TY - JOUR
T1 - Quantifying Long-Term Seasonal and Regional Impacts of North American Fire Activity on Continental Boundary Layer Aerosols and Cloud Condensation Nuclei
AU - Logan, Timothy
AU - Dong, Xiquan
AU - Xi, Baike
AU - Zheng, Xiaojian
AU - Wang, Yuan
AU - Wu, Peng
AU - Marlow, Eleanor
AU - Maddux, James
N1 - Funding Information:
The authors wish to thank the anonymous reviewers for their insightful comments to improve the manuscript. This research was supported by National Science Foundation Collaborative Research under award number AGS‐1700796 at Texas A&M University, AGS‐1700728 at the University of Arizona, and AGS‐1700727 at California Institute of Technology. Eleanor Marlow and James Maddux were supported by the Texas A&M University High Impact Learning Program grant.
Funding Information:
The surface aerosol data were obtained from the ARM‐SGP central facility sponsored by the U.S. DOE Office of Energy Research, Office of Health and Environmental Research, and Environmental Sciences Division. Analyses and visualizations used to generate the MERRA‐2 figures were produced using the NASA Giovanni online data system, developed and maintained by the NASA GES DISC (found at https://giovanni.gsfc.nasa.gov/giovanni/ ). The wind data used in Figure 5 are available from NOAA ESRL data repository website (found at https://www.esrl.noaa.gov/psd/data/composites/day/ ).
Funding Information:
The authors wish to thank the anonymous reviewers for their insightful comments to improve the manuscript. This research was supported by National Science Foundation Collaborative Research under award number AGS-1700796 at Texas A&M University, AGS-1700728 at the University of Arizona, and AGS-1700727 at California Institute of Technology. Eleanor Marlow and James Maddux were supported by the Texas A&M University High Impact Learning Program grant.
Publisher Copyright:
©2020. The Authors.
PY - 2020/12
Y1 - 2020/12
N2 - An intimate knowledge of aerosol transport is essential in reducing the uncertainty of the impacts of aerosols on cloud development. Data sets from the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement platform in the Southern Great Plains region (ARM-SGP) and the National Aeronautics and Space Administration (NASA) Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), showed seasonal increases in aerosol loading and total carbon concentration during the spring and summer months (2008–2016) which was attributed to fire activity and smoke transport within North America. The monthly mean MERRA-2 surface carbonaceous aerosol mass concentration and ARM-SGP total carbon products were strongly correlated (R = 0.82, p < 0.01) along with a moderate correlation with the ARM-SGP cloud condensation nuclei (NCCN) product (0.5, p ~ 0.1). The monthly mean ARM-SGP total carbon and NCCN products were strongly correlated (0.7, p ~ 0.01). An additional product denoting fire number and coverage taken from the National Interagency Fire Center (NIFC) showed a moderate correlation with the MERRA-2 carbonaceous product (0.45, p < 0.01) during the 1981–2016 warm season months (March–September). With respect to meteorological conditions, the correlation between the NIFC fire product and MERRA-2 850-hPa isobaric height anomalies was lower (0.26, p ~ 0.13) due to the variability in the frequency, intensity, and number of fires in North America. An observed increase in the isobaric height anomaly during the past decade may lead to frequent synoptic ridging and drier conditions with more fires, thereby potentially impacting cloud/precipitation processes and decreasing air quality.
AB - An intimate knowledge of aerosol transport is essential in reducing the uncertainty of the impacts of aerosols on cloud development. Data sets from the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement platform in the Southern Great Plains region (ARM-SGP) and the National Aeronautics and Space Administration (NASA) Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), showed seasonal increases in aerosol loading and total carbon concentration during the spring and summer months (2008–2016) which was attributed to fire activity and smoke transport within North America. The monthly mean MERRA-2 surface carbonaceous aerosol mass concentration and ARM-SGP total carbon products were strongly correlated (R = 0.82, p < 0.01) along with a moderate correlation with the ARM-SGP cloud condensation nuclei (NCCN) product (0.5, p ~ 0.1). The monthly mean ARM-SGP total carbon and NCCN products were strongly correlated (0.7, p ~ 0.01). An additional product denoting fire number and coverage taken from the National Interagency Fire Center (NIFC) showed a moderate correlation with the MERRA-2 carbonaceous product (0.45, p < 0.01) during the 1981–2016 warm season months (March–September). With respect to meteorological conditions, the correlation between the NIFC fire product and MERRA-2 850-hPa isobaric height anomalies was lower (0.26, p ~ 0.13) due to the variability in the frequency, intensity, and number of fires in North America. An observed increase in the isobaric height anomaly during the past decade may lead to frequent synoptic ridging and drier conditions with more fires, thereby potentially impacting cloud/precipitation processes and decreasing air quality.
KW - aerosol chemistry
KW - aerosol-cloud interactions
KW - biomass burning
KW - boundary layer aerosols
KW - climatology
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U2 - 10.1029/2020EA001113
DO - 10.1029/2020EA001113
M3 - Article
AN - SCOPUS:85097985419
SN - 2333-5084
VL - 7
JO - Earth and Space Science
JF - Earth and Space Science
IS - 12
M1 - e2020EA001113
ER -