References

NHESS

Natural Hazards and Earth System Sciences

NHESS

Nat. Hazards Earth Syst. Sci.

1684-9981

Copernicus Publications

Göttingen, Germany

10.5194/nhess-14-509-2014

Evaluation of wildland fire smoke plume dynamics and aerosol load using UV scanning lidar and fire–atmosphere modelling during the Mediterranean Letia 2010 experiment

Leroy-Cancellieri

¹ Augustin

² ⁴ Filippi

J. B.

https://orcid.org/0000-0002-6244-0648

¹ Mari

³ Fourmentin

² ⁴ Bosseur

¹ Morandini

¹ Delbarre

² ⁴

Laboratoire Sciences Pour l'Environnement, CNRS-Université de Corse, Corte, France

ULCO, LPCA, 59140 Dunkerque, France

Laboratoire d'Aérologie, CNRS-Université Paul Sabatier, Toulouse, France

Université Lille Nord de France, 59000 Lille, France

04 03 2014

14 3 509 523

2014

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/

This article is available from https://nhess.copernicus.org/articles/14/509/2014/nhess-14-509-2014.html

The full text article is available as a PDF file from https://nhess.copernicus.org/articles/14/509/2014/nhess-14-509-2014.pdf

Vegetation fires emit large amount of gases and aerosols which are detrimental to human health. Smoke exposure near and downwind of fires depends on the fire propagation, the atmospheric circulations and the burnt vegetation. A better knowledge of the interaction between wildfire and atmosphere is a primary requirement to investigate fire smoke and particle transport. The purpose of this paper is to highlight the usefulness of an UV scanning lidar to characterise the fire smoke plume and consequently validate fire–atmosphere model simulations. An instrumented burn was conducted in a Mediterranean area typical of ones frequently subject to wildfire with low dense shrubs. Using lidar measurements positioned near the experimental site, fire smoke plume was thoroughly characterised by its optical properties, edge and dynamics. These parameters were obtained by combining methods based on lidar inversion technique, wavelet edge detection and a backscatter barycentre technique. The smoke plume displacement was determined using a digital video camera coupled with the lidar. The simulation was performed using a mesoscale atmospheric model in a large eddy simulation configuration (Meso-NH) coupled to a fire propagation physical model (ForeFire), taking into account the effect of wind, slope and fuel properties. A passive numerical scalar tracer was injected in the model at fire location to mimic the smoke plume. The simulated fire smoke plume width remained within the edge smoke plume obtained from lidar measurements. The maximum smoke injection derived from lidar backscatter coefficients and the simulated passive tracer was around 200 m. The vertical position of the simulated plume barycentre was systematically below the barycentre derived from the lidar backscatter coefficients due to the oversimplified properties of the passive tracer compared to real aerosol particles. Simulated speed and horizontal location of the plume compared well with the observations derived from the videography and lidar method, suggesting that fire convection and advection were correctly taken into account.

References 1

Alves, C. A., Gonçalves, C., Evtyugina, M., Pio, C. A., Mirante, F., and Puxbaum, H.: Particulate organic compounds emitted from experimental wildland fires in a Mediterranean ecosystem, Atmos. Environ., 44, 2750–2759, 2010.

Alves, C., Vicente, A., Nunes, T., Gonçalves, C., Fernandes, A. P., Mirante, F., Tarelho, L., Sánchez de la Campa, A. M., Querol, X., Caseiro, A., Monteiro, C., Evtyugina, M., and Pio, C.: Summer 2009 wildfires in Portugal: Emission of trace gases and aerosol composition, Atmos. Environ., 45, 641–649, 2011.

Amiridis, V., Balis, D. S., Giannakaki, E., Stohl, A., Kazadzis, S., Koukouli, M. E., and Zanis, P.: Optical characteristics of biomass burning aerosols over Southeastern Europe determined from UV-Raman lidar measurements, Atmos. Chem. Phys., 9, 2431–2440, <a href="http://dx.doi.org/10.5194/acp-9-2431-2009">https://doi.org/10.5194/acp-9-2431-2009</a>, 2009.

