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Title: Revealing important nocturnal and day-to-day variations in fire smoke emissions through a multiplatform inversion

Journal Article · · Geophysical Research Letters
DOI:https://doi.org/10.1002/2015GL063737· OSTI ID:1239595
 [1];  [2];  [3];  [4];  [4];  [4];  [5];  [4];  [4];  [4];  [6];  [6];  [7];  [7];  [8];  [9];  [9];  [10];  [11]; ORCiD logo [11] more »;  [12];  [13];  [6];  [14];  [1] « less
  1. Univ. of Iowa, Iowa City, IA (United States)
  2. National Research Council, Monterey, CA (United States)
  3. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  4. NASA Langley Research Center, Hampton, VA (United States)
  5. National Inst. of Aerospace, Hampton, VA (United States)
  6. Univ. of Colorado, Boulder, CO (United States)
  7. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  8. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States); Environment Canada, Toronto, ON (Canada)
  9. NASA Ames, Moffett Field, CA (United States)
  10. NASA Ames, Moffett Field, CA (United States); Bay Area Environmental Research Institute, Petaluma, CA (United States)
  11. Argonne National Lab. (ANL), Argonne, IL (United States)
  12. Univ. of New Hampshire, Durham, NH (United States)
  13. Univ. of Montana, Missoula, MT (United States)
  14. Naval Research Lab., Monterey, CA (United States)
+ Show Author Affiliations

We couple airborne, ground-based, and satellite observations; conduct regional simulations; and develop and apply an inversion technique to constrain hourly smoke emissions from the Rim Fire, the third largest observed in California, USA. Emissions constrained with multiplatform data show notable nocturnal enhancements (sometimes over a factor of 20), correlate better with daily burned area data, and are a factor of 2–4 higher than a priori estimates, highlighting the need for improved characterization of diurnal profiles and day-to-day variability when modeling extreme fires. Constraining only with satellite data results in smaller enhancements mainly due to missing retrievals near the emissions source, suggesting that top-down emission estimates for these events could be underestimated and a multiplatform approach is required to resolve them. As a result, predictions driven by emissions constrained with multiplatform data present significant variations in downwind air quality and in aerosol feedback on meteorology, emphasizing the need for improved emissions estimates during exceptional events.

Research Organization:
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
National Aeronautics and Space Administration (NASA); National Institutes of Health (NIH); National Science Foundation (NSF); USEPA; National Center for Research Resouces
Grant/Contract Number:
AC02-06CH11357; 1049140 NCE; NNX11AI52G; NNH12AT27i; NNX12AC03G; NNX12AC20G; NNX12AC64G; UL1RR024979
OSTI ID:
1239595
Journal Information:
Geophysical Research Letters, Vol. 42, Issue 9; ISSN 0094-8276
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 67 works
Citation information provided by
Web of Science

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Cited By (18)

Environmental Conditions, Ignition Type, and Air Quality Impacts of Wildfires in the Southeastern and Western United States journal October 2018
Spatiotemporal visibility characteristics impacted by forest and land fire over airports in sumatera and borneo Island, Indonesia journal September 2019
New Tropical Peatland Gas and Particulate Emissions Factors Indicate 2015 Indonesian Fires Released Far More Particulate Matter (but Less Methane) than Current Inventories Imply journal March 2018
Correcting Swath-Dependent Bias of MODIS FRP Observations With Quantile Mapping journal May 2019
Sources, seasonality, and trends of southeast US aerosol: an integrated analysis of surface, aircraft, and satellite observations with the GEOS-Chem chemical transport model journal January 2015
Two global data sets of daily fire emission injection heights since 2003 journal January 2017
Connecting smoke plumes to sources using Hazard Mapping System (HMS) smoke and fire location data over North America journal January 2018
In situ measurements of angular-dependent light scattering by aerosols over the contiguous United States journal January 2018
In situ measurements of trace gases, PM, and aerosol optical properties during the 2017 NW US wildfire smoke event journal January 2019
Six global biomass burning emission datasets: intercomparison and application in one global aerosol model journal January 2020
Global fire emissions estimates during 1997–2016 journal January 2017
The FireWork air quality forecast system with near-real-time biomass burning emissions: Recent developments and evaluation of performance for the 2015 North American wildfire season text January 2016
An intercomparison of aerosol absorption measurements conducted during the SEAC4RS campaign text January 2018
An intercomparison of aerosol absorption measurements conducted during the SEAC 4 RS campaign journal August 2018
Connecting smoke plumes to sources using Hazard Mapping System (HMS) smoke and fire location data over North America posted_content June 2017
The FireWork air quality forecast system with near-real-time biomass burning emissions: Recent developments and evaluation of performance for the 2015 North American wildfire season text January 2016
Sources, seasonality, and trends of southeast US aerosol: An integrated analysis of surface, aircraft, and satellite observations with the GEOS-Chem chemical transport model text January 2015
The FireWork air quality forecast system with near-real-time biomass burning emissions: Recent developments and evaluation of performance for the 2015 North American wildfire season journal March 2016

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Related Subjects

54 ENVIRONMENTAL SCIENCES
inversion
fire emissions
biomass burning
SEAC4RS
WRF‐Chem
AERONET