Improving Latent and Sensible Heat Flux Estimates for the Atlantic Ocean (1988–99) by a Synthesis Approach

Lisan Yu Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts

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Robert A. Weller Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts

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Bomin Sun Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts

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Abstract

A new daily latent and sensible flux product developed at the Woods Hole Oceanographic Institution (WHOI) with 1° × 1° resolution for the Atlantic Ocean (65°S–65°N) for the period from 1988 to 1999 was presented. The flux product was developed by using a variational objective analysis approach to obtain best estimates of the flux-related basic surface meteorological variables (e.g., wind speed, air humidity, air temperature, and sea surface temperature) through synthesizing satellite data and outputs of numerical weather prediction (NWP) models at the National Centers for Environmental Prediction (NCEP) and the European Centre for Medium-Range Weather Forecasts (ECMWF). The state-of-the-art bulk flux algorithm 2.6a, developed from the field experiments of the Coupled Ocean–Atmosphere Response Experiment (COARE), was applied to compute the flux fields.

The study focused on analyzing the mean field properties of the WHOI daily latent and sensible heat fluxes and their comparisons with the ship-based climatology from the Southampton Oceanography Centre (SOC) and NWP outputs. It is found that the WHOI yearly mean fluxes are consistent with the SOC climatology in both structure and amplitude, but the WHOI yearly mean basic variables are not always consistent with SOC; the better agreement in the fluxes is due to the effects of error compensation during variable combinations. Both ECMWF and NCEP–Department of Energy (DOE) Atmospheric Model Intercomparison Project (AMIP) Reanalysis-2 (NCEP2) model data have larger turbulent heat loss (∼20 W m−2) than the WHOI product. Nevertheless, the WHOI fluxes agree well with the NCEP-2 Reanalysis fluxes in structure and the trend of year-to-year variations, but not with the ECMWF operational outputs; the latter have a few abrupt changes coinciding with the modifications in the model forecast–analysis system. The degree of impact of the model changes on the basic variables is not as dramatic, a factor that justifies the inclusion of the basic variables, not the fluxes, from the ECMWF operational model in the synthesis. The flux algorithms of the two NWP models give a larger latent and sensible heat loss. Recalculating the NWP fluxes using the COARE algorithm considerably reduces the strength but does not replicate the WHOI results. The present analysis could not quantify the degree of improvement in the mean aspect of the WHOI daily flux fields as accurate basinwide verification data are lacking.

This study is the first to demonstrate that the synthesis approach is a useful tool for combining the NWP and satellite data sources and improving the mean representativeness of daily basic variable fields and, hence, the daily flux fields. It is anticipated that such an approach may become increasingly relied upon in the preparation of future high-quality flux products.

Current affiliation: NOAA/National Climate Data Center, Asheville, North Carolina

Corresponding author address: Dr. Lisan Yu, MS#21, Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, MA 02543. Email: lyu@whoi.edu

Abstract

A new daily latent and sensible flux product developed at the Woods Hole Oceanographic Institution (WHOI) with 1° × 1° resolution for the Atlantic Ocean (65°S–65°N) for the period from 1988 to 1999 was presented. The flux product was developed by using a variational objective analysis approach to obtain best estimates of the flux-related basic surface meteorological variables (e.g., wind speed, air humidity, air temperature, and sea surface temperature) through synthesizing satellite data and outputs of numerical weather prediction (NWP) models at the National Centers for Environmental Prediction (NCEP) and the European Centre for Medium-Range Weather Forecasts (ECMWF). The state-of-the-art bulk flux algorithm 2.6a, developed from the field experiments of the Coupled Ocean–Atmosphere Response Experiment (COARE), was applied to compute the flux fields.

