Search Results

You are looking at 1 - 10 of 1,388 items for :

  • Aerosols/particulates x
  • Refine by Access: All Content x
Clear All
Stuart A. Young and Mark A. Vaughan

level 2 data products from the lidar are the locations of atmospheric regions containing particulate matter (clouds and aerosols), the identification of these particles according to type, and profiles and layer integrals of particulate backscatter and extinction in these regions. This paper focuses on the fully automated retrieval of profiles of particulate backscatter and extinction. Note that the level 2 algorithms covered here are applied to measurements made by a single instrument (CALIOP

Full access
Nae-Gang Heo, Jun-Hyung Lim, Jae-Won Lee, Joon-Soo Lee, Se-Jin Yook, and Kang-Ho Ahn

), a honeycomb section, a contraction section, a downstream section (i.e., a test chamber section), and a sirocco fan. The cross-sectional areas of the upstream and test sections were 600 mm × 600 mm and 120 mm × 120 mm, respectively. Particle-free airflow was induced into the wind tunnel by installing a high-efficiency particulate air (HEPA) filter with a cross-sectional area of 600 mm × 600 mm at the inlet of the upstream section. The Arizona Test Dust A4 was aerosolized by using a solid aerosol

Full access
Amy K. Huff, Shobha Kondragunta, Hai Zhang, Istvan Laszlo, Mi Zhou, Vanessa Caicedo, Ruben Delgado, and Robert Levy

1. Introduction Wildfires and prescribed fires release large amounts of smoke aerosols into the atmosphere ( Wiedinmyer et al. 2006 ; Akagi et al. 2011 ; Koplitz et al. 2018 ), which can degrade fine particulate matter (PM 2.5 ) air quality and cause adverse health effects ( Sapkota et al. 2005 ; Rappold et al. 2011 ; Johnston et al. 2012 ). In particular, prescribed fires, which are controlled burns to support land management, have been shown to be substantial sources of PM 2.5 emissions

Full access
Ansar Khan, Samiran Khorat, Rupali Khatun, Quang-Van Doan, U. S. Nair, and Dev Niyogi

values greater than 0.500 (boldface type) were set as the selection threshold. The VF1 contributes about 31.44% of the air pollutant data variation in the case of the prelockdown period. It has high loadings from three variables: PM 2.5 (0.844), PM 10 (0.891), and NH 3 (0.746). This factor can be interpreted as a measure of primary and secondary pollutants. As a secondary particulate precursor, NH 3 also contributes to the formation of particulate aerosols in the atmosphere. The VF1 highlights

Full access
Armand Neukermans, Gary Cooper, Jack Foster, Lee Galbraith, and Sudhanshu Jain

necessary scale. Among the various forms of SRM, stratospheric aerosol injection (SAI) is considered the mechanism to most reliably cool the climate, and as such has been the focus of much SRM research to date ( National Academies of Sciences, Engineering, and Medicine 2021 ). The focus on SAI stems in part because of the observational evidence for the climatic cooling effect created by sulfur-based particles that has followed past major volcanic eruptions ( Robock 2000 ). For SAI, both sulfate based

Open access
Jarred L. Burley, Steven T. Fiorino, Brannon J. Elmore, and Jaclyn E. Schmidt

constant aerosol concentration through the lowest 1250 m are shown by dashed lines. LEEDR-modeled absorption and scattering effects for the same vertical path and boundary layer aerosol concentration but applying an observed Dayton, Ohio, summer atmosphere at 1400 eastern daylight time 25 Jul 13 are shown with solid lines ( Fiorino et al. 2015 ). Coupling the boundary layer effects on atmospheric particulates (aerosols and hydrometeors) is accomplished internally within LEEDR. Molecular absorption

Open access
Seungkyu K. Hong, Sang-Boom Ryoo, Jinwon Kim, and Sang-Sam Lee

Meteorological Administration (KMA) employs the Asian Dust Aerosol Model 2 (ADAM2) ( In and Park 2003 ; Park et al. 2010 ; Park and In 2003 ) to forecast Asian dust events. The model has been used in various Asian dust studies: simulation of dry deposition of Asian dusts in EA ( Park et al. 2011 ; Lee et al. 2005 ), the effects of particulate matter (PM) assimilation on Asian dust forecasting ( Lee et al. 2013a ), and intercomparison of Asian dust simulations using ADAM2 and Lagrangian models ( Kim and

Open access
Brittany N. Carson-Marquis, Jianglong Zhang, Peng Xian, Jeffrey S. Reid, and Jared W. Marquis

aerosols . J. Geophys. Res. , 104 , 31 333 – 31 349 , . 10.1029/1999JD900923 Fast , J. D. , W. I. Gustafson Jr ., R. C. Easter , R. A. Zaveri , J. C. Barnard , E. G. Chapman , G. A. Grell , and S. E. Peckham , 2006 : Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology-chemistry-aerosol model . J. Geophys. Res. , 111 , D21305 ,

Open access
Shin-Young Park and Cheol-Hee Kim

-range transport (LRT; 25–28 May). A detailed description in this regard is provided in section 3b . To verify the aerosol simulated using WRF-Chem, we also employed nonrefractory fine particle PM 1 (particulate matter with an aerodynamic diameter of ≤ 1 μ m) mass concentration, aerosol particle [i.e., condensation nuclei (CN)] number concentration greater than 10 nm in diameter ( D > 10 nm), and CCN at 0.6% supersaturation (SS) as aerosol-related parameters measured from the DC-8 aircraft during the KORUS

Full access
Mary K. Butwin, Sibylle von Löwis, Melissa A. Pfeffer, Pavla Dagsson-Waldhauserova, Johann Thorsson, and Throstur Thorsteinsson

.1002/2016RG000518 Butwin , M. K. , S. von Löwis , M. A. Pfeffer , and T. Thorsteinsson , 2019 : The effects of volcanic eruptions on the frequency of particulate matter suspension events in Iceland . J. Aerosol Sci. , 128 , 99 – 113 , . 10.1016/j.jaerosci.2018.12.004 Butwin , M. K. , Pfeffer , M. A. , von Löwis , S. , Støren , E. W. N. , Bali , E. , Thorsteinsson , T. , 2020 : Properties of dust source material and volcanic ash in

Free access