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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 />

Fig.33 Relationship of functional components of our program.<br />

In the following, we make a brief summary of our<br />

results in the first year of the research period ( years)<br />

with an emphasis on Theme for which the Frontier<br />

<strong>Research</strong> System for Global Change (FRSGC) is mainly<br />

responsible.<br />

The main research activity regarding Theme during<br />

FY, whose principal investigator (PI) is Dr.<br />

Mitsudera at the International Pacific <strong>Research</strong> Center<br />

(IPRC) of University of Hawaii, was directed to the<br />

acquisition and quality check of observational and<br />

reanalysis datasets for atmosphere, ocean, and land surfaces<br />

through the international data network. As a result,<br />

many important datasets (Table ) have been archived.<br />

A close examination shows that the BUFR dataset<br />

obtained from NCEP/NCAR is the most suitable input<br />

data for our D-VAR coupled DA experiment and that<br />

the ERA- of ECMWF is better for the assessment of<br />

our experimental results. In addition, a very high resolution<br />

SST dataset (km cloud-free and global) has been<br />

constructed as well as mean sea surface fluxes in the<br />

Pacific by colleagues of some universities.<br />

A high-resolution coupled GCM in Theme was<br />

improved markedly in both computational speed and<br />

climate dynamics on ES by the joint group of ES<br />

Center and FRSGC (PI is Dr. Kurihara of FRSGC).<br />

This improved coupled GCM was used as the forward<br />

model of our D-VAR DA system in Theme . The DA<br />

group of FRSGC has completed the oceanic component<br />

of our D-VAR coupled DA system and applied it to the<br />

state estimation of global ocean circulation. As for the<br />

atmospheric component, the DA system using a dry<br />

model version has been constructed and applied to a sensitivity<br />

experiment. We summarize these results below.<br />

Using a sophisticated ocean GCM (MOM) and the<br />

D variational adjoint method, we have succeeded in<br />

obtaining a dynamically-self consistent reanalysis data<br />

for climatological seasonality of the global ocean, with<br />

finer resolution than the existing systems. A synthesis<br />

of available observational records and the model provided<br />

realistic features of ocean circulations with no<br />

artificial sources/sinks for temperature and salinity<br />

fields, in contrast to the nudging approach often used.<br />

Thus, this new dataset enables us to qualify the water<br />

mass formation and movement as well as the surface<br />

conditions. For example, we made a water mass analysis<br />

of the North Pacific Intermediate Water (NPIW)<br />

that characterizes the subsurface region in the North<br />

Pacific. The sensitivity experiment using the backward<br />

adjoint code revealed that the origin of the NPIW can<br />

be traced back to the Sea of Okhotsk and to the Bering<br />

Sea in the subarctic region and to the subtropical<br />

Kuroshio region further south (Figure ). This is in<br />

155

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