Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study

• Main Authors: Liu, Tianjia, Mickley, Loretta J., Marlier, Miriam E., DeFries, Ruth S., Khan, Md Firoz, Latif, Mohd Talib, Karambelas, Alexandra
• Format: Article
• Published: Elsevier Science Inc 2020
• Subjects: GE Environmental Sciences
• Online Access: http://eprints.um.edu.my/36925/
• Institution: Universiti Malaya

Models of atmospheric composition rely on fire emissions inventories to reconstruct and project impacts of biomass burning on air quality, public health, climate, ecosystem dynamics, and land-atmosphere exchanges. Many such global inventories use satellite measurements of active fires and/or burned...