Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0)
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Published:2022-11-11
Issue:21
Volume:15
Page:8085-8109
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Ferrada Gonzalo A.ORCID, Zhou Meng, Wang JunORCID, Lyapustin AlexeiORCID, Wang Yujie, Freitas Saulo R.ORCID, Carmichael Gregory R.
Abstract
Abstract. A new open biomass burning inventory is presented that
relies on the fire radiative power data from the Visible Infrared Imaging
Radiometer Suite (VIIRS) on board the Suomi NPP satellite. This VIIRS-based
Fire Emission Inventory (VFEI) provides emission data from early 2012 to
2019 for more than 40 species of gases and aerosols at spatial resolutions
of around 500 m. We found that VFEI produces similar results when compared
to other major inventories in many regions of the world. Additionally, we
conducted regional simulations using VFEI with the Weather Research and
Forecasting (WRF) model with chemistry (WRF-Chem) for Southern Africa
(September 2016) and North America (July–August 2019). We compared aerosol
optical depth (AOD) from the model against two observational datasets: the
MODIS Multi-Angle Implementation of Atmospheric Correction (MAIAC) product
and AErosol RObotic NETwork (AERONET) stations. Results showed good
agreement between both simulations and the datasets, with mean AOD biases of
around +0.03 for Southern Africa and −0.01 for North America. Both
simulations were not only able to reproduce the AOD magnitudes accurately,
but also the inter-diurnal variations of smoke concentration. In addition,
we made use of the airborne data from the ObseRvations of Aerosols above
CLouds and their intEractionS (ORACLES; Southern Africa) and the Fire
Influence on Regional to Global Environments Experiment and Air Quality
(FIREX-AQ; North America) campaigns to evaluate the simulations. In Southern
Africa, results showed correlations higher than 0.77 when comparing carbon
monoxide and black carbon. In North America, correlations were lower and
biases higher. However, this is because the model was not able to reproduce
the timing, shape, and location of individual plumes over complex terrain
(Rocky Mountains) during the FIREX-AQ campaign period.
Funder
National Aeronautics and Space Administration National Oceanic and Atmospheric Administration
Publisher
Copernicus GmbH
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