Modeling the Global Emissions From Vegetation Fire for the Scenario Data of Integrated Assessment Model

Biomass burning is one of the important source of anthropogenic emissions of trace gases and aerosols. Recent developments of global fire emission inventories based on various satellite observations have improved the quality and seasonality of its emissions, however, the division of the causes into natural fires and anthropogenic fires usually cannot be determined easily by the remote sensing measurements. In this study, we evaluated emissions based on possible anthropogenic vegetation fires by comparing the emissions of simulated results of vegetation fire using a biogeochemical process model (VISIT: Vegetation Integrative SImulation Tool), the Global Fire Emissions Dataset (GFED), and the historical land use change dataset for years around 2000, to get relevant estimates of the anthropogenic emissions supplemented for the Integrated Assessment Models for the global climate change. Estimating long term trends in fire emissions was conducted using historical climate data of CRU TS 2.1 and the climate projections by a coupled atmosphere-ocean general circulation model (AOGCM).