Reconciling satellite aerosol optical thickness and surface fine particle mass through aerosol liquid water

Nguyen, T. K. V.; Ghate, Virendra P.; Carlton, Annmarie G.

doi:10.1002/2016gl070994

Cited by 22 publications

(36 citation statements)

References 88 publications

(142 reference statements)

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“…Further, higher correlations are generally found between PM 2.5 and low level AOD (i.e., up to 500 m above the surface; Li et al, ). As noted earlier, aerosol water content, which in this study is simulated differently by MODAL and MOSAIC‐8bins, was found to be a key factor needed to reconcile the apparent disconnect between satellite derived AOD and observed PM 2.5 concentrations (Brock, Wagner, Anderson, Attwood, et al, ; Brock, Wagner, Anderson, Beyersdorf, et al, ; Nguyen, Ghate, et al, ).…”

Section: Analyses Of Wrf‐chem Sensitivity and Fidelitymentioning

confidence: 99%

Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF‐Chem Parameterizations

et al. 2019

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Aerosol properties and their climatic feedbacks are characterized by high uncertainty in both global and regional model simulations. We explore sources of uncertainty in the representation of aerosol properties using an ensemble of simulations performed at 24‐km resolution with WRF‐Chem over eastern North America. The sensitivity of aerosol optical depth (AOD) and near‐surface fine particle concentrations (PM2.5) to planetary boundary layer (PBL) and aerosol schemes (modal with secondary organic aerosol versus sectional but excluding secondary organic aerosol), as well as different emission inventories (National Emission Inventory [NEI] 2005 versus 2011) is examined. We quantify the spread among ensemble members with respect to the model setup and compute statistical metrics to identify the run configuration that exhibits greatest fidelity relative to observations of aerosol and meteorological properties. Use of the Modal Aerosol Dynamics Model for Europe/Secondary Organic Aerosol Model scheme leads to highest agreement with Moderate Resolution Imaging Spectroradiometer clear‐sky AOD observations particularly when the 2005 NEI is used (with either PBL scheme). These members exhibit small negative mean fractional bias over the simulation domain (<2%) and relatively high spatial correlation in summertime mean monthly AOD (>0.5). The aerosol scheme and NEI dominate the ensemble spread in AOD. Near‐surface PM2.5 is also dependent on PBL scheme and is best reproduced in runs adopting a sectional approach and emissions for 2011. Thus, WRF‐Chem configuration associated with highest agreement with AOD observations is not the same as for PM2.5, possibly reflecting the importance of columnar water vapor in dictating AOD or other unexplored uncertainties linking surface mass concentrations to column optical properties.

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Section: Analyses Of Wrf‐chem Sensitivity and Fidelitymentioning

confidence: 99%

Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF‐Chem Parameterizations

et al. 2019

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“…One reason that mean annual temperatures in the southeastern United States decreased in the twentieth century despite overall global-mean warming may be the direct radiative effect of the SOA formed from biogenic volatile organic compounds, known as bSOA [Goldstein et al, 2009;Portmann et al, 2009]. This recent cooling trend may also have contributions from internal variability [Banerjee et al, 2017], aerosol sources aloft [Ford and Heald, 2013], cloud forcing [Yu et al, 2014], particle phase water [Nguyen et al, 2016], and other changes in particle composition [Kim et al, 2015]. The high global flux of biogenic volatile organic compounds of 1000 Tg yr À1 [Guenther et al, 2012] provides ample precursors that may form bSOA in many regions of the world.…”

Section: Introductionmentioning

confidence: 99%

Observational evidence for pollution‐influenced selective uptake contributing to biogenic secondary organic aerosols in the southeastern U.S.

Liu

Russell

Lee

et al. 2017

Geophysical Research Letters

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During the 2013 Southern Oxidant and Aerosol Study, aerosol mass spectrometer measurements of submicron mass and single particles were taken at Look Rock, Tennessee. Their concentrations increased during multiday stagnation events characterized by low wind, little rain, and increased daytime isoprene emissions. Organic mass (OM) sources were apportioned as 42% “vehicle‐related” and 54% biogenic secondary organic aerosol (bSOA), with the latter including “sulfate‐related bSOA” that correlated to sulfate (r = 0.72) and “nitrate‐related bSOA” that correlated to nitrate (r = 0.65). Single‐particle mass spectra showed three composition types that corresponded to the mass‐based factors with spectra cosine similarity of 0.93 and time series correlations of r > 0.4. The vehicle‐related OM with m/z 44 was correlated to black carbon, “sulfate‐related bSOA” was on particles with high sulfate, and “nitrate‐related bSOA” was on all particles. The similarity of the m/z spectra (cosine similarity = 0.97) and the time series correlation (r = 0.80) of the “sulfate‐related bSOA” to the sulfate‐containing single‐particle type provide evidence for particle composition contributing to selective uptake of isoprene oxidation products onto particles that contain sulfate from power plants.

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“…Less attention has been given to clear sky and cloudy differences in PM 2.5 chemical composition, especially with regards to particle hygroscopicity and water uptake. Aerosol mass concentrations and chemical speciation including aerosol liquid water (ALW) influence AOT (Christiansen et al, 2019;Malm et al, 1994;Nguyen et al, 2016;Pitchford et al, 2007), cloud microphysics, and mesoscale convective systems (Kawecki and Steiner, 2018), including storm morphology and precipitation patterns (Kawecki et al, 2016). Particle chemical composition modulates particle size via water uptake.…”

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confidence: 99%

Differences in Fine Particle Chemical Composition on Clear and Cloudy Days

Christiansen¹,

Carlton²,

Henderson³

2020

Preprint

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Abstract. Clouds are prevalent and alter fine particulate matter (PM2.5) mass and chemical composition. Cloud-affected satellite retrievals are subject to higher uncertainty and are often removed from data products, hindering quantitative estimates of tropospheric chemical composition during cloudy times. We examine surface PM2.5 chemical constituent concentrations in the Interagency Monitoring of PROtected Visual Environments (IMPROVE) network in the United States during Cloudy and Clear Sky times defined using Moderate Resolution Imaging Spectroradiometer (MODIS) cloud flags from 2010-2014 with a focus on differences in particle hygroscopicity and aerosol liquid water (ALW). Cloudy and Clear Sky periods exhibit significant differences in PM2.5 mass and chemical composition that vary regionally and seasonally. In the eastern US, relative humidity alone cannot explain differences in ALW, suggesting emissions and in situ chemistry exert determining impacts. An implicit clear sky bias may hinder efforts to quantitatively understand and improve representation of aerosol-cloud interactions, which remain dominant uncertainties in models.

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Reconciling satellite aerosol optical thickness and surface fine particle mass through aerosol liquid water

Cited by 22 publications

References 88 publications

Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF‐Chem Parameterizations

Sensitivity of Simulated Aerosol Properties Over Eastern North America to WRF‐Chem Parameterizations

Observational evidence for pollution‐influenced selective uptake contributing to biogenic secondary organic aerosols in the southeastern U.S.

Differences in Fine Particle Chemical Composition on Clear and Cloudy Days

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