Abstract
Wildfire smoke properties depend mainly on the severity and type of fire (i.e. smoldering, flaming combustion) and on the local meteorological conditions. The intensity of the fire is characterized by the observed Fire Radiative Power (FRP) and this measurement is also used for the calculation of smoke emissions and initial plume rise. Geostationary (MSG-SEVIRI) and orbital instruments (MODIS, MISR) allow the early and accurate recognition of biomass burning episodes providing also information on the specific characteristics of the fire and smoke properties. Analysis of specific smoke dispersion episodes over Greece are performed with the FIREHUB platform incorporating both satellite and modeling techniques. FIREHUB has been developed at the National Observatory of Athens and combines satellite recognition of the initial hot-spots with high resolution Eulerian and Lagrangian atmospheric tools (FLEXPART-WRF) for the description of smoke dispersion. Comparison of smoke dispersion simulations with satellite data (MISR, MODIS) for the fire events of Peloponnese 2007, Evros 2011 and Agion Oros 2012 shows the ability of the system to reproduce complex dispersion patterns and indicates the increased possibility of long range transport of smoke due to the abrupt changes between marine and land PBL.
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References
Andreae MO (1993) The influence of tropical biomass burning on climate and the atmospheric environment. In: Oremland RS (ed) Biogeochemistry of global change: radiatively active trace gases. Chapman and Hall, New York, pp 113–150
Brioude J, Arnold D, Stohl A, Cassiani M, Morton D, Seibert P, Angevine W, Evan S, Dingwell A, Fast JD, Easter RC, Pisso I, Burkhart J, Wotawa G (2013) The lagrangian particle dispersion model FLEXPART-WRF version 3.1. Geosci Model Dev 6:1889–1904, doi:10.5194/gmd-6-1889-2013
Ichoku C, Ellison L (2014) Global top-down smoke-aerosol emissions estimation using satellite fire radiative power measurements. Atmos Chem Phys 14:6643–6667. doi:10.5194/acp-14-6643-2014
Kaiser JW, Heil A, Andreae MO, Benedetti A, Chubarova N, Jones L, Morcrette J-J, Razinger M, Schultz MG, Suttie M, van der Werf GR (2012) Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power. Biogeosciences 9:527–554. doi:10.5194/bg-9-527-2012
Keramitsoglou I, Kiranoudis CT, Sifakis N (2004) A multidisciplinary decision support system for forest fire crisis management. Environ Manage 33:212–225
Kontoes C, Papoutsis I, Herekakis T, Sifakis N (2013) Wildfire rapid detection and mapping and post-fire damage assessment in Greece. Earthzine Mag
Liu Y, Kahn RA, Chaloulakou A, Koutrakis P (2009) Analysis of the impact of the forest fires in August 2007 on air quality of Athens using multi-sensor aerosol remote sensing data, meteorology and surface observations. Atm Environ. doi:10.1016/j.atmosenv.2009.04.010
Reid JS, Hyer EJ, Prins EM, Westphal DL, Zhang J, Wang J, Christopher SA, Curtis CA, Schmidt CC, Eleuterio DP, Richardson KA, Hoffman JP (2009) Global monitoring and forecasting of biomass burning smoke: description of and lessons from the fire locating and modeling of burning emissions (FLAMBE) program. IEEE J Appl Opt Appl Earth Obs Remote Sens 2(3):144–162
Sifakis NI, Iossifidis C, Kontoes C, Keramitsoglou I (2011) Wildfire detection and tracking over Greece using MSG-SEVIRI satellite data. Remote Sens 3:524, e538
Skamarock WC, Klemp JB, Dudhia J, Gill DO, Barker DM, Duda MG, Huang XY, Wang W, Powers JG (2008) A description of the Advanced Research WRF version 3. NCAR Tech Note 475, http://www.mmm.ucar.edu/wrf/users/docs/arw_v3.pdf
Sofiev M, Vankevich R, Lotjonen M, Prank M, Petukhov V, Ermakova T, Koskinen J, Kukkonen J (2009) 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 9:6833–6847
Solomos S, Amiridis V, Zanis P, Gerasopoulos E, Sofiou FI, Herekakis T, Brioude J, Stohl A, Kahn RA, Kontoes C (2015) Smoke dispersion modeling over complex terrain using high resolution meteorological data and satellite observations—The FireHub platform, Atmos Environ 119:348–361. doi:10.1016/j.atmosenv.2015.08.066
Acknowledgments
The publication was supported by the European Union Seventh Framework Programme (FP7-REGPOT-2012-2013-1), in the framework of the project BEYOND, under Grant Agreement No. 316,210 (BEYOND—Building Capacity for a Centre of Excellence for EO-based monitoring of Natural Disasters, http://ocean.space.noa.gr/BEYONDsite).
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Kontoes, C., Solomos, S., Amiridis, V., Herekakis, T. (2017). Synergistic Satellite and Modeling Methods for the Description of Biomass Smoke Dispersion Over Complex Terrain. The FireHub Platform. In: Karacostas, T., Bais, A., Nastos, P. (eds) Perspectives on Atmospheric Sciences. Springer Atmospheric Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-35095-0_116
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DOI: https://doi.org/10.1007/978-3-319-35095-0_116
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