Amiridis, V., Zerefos, C., Kazadzis, S., Gerasopoulos, E., Eleftheratos, K., Vrekoussis, M., Stohl, A., Mamouri, R. E., Kokkalis, P., Papayannis, A., Eleftheriadis, K., Diapouli, E., Keramitsoglou, I., Kontoes, C., Kotroni, V., Lagouvardos, K., Marinou, E., Giannakaki, E., Kostopoulou, E., Giannakopoulos, C., Richter, A., Burrows, J. P., and Mihalopoulos, N.: Impact of the 2009 Attica wild fires on the air quality in urban Athens, Atmos. Environ., 46, 536–544, 2012.

Anderson, H. E.: Heat transfer and fire spread. USDA Forest Service research paper INT. Intermountain Forest and Range Experiment Station, Forest Service, U.S. Dept. of Agriculture, 1969.

ASTM, D2015-96 "Standard Test Method for Gross Calorific Value of Solid Fuel by the Adiabatic Bomb Calorimeter", 1996.

Baars, H., Ansmann, A., Engelmann, R., and Althausen, D.: Continuous monitoring of the boundary-layer top with lidar, Atmos. Chem. Phys., 8, 7281–7296, <a href="http://dx.doi.org/10.5194/acp-8-7281-2008">https://doi.org/10.5194/acp-8-7281-2008</a>, 2008.

Balbi, J. H., Morandini, F., Silvani, X., Filippi, J. B., and Rinieri, F.: A Physical Model for Wildland Fires, Combust. Flame, 156, 2217–2230, 2009.

Barboni, T., Cannac, M., Pasqualini, V., Simeoni, A., Leoni, E., and Chiaramonti, N.: Volatile and semi-volatile organic compounds in smoke exposure of firefighters during prescribed burning in the Mediterranean region, Int. J. Wildland Fire, 19, 606–612, 2010.

Boers, R. and Eloranta, E. W.: Lidar measurement of the atmospheric entrainment zone and the potential temperature jump across the top of the mixed layer, Bound.-Lay. Meteorol., 34, 357–375, 1986.

Bodhaine, B., Wood, N. B., Dutton, E. G., and Slusser, J. R: On Rayleigh optical depth calculations, J. Atmos. Ocean. Tech., 16, 1854–1861, 1999.

Brooks, I. M.: Finding boundary layer top: application of a wavelet covariance transform to lidar back- scatter profiles, J. Atmos. Ocean. Tech., 20, 1092–1105, 2003.

Bucholtz, A.: Rayleigh-scattering calculations for the terrestrial atmosphere, Appl. Optics, 34, 2765–2773, 1995.

Burling, I. R., Yokelson, R. J., Akagi, S. K., Urbanski, S. P., Wold, C. E., Griffith, D. W. T., Johnson, T. J., Reardon, J., and Weise, D. R.: Airborne and ground-based measurements of the trace gases and particles emitted by prescribed fires in the United States, Atmos. Chem. Phys., 11, 12197–12216, <a href="http://dx.doi.org/10.5194/acp-11-12197-2011">https://doi.org/10.5194/acp-11-12197-2011</a>, 2011.

Burrows, N. D.: Flame residence times and rates of weight loss of eucalypt forest fuel particles, Int. J. Wildland Fire, 10, 137–143, <a href="http://dx.doi.org/10.1071/WF01005">https://doi.org/10.1071/WF01005</a>, 2001.

Charland, A. M. and Clements, C. B., Kinematic structure of a wildland fire plume observed by Doppler lidar, J. Geophys. Res.-Atmos., 118, 3200–3212, <a href="http://dx.doi.org/10.1002/jgrd.50308">https://doi.org/10.1002/jgrd.50308</a>, 2013.

