Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign
Although the characteristics of biomass burning events and the ambient ecosystem determine emitted smoke composition, the conditions that modulate the partitioning of black carbon (BC) and brown carbon (BrC) formation are not well understood, nor are the spatial or temporal frequency of factors driv...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/22/3823 |
| _version_ | 1797547218939412480 |
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| author | Katherine T. Junghenn Noyes Ralph A. Kahn James A. Limbacher Zhanqing Li Marta A. Fenn David M. Giles Johnathan W. Hair Joseph M. Katich Richard H. Moore Claire E. Robinson Kevin J. Sanchez Taylor J. Shingler Kenneth L. Thornhill Elizabeth B. Wiggins Edward L. Winstead |
| author_facet | Katherine T. Junghenn Noyes Ralph A. Kahn James A. Limbacher Zhanqing Li Marta A. Fenn David M. Giles Johnathan W. Hair Joseph M. Katich Richard H. Moore Claire E. Robinson Kevin J. Sanchez Taylor J. Shingler Kenneth L. Thornhill Elizabeth B. Wiggins Edward L. Winstead |
| author_sort | Katherine T. Junghenn Noyes |
| collection | DOAJ |
| description | Although the characteristics of biomass burning events and the ambient ecosystem determine emitted smoke composition, the conditions that modulate the partitioning of black carbon (BC) and brown carbon (BrC) formation are not well understood, nor are the spatial or temporal frequency of factors driving smoke particle evolution, such as hydration, coagulation, and oxidation, all of which impact smoke radiative forcing. In situ data from surface observation sites and aircraft field campaigns offer deep insight into the optical, chemical, and microphysical traits of biomass burning (BB) smoke aerosols, such as single scattering albedo (SSA) and size distribution, but cannot by themselves provide robust statistical characterization of both emitted and evolved particles. Data from the NASA Earth Observing System’s Multi-Angle Imaging SpectroRadiometer (MISR) instrument can provide at least a partial picture of BB particle properties and their evolution downwind, once properly validated. Here we use in situ data from the joint NOAA/NASA 2019 Fire Influence on Regional to Global Environments Experiment-Air Quality (FIREX-AQ) field campaign to assess the strengths and limitations of MISR-derived constraints on particle size, shape, light-absorption, and its spectral slope, as well as plume height and associated wind vectors. Based on the satellite observations, we also offer inferences about aging mechanisms effecting downwind particle evolution, such as gravitational settling, oxidation, secondary particle formation, and the combination of particle aggregation and condensational growth. This work builds upon our previous study, adding confidence to our interpretation of the remote-sensing data based on an expanded suite of in situ measurements for validation. The satellite and in situ measurements offer similar characterizations of particle property evolution as a function of smoke age for the 06 August Williams Flats Fire, and most of the key differences in particle size and absorption can be attributed to differences in sampling and changes in the plume geometry between sampling times. Whereas the aircraft data provide validation for the MISR retrievals, the satellite data offer a spatially continuous mapping of particle properties over the plume, which helps identify trends in particle property downwind evolution that are ambiguous in the sparsely sampled aircraft transects. The MISR data record is more than two decades long, offering future opportunities to study regional wildfire plume behavior statistically, where aircraft data are limited or entirely lacking. |
| first_indexed | 2024-03-10T14:41:13Z |
| format | Article |
| id | doaj.art-b3589ccd5d0e42efaee395c1f3a4a4d4 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T14:41:13Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b3589ccd5d0e42efaee395c1f3a4a4d42023-11-20T21:48:44ZengMDPI AGRemote Sensing2072-42922020-11-011222382310.3390/rs12223823Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ CampaignKatherine T. Junghenn Noyes0Ralph A. Kahn1James A. Limbacher2Zhanqing Li3Marta A. Fenn4David M. Giles5Johnathan W. Hair6Joseph M. Katich7Richard H. Moore8Claire E. Robinson9Kevin J. Sanchez10Taylor J. Shingler11Kenneth L. Thornhill12Elizabeth B. Wiggins13Edward L. Winstead14Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USADepartment of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USANASA Goddard Space Flight Center, Greenbelt, MD 20771, USADepartment of Atmospheric