Uncertainties of wild-land fires emission in AQMEII phase 2 case study

Atmospheric Environment

Volumn 115, Issue , 2015, Pages 361-370

  Soares, J ^a   Sofiev, M ^a   Hakkarainen, J ^a  

^a FINNISH METEOROLOGICAL INSTITUTE   (Finland)

Author keywords

Fire emission uncertainty; Fire modelling; Fire radiative power; IS4FIRES

Indexed keywords

INVERSE PROBLEMS; UNCERTAINTY ANALYSIS;

EMISSION CALCULATION; FIRE EMISSIONS; FIRE MODELLING; FIRE RADIATIVE POWER; IMPERFECT INFORMATION; INVERSE PROBLEM SOLUTION; IS4FIRES; PARTICULATE MATTER;

FIRES;

AQUA (SATELLITE); ATMOSPHERIC POLLUTION; CALIBRATION; EMISSION; MODIS; NUMERICAL MODEL; PARTICULATE MATTER; TERRA (SATELLITE); UNCERTAINTY ANALYSIS; WILDFIRE;

ARTICLE; BIOMASS; BOUNDARY LAYER; CASE STUDY; CIRCADIAN RHYTHM; COMBUSTION; ENERGY; EXHAUST GAS; FIRE; HEIGHT; HIGH TEMPERATURE; LAND USE; PARTICULATE MATTER; PLUME; PRIORITY JOURNAL; REMOTE SENSING; SMOKE; SUMMER; UNCERTAINTY; VEGETATION; WILD LAND FIRE;

EURASIA;

EID: 84938075893     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2015.01.068     Document Type: Article

References (56)

