Marine Ecosystems Research Department - jamstec japan agency ...
Marine Ecosystems Research Department - jamstec japan agency ...
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many important datasets (Table ) have been archived.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 />
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