A Study of the Aerosol Effect on a Cloud Field with Simultaneous Use of GCM Modeling and Satellite Observation

The indirect effect of aerosols was simulated by a GCM for nonconvective water clouds and was compared with remote sensing results from the Advanced Very High Resolution Radiometer (AVHRR) satellite-borne sensor for January, April, July, and October of 1990. The simulated global distribution of cloud droplet radius showed a land‐sea contrast and a characteristic feature along the coastal region similar to the AVHRR results, although cloud droplet radii from GCM calculations and AVHRR retrievals were different over tropical marine regions due to a lack of calculation of cloud‐aerosol interaction for convective clouds in the present model and also due to a possible error in the satellite retrieval caused by cirrus and broken cloud contamination. The simulated dependence of the cloud properties on the column aerosol particle number was also consistent with the statistics obtained by the AVHRR remote sensing when a parameterization with the aerosol lifetime effect was incorporated in the simulation. The global average of the simulated liquid water path based on the parameterization with the aerosol lifetime effect showed an insignificant dependence on the aerosol particle number as a result of a global balance of the lifetime effect and the wash-out effect. This dependence was contrary to the results of simulations based on the Sundqvist’s parameterization without aerosol lifetime effect; that is, the simulated cloud liquid water path showed a decreasing tendency with the aerosol particle number reflecting only the wash-out effect.

[1]  T. Nakajima,et al.  A use of two‐channel radiances for an aerosol characterization from space , 1998 .

[2]  A. Slingo,et al.  Predicting cloud‐droplet effective radius and indirect sulphate aerosol forcing using a general circulation model , 1996 .

[3]  T. Nakajima,et al.  Wide-Area Determination of Cloud Microphysical Properties from NOAA AVHRR Measurements for FIRE and ASTEX Regions , 1995 .

[4]  J. Conover Anomalous Cloud Lines , 1966 .

[5]  Atusi Numaguti,et al.  Dynamics and Energy Balance of the Hadley Circulation and the Tropical Precipitation Zones: Significance of the Distribution of Evaporation , 1993 .

[6]  Hajime Okamoto,et al.  Global three‐dimensional simulation of aerosol optical thickness distribution of various origins , 2000 .

[7]  M. King,et al.  Direct and Remote Sensing Observations of the Effects of Ships on Clouds , 1989, Science.

[8]  P. Squires,et al.  The Microstructure and Colloidal Stability of Warm Clouds , 1958 .

[9]  Melanie A. Wetzel,et al.  Satellite‐observed patterns in stratus microphysics, aerosol optical thickness, and shortwave radiative forcing , 1999 .

[10]  Zhaoxin Li,et al.  Sensitivity of an atmospheric general circulation model to prescribed SST changes: feedback effects associated with the simulation of cloud optical properties , 1991 .

[11]  Joyce E. Penner,et al.  An assessment of the radiative effects of anthropogenic sulfate , 1997 .

[12]  P. Squires,et al.  The Microstructure and Colloidal Stability of Warm Clouds: Part I — The Relation between Structure and Stability , 1958 .

[13]  Teruyuki Nakajima,et al.  Development of a Two-Channel Aerosol Retrieval Algorithm on a Global Scale Using NOAA AVHRR , 1999 .

[14]  Yoram J. Kaufman,et al.  Effect of Amazon smoke on cloud microphysics and albedo - analysis from satellite imagery , 1993 .

[15]  F. Giorgi,et al.  Correlation between model‐calculated anthropogenic aerosols and satellite‐derived cloud optical depths: Indication of indirect effect? , 2002 .

[16]  Y. Kaufman,et al.  The effect of smoke particles on clouds and climate forcing , 1997 .

[17]  D. Erickson,et al.  On the global flux of atmospheric sea salt , 1988 .

[18]  B. Holben,et al.  Single-Scattering Albedo and Radiative Forcing of Various Aerosol Species with a Global Three-Dimensional Model , 2002 .

[19]  J. Coakley,et al.  Effect of Ship-Stack Effluents on Cloud Reflectivity , 1987, Science.