1. Akagi S.K., Yokelson R.J., Wiedinmyer C., Alvarado M.J., Reid J.S., Karl T., Wennberg P.O. Emission factors for open and domestic biomass burning for use in atmospheric models. Atmos. Chem. Phys. 2011, 11(9):4039-4072. 10.5194/acp-11-4039-2011.
2. Akagi S.K., et al. Emission factors for open and domestic biomass burning for use in atmospheric models. Atmos. Chem. Phys. 2011, 11(9):4039-4072. Available at:, (accessed 24.05.14.). http://www.atmos-chem-phys.net/11/4039/2011/.
3. Andreae M.O., Merlet P. Emission of trace gases and aerosols from biomass burning. Global Biogeochem. Cycles 2001, 15(4):955-966.
4. Arino O., Plummer S. The Along-track Scanning Radiometer World Fire Atlas Detection of Night-time Fire Activity 2001, Validation report, IGBP-DIS Working Pap. 23, Stockholm.
5. Beck J.A., Alexander M.E., Harvey S.D., Beaver A.K. Forecasting diurnal variation in fire intensity for use in wildland fire management applications. Proc. of Forth Symposium on Fire and Forest Meteorology. Am. Met. Soc. 2001, http://ams.confex.com/ams/4FIRE/techprogram/meeting4FIRE.htm.
6. Beck J.A., Trevitt A.C.F. Forecasting diurnal variations in meteorological parameters for predicting fire behaviour. Can. J. For. Res. 1989, 19:791-797.
7. Boles S.H., Verbyla D.B. Comparison of three AVHRR-based fire detection algorithms for interior Alaska. Remote Sens. Environ. 2000, 72:1-16.
8. Campbell J., Donato D., Azuma D., Law B. Pyrogenic carbon emission from a large wildfire in Oregon, United States. J. Geophys. Res. 2007, 112:G04014. 10.1029/2007JG000451.
9. Chin M., et al. Tropospheric aerosol optical thickness from the GOCART model and comparison with satellite and sun photometer measurements. J. Atmos. Sci. 2002, 59:461-483.
10. 3Cl, and COS. Nature 1979, 282:253-256.
11. Dee D.P., et al. The ERA-interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 2011, 137(656):553-597.
12. Eagan R.C., Hobbs P.V., Radke L.F. Measurements of cloud condensation nuclei and cloud droplet size distributions in the vicinity of forest fires. J. Appl. Meteorol. 1974, 13:553-557.
13. Elvidge C., et al. VIIRS nightfire: satellite pyrometry at night. Remote Sens. 2013, 5(9):4423-4449. Available at:, (accessed 30.05.14.). http://www.mdpi.com/2072-4292/5/9/4423/.
14. Flemming J. Emissions for GEMS (Biomass Burning), HALO Discussion Paper 2005, Available at:. http://www.ecmwf.int/research/EU_projects/HALO/pdf/paper_HALO_GEMS_emissions.pdf.
15. French N.H.F., et al. Model comparisons for estimating carbon emissions from North American wildlandfire. J. Geophys. Res. 2011, 116:G00K05. 10.1029/2010JG001469.
16. French N., Goovaerts P., Kasischke E. Uncertainty in estimating carbon emissions from boreal forest fires. J. Geophys. Res. 2004, 109:D14S08. 10.1029/2003JD003635.
17. Freeborn P.H., et al. Relationships between energy release, fuel mass loss, and trace gas and aerosol emissions during laboratory biomass fires. J. Geophys. Res. 2008, 113(D1):1-17. Available at:, (accessed 11.08.11.). http://www.agu.org/pubs/crossref/2008/2007JD008679.shtml.
18. Giglio L., Csiszar I., Justice C.O. Global distribution and seasonality of active fires as observed with the Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. J. Geophys. Res. 2006, 111(G2):G02016. Available at:, (accessed 30.05.14.). http://doi.wiley.com/10.1029/2005JG000142.
19. Granier C., Bessagnet B., Bond T., D'Angiola A., van der Gon H.D., Frost G.J., Heil A., Kaiser J.W., Kinne S., Klimont Z., Kloster S., Lamarque J., Liousse C., Masui T., Meleux F., Mieville A., Ohara T., Raut J., Riahi K., Schultz M.G., Smith S.J., Thompson A., van Aardenne J., van der Werf G.R., van Vuuren D.P. Evolution of anthropogenic and biomass burning emissions of air pollutants at global and regional scales during the 1980-2010 period. Climate Change 2011, 109(1-2):163-190.
20. Ichoku C., Kaufman Y.J. A method to derive smoke emission rates from MODIS fire radiative energy measurements. IEEE Trans. Geosci. Remote Sens. 2005, 43(11):2636-2649. Available at:. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1522624.
21. Justice C., Giglio L., Korontzi S., Owens J., Morisette J., Roy D., Descloitres J., Alleaume S., Petitcolin F., Kaufman Y. The MODIS fire products. Remote. Sens. Environ. 2002, 83:244-262.
22. Kaiser J.W., et al. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences 2012, 9(1):527-554.
23. Kaiser J.W., et al. Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences 2012, 9(1):527-554. Available at:, (accessed 16.11.12.). http://www.biogeosciences.net/9/527/2012/.
24. Kaiser J.W., Wooster M.J., Roberts G., Schultz M.G., Van Der Werf G., Benedetti A. SEVIRI fire radiative power and the MACC atmospheric services. EUMETSAT Meteorological Satellite Conf. 2009, 2005-2009. EUMETSAT, Darmstadt, Germany, ISBN 978-92-9110-086-6, ISSN 1011-3932.
25. Kasischke E.S., Hewson J.H., Stocks B., van der Werf G., Randerson J. The use of ATSR active fire counts for estimating relative patterns of biomass burning - a study from the boreal forest region. J. Geophys. Res. 2003, 30(18):1969,. 10.1029/2003GL017859.
26. Kaufman Y., Tanre D., Boucher O. A satellite view of aerosols in the climate system. Nature 2002, 419:215-223. 10.1038/nature01091.
