Seasonal comparisons of GEOS-Chem-TOMAS (GCT) simulations with AERONET-inversion retrievals over sites in the North American and European Arctic

Fetouh, Y. AboEl; O’Neill, N. T.; Kodros, John K.; Pierce, Jeffrey R.; Lu, Hui; Ranjbar, Keyvan; Xian, Peng

doi:10.1016/j.atmosenv.2021.118852

Cited by 4 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The spatial distributions and magnitudes of climatological and seasonal AOD averages and their trends for 2003-2019 are also consistent with those derived from MODIS, MISR, and the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) (Part 1). NAAPS-RA is also shown to be able to capture biomass burning smoke transport events into the polar regions in various case studies (e.g., Markowicz et al, 2016Markowicz et al, , 2017Khan et al, 2017Khan et al, , 2018Khan et al, , 2019Ranjbar et al, 2019;AboEl-Fetouh et al, 2022).…”

Section: Naaps Aod Reanalysis V1mentioning

confidence: 99%

Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes

et al. 2022

Self Cite

View full text Add to dashboard Cite

Abstract. In a companion paper (Xian et al., 2022, part 1 of the study), we present an Arctic aerosol optical depth (AOD) climatology and trend analysis for 2003–2019 spring and summertime periods derived from a combination of aerosol reanalyses, remote-sensing retrievals, and ground observations. Continued from the previous discussion and as the second part of the study, we report the statistics and trends of Arctic AOD extreme events using the U.S. Navy Aerosol Analysis and Prediction System ReAnalysis version 1 (NAAPS-RA v1), the sun photometer data from the AErosol RObotic NETwork (AERONET) sites, and the oceanic Maritime Aerosol Network (MAN) measurements. Here, extreme AOD events are defined as events with AOD exceeding the 95th percentile (denoted “AOD95”) of AOD distributions for given locations using 6-hourly or daily AOD data. While AERONET and MAN data estimate the Arctic median 550 nm AOD value to be 0.07, the 95th percentile value is 0.24. Such extreme events are dominated by fine-mode aerosol particles, largely attributable to biomass burning (BB) smoke events for the North American Arctic, the Asian Arctic, and most areas of the Arctic Ocean. However, extreme AOD events for the lower European Arctic are more attributable to anthropogenic and biogenic fine particles. The extreme-event occurrence dominance of sea salt is largely limited to the North Atlantic and Norwegian Sea. The extreme AOD amplitudes of anthropogenic and biogenic fine-mode and sea salt AOD are, however, significantly lower than those regions where extreme smoke AOD is dominant. Even for sites distant from BB source regions, BB smoke is the principal driver of AOD variation above the AOD95 threshold. Maximum AOD values in the high Arctic in 2010–2019 have increased compared to 2003–2009, indicating stronger extreme BB smoke influence in more recent years. The occurrence of extreme smoke events tended to be more equally distributed over all months (April–August) during the 2003–2009 period while being more concentrated in the late season (July–August) during the 2010–2019 period. The temporal shift of the occurrence of AOD extreme events is likely due to improved control of early-season agriculture burning, climate-change-related increases in summertime lightning frequencies, and a reduction in anthropogenic pollution over the 2010–2019 period.

show abstract

Section: Naaps Aod Reanalysis V1mentioning

confidence: 99%

Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…This equation well represents the variation of Reff during the aircraft campaigns with an R 2 of 0.74 (Figure B1, top left). The slope below unity (0.90) likely reflects the effect of coarse model resolution, which dilutes the particle or precursor concentration in turn reducing condensation and coagulation growth (AboEl-Fetouh et al, 2022;Ramnarine et al, 2019;Sakamoto et al, 2016). Adjustment to this parameterization to account for these effects and align the slope with the airborne measurements rather than the model results in a final parameterization of…”

Section: Parameterization and Evaluationmentioning

confidence: 99%

Parameterization of Size of Organic and Secondary Inorganic Aerosol for Efficient Representation of Global Aerosol Optical Properties

Zhu

Martin

Croft

et al. 2022

Preprint

View full text Add to dashboard Cite

Abstract. Accurate representation of aerosol optical properties is essential for modeling and remote sensing of atmospheric aerosols. Although aerosol optical properties are strongly dependent upon the aerosol size distribution, use of detailed aerosol microphysics schemes in global atmospheric models is inhibited by associated computational demands. Computationally efficient parameterizations for aerosol size are needed. In this study, airborne measurements over the United States (DISCOVER-AQ) and South Korea (KORUS-AQ) are interpreted with a global chemical transport model (GEOS-Chem) to investigate the variation in aerosol size when organic matter (OM) and sulfate-nitrate-ammonium (SNA) are the dominant aerosol components. The airborne measurements exhibit a strong correlation (r = 0.83) between dry aerosol size and the sum of OM and SNA mass concentration (MSNAOM). A global microphysical simulation (GEOS-Chem-TOMAS) indicates that MSNAOM, and the ratio between the two components are the major indicators for SNA and OM dry aerosol size. A parameterization of dry effective radius (Reff) for SNA and OM aerosol is proposed, which well represents the airborne measurements (R2 = 0.74, slope = 1.00) and the GEOS-Chem-TOMAS simulation (R2 = 0.72, slope = 0.81). When applied in the GEOS-Chem high-performance model, this parameterization improves the agreement between the simulated aerosol optical depth (AOD) and the ground-measured AOD from the Aerosol Robotic Network (AERONET; R2 from 0.68 to 0.73, slope from 0.75 to 0.96). Thus, this parameterization offers a computationally efficient method to represent aerosol size dynamically.

show abstract

Predictive modeling of atmospheric nuclear fallout microphysics

McGuffin,

Lucas,

Balboni

et al. 2024

Science of The Total Environment

View full text Add to dashboard Cite

Seasonal comparisons of GEOS-Chem-TOMAS (GCT) simulations with AERONET-inversion retrievals over sites in the North American and European Arctic

Cited by 4 publications

References 27 publications

Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes

Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses – Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes

Parameterization of Size of Organic and Secondary Inorganic Aerosol for Efficient Representation of Global Aerosol Optical Properties

Predictive modeling of atmospheric nuclear fallout microphysics

Contact Info

Product

Resources

About