developed for terrestrial data wher

developed for terrestrial data where two-dimensional representations
are adequate. Consequently, they are limited in representing
the dynamic boundaries and three-dimensional structure of ocean
features and marine habitats (Carette et al., 2008). Assimilation of
observational data into ocean general circulation models will play
a critical role in moving towards three-dimensional representations
(Awaji et al., 2003). Our future research directions include
the development of an integrated coastal fisheries information
system (Figure 6), making use of an array of oceanographic
datasets from satellites and in situ measurements. In addition, it
is intended to further a four-dimensional, variational (4D-VAR)
data-assimilation model (Broquet et al., 2009; Ishikawa et al.,
2009) capable of generating the integrated products required by
fisheries and aquaculture using an optimal synthesis of observational
data, an ocean circulation model, and the NEMURO ecological
model (Kishi et al., 2007). The system is also expected to include
a forecasting and information dissemination component (http://
innova01.fish.hokudai.ac.jp/marinegis/).
Dissemination of information to users in real or near real time
will be an area of innovation in the next few years
(Aguilar-Manjarrez et al., 2010). The continuing miniaturization
of communication devices and the low cost of transmitting large
quantities of information make it increasingly practical to
deliver oceanographic information as value-added, custom-made
products. Web-based platforms such as Google Earth/Ocean
could be instrumental in advancing this process (Carocci et al.,
2009; Aguilar-Manjarrez et al., 2010). In fisheries science, products
such as fishing ground updates, site suitability for aquaculture
facilities, and safety information will form part of the product
package. Improved prediction and validation of oceanographic
SRS parameters (SST, chlorophyll) for specific applications will
also form a key research area (Saitoh et al., 2009, 2010). Clearly,
SRS data have made notable contributions to operational fisheries
oceanography. The wealth of information that is continuing to
accumulate from satellites is vital for research, monitoring, and
management of marine fisheries, as well as supporting the sustainability
of aquaculture systems.

Results (English) 2:

Two-dimensional developed for Terrestrial Data where representations
are adequate. Consequently, they are in Limited representing
the Dynamic Three-dimensional structure and boundaries of Ocean
features and Marine Habitats (Carette et al., 2,008th). Assimilation of
observational Data Into Ocean general circulation models Will Play
a Critical Moving towards Three-dimensional representations in role
(Awaji et al., Two thousand and three). Our Future Research Directions include
the Development of an Integrated Coastal Fisheries information
System (Figure 6), Making use of an array of Oceanographic
satellites and in situ measurements from datasets. In addition, it
is intended to further a Four-dimensional, variational (4D-VAR)
Data-assimilation Model (Broquet et al., 2009; Ishikawa et al.,
2,009) Capable of Generating the Integrated Products required by
Fisheries and Aquaculture using. Optimal synthesis of an observational
Data, an Ocean circulation Model, and the Nemuro Ecological
Model (Kishi et al., 2 007). The System is also expected to include
a forecasting and information dissemination Component (HTTP: //
Innova01.fish.hokudai.ac.jp/marinegis/).
Dissemination of information to Users in or near Real Real time
Will be in an Area of Innovation. the next few years
(Aguilar-Manjarrez et al., two thousand and ten). Continuing the miniaturization
of Communication Devices and the low cost of transmitting Large
quantities of information increasingly Make it practical to
Deliver Oceanographic information as VALUE-added, Custom-Made
Products. Web-based platforms such as Google Earth / Ocean
could be instrumental in advancing this Process (Carocci et al.,
2 009; Aguilar-Manjarrez et al., 2.01 thousand). In Fisheries Science, Products
such as Fishing Ground Updates, SUITABILITY Site for Aquaculture
facilities, and safety information form Will Part of the product
Package. Improved prediction and Validation of Oceanographic
SRS Parameters (SST, chlorophyll) for specific Applications Will
also form a Key Research Area (Saitoh et al., 2,009, in 2010). Clearly,
have SRS Data Made notable contributions to operational Fisheries
Oceanography. The wealth of information that is Continuing to
accumulate from satellites is Vital for Research, Monitoring, and
Management of Marine Fisheries, as well as supporting the Sustainability
of Aquaculture Systems.