Assessing Vertical Allocation of Wildfire Smoke Emissions Using Observational Constraints From Airborne Lidar in the Western U.S.
Assessing Vertical Allocation of Wildfire Smoke Emissions Using Observational Constraints From Airborne Lidar in the Western U.S.
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DOI:
10.1029/2022jd036808
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发表时间:
2022-11-16
影响因子:
4.4
通讯作者:
Wiggins, Elizabeth
中科院分区:
文献类型:
--
作者:
Ye, Xinxin;Saide, Pablo E.;Hair, Johnathan;Fenn, Marta;Shingler, Taylor;Soja, Amber;Gargulinski, Emily;Wiggins, Elizabeth
Wildfire emissions are a key contributor of carbonaceous aerosols and trace gases to the atmosphere. Induced by buoyant lifting, smoke plumes can be injected into the free troposphere and lower stratosphere, which by consequence significantly affects the magnitude and distance of their influences on air quality and radiation budget. However, the vertical allocation of emissions when smoke escapes the planetary boundary layer (PBL) and the mechanism modulating it remain unclear. We present an inverse modeling framework to estimate the wildfire emissions, with their temporal and vertical evolution being constrained by assimilating aerosol extinction profiles observed from the airborne Differential Absorption Lidar‐High Spectral Resolution Lidar during the Fire Influence on Regional to Global Environments and Air Quality field campaign. Three fire events in the western U.S., which exhibit free‐tropospheric injections are examined. The constrained smoke emissions indicate considerably larger fractions of smoke injected above the PBL (f >PBL, 80%–94%) versus the column total, compared to those estimated by the WRF‐Chem model using the default plume rise option (12%–52%). The updated emission profiles yield improvements for the simulated vertical structures of the downwind transported smoke, but limited refinement of regional smoke aerosol optical depth distributions due to the spatiotemporal coverage of flight observations. These results highlight the significance of improving vertical allocation of fire emissions on advancing the modeling and forecasting of the environmental impacts of smoke. An inverse modeling framework is developed to estimate vertical wildfire emission allocation using airborne lidar observations Inversions for four fire cases with free‐troposphere injections suggest larger fractions of smoke injected above the planetary boundary layer than modeled Constrained emission profiles lead to improved vertical allocation of transported smoke but limited refinement of regional aerosol optical depth