Chu, D. A., Kaufman, Y. J., Zibordi, G., Chern, J. D., Mao, J., Li, C., and Holben, B. N.: Global monitoring of air pollution over land from the Earth observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS), J. Geophys. Res., 108, 4661, <a href="http://dx.doi.org/10.1029/2002JD003179">https://doi.org/10.1029/2002JD003179</a>, 2003.

Clark, T. L., Jenkins, M. A., Coen, J. L., and Packham, D. R.: A coupled atmosphere-fire model: convective feedback on fire line dynamics, J. Appl. Meteorol., 35, 875–901, 1996.

Colella, P. and Woodward, P. R.: The Piecewise Parabolic Method (PPM) for GasDynamical Simulations, J. Comput. Phys., 54, 174–201, 1984.

Cohn, S. A. and Angevine, W. M.: Boundary layer height and entrainment zone thickness measured by lidars and wind-profiling radars, J. Appl. Meteorol., 39, 1233–1247, 2000.

Das, S. K., Chiang, C.-W., and Nee, J.-B.: Characteristics of cirrus clouds and its radiative properties based on lidar observation over Chung-Li, Taiwan, Atmos. Res., 93, 723–735, 2009.

Davis, K., Hagelberg, C., and Gamage, N.: An Objective Method for determining atmospheric structure from airborne lidar observations, J. Atmos. Ocean. Tech., 17, 1455–1468, 2000.

Davis, K., Gamage, N., Hagelberg, C., Kiemle, C., LEnschow, D. H., and Sullivan, P. P.: An Objective Method for determining atmospheric structure from airborne lidar observations, J. Atmos. Ocean. Tech., 17, 1455–1468, 2000.

Di Donfrancesco, G., Cairo, F., Buontempo, C., Adriani, A., Viterbini, M., Snels, M., Morbidini, R., Piccolo, F., Cardillo, F., Pommereau, J. P., and Garnier, A.: Balloonborne lidar for cloud physics studies, Appl. Optics, 45, 5701–5708, 2006.

Fernald, F. G.: Analysis of atmospheric lidar observations: Some comments, Appl. Optics, 23, 652–653, 1984.

Fernandes, A. M., Utkin, A. B., Lavrov, A. V., and Vilar, R.: Optimisation of location and number of lidar apparatuses for early forest fire detection in hilly terrain, Fire Safety J., 41, 144–154, 2006.

Filippi, J. B., Bosseur, F., Mari, C., Lac, C., Le Moigne, P., Cuenot, B., Veynante, D., Cariolle, D., and Balbi, J. H.: Coupled Atmosphere-Wildland Fire Modelling, Journal of Advances in Modeling Earth Systems, 1, 11, <a href="http://dx.doi.org/10.3894/JAMES.2009.1.11">https://doi.org/10.3894/JAMES.2009.1.11</a>, 2009.

Filippi, J. B., Bosseur, F., Pialat, X., Santoni, P.A., Strada, S., Mari, C.: Simulation of coupled fire/atmosphere interaction with the MesoNH-ForeFire models, J. of Combustion, Article ID 540390, 2011.

Flamant, C., Pelon, J., Flamant, P. H., and Durand, P.: Lidar determination of the entrainment zone thickness at the top of the unstable marine atmospheric boundary layer, Bound.-Lay. Meteorol., 83, 247–284, 1997.

Franzi, L., Bratt, J. M., Williams, K. M., and Last, J. A.: Why is particulate matter produced by wildfires toxic to lung macrophages?, Toxicol. Appl. Pharm., 257, 182–188, <a href="http://dx.doi.org/10.1016/j.taap.2011.09.003">https://doi.org/10.1016/j.taap.2011.09.003</a>, 2011.

Gamage, N. K. K. and Hagelberg, C.: Detection and analysis of microfronts and associated coherent events using localized transforms, J. Atmos. Sci., 50, 750–756, 1993.

