Marine Ecosystems Research Department - jamstec japan agency ...

Japan Marine Science and Technology Center
Frontier Research System for Global Change
Asian-Australian monsoon; the effect of air-sea interactions
in the warm-pool region on the Asian summer
monsoon; and the influence of the Asian-Australian
and the South American monsoons on SST in the tropical
Pacific. Other projects studied the development of
tropical cyclones by analyzing satellite data and -D
high-resolution atmospheric model simulations; spatial
and temporal structures of the tropospheric biennial
oscillation; mechanisms underlying the northward
propagation of the boreal summer intra-seasonal oscillation;
relationships between ENSO and the Indian
Ocean Dipole by analyzing observations and solutions
to numerical modeling studies; and a realistic simulation
of the East Asian summer monsoon with the
IPRC Regional Climate Model, which was also used to
simulate and understand the atmospheric circulation
and climate in the eastern tropical Pacific. Intra-seasonal,
annual, and interannual events in the Asian-
Australian Monsoon region were simulated with the
latest version of the ECHAM atmospheric model.
Theme- researchers also worked on the development
of a suite of hierarchical coupled models, which
is becoming a powerful and indispensable tool for
understanding monsoon variability and the complex
atmosphere-ocean-land interactions of the Asian-
Australian Monsoon System. The suite includes a fully
coupled GCM, a hybrid coupled model, an intermediate
coupled atmospheric model, and the IPRC Regional
Climate Model.
d. Theme : Impacts of Global Environmental Change
Accomplishments in Theme include the following
studies: the response of a troposphere-stratospheremesosphere
GCM to dynamical perturbations imposed
in the stratosphere, allowing an unambiguous demonstration
of a dynamical downward coupling of the
large-scale stratospheric circulation to the surface climate;
global climate sensitivity and feedbacks in coupled
ocean-atmosphere GCM simulations (Figure a
and b); and the analysis of output from very highresolution
global atmospheric models.
e. The Asia-Pacific Data-Research Center (APDRC)
A goal of the APDRC is to make the large and diverse
climate data sets and products manageable and easy to
access. To serve massive model-derived products from
supercomputers such as the Earth Simulator, the APDRC
has been increasing its storage capacity this year, as well
as developing the "sister server" concept, whereby
servers at other institutions store parts of the data sets,
but users will be able to access the diverse data sets
seamlessly at the APDRC site. The transfer of the IPRC
server systems (LAS, EPIC, and CAS) to Japanese
servers has therefore been a major effort this year.
Offerings on the APDRC servers have been expanded
and provide access to WOCE CTD stations, Upper
Ocean Thermal profiles, and current-meter records as
well as Argo profiles from the Global Data Assembly
Centers at US GODAE and IFREMER, France. The
EPIC server has been configured to allow easy sampling
of information by region, time, and float, and
creates graphic representations of the sampled data
(Figure a).
Plans have been made for participation in evaluating
and serving the GODAE products, which, with the help
of ocean data-assimilation models, will provide frequently
and at high spatial resolution, real-time and
forecast of temperature, salinity, sea level, and currents.
The APDRC is already serving the assimilationbased
products from JPL–ECCO, NOAA–GFDL, and
the Naval Research Laboratory (NRL) Layered Ocean
Model (NLOM) products (Figure b).
Finally, the APDRC has been assisting the
Integrated Modeling Research Program (under
Toshiyuki Awaji) in establishing an international data
network for its Earth Simulator data reanalysis from
the s by conducting data analyses and providing
quality control and value-added information. For the
Integrated Modeling Research Program and the Earth
Simulator Center collaboration, the APDRC's data
serving capacity based on the LAS, CAS, and GDS
infrastructure should become invaluable for serving the
large model output.
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