Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign
暂无分享,去创建一个
Richard H. Moore | Kevin J. Sanchez | Ralph A. Kahn | Johnathan W. Hair | Zhanqing Li | Katherine Junghenn Noyes | James A. Limbacher | Marta A. Fenn | David M. Giles | Joseph M. Katich | Claire E. Robinson | Taylor J. Shingler | Kenneth L. Thornhill | Elizabeth B. Wiggins | Edward L. Winstead | Zhanqing Li | R. Kahn | D. Giles | M. Fenn | J. Hair | R. Moore | T. Shingler | J. Limbacher | E. Winstead | E. Wiggins | J. Katich | C. Robinson | K. Sanchez | K. Thornhill | K. J. Noyes | C. Robinson
[1] David J. Diner,et al. Wildfire smoke injection heights: Two perspectives from space , 2008 .
[2] Y. H. Zhang,et al. New particle formation in the presence of a strong biomass burning episode at a downwind rural site in PRD, China , 2013 .
[3] L. Radke,et al. Cloud Condensation Nuclei from a Simulated Forest Fire , 1969, Science.
[4] N. C. Hsu,et al. AERONET‐Based Nonspherical Dust Optical Models and Effects on the VIIRS Deep Blue/SOAR Over Water Aerosol Product , 2017, Journal of geophysical research. Atmospheres : JGR.
[5] J. Hansen,et al. Radiative forcing and climate response , 1997 .
[7] K. Jucks,et al. Planning, implementation, and scientific goals of the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) field mission , 2016 .
[8] Alexander Smirnov,et al. High aerosol optical depth biomass burning events: A comparison of optical properties for different source regions , 2003 .
[9] Ralph A. Kahn,et al. Sensitivity of multiangle imaging to the optical and microphysical properties of biomass burning aerosols , 2008 .
[10] Alexander Smirnov,et al. Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network , 2010 .
[11] A. Robinson,et al. Production of Secondary Organic Aerosol During Aging of Biomass Burning Smoke From Fresh Fuels and Its Relationship to VOC Precursors , 2019, Journal of Geophysical Research: Atmospheres.
[12] Mark R. Schoeberl,et al. Transport of smoke from Canadian forest fires to the surface near Washington, D.C.: Injection height, entrainment, and optical properties , 2004 .
[13] Maria Val Martin,et al. A Global Analysis of Wildfire Smoke Injection Heights Derived from Space-Based Multi-Angle Imaging , 2018, Remote. Sens..
[14] R. Kahn,et al. Distinguishing Remobilized Ash From Erupted Volcanic Plumes Using Space‐Borne Multiangle Imaging , 2017, Geophysical research letters.
[15] R. Kahn,et al. Karymsky volcano eruptive plume properties based on MISR multi-angle imagery, and volcanological implications. , 2018, Atmospheric chemistry and physics.
[16] Ralph A. Kahn,et al. MISR research-aerosol-algorithm refinements for dark water retrievals , 2014 .
[17] B. DeAngelo,et al. Bounding the role of black carbon in the climate system: A scientific assessment , 2013 .
[18] S. Twomey,et al. The Production of Cloud Nuclei by Cane Fires and the Effect on Cloud Droplet Concentration , 1967 .
[19] Woogyung V. Kim,et al. An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks , 2017 .
[20] R. Kahn,et al. The Evolution of Icelandic Volcano Emissions, as Observed From Space in the Era of NASA's Earth Observing System (EOS) , 2020, Journal of Geophysical Research: Atmospheres.
[21] P. Buseck,et al. Formation and evolution of tar balls from northwestern US wildfires , 2018, Atmospheric Chemistry and Physics.
[22] D. Koch,et al. Black carbon semi-direct effects on cloud cover: review and synthesis , 2010 .
[23] A. Virkkula. Correction of the Calibration of the 3-wavelength Particle Soot Absorption Photometer (3λ PSAP) , 2010 .
[24] T. Eck,et al. Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations , 2002 .
[25] Jian Wang,et al. The time evolution of aerosol composition over the Mexico City plateau , 2007 .
[26] D. L. Nelson,et al. Smoke injection heights from fires in North America: analysis of 5 years of satellite observations , 2009 .
[27] Barbara J. Gaitley,et al. An analysis of global aerosol type as retrieved by MISR , 2015 .
[28] M. Garay,et al. Identification and Characterization of Dust Source Regions Across North Africa and the Middle East Using MISR Satellite Observations , 2018, Geophysical Research Letters.
[29] Wayne C. Welch,et al. Airborne high spectral resolution lidar for profiling aerosol optical properties. , 2008, Applied optics.
[30] J. Ogren,et al. Determining Aerosol Radiative Properties Using the TSI 3563 Integrating Nephelometer , 1998 .
[31] Thomas W. Kirchstetter,et al. Evidence that the spectral dependence of light absorption by aerosols is affected by organic carbon , 2004 .
[32] Jian Wang,et al. Spherical tarball particles form through rapid chemical and physical changes of organic matter in biomass-burning smoke , 2019, Proceedings of the National Academy of Sciences.
[33] Ralph A. Kahn,et al. The impact of MISR-derived injection height initialization on wildfire and volcanic plume dispersion in the HYSPLIT model , 2018, Atmospheric Measurement Techniques.
[34] B. Samset,et al. Aerosol Absorption: Progress Towards Global and Regional Constraints , 2018, Current Climate Change Reports.
[35] J. Reid,et al. Physical and optical properties of young smoke from individual biomass fires in Brazil , 1998 .
