HR: 08:45h
AN: A41F-02    [Abstracts]
TI: Toward Quantitative Estimation of the Effect of Aerosol Particles in the Global Climate Model and Cloud Resolving Model
AU: * Kuba, N
EM: kuba@jamstec.go.jp
AF: Frontier Research Center for Global Change (FRCGC/JAMSTEC), Yokohama Institute for Earth Sciences 3173-25 Showa-machi, Kanazawa-ku, Yokohama, 236-0001 Japan
AU: Nakamura, K
EM: nakamura@jamstec.go.jp
AF: Frontier Research Center for Global Change (FRCGC/JAMSTEC), Yokohama Institute for Earth Sciences 3173-25 Showa-machi, Kanazawa-ku, Yokohama, 236-0001 Japan
AU: Tsuboki, K
EM: tsuboki@rain.hyarc.nagoya-u.ac.jp
AF: Hydrospheric Atmospheric Research Center (HyARC) Nagoya University, Furo-cho, Chikusa-ku,, Nagoya, 464-8601 Japan
AB: Identifying the effect of aerosols on the precipitation and optical properties of clouds is one of the keys to improving the climate model. Therefore it is desirable to install the cloud microphysical model which can estimate the effect of cloud condensation nuclei (CCN) on the cloud microstructure to the climate model or cloud model. To install the bin method cloud microphysical model to 3D non-hydrostatic model, we developed the parameterizations to predict the initial cloud droplet size distribution for bin method. These parameterizations were developed based on the numerous numerical experiments using the cloud microphysical model which can precisely estimate the effect of aerosol particles on the cloud microstructure of clouds. These parameterizations are useful not only for 3D non-hydrostatic cloud resolving model but also for the global model to estimate the effect of aerosol particles. As the first example of the application of these parameterizations, these parameterizations were installed to the global model CCSR/NIES/FRCGC-AGCM equipped with aerosol transportation model SPRINTARS (Takemura et al., 2000, 2002). Cooperating with Dr. Takemura, we calculated the annual mean value of the effective radius of cloud droplets at the top of clouds where the temperature is higher than 273 K in 2000. The calculation clearly demonstrates the land-ocean contrast of the effective radius, which is often shown in the global map of observational satellite data retrieved from AVHRR (Nakajima and Nakajima, 1995; Kawamoto, 2001). To estimate the effect of organic carbon aerosol particles on the effective radius of cloud droplets, another calculation was done in which organic carbon particles are neglected. The comparison of two results shows that the effect of organic carbon particles on the cloud microstructure is not negligible small at South Africa, Australia and South America continents. As the next step of the application of these parameterizations, these parameterizations and two-moment bin method are installed to 3D non-hydrostatic cloud model CReSS (Tsuboki and Sakakibara, 2002). Using this 3D non-hydrostatic cloud model equipped with two-moment bin method we will show the effect of CCN on the precipitation processes.
DE: 0320 Cloud physics and chemistry
SC: Atmospheric Sciences [A]
MN: 2005 Joint Assembly