Publications by authors named "Megan M Bela"

Article Synopsis
  • Fire is a critical part of ecosystems and a tool used by humans, but changing fire patterns due to climate change are causing serious problems for health and infrastructure.
  • The text emphasizes the need for collaborative and inclusive research efforts to address fire threats and to better understand both human and ecological systems.
  • It advocates for a shift towards integrative and predictive approaches in fire science to foster innovation and improve resilience to increasing fire risks in the Anthropocene.
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The Amazon rainforest suffers increasing pressure from anthropogenic activities. A key aspect not fully understood is how anthropogenic atmospheric emissions within the basin interact with biogenic emissions and impact the forest's atmosphere and biosphere. We combine a high-resolution atmospheric chemical transport model with an improved emissions inventory and in-situ measurements to investigate a surprisingly high concentration of ozone (O) and secondary organic aerosol (SOA) 150-200 km downwind of Manaus city in an otherwise pristine forested region.

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Carbonaceous emissions from wildfires are a dynamic mixture of gases and particles that have important impacts on air quality and climate. Emissions that feed atmospheric models are estimated using burned area and fire radiative power (FRP) methods that rely on satellite products. These approaches show wide variability and have large uncertainties, and their accuracy is challenging to evaluate due to limited aircraft and ground measurements.

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Deep convective transport of gaseous precursors to ozone (O) and aerosols to the upper troposphere is affected by liquid phase and mixed-phase scavenging, entrainment of free tropospheric air and aqueous chemistry. The contributions of these processes are examined using aircraft measurements obtained in storm inflow and outflow during the 2012 Deep Convective Clouds and Chemistry (DC3) experiment combined with high-resolution (d ≤ 3 km) WRF-Chem simulations of a severe storm, an air mass storm, and a mesoscale convective system (MCS). The simulation results for the MCS suggest that formaldehyde (CHO) is not retained in ice when cloud water freezes, in agreement with previous studies of the severe storm.

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