[36] Hiren Jethva,et al. Satellite-Based Evidence of Wavelength-Dependent Aerosol Absorption in Biomass Burning Smoke Inferred from Ozone Monitoring Instrument , 2011 .
[37] David J. Diner,et al. Dynamics of fire plumes and smoke clouds associated with peat and deforestation fires in Indonesia , 2011 .
[38] Qi Zhang,et al. Regional Influence of Wildfires on Aerosol Chemistry in the Western US and Insights into Atmospheric Aging of Biomass Burning Organic Aerosol , 2016 .
[39] Ralph A. Kahn,et al. Eyjafjallajökull volcano plume particle-type characterization from space-based multi-angle imaging , 2012 .
[40] A. Nenes,et al. Scanning Mobility CCN Analysis—A Method for Fast Measurements of Size-Resolved CCN Distributions and Activation Kinetics , 2010 .
[41] Xingfa Gu,et al. Biomass burning aerosol characteristics for different vegetation types in different aging periods. , 2019, Environment international.
[42] M. Vaughan,et al. Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask , 2013 .
[43] David G. Streets,et al. Influence of regional-scale anthropogenic emissions on CO2 distributions over the western North Pacific , 2003 .
[44] Ulrich Pöschl,et al. Calibration and measurement uncertainties of a continuous-flow cloud condensation nuclei counter (DMT-CCNC): CCN activation of ammonium sulfate and sodium chloride aerosol particles in theory and experiment , 2007 .
[45] Harshvardhan,et al. The use of satellite‐measured aerosol optical depth to constrain biomass burning emissions source strength in the global model GOCART , 2012 .
[46] A. Watts,et al. Brown carbon aerosols from burning of boreal peatlands: microphysical properties, emission factors, and implications for direct radiative forcing , 2016 .
[47] J. Jimenez,et al. Evolution of brown carbon in wildfire plumes , 2015 .
[48] Ralph A. Kahn,et al. Assessing the Altitude and Dispersion of Volcanic Plumes Using MISR Multi-angle Imaging from Space: Sixteen Years of Volcanic Activity in the Kamchatka Peninsula, Russia , 2017 .
[49] E. Atlas,et al. Emissions from biomass burning in the Yucatan , 2009 .
[50] Louisa Emmons,et al. © Author(s) 2008. This work is distributed under the Creative Commons Attribution 3.0 License. Atmospheric Chemistry and Physics Fast airborne aerosol size and chemistry measurements above , 2008 .
[51] P. Formenti,et al. Probing into the aging dynamics of biomass burning aerosol by using satellite measurements of aerosol optical depth and carbon monoxide , 2016 .
[52] Zhanqing Li,et al. Wildfire Smoke Particle Properties and Evolution, from Space-Based Multi-Angle Imaging , 2020, Remote. Sens..
[53] R. Kahn,et al. Interpreting the volcanological processes of Kamchatka, based on multi-sensor satellite observations , 2020 .
[54] Michael J. Garay,et al. MISR observations of Etna volcanic plumes , 2012 .
[55] Michael J. Garay,et al. Stereoscopic Height and Wind Retrievals for Aerosol Plumes with the MISR INteractive eXplorer (MINX) , 2013, Remote. Sens..
[56] Glen W. Sachse,et al. Fast‐response, high‐precision carbon monoxide sensor using a tunable diode laser absorption technique , 1987 .
[57] Glen W. Sachse,et al. Airborne tunable diode laser sensor for high-precision concentration and flux measurements of carbon monoxide and methane , 1991, Photonics West - Lasers and Applications in Science and Engineering.
[58] R. Ferrare,et al. Aerosol classification using airborne High Spectral Resolution Lidar measurements – methodology and examples , 2011 .
[59] M. Vaughan,et al. Separating mixtures of aerosol types in airborne High Spectral Resolution Lidar data , 2013 .
[60] V. Ramanathan,et al. Brown carbon: a significant atmospheric absorber of solar radiation? , 2013 .
[61] Cloud droplet activation of black carbon particles coated with organic compounds of varying solubility , 2017, Atmospheric Chemistry and Physics.
[62] Andrew A. May,et al. Gas‐particle partitioning of primary organic aerosol emissions: 3. Biomass burning , 2013 .
[63] David R. Weise,et al. Evolution of trace gases and particles emitted by a chaparral fire in California , 2011 .
[64] Yang Chen,et al. Example applications of the MISR INteractive eXplorer (MINX) software tool to wildfire smoke plume analyses , 2008, Optical Engineering + Applications.
[65] S. Urbanski. Combustion efficiency and emission factors for wildfire-season fires in mixed conifer forests of the northern Rocky Mountains, US , 2013 .
[66] R. Kahn,et al. Updated MISR over-water research aerosol retrieval algorithm – Part 2: A multi-angle aerosol retrieval algorithm for shallow, turbid, oligotrophic, and eutrophic waters , 2019, Atmospheric Measurement Techniques.
[67] Bernard Pinty,et al. Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview , 1998, IEEE Trans. Geosci. Remote. Sens..
[68] A. Robinson,et al. New particle formation and growth in biomass burning plumes: An important source of cloud condensation nuclei , 2012 .
[69] M. Dubey,et al. Brown carbon in tar balls from smoldering biomass combustion , 2010 .
[70] M. Kahnert,et al. Observations of the spectral dependence of linear particle depolarization ratio of aerosols using NASA Langley airborne High Spectral Resolution Lidar , 2015 .