Gan, C.-M., Wu, Y., Madhavan, B. L., Gross, B., and Moshary, F.: Application of active optical sensors to probe the vertical structure of the urban boundary layer and assess anomalies in air quality model PM2.5 forecasts, Atmos. Environ., 45, 6613–6621, 2011.

Gross, S., Tesche, M., Freudenthaler, V., Toledano, C., Wiegner, M., Ansmann, A., Althausen, D., and Seefeldner, M.: Characterization of Saharan dust, marine aerosols and a mixture of biomass-burning aerosols and dust by means of multi-wavelength depolarization- and Raman measurements during SAMUM-2, Tellus B, 63, 706–724, 2011.

Heese, B. and Wiegner, M.: Vertical aerosol profiles from Raman polarization lidar observations during the dry season AMMA field campaign, J. Geophys. Res., 113, D00C11, <a href="http://dx.doi.org/10.1029/2007JD009487">https://doi.org/10.1029/2007JD009487</a>, 2008.

Hooper, W. P. and Eloranta, E. W.: Lidar measurements of wind in the planetary boundary layer: the method, accuracy and results from joint measurements with radiosonde and kytoon, J. Clim. Appl. Meteorol., 25, 990–1001, 1986.

Hodzic, A., Madronich, S., Bohn, B., Massie, S., Menut, L., and Wiedinmyer, C.: Wildfire particulate matter in Europe during summer 2003: meso-scale modeling of smoke emissions, transport and radiative effects, Atmos. Chem. Phys., 7, 4043–4064, <a href="http://dx.doi.org/10.5194/acp-7-4043-2007">https://doi.org/10.5194/acp-7-4043-2007</a>, 2007.

Kochanski, A., Jenkins, M. A., Krueger, S. K., Mandel, J., Beezley, J. D., and Clements, C. B.: Coupled atmosphere-fire simula- tions of the FireFlux experiment: Impacts of model resolution on its performance, Ninth Symposium on Fire and Forest Meteorology, 10.2, 8 pp., Palm Springs, CA, 2011.

Kovalev, V. A., Petkov, A., Wold, C., Urbanski, S., and Hao, W. M.: Determination of smoke plume and layer heights using scanning lidar data, Appl. Optics, 48, 5287–5294, 2009.

Lafore, J. P., Stein, J., Asencio, N., Bougeault, P., Ducrocq, V., Duron, J., Fischer, C., Héreil, P., Mascart, P., Masson, V., Pinty, J. P., Redelsperger, J. L., Richard, E., and Vilà-Guerau de Arellano, J.: The Meso-NH Atmospheric Simulation System. Part I: adiabatic formulation and control simulations, Ann. Geophys., 16, 90–109, <a href="http://dx.doi.org/10.1007/s00585-997-0090-6">https://doi.org/10.1007/s00585-997-0090-6</a>, 1998.

Langmann, B., Duncan, B., Textor, C., Trentmann, J., and Van der Werf, G. R.: Vegetation fire emissions and their impact on air pollution and climate, Atmos. Environ., 43, 107–116, 2009.

Lavrov, A., Utkin, A. B., Vilar, R., and Fernandes, A.: Application of lidar in ultraviolet, visible and infrared ranges for early forest fire detection, Int. J. Wildland Fire, 12, 159–166, 2003.

Lavrov, A., Utkin, A. B., Vilar, R., and Fernandes, A.: Evaluation of smoke dispersion from forest fire plumes using lidar experiments and modelling, Int. J. Therm. Sci., 45, 848–859, 2006.

Lee, S., Baumann, K., Schauer, J. J., Sheesley, R. J., Naeher, L. P., Meinardi, S., Blake, D. R., Edgerton, E. S., Russell, A. G., and Clements, M.: Gaseous and particulate emissions from prescribed burning in Georgia, Environ. Sci. Technol., 39, 9049–9056, <a href="http://dx.doi.org/10.1021/es051583l">https://doi.org/10.1021/es051583l</a>, 2005.

