East Asia
Main Contacts for Initiative
Fulu Tao (taofl@igsnrr.ac.cn)
Motoki Nishimori (nishimori.motoki562@naro.go.jp)
Kwang Soo Kim (luxkwang@snu.ac.kr)
Brief Description of Activity
AgMIP-East Asia team was established in 2013. The team focuses on the major regional agricultural and environment problems in AgMIP-East Asia, such as climate risks, air pollution, greenhouse gas emissions, and rice agrometeorological disasters, to conduct regional integrated assessment and develop climate smart agriculture, using various data, remote sensing, artificial intelligence, and process-based models. AgMIP-East Asia workshop is held biannually.
Latest News
AgMIP-East Asia workshop is to be held in Oct 2026 in Beijing
Objective
Collaborate to develop data, agricultural models, decision-supporting systems, and solutions, effectively support agriculture in AgMIP-East Asia to realize climate-smart agriculture.
Overview of Participants
Participants are mainly cross-disciplinary researchers from the university and scientific research institutes from China, Japan and Korea. About 100 members with backgrounds of atmosphere, agronomy, remote sensing, crop modelling, agricultural meteorology, agricultural information science, agricultural economy, etc.
Key Publications
Tao, F., et al. 2017. Effects of climate change, CO2 and O3 on wheat productivity in Eastern China, singly and in combination. Atmospheric Environment, 153, 182-193.
Kim, J., et al., 2021, Development of an orchestration aid system for gridded crop growth simulations using Kubernetes. Computers and Electronics in Agriculture. 186. 106187.
Han, J., et al. 2022. Annual paddy rice planting area and cropping intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020, Agricultural Systems, 200, 103437.
Hyun, S., et al., 2022. GLUEOS: A high performance computing system based on the orchestration of containers for the GLUE parameter calibration of a crop growth model. Computers and Electronics in Agriculture. 197. 106906.
Zhou, H., et al. 2024. Paddy rice methane emissions, controlling factors, and mitigation potentials across Monsoon Asia. Science of The Total Environment, 935, 173441.
Cao, J., et al. 2025. Mapping global yields of four major crops at 5-minute resolution from 1982 to 2015 using multi-source data and machine learning. Sci Data 12, 357.