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> Publications for FIREX-AQ
Publication Citation
Saide Peralta
,
et al.
(2022),
Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements
,
Geophys. Res. Lett., 49
, e2022GL099175, doi:10.1029/2022GL099175.
Saide Peralta
,
et al.
(2023),
Understanding the Evolution of Smoke Mass Extinction Efficiency Using Field Campaign Measurements
,
Geophys. Res. Lett., 49
, e2022GL099175, doi:10.1029/2022GL099175.
Stockwell, C. E.
,
et al.
(2022),
Airborne Emission Rate Measurements Validate Remote Sensing Observations and Emission Inventories of Western U.S. Wildfires
,
Environ. Sci. Technol., 56
, 7564-7577, doi:10.1021/acs.est.1c07121.
Tang, W.
,
et al.
(2022),
Effects of Fire Diurnal Variation and Plume Rise on U.S. Air Quality During FIREX-AQ and WE-CAN Based on the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICAv0)
,
J. Geophys. Res., 127
, e2022JD036650, doi:10.1029/2022JD036650.
Tang, Y.
,
et al.
(2023),
Evaluation of the NAQFC driven by the NOAA Global Forecast System (version 16): comparison with the WRF-CMAQ during the summer 2019 FIREX-AQ campaign
,
Geosci. Model. Dev.
, doi:10.5194/gmd-15-7977-2022.
Thapa, L.
,
et al.
(2023),
Heat flux assumptions contribute to overestimation of wildfire smoke injection into the free troposphere
,
Nature
, doi:10.1038/s43247-022-00563-x.
Tomsche, L.
,
et al.
(2023),
Measurement report: Emission factors of NH3 and NHx for wildfires and agricultural fires in the United States
,
Atmos. Chem. Phys.
, doi:10.5194/acp-23-2331-2023.
Wang, S.
,
et al.
(2021),
Chemical Tomography in a Fresh Wildland Fire Plume: A Large Eddy Simulation (LES) Study
,
J. Geophys. Res.
.
Warneke, C.
,
et al.
(2023),
Fire Influence on Regional to Global Environments and Air Quality (FIREX-AQ)
,
J. Geophys. Res., 128
, e2022JD037758, doi:10.1029/2022JD037758.
Wiggins, E. B.,
et al.
(2021),
Reconciling assumptions in bottom-up and top-down approaches for estimating aerosol emission rates from wildland fires using observations from FIREX-AQ
,
J. Geophys. Res., 126
, e2021JD035692, doi:10.1029/2021JD035692.
Xu, L.,
et al.
(2022),
Ozone chemistry in western U.S. wildfire plumes
,
Science Advances, 7
, eabl3648, doi:10.1126/sciadv.abl3648.
Xu, L.
,
et al.
(2022),
Adv.7, eabl3648 (2021) 8 December 2021SCIENCE ADVANCES
,
Ozone chemistry in western U.S. wildfire plumes, Xu et al., Sci., 7
, eabl3648, doi:10.1126/sciadv.abl3648.
Ye, X.
,
et al.
(2020),
Assessment of Satellite AOD during the 2020 Wildfire Season in the Western U.S.
,
Wildfire Season in the Western U.S.. Remote Sens., 2022
, 6113, doi:10.3390/rs14236113.
Ye, X.,
et al.
(2021),
Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire
,
Atmos. Chem. Phys., 21
, 14427-14469, doi:10.5194/acp-21-14427-2021.
Ye, X.
,
et al.
(2021),
Evaluation and intercomparison of wildfire smoke forecasts from multiple modeling systems for the 2019 Williams Flats fire
,
Atmos. Chem. Phys.
, doi:10.5194/acp-2021-223.
Ye, X.
,
et al.
(2023),
Assessing Vertical Allocation of Wildfire Smoke Emissions Using Observational Constraints From Airborne Lidar in the Western U.S.
,
J. Geophys. Res.
.
Zhou, D. K.
,
et al.
(2022),
Estimation of fire-induced CO plume age from NAST–I during the FIREX-AQ field campaign
,
Journal of Applied Remote Sensing 034522-1
, doi:10.1117/1.JRS.16.034522.
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