Leonard, S., Castranova, V., Chen, B. T., Schwegler-Berry, D., Hoover, M., Piacitelli, C., and Gaughan, D. M.: Particle size-dependent radical generation from wildland fire smoke, Toxicology, 236, 103–113, <a href="http://dx.doi.org/10.1016/j.tox.2007.04.008">https://doi.org/10.1016/j.tox.2007.04.008</a>, 2007.

Mandel, J., Beezley, J. D., and Kochanski, A. K.: Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011, Geosci. Model Dev., 4, 591–610, <a href="http://dx.doi.org/10.5194/gmd-4-591-2011">https://doi.org/10.5194/gmd-4-591-2011</a>, 2011.

Mao, F., Gong, W., Song, S., and Zhu, Z.: Determination of the boundary layer top from lidar backscatter profiles using a Haar wavelet method over Wuhan, China, Opt. Laser Technol., 49, 343–349, 2013.

Marenco, F., Johnson, B., Turnbull, K., Newman, S., Haywood, J., Webster, H., and Ricketts, H.: Airborne lidar observations of the 2010 Eyjafjallajokull volcanic ash plume, J. Geophys. Res.-Atmos., 116, D00U05, <a href="http://dx.doi.org/10.1029/2011JD016396">https://doi.org/10.1029/2011JD016396</a>, 2011.

Matis, I., Ansmann, A., Wandinger, U., and Muller, D.: Unexpectedly high aerosol load in the free troposphere over central Europe in spring/summer 2003, Geophys. Res. Lett., 30, 2178, <a href="http://dx.doi.org/10.1029/2003GL018442">https://doi.org/10.1029/2003GL018442</a>, 2003.

Menut, L., Flamant, C., Pelon, J., and Flamant, P. H.: Urban boundary-layer height determination from lidar measurements over the Paris area, Appl. Optics, 38, 945–954, 1999.

Miranda, A. I.: An integrated numerical system to estimate air quality effects of forest fires, Int. J. Wildland Fire, 13, 217–226, <a href="http://dx.doi.org/10.1071/WF02047">https://doi.org/10.1071/WF02047</a>, 2004.

Miranda, A. I., Ferreira, J., Valente, J., Santos, P., Amorin, J. H., and Borrego, C.: Smoke measurements during Gestosa-2002 experimental field fires, Int. J. Wildland fire, 14, 107–116, 2005.

Mona, L., Liu, Z., Mueller, D., Omar, A., Papayannis, A., Pappalardo, G., Sugimoto, N., and Vaughan, M.: Lidar Measurements for Desert Dust Characterization: An Overview, Adv. Meteorol., 2012, 36 pp., <a href="http://dx.doi.org/10.1155/2012/356265">https://doi.org/10.1155/2012/356265</a>, 2012.

Moro, C.: Détermination des caractéristiques physiques de particules de quelques espèces forestières méditerranéennes, INRA PIF2006-06, 2006.

Omar, A., Winker, D., Kittaka, C., Vaughan, M., Liu, Z., Hu, Y., Trepte, C. R., Rogers, R. R., Ferrare, R. A., Lee, K.-P., Kuehn, R. E., and Hostetler, C. A.: The CALIPSO automated aerosol classification and lidar ratio selection algorithm, J. Atmos. Ocean. Tech., 26, 1994–2014, 2009.

Pahlow, M., Kleissl, J., Parlange, M. B., Ondov, J. O., and Harrison, D.: Atmospheric boundary-layer structure observed during a haze event due to forest-fire smoke, Bound.-Lay. Meteorol., 114, 53–70, 2005.

Pal, S., Behrendt, A., and Wulfmeyer, V.: Elastic-backscatter-lidar-based characterization of the convective boundary layer and investigation of related statistics, Ann. Geophys., 28, 825–847, <a href="http://dx.doi.org/10.5194/angeo-28-825-2010">https://doi.org/10.5194/angeo-28-825-2010</a>, 2010.

