickness, microwave SST observations, wind stress measurements and ocean color. We also need to maintain ocean state estimation as an integral part of the ocean observing and information system.230 268