The study focused on analyzing the mean field properties of the WHOI daily latent and sensible heat fluxes and their comparisons with the ship-based climatology from the Southampton Oceanography Centre (SOC) and NWP outputs. It is found that the WHOI yearly mean fluxes are consistent with the SOC climatology in both structure and amplitude, but the WHOI yearly mean basic variables are not always consistent with SOC; the better agreement in the fluxes is due to the effects of error compensation during variable combinations. Both ECMWF and NCEP–Department of Energy (DOE) Atmospheric Model Intercomparison Project (AMIP) Reanalysis-2 (NCEP2) model data have larger turbulent heat loss (∼20 W m−2) than the WHOI product. Nevertheless, the WHOI fluxes agree well with the NCEP-2 Reanalysis fluxes in structure and the trend of year-to-year variations, but not with the ECMWF operational outputs; the latter have a few abrupt changes coinciding with the modifications in the model forecast–analysis system. The degree of impact of the model changes on the basic variables is not as dramatic, a factor that justifies the inclusion of the basic variables, not the fluxes, from the ECMWF operational model in the synthesis. The flux algorithms of the two NWP models give a larger latent and sensible heat loss. Recalculating the NWP fluxes using the COARE algorithm considerably reduces the strength but does not replicate the WHOI results. The present analysis could not quantify the degree of improvement in the mean aspect of the WHOI daily flux fields as accurate basinwide verification data are lacking.

This study is the first to demonstrate that the synthesis approach is a useful tool for combining the NWP and satellite data sources and improving the mean representativeness of daily basic variable fields and, hence, the daily flux fields. It is anticipated that such an approach may become increasingly relied upon in the preparation of future high-quality flux products.

Current affiliation: NOAA/National Climate Data Center, Asheville, North Carolina

Corresponding author address: Dr. Lisan Yu, MS#21, Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, MA 02543. Email: lyu@whoi.edu

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  • Atlas, R., R. N. Hoffman, and S. C. Bloom, 1993: Surface wind velocities over the ocean. Atlas of Satellite Observations Related to Global Change, R. J. Gurney, J. L. Foster, and C. L. Parkinson, Eds., Cambridge University Press, 128–139.

    • Search Google Scholar
    • Export Citation
  • Beljaars, A. C. M., 1997: Air–sea interaction in the ECMWF model. Proc. Seminar on Atmosphere–Surface Interaction, Reading, United Kingdom, ECMWF, 33–52.

    • Search Google Scholar
    • Export Citation
  • Bradley, E. F., C. W. Fairall, J. E. Hare, and A. A. Grachev, 2000: An old and improved bulk algorithm for air–sea fluxes: COARE2.6a. Preprints, 14th Symp. on Boundary Layer and Turbulence, Aspen, CO, Amer. Meteor. Soc., 294–297.

    • Search Google Scholar
    • Export Citation
  • Bretherton, F. P., R. E. Davis, and C. B. Fandry, 1976: A technique for objective analysis and design of an oceanographic experiment applied to MODE-73. Deep-Sea Res., 23 , 559582.

    • Search Google Scholar
    • Export Citation
  • Brown, J. W., O. B. Brown, and R. H. Evans, 1993: Calibration of AVHRR infared channels: A new approach to non-linear correction. J. Geophys. Res., 98 , 1825718268.

    • Search Google Scholar
    • Export Citation
  • Brunke, M. A., C. W. Fairall, X. Zeng, L. Eymard, and J. A. Curry, 2003: Which bulk aerodynamic algorithms are least problematic in computing ocean surface turbulent fluxes? J. Climate, 16 , 619635.

    • Search Google Scholar
    • Export Citation
  • Bunker, A. F., 1976: Computations of surface energy flux and annual air–sea interaction cycles of the North Atlantic Ocean. Mon. Wea. Rev., 104 , 11221140.

    • Search Google Scholar
    • Export Citation
  • Chou, S-H., R. M. Atlas, C-L. Shie, and J. Ardizzone, 1995: Estimates of surface humidity and latent heat fluxes over oceans from SSM/I data. Mon. Wea. Rev., 123 , 24052425.

    • Search Google Scholar
    • Export Citation
  • Chou, S-H., C-L. Shie, R. M. Atlas, and J. Ardizzone, 1997: Air–sea fluxes retrieved from Special Sensor Microwave Image data. J. Geophys. Res., 102 , 1270512726.

    • Search Google Scholar
    • Export Citation
  • Chou, S-H., E. J. Nelkin, J. Ardizzone, R. M. Atlas, and C-L. Shie, 2003: Surface turbulent heat and momentum fluxes over global oceans based on the Goddard satellite retreivals, version 2 (GSSTF2). J. Climate, 16 , 32563273.

