Marine life distribution prediction

Develop a variety of statistical models for estimating and predicting the biological resources distributions of target species by integrating ocean environment data and observation data of fish distributions, clarify the mechanism of changes in fisheries resources, improve the model accuracy, and create information that contributes to fisheries information services.

・FORA（Four-dimensional Variational Ocean ReAnalysis for the Western North Pacific）
・FORP（Future Ocean Regional Projection dataset for coastal applications in Japan）
・FORP（Future Ocean Regional Projection dataset for the Western North Pacific）

VAi aims to contribute to the resolution of policy issues and the development of a sustainable socio-economic system by creating and disseminating information that meets various needs.

• Prediction of species distribution based on ocean physical and biological mechanism/ real-time prediction

  Create information on the current state of marine life distribution and future predictions, and provide them to fishermen and fishery information service companies for reducing fuel consumption and improving the QOL of fishermen, and provide basic information for fisheries resource management and global warming adaptation measures to local governments for fisheries, by integrating fishing observation data and simulation data of ocean environments.

NAMR is Numerical Analysis Method Repository. (Numerical analysis methods: artificial intelligence, sparse modeling, finite element method, particle method, verification method)

• MRI.COM ocean prediction model

  Daily prediction of ocean environmental fields at 2km resolution

• Detection of ocean fronts

  Front detection tool from sea surface temperature field

  

  Ocean SST (sea surface temperature) fronts (blue), estimated distribution of Skipjack tuna (gray), and actual fishing points (red) around Japan Island

• Automatic fishing point detection from AIS position data

  Tool for fishing point detection derived from AIS position data of fishing vessels

• Virtual fish farming cage

  High-performance estimation by integration of numerical model that reproduces fish farming cage and echo data of fish finder

  

  Reproduction of yellowtail distribution by virtual fish farming cage (upper) and the corresponding fish finder echo simulation (lower)

4DVE develops and maintains a system that allows users to map variety of analysis data including time fluctuations, and seamlessly combine and extract information. It is called the 4th Dimensional Virtual Earth.

• FORA（Four-dimensional Variational Ocean ReAnalysis for the Western North Pacific）

  Daily ocean environment product at 10km resolution.
  
  ・FORA（Four-dimensional Variational Ocean ReAnalysis for the Western North Pacific)
  

• FORP

  Future prediction data set of ocean environments using atmospheric data from multiple climate models of CMIP5 as an external forcing, with a 10-km grid for the North Pacific and a 2-km grid for the sea around Japan.
  
  ・FORP（Future Ocean Regional Projection dataset for coastal applications in Japan）
  ・FORP（Future Ocean Regional Projection dataset for the Western North Pacific）

  

  Changes in sea surface temperature from the present climate in the waters near Japan by FORP

• Lower trophic level model products for marine ecosystem

  A prediction data set of lower-trophic level marine ecosystems (zooplankton, etc.) by coupling online with FORA and FORP ocean models

• Estimation of marine species distribution

  Species distribution data estimated/predicted by applying ocean environment data to potential fishing ground estimation model

• Biomass estimation

  Estimated growth and amount data of target fishes by using virtual fish farming cage