The Sensitivity of a Coupled Atmospheric–Oceanic GCM to Prescribed Low-Level Clouds over the Ocean and Tropical Landmasses

Richard G. Gudgel National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Anthony Rosati National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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C. T. Gordon National Oceanic and Atmospheric Administration/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Abstract

The sensitivity of a coupled general circulation model (CGCM) to tropical marine stratocumulus (MSc) clouds and low-level clouds over the tropical land is examined. The hypothesis that low-level clouds play an important role in determining the strength and position of the Walker circulation and also on the strength and phase of the El Niño–Southern Oscillation (ENSO) is studied using a Geophysical Fluid Dynamics Laboratory (GFDL) experimental prediction CGCM. In the Tropics, a GFDL experimental prediction CGCM exhibits a strong bias in the western Pacific where an eastward shift in the ascending branch of the Walker circulation diminishes the strength and expanse of the sea surface temperature (SST) warm pool, thereby reducing the east–west SST gradient, and effectively weakening the trade winds. These model features are evidence of a poorly simulated Walker circulation, one that mirrors a “perpetual El Niño” state. One possible factor contributing to this bias is a poor simulation of MSc clouds in the eastern equatorial Pacific (which are essential to a proper SST annual cycle). Another possible contributing factor might be radiative heating biases over the land in the Tropics, which could, in turn, have a significant impact on the preferred locations of maximum convection in the Tropics. As a means of studying the sensitivity of a CGCM to both MSc clouds and to varied radiative forcing over the land in the Tropics, low-level clouds obtained from the International Satellite Cloud Climatology Project (ISCCP) are prescribed. The experiment sets consist of one where clouds are fully predicted, another where ISCCP low-level clouds are prescribed over the oceans alone, and a third where ISCCP low-level clouds are prescribed both over the global oceans and over the tropical landmasses. A set of ten 12-month hindcasts is performed for each experiment.

The results show that the combined prescription of interannually varying global ocean and climatological tropical land low-level clouds into the CGCM results in a much improved simulation of the Walker circulation over the Pacific Ocean. The improvement to the tropical circulation was also notable over the Indian and Atlantic basins as well. These improvements in circulation led to a considerable increase in ENSO hindcast skill in the first year by the CGCM. These enhancements were a function of both the presence of MSc clouds over the tropical oceans and were also due to the more realistic positioning of the regions of maximum convection in the Tropics. This latter model feature was essentially a response to the change in radiative forcing over tropical landmasses associated with a reduction in low cloud fraction and optical depth when ISCCP low-level clouds were prescribed there. These results not only underscore the importance of a reasonable representation of MSc clouds but also point out the considerable impact that radiative forcing over the tropical landmasses has on the simulated position of the Walker circulation and also on ENSO forecasting.

Corresponding author address: Dr. Richard G. Gudgel, Geophysical Fluid Dynamics Laboratory, Princeton University, P.O. Box 308, Princeton, NJ 08540. Email: rgg@gfdl.gov

Abstract

The sensitivity of a coupled general circulation model (CGCM) to tropical marine stratocumulus (MSc) clouds and low-level clouds over the tropical land is examined. The hypothesis that low-level clouds play an important role in determining the strength and position of the Walker circulation and also on the strength and phase of the El Niño–Southern Oscillation (ENSO) is studied using a Geophysical Fluid Dynamics Laboratory (GFDL) experimental prediction CGCM. In the Tropics, a GFDL experimental prediction CGCM exhibits a strong bias in the western Pacific where an eastward shift in the ascending branch of the Walker circulation diminishes the strength and expanse of the sea surface temperature (SST) warm pool, thereby reducing the east–west SST gradient, and effectively weakening the trade winds. These model features are evidence of a poorly simulated Walker circulation, one that mirrors a “perpetual El Niño” state. One possible factor contributing to this bias is a poor simulation of MSc clouds in the eastern equatorial Pacific (which are essential to a proper SST annual cycle). Another possible contributing factor might be radiative heating biases over the land in the Tropics, which could, in turn, have a significant impact on the preferred locations of maximum convection in the Tropics. As a means of studying the sensitivity of a CGCM to both MSc clouds and to varied radiative forcing over the land in the Tropics, low-level clouds obtained from the International Satellite Cloud Climatology Project (ISCCP) are prescribed. The experiment sets consist of one where clouds are fully predicted, another where ISCCP low-level clouds are prescribed over the oceans alone, and a third where ISCCP low-level clouds are prescribed both over the global oceans and over the tropical landmasses. A set of ten 12-month hindcasts is performed for each experiment.

The results show that the combined prescription of interannually varying global ocean and climatological tropical land low-level clouds into the CGCM results in a much improved simulation of the Walker circulation over the Pacific Ocean. The improvement to the tropical circulation was also notable over the Indian and Atlantic basins as well. These improvements in circulation led to a considerable increase in ENSO hindcast skill in the first year by the CGCM. These enhancements were a function of both the presence of MSc clouds over the tropical oceans and were also due to the more realistic positioning of the regions of maximum convection in the Tropics. This latter model feature was essentially a response to the change in radiative forcing over tropical landmasses associated with a reduction in low cloud fraction and optical depth when ISCCP low-level clouds were prescribed there. These results not only underscore the importance of a reasonable representation of MSc clouds but also point out the considerable impact that radiative forcing over the tropical landmasses has on the simulated position of the Walker circulation and also on ENSO forecasting.

Corresponding author address: Dr. Richard G. Gudgel, Geophysical Fluid Dynamics Laboratory, Princeton University, P.O. Box 308, Princeton, NJ 08540. Email: rgg@gfdl.gov

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  • Barkstrom, B. R., E. F. Harrison, and R. B. Lee III, 1990: Earth Radiation Budget Experiment, preliminary seasonal results. Eos, Trans. Amer. Geophys. Union, 71 , 297. 304305.