    • Search Google Scholar
    • Export Citation
  • Curry, J. A., C. A. Clayson, W. B. Rossow, R. Reeder, Y. C. Zhang, P. J. Webster, G. Liu, and R. S. Sheu, 1999: High-resolution satellite-derived dataset of the ocean surface fluxes of heat, freshwater and momentum for the TOGA COARE IOP. Bull. Amer. Meteor. Soc., 80 , 20592080.

    • Search Google Scholar
    • Export Citation
  • Daley, R., 1991: Atmospheric Data Analysis. Cambridge University Press, 457 pp.

  • da Silva, A. M., C. C. Young, and S. Levitus, 1994: Anomalies of Heat and Momentum Fluxes, Atlas of Surface Marine Data, NOAA Atlas NESDIS 8, 413 pp.

  • ECMWF, 1994: The description of the ECMWF/WCRP level III—A atmospheric data archive. ECMWF Tech. Attachment, 72 pp.

  • Esbensen, S. K., and Y. Kushnir, 1981: Heat budget of the global ocean: Estimates from surface marine observations. Climate Research Institute, Oregon State University Tech. Rep. 29, 271 pp.

    • Search Google Scholar
    • Export Citation
  • Fairall, C. W., E. F. Bradley, D. P. Rogers, J. B. Edson, and G. S. Young, 1996: Bulk parameterization of air–sea fluxes for TOGA COARE. J. Geophys. Res., 101 , 37473764.

    • Search Google Scholar
    • Export Citation
  • Fairall, C. W., E. F. Bradley, J. E. Hare, A. A. Grachev, and J. B. Edson, 2003: Bulk parameterization of air–sea fluxes: Updates and verification for the COARE algorithm. J. Climate, 16 , 571591.

    • Search Google Scholar
    • Export Citation
  • Gandin, L. S., 1963: Objective Analysis of Meteorological Fields. Hydrometeozidat, 236 pp.

  • Gleckler, P. J., and B. C. Weare, 1997: Uncertainties in global ocean surface heat flux climatologies derived from ship observations. J. Climate, 10 , 27642781.

    • Search Google Scholar
    • Export Citation
  • Halpern, D., V. Zlotnicki, J. Newman, O. Brown, and F. Wentz, 1994: An atlas of monthly distributions of GEOSAT sea surface height, SSMI surface wind speed, AVHRR/2 sea surface temperature, and ECMWF surface wind components during 1988. Jet Propulsion Laboratory Publication 91-8, 110 pp.

    • Search Google Scholar
    • Export Citation
  • Hsiung, J., 1986: Mean surface energy fluxes over the global ocean. J. Geophys. Res., 91 , 1058510606.

  • Isemer, H. J., and L. Hasse, 1985: Observations. Vol. 1, Bunker Climate Atlas of the North Atlantic Ocean, Springer-Verlag, 218 pp.

  • Isemer, H. J., and L. Hasse, 1987: Bunker Climate Atlas of the North Atlantic Ocean, Air–Sea Interactions. Springer-Verlag, 252 pp.

  • Jones, C. S., D. M. Legler, and J. J. O'Brien, 1995: Variability of surface fluxes over the Indian Ocean: 1960–1989. Global Atmos. Ocean Syst., 3 , 32493272.

    • Search Google Scholar
    • Export Citation
  • Josey, S. A., 2001: A comparison of ECMWF, NCEP–NCAR, and SOC surface heat fluxes with moored buoy measurements in the subduction region of the northeast Atlantic. J. Climate, 14 , 17801789.

    • Search Google Scholar
    • Export Citation
  • Josey, S. A., E. C. Kent, and P. K. Taylor, 1998: The Southampton Oceanography Centre (SOC) ocean-atmosphere heat, momentum and freshwater flux atlas. Southampton Oceanography Centre Rep. 6, 30 pp.

    • Search Google Scholar
    • Export Citation
  • Josey, S. A., E. C. Kent, and P. K. Taylor, 1999: New insights into the ocean heat budget closure problem from analysis of the SOC air–sea flux climatology. J. Climate, 12 , 26852718.

