Parameterization of the effect of cloud condensation nuclei on optical properties of a non-precipitating water layer cloud

被引:6
|
作者
Kuba, N
Iwabuchi, H
Maruyama, K
Hayasaka, T
Takeda, T
Fujiyoshi, T
机构
[1] Frontier Res Syst Global Change, Kanazawa Ku, Yokohama, Kanagawa 2360001, Japan
[2] Natl Res Inst Earth Sci & Disaster Prevent, Tsukuba, Ibaraki 305, Japan
[3] Res Inst Human & Nat, Kyoto, Japan
[4] Tottori Univ Environm Studies, Tottori, Japan
[5] Frontier Res Syst Global Change, Yokohama, Kanagawa, Japan
[6] Hokkaido Univ, Inst Low Temp Sci, Sapporo, Hokkaido, Japan
关键词
D O I
10.2151/jmsj.81.393
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A new method is proposed to predict the optical thickness, effective radius, and concentration of cloud droplets in water layer clouds by using the spectrum of cloud condensation nuclei (CCN), ascent velocity at cloud base, and liquid water path (LWP). A retrieval method is also proposed to predict CCN number concentration by using independent observational data of ascent velocity at the cloud base, the optical thickness and LWP of clouds. For this purpose, a newly developed cloud microphysical model that relates cloud droplet size distributions to the updraft velocity, and to CCN constituents and size distribution is used. Cloud droplet growth is calculated, with special care being taken to avoid non-physical numerical diffusion of the droplet spectrum. Near the cloud base, CCN activation and subsequent cloud droplet growth are calculated in a Lagrangian framework to model the effect of CCN on growth by condensation more accurately. In the middle and upper parts of the cloud, an Eulerian framework is used to estimate growth by coalescence for cloud droplet size distributions. Simulated vertical profiles of droplet size distributions, and a solution to the radiative transfer equation using the discrete ordinate method, with no parameterizations, yield the optical properties of the cloud for short-wavelength radiation. Using the approximation equation proposed in this study, the maximum value of supersaturation in a cloud (S-max) is predicted by observing cumulative activated CCN number concentration at 0.075% supersaturation (N-c(0.075%)), and the ascent velocity at the cloud base. Using this S-max we can estimate N-c(S-max), which is the cumulative. number concentration of CCN, whose critical supersaturations are lower than S-max.N-c(S-max) is used to predict the concentration of cloud droplets at the middle altitude of layer cloud (N-d). Conventionally N-d is assumed to be N-c(S-max). However, our parameterization can show that N-d is smaller than N-c(S-max), when N-c(S-max) is large. For the fixed liquid water path, optical thickness and effective radius, can be, expressed as a function of N-d, unless drizzle is falling from the cloud. The parameterizations developed in this paper are based on the U.S. Standard Atmosphere 1976. If necessary, the parameterizations for the extremely different atmosphere from that used here can be developed in the same way.
引用
收藏
页码:393 / 414
页数:22
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