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Marine Ecosystems Research Department - jamstec japan agency ...

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JAMSTEC 2002 Annual Report<br />

Frontier <strong>Research</strong> System for Global Change<br />

reduced by the frozen soil permeability and is<br />

enhanced by the surface storage (see Figure ).<br />

The effects of the land-surface process on the Asian<br />

continent were estimated by data analysis and by<br />

numerical models. We found that the land surface heating<br />

in Siberia affects the activity of the Okhotsk high,<br />

which often bring us cold summers. By data analysis,<br />

the relation between the land surface in Siberia and the<br />

Okhotsk high are speculated as follows: () A poleward<br />

warm and moist air advection appears in the<br />

lower troposphere induced by the heat contrast<br />

between the continent and Okhotsk Sea. () The warm<br />

and moist poleward wind increases convection instability<br />

around East Siberia and then cumulus convection<br />

appears there. () Latent heat released by the cumulus<br />

m<br />

m<br />

m<br />

0.5<br />

1<br />

1.5<br />

2<br />

2.5<br />

Soil moisture and flux at Khabarovsk<br />

P run<br />

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC<br />

1982<br />

0.5<br />

1<br />

1.5<br />

2<br />

2.5<br />

PI run<br />

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC<br />

1982<br />

0.5<br />

1<br />

1.5<br />

2<br />

2.5<br />

PID run<br />

JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC<br />

1982<br />

0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4 0.45<br />

Fig. 6 Time-depth cross section of daily volumetric soil moisture<br />

content (color tones) and soil moisture fluxes (arrows) at<br />

Khabarovsk. Upper panel: without soil moisture flux, without<br />

surface water storage, Middle panel: Same as the<br />

upper panel except for with ice dependent permeability of<br />

frozen ground, Bottom panel: Same as the middle panel,<br />

except for with surface water storage.<br />

convection deforms the large scale atmospheric circulation<br />

and forms an anti-cyclonic circulation around<br />

the convective region. () The upper tropospheric ridge<br />

is formed by the interaction between the anti-cyclonic<br />

circulation and the westerly. () Then, the Okhotsk<br />

high is intensified by an equatorward flow located east<br />

of the ridge in the upper troposphere.<br />

c. Clouds and Precipitation Process Group<br />

c-. Improvement of Parameterization Schemes of<br />

Microphysics and Radiative Properties of Clouds<br />

We proposed a new method to predict the optical<br />

thickness, effective radius, and concentration of cloud<br />

droplets in water layer clouds by using the spectrum of<br />

cloud condensation nuclei (CCN), ascent velocity at<br />

cloud base, and liquid water path (LWP) (Kuba et al.,<br />

). A retrieval method is also proposed to predict<br />

CCN number concentration by using independent observational<br />

data of ascent velocity at the cloud base, the<br />

optical thickness and LWP of clouds. These parameterizations<br />

are derived from a large number of numerical<br />

simulations using a newly developed cloud microphysical<br />

model. Then, Kuba and Iwabuchi () improved<br />

the approximation for convenience. In addition, this<br />

study proposes an approximation for higher updraft<br />

velocities than those in the previous paper (Figure ).<br />

A multi-spectral non-local (MSN) method to<br />

retrieve boundary layer cloud physical quantities from<br />

optical remote sensing data is examined as an alternative<br />

to the conventional independent pixel approximation<br />

(IPA) retrieval method. The radiance data to be<br />

observed from space were simulated by using a threedimensional<br />

radiation model and stochastic boundary<br />

layer cloud model with horizontal and vertical inhomogeneity<br />

of cloud liquid water and effective radius.<br />

It is demonstrated that with MSN method, the error<br />

can be reduced to about -%. A generalization ability<br />

of MSN method was examined, and a high performance<br />

is demonstrated, not highly depending on<br />

assumptions in inhomogeneous cloud models.<br />

124

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