    • Search Google Scholar
    • Export Citation
  • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77 , 437471.

  • Kanamitsu, M., 1989: Description of the NMC global data assimilation and forecast system. Wea. Forecasting, 4 , 334342.

  • Kanamitsu, M., W. Ebisuzaki, J. Woolen, J. Potter, and M. Fiorion, 2000: An overview of NCEP/DOE Reanalysis-2. Proc. 2nd Int. Conf. on Reanalyses, Reading, United Kingdom, WMO, 1–4.

    • Search Google Scholar
    • Export Citation
  • Klinker, E., 1997: Diagnosis of the ECMWF model performance over the tropical oceans. Proc. Seminar on Atmosphere–Surface Interaction, Reading, United Kingdom, ECMWF, 53–66.

    • Search Google Scholar
    • Export Citation
  • Kubota, M., A. Kano, H. Muramatsu, and H. Tomita, 2003: Intercomparison of various surface latent heat flux fields. J. Climate, 16 , 670678.

    • Search Google Scholar
    • Export Citation
  • Legler, D. M., I. M. Navon, and J. J. O'Brien, 1989: Objective analysis of pseudostress over the Indian Ocean using a direct-minimization approach. Mon. Wea. Rev., 117 , 709720.

    • Search Google Scholar
    • Export Citation
  • Liu, W. T., K. B. Katsaros, and J. A. Businger, 1979: Bulk parameterizations of air–sea exchanges of heat and water vapor including molecular constraints at the interface. J. Atmos. Sci., 36 , 17221735.

    • Search Google Scholar
    • Export Citation
  • McClain, E. P., W. G. Pichel, and C. C. Walton, 1985: Comparative performance of AVHRR-based multichannel sea surface temperatures. J. Geophys. Res., 90 , 1158711601.

    • Search Google Scholar
    • Export Citation
  • Moyer, K. A., and R. A. Weller, 1997: Observations of surface forcing from the Subduction Experiment: A comparison with global model products and climatological datasets. J. Climate, 10 , 27252742.

    • Search Google Scholar
    • Export Citation
  • Oberhuber, J. M., 1988: An atlas based on the ‘COADS’ data set: The budgets of heat, buoyancy and turbulent kinetic energy at the surface of the global ocean. Max-Planck-Institut für Meteorologie Rep. 15, 20 pp.

    • Search Google Scholar
    • Export Citation
  • Rabier, F., J-N. Thépaut, and P. Courtier, 1998: Extended assimilation and forecast experiments with a four-dimensional variational assimilation system. Quart. J. Roy. Meteor. Soc., 124 , 18611887.

    • Search Google Scholar
    • Export Citation
  • Renfrew, I. A., G. W. K. Moore, P. S. Guest, and K. Bumke, 2002: A comparison of surface layer and surface turbulent flux observations over the Labrador Sea with ECMWF analyses and NCEP reanalyses. J. Phys. Oceanogr., 32 , 383400.

    • Search Google Scholar
    • Export Citation
  • Reynolds, R. W., and T. M. Smith, 1994: Improved global sea surface temperature analyses using optimum interpolation. J. Climate, 7 , 929948.

    • Search Google Scholar
    • Export Citation
  • Schulz, J., P. Schlüssel, and H. Graßl, 1993: Water vapor in the atmospheric boundary layer over oceans from SSM/I measurements. Int. J. Remote Sens., 14 , 27732789.

    • Search Google Scholar
    • Export Citation
  • Schulz, J., J. Meywerk, S. Ewald, and P. Schlüssel, 1997: Evaluation of satellite-derived latent heat fluxes. J. Climate, 10 , 27822795.

    • Search Google Scholar
    • Export Citation
  • Siefridt, L., B. Barnier, K. Beranger, and H. Roquet, 1999: Evaluation of operational ECMWF surface heat fluxes: Impact of parameterization changes during 1986–1996. J. Mar. Syst., 19 , 113135.

    • Search Google Scholar
    • Export Citation
  • Simonot, J-Y. R., and C. Gautier, 1989: Satellite estimates of surface evaporation in the Indian Ocean during the 1979 monsoon. Ocean Air Interact., 1 , 239256.