Phuleria, H. C., Fine, P. M., Zhu, Y., and Sioutas, C.: Air quality impacts of the October 2003 Southern California wildfires, J. Geophys. Res., 110, D07S20, <a href="http://dx.doi.org/10.1029/2004JD004626">https://doi.org/10.1029/2004JD004626</a>, 2005.

Platt, C. M. R.: Remote Sounding of High Clouds. III: Monte Carlo Calculations of Multiple-Scattered Lidar Returns, J. Atmos. Sci., 38, 156–167, 1981.

Raut, J.-C. and Chazette, P.: Assessment of vertically-resolved PM10 from mobile lidar observations, Atmos. Chem. Phys., 9, 8617–8638, <a href="http://dx.doi.org/10.5194/acp-9-8617-2009">https://doi.org/10.5194/acp-9-8617-2009</a>, 2009.

Reinhardt, T. E. and Ottmar, R. D.: Baseline measurements of smoke exposure among wildland firefighters, J. Occup. Environ. Hyg., 1, 593–606, 2004.

Royer, P., Chazette, P., Sartelet, K., Zhang, Q. J., Beekmann, M., and Raut, J.-C.: Comparison of lidar-derived PM10 with regional modeling and ground-based observations in the frame of MEGAPOLI experiment, Atmos. Chem. Phys., 11, 10705–10726, <a href="http://dx.doi.org/10.5194/acp-11-10705-2011">https://doi.org/10.5194/acp-11-10705-2011</a>, 2011.

San-Miguel-Ayanz, J., Schulte, E., Schmuck, G., Camia, A., Strobl, P., Liberta, G., Giovando, C., Boca, R., Sedano, F., Kempeneers, P., McInerney, D., Withmore, C., Santos de Oliveira, S., Rodrigues, M., Durrant, T., Corti, P., Oehler, F., Vilar, L., and Amatulli, G.: Comprehensive Monitoring of Wildfires in Europe: The European Forest Fire Information System (EFFIS), Approaches to Managing Disaster – Assessing Hazards, Emergencies and Disaster Impacts, edited by: Tiefenbacher, J., ISBN: 978-953-51-0294-6, InTech, available at: <a href="http://cdn.intechopen.com/pdfs/31818/InTech-comprehensive_monitoring_of_wildfires_in_europe_the_european_forest_fire_information_system_effis_.pdf">http://cdn.intechopen.com/pdfs/31818/InTech-comprehensive_monitoring_of_wildfires_in_europe_the_european_forest_fire_information_system_effis_.pdf</a> (last access: 6 February 2014), 2012.

Santoni, P. A., Filippi, J. B., Balbi, J. H., and Bosseur, F.: Wildland Fire Behaviour Case Studies and Fuel Models for Landscape-Scale Fire Modeling, J. Combustion, 2011, 12 pp., <a href="http://dx.doi.org/10.1155/2011/613424">https://doi.org/10.1155/2011/613424</a>, 2011.

Sasano, Y., Shimizu, H., Takeuchi, N., and Okuda, M.: Geometrical form factor in the laser radar equation: an experimental determination, Appl. Optics, 18, 3908–3910, 1979.

Shinozuka, Y., Clarke, A. D., Howell, S. G., Kapustin, V. N., McNaughton, C. S., Zhou, J., and Anderson, B. E.: Aircraft profiles of aerosol microphysics and optical properties over North America: Aerosol optical depth and its association with PM2.5 and water uptake, J. Geophys. Res., 112, D12S20, <a href="http://dx.doi.org/10.1029/2006JD007918">https://doi.org/10.1029/2006JD007918</a>, 2007.

Singh, H. B., Cai, C., Kaduwela, A., Weinheimer, A., and Wisthaler, A.: Interactions of fire emissions and urban pollution over California: Ozone formation and air quality simulations, Atmos. Environ., 56, 45–51, <a href="http://dx.doi.org/10.1016/j.atmosenv.2012.03.046">https://doi.org/10.1016/j.atmosenv.2012.03.046</a>, 2012.

