RIKEN - Data Assimilation Research Team

Data Assimilation Seminar Series

Affiliation	University of Hyogo, RIKEN-AICS
Title	Data assimilation experiments of the dynamic global vegetation model SEIB-DGVM with simulated GPP observations
Abstract	Data assimilation experiments of the SEIB-DGVM (Spatially -Explicit-Individual-Base Dynamic-Global-Vegetation-Model) are performed. Simulated GPP (Gross Primary Production) is used for the observations. The SIS (Sequential Importance Sampling) filter, a version of Particle Filter, is used for the assimilation. The dependence of the number of particles and the frequency of observations to the results are discussed.
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