27. Kaufman Y.J., et al. Potential global fire monitoring from EOS-MODIS. J. Geophys. Res. Atmos. 1998, 103(D24):32215-32238.
28. Kaufman Y.J., et al. Potential global fire monitoring from EOS-MODIS. J. Geophys. Res. 1998, 103(D24):32215-32238. Available at:. http://www.cstars.ucdavis.edu/papers/html/kaufmanetal1998a/index.html.
29. Kouznetsov R., Sofiev M. A methodology for evaluation of vertical dispersion and dry deposition of atmospheric aerosols. J. Geophys. Res. 2012, 117:D01202.
30. Loveland T.R., Reed B.C., Brown J.F., Ohlen D.O., Zhu J., Yang L., Merchant J.W. Development of a global land cover characteristics database and IGBP DISCover from 1-km AVHRR data. Int. J. Remote Sens. 2000, 21(6/7):1,303-1,330.
31. Lauk C., Erb K. Biomass consumed in anthropogenic vegetation fires: global patterns and processes. Ecol. Econ. 2009, 69(2):328-334.
32. Miranda A., Ferreira J., Valente J., Santos P., Amorim J.H., Borrego C. Smoke measurements during Gestosa-2002 experimental field fires. Int. J. Wildland Fire 2005, 14:107-116. 10.1071/WF04069.
33. Prank M. Evaluation of Atmospheric Composition Simulations via Comparison with Remote-sensing and In-situ Observations 2008, University of Tyartu.
34. Remer L.a, et al. Global aerosol climatology from the MODIS satellite sensors. J. Geophys. Res. 2008, 113(D14):D14S07. Available at:, (accessed 13.11.14.). http://doi.wiley.com/10.1029/2007JD009661.
35. Remer L.A., et al. The MODIS aerosol algorithm, products, and validation. J. Atmos. Sci. 2005, 62:947-973.
36. Roberts G.J., Wooster M.J. Fire detection and fire characterization over Africa using Meteosat SEVIRI. IEEE Trans. Geosci. Remote Sens. 2008, 46:1200-1218. 10.1109/TGRS.2008.915751.
37. Saarikoski S., et al. Chemical composition of aerosols during a major biomass burning episode over northern Europe in spring 2006: experimental and modelling assessments. Atmos. Environ. 2007, 41(17):3577-3589.
38. Scholes M., Andreae M.O. Biogenic and pyrogenic emissions from Africa and their impact on the global atmosphere. Ambio 2000, 29:23-29.
39. Schroeder W., et al. Validation of GOES and MODIS active fire detection products using ASTER and ETM+ data. Remote Sens. Environ. 2008, 112:2711-2726.
40. Schultz M.G., et al. FREEVAL Final Report 2008.
41. Schultz M.G., et al. Global emissions from wildland fires from 1960 to 2000. Global Biogeochem. Cycles 2008, 22:GB2002.
42. Seiler W., Crutzen P.J. Estimates of gross and net fluxes of carbon between the biosphere and the atmosphere from biomass burning. Clim. Change 1980, 2:207-247.
43. Sofiev M., Soares J., Prank M., de Leeuw G., Kukkonen J. A regional-to-global model of emission and transport of sea salt particles in the atmosphere. J. Geophys. Res. 2011, 116:D21302. 10.1029/2010JD014713.
44. Sofiev M., et al. A dispersion modelling system SILAM and its evaluation against ETEX data. Atmos. Environ. 2006, 40(4):674-685.
45. Sofiev M. A model for the evaluation of long-term airborne pollution transport at regional and continental scales. Atmos. Environ. 2000, 34(15):2481-2493.
46. Sofiev M., et al. An operational system for the assimilation of the satellite information on wild-land fires for the needs of air quality modelling and forecasting. Atmos. Chem. Phys. 2009, 9(18):6833-6847.
47. Sofiev M., et al. Diagnosing the surface layer parameters for dispersion models within the meteorological-to-dispersion modeling Interface. J. Appl. Meteorol. Climatol. 2010, 49(2):221-233.
48. Sofiev M., et al. Global mapping of maximum emission heights and resulting vertical profiles of wildfire emissions. Atmos. Chem. Phys. 2013, 13(14):7039-7052. Available at:, (accessed 05.05.14.). http://www.atmos-chem-phys.net/13/7039/2013/.
49. Sofiev M., Ermakova T., Vankevich R. Evaluation of the smoke-injection height from wild-land fires using remote-sensing data. Atmos. Chem. Phys. 2012, 12(4):1995-2006.
50. Sofiev M., Galperin M.V., Genikhovich E. Construction and evaluation of Eulerian dynamic core for the air quality and emergency modeling system SILAM. Air Pollution Modelling and its Application, XIX 2008, 699-701. Springer-Verlag, Berlin. C. Borrego, A.I. Miranda (Eds.).
51. Turetsky M., et al. Recent acceleration of biomass burning and carbon losses in Alaskan forests and peatlands. Nature Geosci. 2011, 10.1038/NGEO1027.
52. Van der Werf G.R., et al. Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997-2009). Atmos. Chem. Phys. 2010, 10(23):11707-11735. Available at:, (accessed 16.10.12.). http://www.atmos-chem-phys.net/10/11707/2010/.
53. Van der Werf G.R., et al. Interannual variability in global biomass burning emissions from 1997 to 2004. Atmos. Chem. Phys. 2006, 6:3423-3441.
54. Wooster M.J., et al. Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release. J. Geophys. Res. 2005, 110:D24311.
55. Wooster M.J., Zhukov B., Oertel D. Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products. Remote Sens. Environ. 2003, 86:83-107.
56. Zuhkov B., Lorenz E., Oertel D., Wooster M., Roberts G. Spaceborne detection and characterization of fires during the bi-spectral infrared detection (BIRD) experimental small satellite mission (2001-2004). Remote Sens. Environ. 2006, 100:29-51.