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Marine Ecosystems Research Department - jamstec japan agency ...

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JAMSTEC 2002 Annual Report<br />

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

our understanding of the effects of solar radiation on<br />

the terrestrial carbon cycle, and provides a critical foundation<br />

for satellite-based monitoring of PAR and modeling<br />

of the global carbon cycle.<br />

d. <strong>Marine</strong> Biological Process Model Group<br />

We have evaluated the effects of global climatic and<br />

environmental changes on biological process such as<br />

productivity in the ocean. We also have examined that<br />

possible feedback to the global environments through<br />

changes in the ocean carbon cycles resulted from the<br />

ecosystem changes. Especially, we aim at discovering<br />

the functional relationship of the lower trophic level<br />

ecosystem change in the North Pacific to the recent<br />

global climate variation.<br />

During FY , we observed signals of alteration of<br />

physical, chemical, and biological environments of the<br />

water column in one of the world's most productive<br />

regions, the Oyashio Water in the western subarctic<br />

North Pacific from s to s. We found increased<br />

a) conventional view<br />

wind stress<br />

solar radiation<br />

month Jan. Feb. Mar. Apr. May. Jun. Jul.<br />

fresh water inflow<br />

Phytoplankton bloom<br />

50m<br />

100m<br />

150m<br />

b) novel view<br />

wind stress<br />

solar radiation<br />

month Jan. Feb. Mar. Apr. May. Jun. Jul.<br />

fresh water inflow<br />

50m<br />

100m<br />

150m<br />

Critical Depth<br />

Mixed Layer Depth<br />

Critical Depth<br />

Mixed Layer Depth<br />

Nutrient concentration<br />

Fig.17 Physical/chemical/biological processes from winter to<br />

spring in the Oyashio Water: comparison of the conventional<br />

view a) and novel view b).<br />

density gradient between surface and subsurface waters<br />

that curbed the vertical mixing of seawater during this<br />

period. Consequently, not enough nutrients from the<br />

deeper ocean were supplied to diatoms. The biomass of<br />

spring zooplankton, as an indicator of the secondary production,<br />

was also decreased (Figure ). On the other<br />

hand, looking only at wintertime, production of diatoms<br />

was enhanced due to a stable, shallow mixed layer with<br />

sufficient nutrients, which may be the result of an<br />

increased wintertime food availability to Neocalanu spp<br />

and that caused earlier maturity of these species.<br />

6. Integrated Modeling <strong>Research</strong> Program<br />

The mission of the Program is to develop "new" climate<br />

models, global environmental models and ocean<br />

data assimilation systems to be run on the world's fastest<br />

"Earth Simulator" which was completed in March .<br />

The following are the current targets of development :<br />

(i) Spectral atmosphere model with a horizontal resolution<br />

T and layers in the vertical, world ocean<br />

model with . horizontal resolution and layers in<br />

the vertical, and a coupled A-O GCM consisting of<br />

the two. An objective is to carry out long-term global<br />

warming experiments for oceans that contain eddies.<br />

(ii) Atmosphere model with a horizontal mesh size of <br />

km or less by which tropical cloud clusters and<br />

other meso-scale atmospheric systems can be represented<br />

explicitly. Similarly, eddy resolving world<br />

ocean models are being developed as the coordinate<br />

system to cover the globe cubic-grid and incosahedral-grid<br />

(quasi-uniform grids) are adopted.<br />

(iii) Development of models to include new elements<br />

such as aerosols' effects on clouds, or the global carbon<br />

cycle, on the basis of currently existing climate<br />

models cooperating with other research programs.<br />

(iv) In addition to the above described model development,<br />

ocean data assimilation systems are also being<br />

developed in this program. Four-dimensional variational<br />

data assimilation systems, which incorporate<br />

satellite and in-situ observational data into numerical<br />

models, are the target of development. These can<br />

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