Editorial Type:
Article
Article Type:
Research Article

An Evaluation of Air–Sea Flux Products for ENSO Simulation and Prediction

M. J. Harrison National Oceanographic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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A. Rosati National Oceanographic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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B. J. Soden National Oceanographic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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E. Galanti Department of Environmental Sciences, The Weizmann Institute of Science, Rehovot, Israel

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E. Tziperman Department of Environmental Sciences, The Weizmann Institute of Science, Rehovot, Israel

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Print Publication:
01 Mar 2002
DOI:
https://doi.org/10.1175/1520-0493(2002)130<0723:AEOASF>2.0.CO;2
Page(s):
723–732
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Abstract

This paper presents a quantitative methodology for evaluating air–sea fluxes related to ENSO from different atmospheric products. A statistical model of the fluxes from each atmospheric product is coupled to an ocean general circulation model (GCM). Four different products are evaluated: reanalyses from the National Centers for Environmental Prediction (NCEP) and the European Centre for Medium-Range Weather Forecasts (ECMWF), satellite-derived data from the Special Sensor Microwave/Imaging (SSM/I) platform and the International Satellite Cloud Climatology Project (ISCCP), and an atmospheric GCM developed at the Geophysical Fluid Dynamics Laboratory (GFDL) as part of the Atmospheric Model Intercomparison Project (AMIP) II. For this study, comparisons between the datasets are restricted to the dominant air–sea mode.

The stability of a coupled model using only the dominant mode and the associated predictive skill of the model are strongly dependent on which atmospheric product is used. The model is unstable and oscillatory for the ECMWF product, damped and oscillatory for the NCEP and GFDL products, and unstable (nonoscillatory) for the satellite product. The ocean model is coupled with patterns of wind stress as well as heat fluxes. This distinguishes the present approach from the existing paradigm for ENSO models where surface heat fluxes are parameterized as a local damping term in the sea surface temperature (SST) equation.

Corresponding author address: M.J. Harrison, NOAA/GFDL, P.O. Box 308, Princeton, NJ 08542. Email: mjh@gfdl.noaa.gov

Abstract

This paper presents a quantitative methodology for evaluating air–sea fluxes related to ENSO from different atmospheric products. A statistical model of the fluxes from each atmospheric product is coupled to an ocean general circulation model (GCM). Four different products are evaluated: reanalyses from the National Centers for Environmental Prediction (NCEP) and the European Centre for Medium-Range Weather Forecasts (ECMWF), satellite-derived data from the Special Sensor Microwave/Imaging (SSM/I) platform and the International Satellite Cloud Climatology Project (ISCCP), and an atmospheric GCM developed at the Geophysical Fluid Dynamics Laboratory (GFDL) as part of the Atmospheric Model Intercomparison Project (AMIP) II. For this study, comparisons between the datasets are restricted to the dominant air–sea mode.

The stability of a coupled model using only the dominant mode and the associated predictive skill of the model are strongly dependent on which atmospheric product is used. The model is unstable and oscillatory for the ECMWF product, damped and oscillatory for the NCEP and GFDL products, and unstable (nonoscillatory) for the satellite product. The ocean model is coupled with patterns of wind stress as well as heat fluxes. This distinguishes the present approach from the existing paradigm for ENSO models where surface heat fluxes are parameterized as a local damping term in the sea surface temperature (SST) equation.

Corresponding author address: M.J. Harrison, NOAA/GFDL, P.O. Box 308, Princeton, NJ 08542. Email: mjh@gfdl.noaa.gov

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