[Takeshi Ise] Data Assimilation of a forest vegetation model with a particle filter and projections of vegetation dynamics under environmental changes

PRESTO Researcher

Takeshi Ise

Takeshi Ise

Field Science Education and Research Center, Kyoto University
Associate Professor

Outline

In this study a data assimilation system will be developed and validated to optimize a forest vegetation model with big data of ecological observations. This study will participate to appropriate projections of the future and sustainable usage of agricultural and forest resources under the various environmental conditions including climate change. The data assimilation system will be open to other researchers, and the technique and philosophy of data assimilation should be used for various models including cop models.

Quick Access

Quick Access

 News

arrow On-going

arrow Completed

Program

  • CREST
  • PRESTO
  • ACT-I
  • ERATO
  • ACT-C
  • ACCEL
  • ALCA
  • RISTEX
Finish programs
  • Pamphlet
  • ProjectDB
  • GlobalActivity
  • Diversity-EN
  • OS_Policy-EN
  • Question-E