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Kunihiro Aoki, Yasumasa Miyazawa, Tsutomu Hihara, and Toru Miyama

). All of this therefore implies that the transition among the Kuroshio paths is highly sensitive to the initial condition representing the state before the transition, and hence the Kuroshio path variability could be conceived as a probabilistic phenomenon associated with uncertainty involved in the initial condition. Accordingly, an ensemble forecast could be an effective means for providing a better forecast. Ensemble forecasts are widely utilized in short- and medium-range meteorological contexts

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A. R. Robinson and D. B. Haidvogel

DECEMBER1980 A.R. ROBINSON AND D. B. HAIDVOGEL 1909Dynamical Forecast Experiments with a Barotropic Open Ocean Model A. R. ROBINSONDivision of Applied Sciences, Harvard University, Cambridge, MA 02138 D. B. HAIDVOGELDepartment of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, MA 02543(Manuscript received 10 March 1980, in final form 18 August 1980)ABSTRACT

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Arthur J. Miller, Pierre-Marie Poulain, Alex Warn-Varnas, Hernan G. Arango, Allan R. Robinson, and Wayne G. Leslie

JUNEI995 MILLER ET AL. 1273Quasigeostrophic Forecasting and Physical Processes of Iceland-Faroe Frontal Variability ARTHUR J. MILLER,* HERNAN G. ARANGO,** ALLAN R. ROBINSON,** WAYNE G. LESLIE,** PIERRE-MARIE POULAIN,* AND ALEX WARN-VARNAS* * SACLANT Undersea Research Centre, La Spezia, Italy** Division of Applied Sciences and Department of Earth

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P. E. Dexter

OCTOBP;R 1974 P. E. D E X T E R 635Tests on Some Programmed Numerical Wave Forecast Models P. E. D~x'r~RBureau of Meteorology, Melbourne, Australia(Manuscript received 18 March 1974~ in revised form 28 June 1974)ABSTRACT Numerical forecasting of wind-generated ocean waves by digital computer may be attempted using anyof three fundamentally different ways of describing wave generation

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Javier Zavala-Garay, J. L. Wilkin, and H. G. Arango

1. Introduction Predictability is an active area of research in the study of geophysical fluids not only for its scientific and technological challenges but also for its great applicability in practical problems. A notable example of how research developments in this area yield social and economic benefits is the field of numerical weather prediction (NWP), where modern skillful forecasts are the result from the combination of many observations from different in situ and remote sensing

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Allan R. Robinson, James A. Carton, Nadia Pinardi, and Christopher N. K. Mooers

SEPTEMBER 1986 ROBINSON, CARTON, PINARDI AND MOOERS 1561Dynamical Forecasting and Dynamical Interpolation:An Experiment in the California Current ALLAN R. ROBINSON, JAMES A. CARTON AND NADIA PINARDICenter for Earth and Planetary Physics, Harvard University, Cambridge, MA 02138 CHRISTOPHER N. K. MOOERSDepartment of Oceanography, Naval Postgraduate School, Monterey, CA 93943(Manuscript received 20 August 1985, in

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Leonard J. Walstad and Allan R. Robinson

1682 JOURNAL OF PHYSICAL OCEANOGRAPHY Vo~-uMls20Hindcasting and Forecasting of the POLYMODE Data Set with the Harvard Open-Ocean Model LEONARD J. WALSTAD* AND ALLAN R. ROBINSONDepartment of Earth and Planetary Physics, Harvard University, Cambridge, Massachusetts(Manuscript received 16 August 1989, in final form 23 March 1990)ABSTRACt A regional quasi-geostrophic model has been used to hindcast

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Michele M. Rienecker, Christopher N. K. Mooers, and Allan R. Robinson

AUGUST I987 RIENECKER, MOOERS AND ROBINSON 1189Dynamical Interpolation and Forecast Of the Evolution of Mesoscale Features off Northern CaliforniaMICHELE M. RIENECKERl AND CHRISTOPHER N. Ko MOOERS1 Dept. of Oceanography, Naval Postgraduate School, Monterey, CA 93943 ALLAN R. ROBINSONCenter for Earth and Planetary Physics, Harvard University, Cambridge, MA 02138

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Yoichi Ishikawa, Toshiyuki Awaji, and Nobumasa Komori

1. Introduction Numerical forecasting systems for oceanic circulation are a subject of increasing interest in physical oceanography and climate research, since they are very important components of predictive atmosphere–ocean coupled systems, which provide useful information on oceanic variabilities associated with major current systems and mesoscale eddies as well as data for shipping and fisheries applications (e.g., Hurlburt 1986 ). Thus, much attention has recently been paid to the

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Warren B. White, Stephen E. Pazan, and Masamichi Inoue

264 JOURNAL OF PHYSICAL OCEANOGRAPHY VOLUME 17Hindcast/Forecast of ENSO Events Based upon the Redistribution of Observedand Model Heat Content in the Western Tropical Pacific, 1964-86 WARREN B. WHITE AND STEPHEN E. PAZANScripps Institution of Oceanography, University of California, San Diego, La Jolla, CA 92097 MASAMICHI INOUE*Florida State University, Tallahassee, FL 32306

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