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Marine Ecosystems Research Department - jamstec japan agency ...

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JAMSTEC 2002 Annual Report<br />

Computer and Information Service<br />

researchers both from Japan and overseas can utilize the<br />

data held by JAMSTEC more effectively and efficiently.<br />

We have been collecting information on distributed<br />

shared databases, which are being developed mainly in<br />

the U.S., and continued testing prototype systems based<br />

on DODS (Distributed Oceanographic Data System)/<br />

LAS (Live Access Server), which have only recently<br />

started to be used by oceanographic researchers.<br />

Fig. 2 MIRAI Data Web<br />

accordance with the "Guidelines on the Release of<br />

Observation Data at JAMSTEC", a data management<br />

system for regular implementing data quality control,<br />

accuracy improvement, etc. has been developing.<br />

To be concrete, the quality control of observed data<br />

and the development of quality control techniques<br />

about a variety of data types and formats have been<br />

developing, by the expert staff in areas such as physical<br />

oceanography, chemical oceanography, geophysics and<br />

database technology. In addition, the sorting and<br />

archiving of deep-sea videos and slides obtained<br />

by deep-sea submersibles and the digitization and<br />

indexing of deep-sea images are performed. Those<br />

activities are carried out in collaboration with the<br />

Global Oceanographic Data Center (GODAC), in Nago<br />

City, Okinawa Prefecture.<br />

With regard to the R/V Mirai, observed data are<br />

released through the Internet as soon as possible<br />

(Figure ). There are many accesses from research<br />

institutes, universities, enterprises, etc., both within<br />

and outside Japan.<br />

(2) Database development<br />

CID develops the databases necessary for the effective<br />

management and dissemination of observed data.<br />

Moreover, vast amounts of data are required for research<br />

into climate change and environmental issues of a global<br />

scale, and the efficient management of these data is<br />

absolutely crucial. In this light, there is a need to examine<br />

the framework for international data exchange and<br />

gather information on data exchange technologies so that<br />

(3) Advanced processing of ocean observation data<br />

JAMSTEC has been carrying out ocean observation<br />

to elucidate the mechanisms of ocean and meteorological<br />

change using the oceanographic research vessel<br />

MIRAI, ARGO floats, TRITON buoys and other<br />

observation systems, and has accumulated vast<br />

amounts of data. While these data are made available<br />

through various databases, there is a need to process<br />

the data so they have a greater reach and are even<br />

more readily accessible to users. For this, we have<br />

been studing data assimilation methods.<br />

One data assimilation method that has attracted<br />

attention over recent years is the statistics-based assimilation<br />

of observation data into numerical models. This<br />

can be used to draw up high-quality four-dimensional<br />

reanalysed datasets.<br />

In this fiscal year, we applied data assimilation<br />

based on the optimum interpolation and nudging<br />

methods to the ocean general circulation model<br />

(MOM) paralleled in JAMSTEC's supercomputer SC<br />

system, and examined advanced processing methods<br />

for ocean observation data obtained by MIRAI,<br />

ARGO floats and TRITON buoys. From this, we drew<br />

up reanalysis data covering the world's oceans in<br />

, and were able to clearly illustrate monthly<br />

variations in water temperature and salinity at various<br />

depths in the Pacific Ocean. At the same time, we<br />

were able to clarify future issues in preparing and<br />

providing high-quality four-dimensional reanalysed<br />

datasets using more advanced data assimilation<br />

methods such as the adjoint method.<br />

194

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