    • Search Google Scholar
    • Export Citation
  • Derber, J., and A. Rosati, 1989: A global oceanic data assimilation system. J. Phys. Oceanogr, 19 , 13331347.

  • Gordon, C. T., A. Rosati, and R. Gudgel, 2000: Tropical sensitivity of a coupled model to specified ISCCP low clouds. J. Climate, 13 , 22392260.

    • Search Google Scholar
    • Export Citation
  • Hahn, C. J., S. G. Warren, and J. London, 1996: Edited synoptic cloud reports from ships and land stations over the globe: 1982–1991. Tech. Rep. NDP026B, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, TN, 45 pp. [Available online at cdiac.esd.ornl.gov.].

    • Search Google Scholar
    • Export Citation
  • Hughs, N. A., 1984: Global cloud climatologies: A historical review. J Climate Appl. Meteor, 23 , 724751.

  • Kiehl, J. T., 1998: Simulation of the tropical pacific warm pool with the NCAR climate system model. J. Climate, 11 , 13421355.

  • Legler, D. M., and J. J. O'Brien, 1988: Tropical Pacific wind stress analysis for TOGA, IOC time series of ocean measurements. Vol. 4, IOC Tech. Series, No. 33, UNESCO, 11–17.

    • Search Google Scholar
    • Export Citation
  • Ma, C-C., C. R. B. Mechoso, A. W. Robertson, and A. Arakawa, 1996: Peruvian stratus clouds and the tropical Pacific circulation: A coupled ocean–atmosphere GCM study. J. Climate, 9 , 16251645.

    • Search Google Scholar
    • Export Citation
  • Mechoso, C. R., and Coauthors. 1995: The seasonal cycle over the tropical Pacific in coupled ocean–atmosphere general circulation models. Mon. Wea. Rev, 123 , 28252838.

    • Search Google Scholar
    • Export Citation
  • Meleshko, V. P., and R. T. Wetherald, 1981: The effect of a geographical cloud distribution on climate: A numerical experiment with an atmosphere general circulation model. J. Geophys. Res, 86 , (C12),. 1199512014.

    • Search Google Scholar
    • Export Citation
  • Mokhov, I. I., and M. E. Schlesinger, 1994: Analysis of global cloudiness. 2. Comparisons of ground-based and satellite-based cloud climatologies. J. Geophys. Res, 99 , 17 04517 065.

    • Search Google Scholar
    • Export Citation
  • Moorthi, S., and M. J. Suarez, 1992: Relaxed Arakawa–Schubert: A parameterization of moist convection for general circulation models. Mon. Wea. Rev, 120 , 9781002.

    • Search Google Scholar
    • Export Citation
  • Newell, R. E., J. W. Kidson, D. G. Vincent, and G. J. Boer, 1974: The General Circulation of the Tropical Atmosphere. Massachusetts Institute of Technology/Colonial Press, 149 pp.

    • Search Google Scholar
    • Export Citation
  • Pacanowski, R. C., 1995: MOM documentation user's guide and reference manual. GFDL Ocean Tech. Rep. 3, GFDL/NOAA, Princeton, NJ, 232 pp. [Available from NOAA/GFDL, P.O. Box 308, Princeton, NJ, 08542-0308.].

    • Search Google Scholar
    • Export Citation
  • Pacanowski, R. C., and S. G. H. Philander, 1981: Parameterization of vertical mixing in numerical models of tropical oceans. J. Phys. Oceanogr, 11 , 14431451.

    • Search Google Scholar
    • Export Citation
  • Reynolds, R. W., 1988: A real-time global sea surface temperature analysis. J. Climate, 1 , 7586.

  • Rosati, A., R. Gudgel, and K. Miyakoda, 1994: Decadal analysis produced from an ocean data assimilation system. Mon. Wea. Rev, 123 , 22062228.

    • Search Google Scholar
    • Export Citation
  • Rosati, A., K. Miyakoda, and R. Gudgel, 1997: The impact of ocean initial conditions on ENSO forecasting with a coupled model. Mon. Wea. Rev, 125 , 754772.

    • Search Google Scholar
    • Export Citation
  • Rossow, W. B., A. Walker, and M. Roiter, 1996: International Satellite Cloud Climatology Project (ISCCP) description of reduced resolution radiance data, revised. WMO/TD-No. 58, World Meteorological Organization, 163 pp.

    • Search Google Scholar
    • Export Citation
  • Smagorinsky, J., 1963: General circulation experiments with the primitive equations. Part 1: The basic experiment. Mon. Wea. Rev, 91 , 99164.

    • Search Google Scholar
    • Export Citation
  • Stockdale, T., M. Latif, G. Burgers, and J-O. Wolff, 1994: Some sensitivities of a coupled ocean–atmosphere GCM. Tellus, 46A , 367380.

    • Search Google Scholar
    • Export Citation
  • Weare, B. C., 1999: Near-global observation of low clouds,. J. Climate, 13 , 12551268.

  • Webster, P. J., 1994: The role of hydrological processes in ocean–atmosphere interactions. Rev. Geophys, 32 , 427476.

  • Wielicki, B. A., and L. Parker, 1992: On the determination of cloud cover from satellite sensors: The effect of sensor spatial resolution. J. Geophys. Res, 97 , 12 79912 823.

    • Search Google Scholar
    • Export Citation
  • Yu, J-Y., and C. R. Mechoso, 1999: Links between annual variations of Peruvian stratus clouds and of SST in the eastern equatorial Pacific. J. Climate, 12 , 33053318.

    • Search Google Scholar
    • Export Citation
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