Exploratory studies of cloud radiative forcing with a general circulation model

References

• Alexander, R. C. and Mobley, R. L. 1976. Monthly average sea-surface temperatures and ice-pack limits on a 10 global grid. Mon. Wea. Rev. 104, 143–148.
   Web of Science ®Google Scholar
• Briegleb, B. P., Minnis, P., Ramanathan, V. and Harrison, E. 1986. Comparison of regional clear-sky albedos inferred from satellite observations and model computations. J. Clim. Appl. Meteorol. 25, 214–226.
   Google Scholar
• Cess, R. D. 1976. Climate change: An appraisal of atmospheric feedback mechanisms employing zonal climatology. J. Atmos. Sci. 33, 1831–1843.
   Web of Science ®Google Scholar
• Cess, R. D., Briegleb, B. P. and Lian, M. S. 1982. Low-latitude cloudiness and climate feedback: Compara-tive estimates from satellite data. J. Atmos. Sci. 39, 53–59.
   Web of Science ®Google Scholar
• Cess, R. D., Potter, G. L., Ghan, S. J. and Gates, W. L. 1985. The climatic effects of large injections of atmospheric smoke and dust: A study of climate feed-back mechanisms with one- and three-dimen-sional climate models. J. Geophys. Res. 90, 12937–12950.
   Web of Science ®Google Scholar
• Cess, R. D. and Ramanathan, V. 1978. Averaging of infrared cloud opacities for climate modeling. J. Atmos. Sci. 35, 919–922.
   Web of Science ®Google Scholar
• Charlock, T. P. 1982. Cloud optical feedback and climate stability in a radiative-convective model. Tellus34, 245–254.
   Google Scholar
• Charlock, T. P. and Ramanathan, V. 1985. The albedo field and cloud radiative forcing produced by a general circulation model with internally generated cloud optics. J. Atmos. Sci. 42, 1408–1429.
   Web of Science ®Google Scholar
• Dickinson, R. E. 1982. Modeling climatic changes due to carbon dioxide increases. In Carbon dioxide review (ed by W. C. Clark). New York: Clarendon, 101–113.
   Google Scholar
• Ghan, S. J., Lingaas, J. W., Schlesinger, M. E., Mobley, R. L. and Gates, W. L. 1982. A documentation of the OSU two-level atmospheric general circulation model. Report 61, Climatic Re-search Institute, Oregon State University, Corvallis, Oreg., 391 pp.
   Google Scholar
• Gruber, A. and Winston, J. S. 1978. Earth-atmosphere radiative heating based on NOAA scanning radiometer measurements. Bull. Amer. Meteorol. Soc. 59,1570–1573.
   Web of Science ®Google Scholar
• Hall, M. C. G., Cacuci, D. G. and Schlesinger, M. E. 1982. Sensitivity analysis of a radiative-convective model by the adjoint method. J. Atmos. Sci. 39, 2038–2050.
   Web of Science ®Google Scholar
• Hartmann, D. L., Ramanathan, V., Berroir, A. and Hunt, G. E. 1986. Earth radiation budget data and climate research. Rev. Geophys. Space Phys. 24, 439–468.
   Web of Science ®Google Scholar
• Hartmann, D. L. and Short, D. A. 1980. On the use of earth radiation budget statistics for studies of clouds and climate. J. Atmos. Sci. 37,1233–1250.
   Web of Science ®Google Scholar
• Herman, G., Wu, M. L. and Johnson, W. 1980. The effects of clouds on the earth's solar and infrared radiation budgets. J. Atmos. Sci. 37, 1251–1261.
   Web of Science ®Google Scholar
• Lacis, A. A. and Hansen, J. E. 1974. A parameterization for the absorption of solar radiation in the earth's atmosphere. J. Atmos. Sci. 31, 118–133.
   Web of Science ®Google Scholar
• Minnis, P. and Harrison, E. F. 1984a. Diurnal vari-ability of regional cloud and clear-sky radiative parameters derived from GOES data. Part II: November 1978 cloud distributions. J. Clim. Appl. Meteorol. 23,1012–1031.
   Web of Science ®Google Scholar
• Minnis, P. and Harrison, E. F. 1984b. Diurnal vari-ability of regional cloud and clear-sky radiative parameters derived from GOES data. Part III: November 1978 radiative parameters. J. Clim. Appl. Meteorol. 23, 1032–1051.
