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Marine Ecosystems Research Department - jamstec japan agency ...

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Japan <strong>Marine</strong> Science and Technology Center<br />

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

1000<br />

800<br />

a<br />

V base = 0.24 ms -1<br />

V base = 0.12 ms -1<br />

V base = 0.06 ms -1<br />

10000<br />

8000<br />

b V base = 2.0 ms -1<br />

V base = 1.0 ms -1<br />

V base = 0.5 ms -1<br />

Nd (cm -3 )<br />

600<br />

400<br />

Nd (cm -3 )<br />

6000<br />

4000<br />

200<br />

2000<br />

0<br />

0 200 400 600 800 1000<br />

0<br />

0 2000 4000 6000 8000 10000<br />

N c (0.2%) (cm -3 )<br />

N c (0.5%) (cm -3 )<br />

Fig. 7 a. Relationship between cloud droplet concentration at 100m above cloud base, N d , and<br />

the cumulative number of CCN that can be activated at 0.2% supersaturation, N c (0.2%),<br />

for three updraft velocities: 0.24, 0.12 and 0.06m s -1 .<br />

b. Relationship between the cloud droplet concentration at 100m above cloud base, N d ,<br />

and the cumulative number of CCN that can be activated at 0.5% supersaturation, N c<br />

(0.5%), for three updraft velocities: 0.5, 1.0, and 2.0m s -1 .<br />

c-. Improvement of Cloud-resolving Models and<br />

Numerical Experiments<br />

A mesoscale-convection-resolving model (MCRM),<br />

which had been developed and applied to cloud clusters<br />

associated with a Baiu front in the previous year, was<br />

used to simulate and understand typhoon Flo (T). It<br />

was shown that the MCRM could simulate rainfall distributions<br />

and other features of the typhoon much better<br />

than those obtained in an international model intercomparison<br />

(Nagata et al., ) by other researchers and<br />

operational prediction centers (Figure ). Although it is<br />

desirable to improve the MCRM further in coming years,<br />

it appears that the performance of the model has nearly<br />

attained a reasonable level with respect to parameterization<br />

(or implicit representation) of the effects of cumulus<br />

convection which is of the subgrid-scale in a model having<br />

horizontal grid sizes of ~km. On the other hand, a<br />

nonhydrostatic model, which can resolve cumulus convection<br />

with a grid size of km, was significantly<br />

improved, and used to simulate and understand a tropical<br />

squall-line. A triply-nested grid version was also developed<br />

to study efficiently weather systems such as Baiu<br />

fronts and tropical cyclones in the near future, which<br />

should also be a basis for improvement of the MCRM.<br />

c-. Understanding the Physical Processes of<br />

Mesoscale Convective Systems<br />

Numerical experiments of the mesoscale system<br />

along the Meiyu front were performed. The system is<br />

the one observed near Fuyang radar site (. E,<br />

. N) on July , . Two datasets, i.e., the<br />

LATITUDE<br />

LATITUDE<br />

QC (200) at 24 hours<br />

QC (200) at 48 hours<br />

25<br />

25<br />

4<br />

4<br />

3<br />

3<br />

20<br />

2 20<br />

2<br />

1<br />

1<br />

0<br />

0<br />

0<br />

0<br />

15<br />

15<br />

130 135 140 145<br />

130 135 140 145<br />

LONGITUDE<br />

LONGITUDE<br />

Fig. 8 Cloud water content at 200 hPa (upper panels) and lowlevel<br />

rainwater content (lower panels) in Typhoon 9019<br />

(Flo) simulated by our model (MCRM) at 24 hours (left) and<br />

48 hours (right) after the initial time.<br />

LATITUDE<br />

LATITUDE<br />

QR (SFC) at 24 hours<br />

QR (SFC) at 48 hours<br />

25<br />

25<br />

4<br />

4<br />

2<br />

2<br />

20<br />

20<br />

0<br />

0<br />

0<br />

0<br />

0<br />

0<br />

15<br />

15<br />

130 135 140 145<br />

130 135 140 145<br />

LONGITUDE<br />

LONGITUDE<br />

125

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