ORAL - International Conference of Agricultural Engineering

climate model output (CMIP5 or CMIP3) and to create a scenario by the down-scale agroclimaticstatistical data.3.2. Impact of Land-Use/Land-Cover (LULC) Changes on the Asian Monsoon Climate(Tokyo Metropolitan University)In the Asian monsoon region, there is the Asia-specific surface state such as paddy. Theland surface state is affected by climate change and controlled artificially at the same time. Inthe monsoon climate system formed by the thermal contrast of land and sea, the impact ofland surface state appears larger. By comparing the output of multiple climate models thatare generated on the DIAS and using the data of more ground surface that are created in thisproject including agricultural information, we will make clear the importance of land surfaceatmosphere interaction Including the effects of anthropogenic Asian monsoon In addition, forstudents of Asia, Myanmar, Vietnam and Bangladesh, we will provide education for appliedresearch using the next generation of climate change research and climate information.3.3. Climatic Changes and Evaluation of Their Effects on Agriculture Based on a FieldSurvey (Agriculture and Food Research Institute of Advanced Industrial Science andTechnology / University of Tokyo)As a target crops (rice, cassava, etc.) which farmers grow actually in Thailand or Indonesia,we will build a simulation system that can grow in various conditions different Cultivar,weather, cultivation management. This system will have the flexibility that can replace thecrops and crop model depending on the type and observation interval of observation dataavailable. By giving the effects of climate change in this system, we will assess the impact ofclimate change to target crops. The researchers and agricultural extension will be able tobrowse the simulation results from anywhere using the Web application.3.4. Development of Information Platform to Design Adaptation and Mitigation Strategies ofMajor Crops against the Predicted Climatic Changes (National Institute for Agro-Environmental Sciences)In the Asian monsoon region, rice is a main crop because available water is enough. Thisregion is also a zone of greenhouse gases such as methane in the agricultural sector. Inorder to ease the progress of global warming, we need to reduce the amount of greenhousegas emissions. The occurrence of high temperature damage to the major crops such as riceis also concerned by the progress of global warming. In order to construct future sustainablefood production systems in the Asian monsoon region, it is necessary to consider the tradeoffinitiatives of mitigation and adaptation technology to global warming. In this sub-theme,we will implement the development of information infrastructure and integration related toagriculture meteorology, soil, land use, land management which are necessary to formulatemitigation measures and adaptation to global warming of major food crops to climate change.With respect to agriculture meteorological data, soil temperature and soil moisture areimportant in order to understand climate scenarios and potential reduction of greenhousegases from crop production and agricultural land. We will verify the accuracy of soiltemperature and soil moisture estimated in the model by comparing the observed data.4. Effect expected in this projectIf we prepare the information infrastructure of agricultural meteorological data, we will be ableto provide the basic environmental information available to the various decision-making.When a detailed prediction of the effects to crops based on reliable future climate changeprediction is presented, technicians and administrative personnel in each country will be ableto get the information infrastructure which is necessary for mitigation measures and theformulation of adaptation to climate change. In addition, our project can be expected to trainyoung researchers who will lead the study of global warming mitigation measures andadaptation research and climate change in developing countries in the Asian monsoonregion.