Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia

Regional-scale data assimilation with the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM) over Siberia

Abstract This study examined the regional performance of a data assimilation (DA) system that couples the particle filter and the Spatially Explicit Individual-based Dynamic Global Vegetation Model (SEIB-DGVM). This DA system optimizes model parameters of defoliation and photosynthetic rate, which a...

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Bibliographic Details
Main Authors: Hazuki Arakida, Shunji Kotsuki, Shigenori Otsuka, Yohei Sawada, Takemasa Miyoshi
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Progress in Earth and Planetary Science
Subjects:
Data assimilation
Particle filter
Individual-based DGVM
Overstory LAI
Phenology
Siberia
Online Access:https://doi.org/10.1186/s40645-021-00443-6

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