and Oceanic Science, University of Maryland, College Park, MD 20742, USANASA Langley Research Center, Hampton, VA 23681, USANASA Goddard Space Flight Center, Greenbelt, MD 20771, USANASA Langley Research Center, Hampton, VA 23681, USAChemical Sciences Laboratory, NOAA Earth System Research Laboratories, Boulder, CO 80305, USANASA Langley Research Center, Hampton, VA 23681, USANASA Langley Research Center, Hampton, VA 23681, USANASA Langley Research Center, Hampton, VA 23681, USANASA Langley Research Center, Hampton, VA 23681, USANASA Langley Research Center, Hampton, VA 23681, USANASA Langley Research Center, Hampton, VA 23681, USANASA Langley Research Center, Hampton, VA 23681, USAAlthough the characteristics of biomass burning events and the ambient ecosystem determine emitted smoke composition, the conditions that modulate the partitioning of black carbon (BC) and brown carbon (BrC) formation are not well understood, nor are the spatial or temporal frequency of factors driving smoke particle evolution, such as hydration, coagulation, and oxidation, all of which impact smoke radiative forcing. In situ data from surface observation sites and aircraft field campaigns offer deep insight into the optical, chemical, and microphysical traits of biomass burning (BB) smoke aerosols, such as single scattering albedo (SSA) and size distribution, but cannot by themselves provide robust statistical characterization of both emitted and evolved particles. Data from the NASA Earth Observing System’s Multi-Angle Imaging SpectroRadiometer (MISR) instrument can provide at least a partial picture of BB particle properties and their evolution downwind, once properly validated. Here we use in situ data from the joint NOAA/NASA 2019 Fire Influence on Regional to Global Environments Experiment-Air Quality (FIREX-AQ) field campaign to assess the strengths and limitations of MISR-derived constraints on particle size, shape, light-absorption, and its spectral slope, as well as plume height and associated wind vectors. Based on the satellite observations, we also offer inferences about aging mechanisms effecting downwind particle evolution, such as gravitational settling, oxidation, secondary particle formation, and the combination of particle aggregation and condensational growth. This work builds upon our previous study, adding confidence to our interpretation of the remote-sensing data based on an expanded suite of in situ measurements for validation. The satellite and in situ measurements offer similar characterizations of particle property evolution as a function of smoke age for the 06 August Williams Flats Fire, and most of the key differences in particle size and absorption can be attributed to differences in sampling and changes in the plume geometry between sampling times. Whereas the aircraft data provide validation for the MISR retrievals, the satellite data offer a spatially continuous mapping of particle properties over the plume, which helps identify trends in particle property downwind evolution that are ambiguous in the sparsely sampled aircraft transects. The MISR data record is more than two decades long, offering future opportunities to study regional wildfire plume behavior statistically, where aircraft data are limited or entirely lacking.https://www.mdpi.com/2072-4292/12/22/3823biomass burningremote sensingMISRsmoke plumeparticle propertiesaerosols |
| spellingShingle | Katherine T. Junghenn Noyes Ralph A. Kahn James A. Limbacher Zhanqing Li Marta A. Fenn David M. Giles Johnathan W. Hair Joseph M. Katich Richard H. Moore Claire E. Robinson Kevin J. Sanchez Taylor J. Shingler Kenneth L. Thornhill Elizabeth B. Wiggins Edward L. Winstead Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign Remote Sensing biomass burning remote sensing MISR smoke plume particle properties aerosols |
| title | Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign |
| title_full | Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign |
| title_fullStr | Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign |
| title_full_unstemmed | Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign |
| title_short | Wildfire Smoke Particle Properties and Evolution, From Space-Based Multi-Angle Imaging II: The Williams Flats Fire during the FIREX-AQ Campaign |
| title_sort | wildfire smoke particle properties and evolution from space based multi angle imaging ii the williams flats fire during the firex aq campaign |
| topic | biomass burning remote sensing MISR smoke plume particle properties aerosols |
| url | https://www.mdpi.com/2072-4292/12/22/3823 |
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