15.11.2013 Views

Marine Ecosystems Research Department - jamstec japan agency ...

Marine Ecosystems Research Department - jamstec japan agency ...

Marine Ecosystems Research Department - jamstec japan agency ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

JAMSTEC 2002 Annual Report<br />

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

P (mb)<br />

0.1<br />

1<br />

10<br />

1E+2<br />

1E+3<br />

0.0 5.0 10.0 15.0 20.0 25.0<br />

Heating Rate (K/d)<br />

P (mb)<br />

0.1<br />

1<br />

10<br />

1E+2<br />

1E+3<br />

a<br />

TRO<br />

-0.2 0.2<br />

-0.4 0.0 0.4<br />

Error (K/d)<br />

0.0 10.0 20.0 30.0<br />

Heating Rate (K/d)<br />

P (mb)<br />

0.1<br />

1<br />

10<br />

1E+2<br />

1E+3<br />

c<br />

e<br />

MLW<br />

SAW<br />

CKD<br />

LBL<br />

Error<br />

CKD<br />

LBL<br />

Error<br />

CKD<br />

LBL<br />

Error<br />

-0.2 0.2<br />

-0.4 0.0 0.4<br />

Error (K/d)<br />

0.0 5.0 10.0 15.0 20.0 25.0<br />

Heating Rate (K/d)<br />

P (mb)<br />

0.1<br />

1<br />

10<br />

1E+2<br />

1E+3<br />

0.1<br />

1<br />

10<br />

1E+2<br />

1E+3<br />

b<br />

MLS<br />

0.0 5.0 10.0 15.0 20.0 25.0<br />

Heating Rate (K/d)<br />

P (mb)<br />

0.1<br />

1<br />

10<br />

1E+2<br />

d<br />

SAS<br />

-0.2 0.2<br />

-0.4 0.0 0.4<br />

Error (K/d)<br />

0.0 5.0 10.0 15.0 20.0 25.0<br />

Heating Rate (K/d)<br />

P (mb)<br />

f<br />

USS<br />

CKD<br />

LBL<br />

Error<br />

CKD<br />

LBL<br />

Error<br />

CKD<br />

LBL<br />

Error<br />

-0.2 0.2<br />

-0.4 0.0 0.4<br />

Error (K/d)<br />

1E+3<br />

0.0 10.0 20.0 30.0<br />

Heating Rate (K/d)<br />

to Baiu. As to the effect on the intra-seasonal (M-J)<br />

oscillation, the inclusion of the trigger apparently<br />

improves its generation and propagation.<br />

(iii) Improvement in the diagnosis of cloud amount<br />

So far there was a problem regarding the determination<br />

of cloud amount in the currently used CCSR/NIES<br />

AGCM. Namely, in increasing the vertical resolution<br />

hence increasing the number of cloud layers the simulated<br />

total cloud amount tends to be larger compared<br />

with the observation though the TOA radiation balance<br />

is correct (parameters are tuned to keep the balance).<br />

The most likely cause of the problem was considered<br />

to come from more and more "thin clouds" formation<br />

with the increase of layers. So, in counting cloud<br />

amount or identifying cloud area, a threshold in cloud<br />

optical thickness was introduced. The value is . in<br />

accord with the threshold adopted by ISCCP. Results<br />

of simulation with this threshold were apparently better<br />

than those without it.<br />

-0.2 0.2<br />

-0.4 0.0 0.4<br />

Error (K/d)<br />

-0.2 0.2<br />

-0.4 0.0 0.4<br />

Error (K/d)<br />

Fig.19 Spectrally integrated longwave heating rates calculated by<br />

ck-D model, LBL model and differences between them for<br />

six atmospheres (a, b, c, d, e and f).<br />

and . For long wave the new scheme has such an<br />

accuracy that heating/cooling rate errors are less than<br />

. K/day in the entire troposphere and . K/day<br />

above the tropopause. At short wave range the error in<br />

heating rate is less than . K/day in the troposphere<br />

and less than . K/day above the tropopause.<br />

(ii) Introduction of "trigger" into the convection parameterization<br />

Since most of cumulonimbus type convection occurs<br />

under the latent instability conditions, there must be<br />

some triggering mechanism to bring an air-parcel up to<br />

the level of free convection by overcoming the negative<br />

buoyancy. So, we have introduced a trigger process to<br />

the CCSR/NIES AGCM and tested its performance.<br />

The introduction of the trigger intensifies the ITCZ<br />

and also enhances the precipitation belt corresponding<br />

a-. AGCM Simulation of Synoptic- and Meso-scale<br />

Weather Systems<br />

Recent progress of AGCM enables us to make simulation<br />

studies of various circulation systems. However,<br />

the previous studies mainly discussed the features of<br />

circulation systems in seasonal or monthly averaged<br />

fields, without special interest in individual weather<br />

systems, such as the extratropical cyclone, polar front,<br />

polar low and Meiyu-front. AGCM studies of each<br />

weather system are needed to understand the actual climate<br />

variations. We therefore focus our attention on<br />

these weather systems simulated in the AGCM.<br />

In , we mainly analyzed the results of simulation<br />

by seasonally varying climatological SST run by<br />

TL. The result for June and July indicates quasiperiodic<br />

alternation of "Baiu phase" and "non-Baiu<br />

phase". In the "Baiu phase", the large-scale circulation<br />

systems, such as the upper cold lows and blocking<br />

ridge in the northern latitudes, and westward extending<br />

Pacific subtropical anticyclone, monsoon westerly and<br />

136

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!