Steyn, D. G., Baldi, M., and Hoff, R. M.: The detection of mixed layer depth and entrainment zone thickness from lidar backscatter profiles, J. Atmos. Ocean. Tech., 16, 953–959, 1999.

Strada, S., Mari, C., Filippi, J. B., and Bosseur, F.: Wildfire and the atmosphere: Modelling the chemical and dynamic interactions at the regional scale, Atmos. Environ., 51, 234–249, 2012.

Tesche, M., Müller, D., Gross, S., Ansmann, A., Althausen, D., Freudenthaler, V., Weinzierl, B., Veira, A., and Petzold, A.: Optical and microphysical properties of smoke over Cape Verde inferred from multiwavelength lidar measurements, Tellus B, 63, 677–694, 2011.

Utkin, A. B., Fernandes, A., Simoes, F., Lavrov, A., and Vilar, R.: Feasibility of forest-fire smoke detection using lidar, Int. J. Wildland Fire, 12, 159–166, 2003.

Vadrevu, K. P., Ellicott, E., Giglio, L., Badarinath, K. V. S., Vermote, E., Justice, C., and Lau, W. K. M.: Vegetation fires in the himalayan region – Aerosol load, black carbon emissions and smoke plume heights, Atmos. Environ., 47 , 241–251, 2012.

van Donkelaar, A., Martin, R. V., and Park, R. J.: Estimating ground-level PM2.5 using aerosol optical depth determined from satellite remote sensing, J. Geophys. Res., 111, D21201, <a href="http://dx.doi.org/10.1029/2005JD006996">https://doi.org/10.1029/2005JD006996</a>, 2006.

Vincente, A., Alves, C., Monteiro, C., Nunes, T., Mirante, F., Cerqueira, Calvo, M. A., and Pio, C.: Organic speciation of aerosols from wildfires in central Portugal during summer 2009, Atmos. Environ., 57, 186–196, 2012.

Wang, J. and Christopher, S. A.: Intercomparison between satellite derived aerosol optical thickness and PM2.5 mass: implications for air quality studies, Geophys. Res. Lett., 30, 2095, <a href="http://dx.doi.org/10.1029/2003GL018174">https://doi.org/10.1029/2003GL018174</a>, 2003.

Wegesser, T. C., Pinkerton, K. E., and Last, J. A.: California Wildfires of 2008: Coarse and Fine Particulate Matter Toxicity, Environ Health Persp., 117, 893–897, 2009.

Weibring, P., Andersson, M., Edner, H., and Svanberg, S.: Remote monitoring of industrial emissions by combination of lidar and plume velocity measurements, Appl. Phys. B, 66, 383–388, 1998.

Winker, D. M., Vaughan, M. A., Omar, A., Hu, Y., Powell, K. A., Liu, Z., Hunt, W. H., and Young, S. A.: Overview of the CALIPSO mission and CALIOP data processing algorithms, J. Atmos. Ocean. Tech., 26, 2310–2323, 2009.

Wold, C. E., Urbanski, S., Kovalev, V., Petkov, A., and Hao, W. M.: Validation of smoke plume rise models using ground based lidar, in: Proceedings of 3rd Fire Behavior and Fuels Conference, edited by: Wade, D. D. and Robinson, M. L., Spokane, WA. Birmingham, AL: International Association of Wildland Fire, 11, 2010.

Yan, B., Zheng, M., Hu, Y. T., Lee, S., Kim, H. K., and Russell, A. G.: Organic composition of carbonaceous aerosols in an aged prescribed fire plume, Atmos. Chem. Phys., 8, 6381–6394, <a href="http://dx.doi.org/10.5194/acp-8-6381-2008">https://doi.org/10.5194/acp-8-6381-2008</a>, 2008.

Young, S. A.: Analysis of lidar backscatter profiles in optically thin clouds, Appl. Optics, 34, 7019–7031, 1995.