   Google Scholar
• Ohring, G. and Clapp, P. 1980. The effects of changes in cloud amount on the net radiation at the top of the atmosphere. J. Atmos. Sci. 37, 447–454.
   Web of Science ®Google Scholar
• Paltridge, G. W. 1980. Cloud-radiation feedback to climate. Q. J. R. Meteorol. Soc. 106, 895–899.
   Web of Science ®Google Scholar
• Petukhov, V. K., Feygelson, Ye. M. and Manuylova, N. I. 1975. The regulating role of clouds in the heat effects of anthropogenic aerosols and carbon dioxide. Atmos. Oceanic Phys. 11, 802–808.
   Google Scholar
• Potter, G. L. and Cess, R. D. 1984. Background tropospheric aerosols: Incorporation within a statisti-cal-dynamical climate model. J. Geophys. Res. 89, 9521–9526.
   Web of Science ®Google Scholar
• Ramanathan, V. 1981. The role of ocean-atmosphere interactions in the CO2 climate problem. J. Atmos. Sci. 38, 981–930.
   Web of Science ®Google Scholar
• Ramanathan, V. 1983. Modeling studies of cloud radi-ation feedback problems in the earth's atmosphere. The Seymour Hess Memorial Symposium, Recent Advances in Planetary Meteorology, International Union of Geodesy and Geophysics, XVIII General Asembly, Hamburg, Germany, Program and Ab-stracts, p. 373.
   Google Scholar
• Ramanathan, V. 1985. Scientific use of surface radi-ation budget data for climate studies. World Climate Program Report on Surface radiation budget for climate applications, (eds.: J. T. Suttles and G. Ohring). World Meteorological Organization, Geneva, Switzerland.
   Google Scholar
• Ramanathan, V. 1987. The role of earth radiation budget studies in climate and genera circulation research. J. Geophys. Res., in press.
   Google Scholar
• Ramanathan, V., Lian, M. S. and Cess, R. D. 1979. Increased atmospheric CO2: Zonal and seasonal esti-mates of the effect on the radiation energy balance and surface temperature. J. Geophys. Res. 84, 4949–4958.
   Web of Science ®Google Scholar
• Randall, D. A., Abeles, J. A. and Corsetti, T. G. 1985. Seasonal simulations of the planetary boundary layer and boundary-layer stratocumulus clouds with a general circulation model. J. Atmos. Sci. 42, 641–676.
   Web of Science ®Google Scholar
• Randall, D. A. and Harshvardhan 1986. Cloud radiative forcing in a general circulation. Extended Abstracts, Sixth Conference on Atmospheric Radiation, American Meteorological Society, Williamsburg, VA, 31–34.
   Google Scholar
• Saunders, R. W., Stowe, L. L., Hunt, G. E. and England, C. F. 1983. An intercomparison between radiation budget estimates from METEOSAT 1, Nimbus-7 and TIROS-N satellites. J. Clim. Appl. Meteorol. 22, 546–559.
   Google Scholar
• Schlesinger, M. E. 1984. Climate model simulations of CO2-induced climatic change, Adv. Geophys. 26, 141–235.
   Web of Science ®Google Scholar
• Schlesinger, M. E. and Mitchell, J. F. B. 1985. Model projections of the equilibrium climatic response to increased carbon dioxide. Projecting the climatic effects of increasing carbon dioxide, (eds.: M. C. MacCracken and F. M. Luther). US Department of Energy Report DOE/ER-02037, 381 pp.
   Google Scholar
• Slingo, J. 1982. A study of the earth's radiation budget using a general circulation model. Q. J. R. Meteorol. Soc. 180, 379–405.
   Google Scholar
• Somerville, R. C. J. and Remer, L. A. 1984. Cloud optical thickness feedbacks in the CO2 climate problem. J. Geophys. Res. 89, 9668–9672.
   Google Scholar
• Stowe, L. L., Pellegrino, P. P., Hwang, P. H., Bhartia, P. K., Eck, T. F. and Long, C. S. 1986. Spatial and temporal characteristics of global cloud cover as observed from the Nimbus-7 satellite. Extended Abstracts, Sixth Conference on Atmospheric Radiation, American Meteorological Society, Williamsburg, VA, 99–102.
   Google Scholar
• Wetherald, R. T. and Manabe, S. 1986. An investigation of cloud cover change in response to thermal forcing. Clim. Change8, 5–23.
   Web of Science ®Google Scholar