[20]  A. Lacis,et al.  Near-Global Survey of Effective Droplet Radii in Liquid Water Clouds Using ISCCP Data. , 1994 .

[21]  D. L. Roberts,et al.  A climate model study of indirect radiative forcing by anthropogenic sulphate aerosols , 1994, Nature.

[22]  Teruyuki Nakajima,et al.  A possible correlation between satellite‐derived cloud and aerosol microphysical parameters , 2001 .

[23]  Joyce E. Penner,et al.  Indirect effect of sulfate and carbonaceous aerosols: A mechanistic treatment , 2000 .

[24]  J. Coakley,et al.  Climate Forcing by Anthropogenic Aerosols , 1992, Science.

[25]  H. Masunaga,et al.  Physical properties of maritime low clouds as retrieved by combined use of Tropical Rainfall Measuring Mission (TRMM) Microwave Imager and Visible/Infrared Scanner 2. Climatology of warm clouds and rain , 2002 .

[26]  M. Khairoutdinov,et al.  A New Cloud Physics Parameterization in a Large-Eddy Simulation Model of Marine Stratocumulus , 2000 .

[27]  George Tselioudis,et al.  GCM Simulations of the Aerosol Indirect Effect: Sensitivity to Cloud Parameterization and Aerosol Burden , 2002 .

[28]  Qingyuan Han,et al.  Three Different Behaviors of Liquid Water Path of Water Clouds in Aerosol-Cloud Interactions , 2002 .

[29]  Y. Tsushima,et al.  Modeling of the radiative process in an atmospheric general circulation model. , 2000, Applied optics.

[30]  E. Kessler On the distribution and continuity of water substance in atmospheric circulations , 1969 .

[31]  D. W. Johnson,et al.  The Measurement and Parameterization of Effective Radius of Droplets in Warm Stratocumulus Clouds , 1994 .

[32]  Rosenfeld,et al.  Suppression of rain and snow by urban and industrial air pollution , 2000, Science.

[33]  D. Erickson,et al.  Seasonal estimates of global atmospheric sea‐salt distributions , 1986 .

[34]  J. Houghton,et al.  Climate change 1995: the science of climate change. , 1996 .

[35]  Leon D. Rotstayn,et al.  Indirect forcing by anthropogenic aerosols: A global climate model calculation of the effective‐radius and cloud‐lifetime effects , 1999 .

[36]  Teruyuki Nakajima,et al.  A Global Determination of Cloud Microphysics with AVHRR Remote Sensing , 2001 .

[37]  E. Berry,et al.  Cloud Droplet Growth by Collection , 1967 .

[38]  S. Twomey Pollution and the Planetary Albedo , 1974 .

[39]  U. Lohmann,et al.  Impact of sulfate aerosols on albedo and lifetime of clouds: A sensitivity study with the ECHAM4 GCM , 1997 .

[40]  S. Ghan,et al.  A parameterization of cloud droplet nucleation part I: single aerosol type , 1993 .

[41]  R. Charlson,et al.  Bistability of CCN concentrations and thermodynamics in the cloud-topped boundary layer , 1990, Nature.

[42]  D. Rosenfeld TRMM observed first direct evidence of smoke from forest fires inhibiting rainfall , 1999 .

[43]  B. Albrecht Aerosols, Cloud Microphysics, and Fractional Cloudiness , 1989, Science.

[44]  Olivier Boucher,et al.  The sulfate‐CCN‐cloud albedo effect , 1995 .

[45]  Hilding Sundqvist,et al.  A parameterization scheme for non-convective condensation including prediction of cloud water content , 1978 .

[46]  Harshvardhan,et al.  Influence of anthropogenic aerosol on cloud optical depth and albedo shown by satellite measurements and chemical transport modeling , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[47]  T. L. Wolfe,et al.  An assessment of the impact of pollution on global cloud albedo , 1984 .

[48]  M. King,et al.  Determination of the optical thickness and effective particle radius of clouds from reflected solar , 1990 .