Biomass burning emissions
This page describes the options for biomass burning emissions in GEOS-Chem.
Biomass burning inventories
| Inventory | Description |
|---|---|
| GFED4 | Default biomass burning emissions inventory for GEOS-Chem. |
| FINNv2.5 | Optional biomass burning emissions inventory, available in GEOS-Chem 14.7.0 and later. Will replace FINNv1.5. |
| QFED | Optional biomass burning emissions inventory for GEOS-Chem. |
| GFAS | Optional biomass burning emissions inventory for GEOS-Chem. |
FIRECAM tool
I developed the FIRECAM tool for end-users to quickly compare fire emissions estimates from five global inventories (GFEDv4s, GFASv1.2, FINNv1.5, QFEDv2.5r1, and FEERv1.0-G1.2) for a given study region. Currently, FIRECAM supports six species: CO2, CO, CH4, OC, BC, and PM2.5. FIRECAM compares the five inventories at an aggregated 0.5deg x 0.5deg spatial resolution for the 2003-2018 time period. Please see the FIRECAM website and our paper for more information. The paper describes the methodological differences among these inventories and metrics we developed to diagnose spatial biases and uncertainties. We recommend end-users to use multiple inventories in model runs, if possible. As we show in our paper, the choice of emissions inventory can significantly impact model results. If this is not feasible, please take the time to see how much emissions estimates vary in your study region using the FIRECAM tool.
--Tianjia (Tina) Liu 15:30, 21 August 2019 (EDT)
References
- Duncan, B.N., et al., Interannual and Seasonal Variability of Biomass Burning Emissions Constrained by Satellite Observations, J. Geophys. Res., 108(D2), 4040, doi:10.1029/2002JD002378, 2003. PDF
- Hyer, E., FLAMBE Biomass Burning emissions for ARCTAS, 2008. PDF
- Lobert, J. M., W. C. Keene, J. A. Logan, and R. Yevich, Global chlorine emissions from biomass burning: the reactive chlorine emissions inventory, J. Geophys. Res., 8, 2999-3014, 2008.
- Mu, M., J.T. Randerson, G.R. van der Werf, L. Giglio, P. Kasibhatla, D. Morton, G.J. Collatz, R.S. DeFries, E.J. Hyer, E.M. Prins, D.W.T. Griffith, D. Wunch, G.C. Toon, V. Sherlock, and P.O. Wennberg, Daily and 3-hourly variability in global fire emissions and consequences for atmospheric model predictions of carbon monoxide, Journal of Geophysical Research-Atmospheres, 116, D24303, doi:10.1029/2011JD016245, 2011.
- Nassar, R., J. A. Logan, I. A. Megretskaia, L. T. Murray, L. Zhang, and D. B. A. Jones, Analysis of tropical tropospheric ozone, carbon monoxide and water vapor during the 2006 El Niño using TES observations and the GEOS-Chem model, J. Geophys. Res., 114, D17304, doi:10.1029/2009JD011760, 2009. PDF
- Liu, T., L.J. Mickley, R.S. DeFries, M.E. Marlier, M.F. Khan, M.T. Latif, and A. Karambelas, Diagnosing spatial uncertainties and relative biases in global fire emissions inventories: Indonesia as regional case study, Remote Sens. Environ., 237, 111557. Article
- van der Werf, G. R., J. T. Randerson, L. Giglio, T. T. van Leeuwen, Y. Chen, B. M. Rogers, M. Mu, M. J. E. van Marle, D. C. Morton, G. J. Collatz, R. J. Yokelson, and P. S. Kasibhatla, Global fire emissions estimates during 1997–2016, Earth Sys. Sci. Data, 9, 697-720, 2017. Article
- Wiedinmyer, C., S.K. Akagi, R.J. Yokelson, L.K. Emmons, J.J. Orlando, and A.J. Soja, The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning, Geosci. Model Dev., 4, 625–641, 2011. Article
- Kaiser, J.W., A. Heil, M.O. Andreae, A. Benedetti, N. Chubarova, L. Jones, J.J. Morcrette, M. Razinger, M.G. Schultz, M. Suttie, and G.R. van der Werf, Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power, Biogeosciences, 9, 527–554, 2012. Article
- Darmenov, A.S. and A. da Silva, The Quick Fire Emissions Dataset (QFED) - Documentation of versions 2.1, 2.2, and 2.4, NASA Technical Report Series on Global Modeling and Data Assimilation, Volume 32, 2013. Article
- Ichoku, C. and L. Ellison, Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements, Atmos. Chem. Phys., 14, 6643–6667, 2014. Article