The Fire Inventory from NCAR version 2.5: an updated global fire emissions model for climate and chemistry applications

Christine Wiedinmyer, Yosuke Kimura, Elena C. Mcdonald-Buller, Louisa K. Emmons, Rebecca R. Buchholz, Wenfu Tang, Keenan Seto, Maxwell B. Joseph, Kelley C. Barsanti, Annmarie G. Carlton, Robert Yokelson

Research output: Contribution to journalArticlepeer-review

Abstract

We present the Fire Inventory from National Center for Atmospheric Research (NCAR) version 2.5 (FINNv2.5), a fire emissions inventory that provides publicly available emissions of trace gases and aerosols for various applications, including use in global and regional atmospheric chemistry modeling. FINNv2.5 includes numerous updates to the FINN version 1 framework to better represent burned area, vegetation burned, and chemicals emitted. Major changes include the use of active fire detections from the Visible Infrared Imaging Radiometer Suite (VIIRS) at 375m spatial resolution, which allows smaller fires to be included in the emissions processing. The calculation of burned area has been updated such that a more rigorous approach is used to aggregate fire detections, which better accounts for larger fires and enables using multiple satellite products simultaneously for emissions estimates. Fuel characterization and emissions factors have also been updated in FINNv2.5. Daily fire emissions for many trace gases and aerosols are determined for 2002-2019 (Moderate Resolution Imaging Spectroradiometer (MODIS)-only fire detections) and 2012-2019 (MODIS+VIIRS fire detections). The non-methane organic gas emissions are allocated to the species of several commonly used chemical mechanisms. We compare FINNv2.5 emissions against other widely used fire emissions inventories. The performance of FINNv2.5 emissions as inputs to a chemical transport model is assessed with satellite observations. Uncertainties in the emissions estimates remain, particularly in Africa and South America during August-October and in southeast and equatorial Asia in March and April. Recommendations for future evaluation and use are given.

Original languageEnglish
Pages (from-to)3873-3891
Number of pages19
JournalGeoscientific Model Development
Volume16
Issue number13
DOIs
StatePublished - Jul 12 2023

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