    • Search Google Scholar
    • Export Citation
  • Smith, S. R., D. M. Legler, and K. V. Verzone, 2001: Quantifying uncertainties in NCEP reanalyses using high-quality research vessel observations. J. Climate, 14 , 40624072.

    • Search Google Scholar
    • Export Citation
  • Sun, B., L. Yu, and R. A. Weller, 2003: Comparisons of surface meteorology and turbulent heat fluxes over the Atlantic: NWP model analyses versus moored buoy observations. J. Climate, 16 , 679695.

    • Search Google Scholar
    • Export Citation
  • Taylor, P. K., Ed.,. . 2000: Intercomparison and validation of ocean-atmosphere energy flux fields. Joint WCRP/SCOR Working Group on Air Sea Fluxes Rep. WCRP-112, 305 pp.

    • Search Google Scholar
    • Export Citation
  • Toole, J. M., H-M. Zhang, and M. J. Caruso, 2004: Time-dependent internal energy budgets of the tropical warm water pools. J. Climate, in press.

    • Search Google Scholar
    • Export Citation
  • Vesperini, M., 1998: Humidity in the ECMWF model: Monitoring of operational analyses and forecasts using SSM/I observations. Quart. J. Roy. Meteor. Soc., 124 , 13131328.

    • Search Google Scholar
    • Export Citation
  • Wang, W., and M. J. McPhaden, 2001: What is the mean seasonal cycle of surface heat flux in the equatorial Pacific? J. Geophys. Res., 106 , 837857.

    • Search Google Scholar
    • Export Citation
  • Webster, P., and R. Lukas, 1992: TOGA COARE: The Coupled Ocean–Atmosphere Response Experiment. Bull. Amer. Meteor. Soc., 73 , 13771416.

    • Search Google Scholar
    • Export Citation
  • Weller, R. A., and S. P. Anderson, 1996: Surface meteorology and air–sea fluxes in the western equatorial Pacific warm pool during the TOGA COARE. J. Climate, 9 , 19591990.

    • Search Google Scholar
    • Export Citation
  • Weller, R. A., M. F. Baumgartner, S. A. Josey, A. S. Fisher, and J. C. Kindle, 1998: Atmospheric forcing in the Arabian Sea during 1994–1995 observations and comparisons with climatology models. Deep-Sea Res., 45 , 19611999.

    • Search Google Scholar
    • Export Citation
  • Wentz, F. J., 1992: Measurement of oceanic wind vector using satellite microwave radiometers. IEEE Trans. Geosci. Remote Sens., 30 , 960972.

    • Search Google Scholar
    • Export Citation
  • Wentz, F. J., 1997: A well-calibrated ocean algorithm for SSM/I. J. Geophys. Res., 102 , 87038718.

  • White, G. H., 1995: An intercomparison of precipitation and surface fluxes from operational NWP analysis/forecast systems. WMO CAS/JSC Working Group on Numerical Experimentation Rep. 22, WMO/TD-723, 33 pp.

    • Search Google Scholar
    • Export Citation
  • Yu, L., and J. J. O'Brien, 1991: Variational estimation of the wind stress drag coefficient and the oceanic eddy viscosity profile. J. Phys. Oceanogr., 21 , 709719.

    • Search Google Scholar
    • Export Citation
  • Yu, L., and J. J. O'Brien, 1995: Variational data assimilation for determining the seasonal net surface heat flux using a tropical Pacific Ocean model. J. Phys. Oceanogr., 25 , 23192343.

    • Search Google Scholar
    • Export Citation
  • Yu, L., B. Sun, and R. A. Weller, 2002: Developing daily latent and sensible heat fluxes for the Atlantic Ocean by synthesizing satellite retrievals and outputs of numerical weather prediction models (1988–1999). WHOI Tech. Rep., 38 pp, and 14 figures.

    • Search Google Scholar
    • Export Citation
  • Zeng, X., M. Zhao, and R. E. Dickinson, 1998: Intercomparison of bulk aerodynamic algorithms for the computation of sea surface fluxes using the TOGA COARE and TAO data. J. Climate, 11 , 26282644.

    • Search Google Scholar
    • Export Citation
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