Diagnosing spatial biases and uncertainties in global fire emissions inventories: Indonesia as regional case study
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...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Elsevier Science Inc
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/36925/ |
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