Articles | Volume 15, issue 21
https://doi.org/10.5194/gmd-15-8085-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-8085-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
11 Nov 2022
Methods for assessment of models |
| 11 Nov 2022
| 11 Nov 2022
Introducing the VIIRS-based Fire Emission Inventory version 0 (VFEIv0)
Gonzalo A. Ferrada
CORRESPONDING AUTHOR
Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA, USA
now at: Department of Civil and Environmental Engineering,
University of Tennessee, Knoxville, TN, USA
Meng Zhou
Interdisciplinary Graduate Program in Informatics, The University of Iowa, Iowa City, IA, USA
Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA, USA
Interdisciplinary Graduate Program in Informatics, The University of Iowa, Iowa City, IA, USA
Alexei Lyapustin
Laboratory for Atmospheres, NASA Goddard Space Flight Center,
Greenbelt, MD, USA
Yujie Wang
Joint Center for Earth Systems Technology, University of Maryland
Baltimore County, Baltimore, MD, USA
Saulo R. Freitas
Center for Weather Forecast and Climatic Studies, National Institute for Space Research, São José dos Campos, SP, Brazil
Gregory R. Carmichael
Center for Global and Regional Environmental Research, The University of Iowa, Iowa City, IA, USA
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Cited
16 citations as recorded by crossref.
- Development of a high-spatial-resolution annual emission inventory of greenhouse gases from open straw burning in Northeast China from 2001 to 2020 Z. Song et al.
- Confronting the Amazon's fire crisis: Evidence of early fire occurrence and increased atmospheric gases from the GOSAT satellite L. de Souza Maria et al.
- Enhancement of Nighttime Fire Detection and Combustion Efficiency Characterization Using Suomi-NPP and NOAA-20 VIIRS Instruments M. Zhou et al.
- How Do Emission Factors Contribute to the Uncertainty in Biomass Burning Emissions in the Amazon and Cerrado? G. Mataveli et al.
- The impact of biomass burning emissions on aerosol concentrations and depositions in the northern South China Sea region J. Li et al.
- Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al.
- Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia Y. Jin et al.
- Spatio-temporal pattern evolution of carbon emissions at the city-county-town scale in Fujian Province based on DMSP/OLS and NPP/VIIRS nighttime light data Y. Zheng et al.
- Effects of smoke on marine low clouds and radiation during 2020 western United States wildfires L. Dong et al.
- Forest fire emission estimates over South Asia using Suomi-NPP VIIRS-based thermal anomalies and emission inventory K. Aditi et al.
- Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al.
- Empowering communities: Advancements in air quality monitoring and citizen engagement H. Relvas et al.
- Climate dynamics and the effect of topography on snow cover variation in the Indus-Ganges-Brahmaputra river basins A. Banerjee et al.
- Unravelling spatiotemporal heterogeneity of wildfire carbon dioxide emissions in Southeast Asia: based on a high-resolution inventory L. Xia et al.
- Advancing FRP Retrieval: Bridging Theory and Application W. Deng et al.
- Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al.
16 citations as recorded by crossref.
- Development of a high-spatial-resolution annual emission inventory of greenhouse gases from open straw burning in Northeast China from 2001 to 2020 Z. Song et al.
- Confronting the Amazon's fire crisis: Evidence of early fire occurrence and increased atmospheric gases from the GOSAT satellite L. de Souza Maria et al.
- Enhancement of Nighttime Fire Detection and Combustion Efficiency Characterization Using Suomi-NPP and NOAA-20 VIIRS Instruments M. Zhou et al.
- How Do Emission Factors Contribute to the Uncertainty in Biomass Burning Emissions in the Amazon and Cerrado? G. Mataveli et al.
- The impact of biomass burning emissions on aerosol concentrations and depositions in the northern South China Sea region J. Li et al.
- Recent Advances in Wildland Fire Smoke Dynamics Research in the United States Y. Liu et al.
- Measurement report: Assessing the impacts of emission uncertainty on aerosol optical properties and radiative forcing from biomass burning in peninsular Southeast Asia Y. Jin et al.
- Spatio-temporal pattern evolution of carbon emissions at the city-county-town scale in Fujian Province based on DMSP/OLS and NPP/VIIRS nighttime light data Y. Zheng et al.
- Effects of smoke on marine low clouds and radiation during 2020 western United States wildfires L. Dong et al.
- Forest fire emission estimates over South Asia using Suomi-NPP VIIRS-based thermal anomalies and emission inventory K. Aditi et al.
- Diagnosing uncertainties in global biomass burning emission inventories and their impact on modeled air pollutants W. Hua et al.
- Empowering communities: Advancements in air quality monitoring and citizen engagement H. Relvas et al.
- Climate dynamics and the effect of topography on snow cover variation in the Indus-Ganges-Brahmaputra river basins A. Banerjee et al.
- Unravelling spatiotemporal heterogeneity of wildfire carbon dioxide emissions in Southeast Asia: based on a high-resolution inventory L. Xia et al.
- Advancing FRP Retrieval: Bridging Theory and Application W. Deng et al.
- Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al.
Saved (final revised paper)
Latest update: 02 May 2026
Short summary
The smoke from fires is composed of different compounds that interact with the atmosphere and can create poor air-quality episodes. Here, we present a new fire inventory based on satellite observations from the Visible Infrared Imaging Radiometer Suite (VIIRS). We named this inventory the VIIRS-based Fire Emission Inventory (VFEI). Advantages of VFEI are its high resolution (~500 m) and that it provides information for many species. VFEI is publicly available and has provided data since 2012.
The smoke from fires is composed of different compounds that interact with the atmosphere and...
