List of <strong>Abstracts</strong> 89We have previously developed a retrieval algorithm to obtain cloud size and composition information fromACE-FTS solar occultation measurements. These measurements, however, cannot resolve the horizontallocations of the clouds, whereas nadir observation can do this. Consequently, we are modifying the ACEretrieval codes for application to nadir measurements. The basic algorithm involves the comparison of themeasured spectrum with a library of monodisperse aerosol spectra and extracting the size distribution using aconstrained least squares procedure. The development of the nadir retrieval algorithm thus requires that wecalculate the angular scattering intensities as a function of solar zenith angle, wavelength, and aerosolproperties; create a library of cloud reference spectra from these calculations and develop methods to reduceor account for the gas phase interferences and the noise from surface reflections. In this presentation, we willdiscuss our approach to the above concepts and report our progress and preliminary results obtained duringthese developments.P-Observations 1.8 ID:4387 15:35UV Aerosol Indices from the satellite-borne SCIAMACHY instrument: AAI, SCI, and cloudUVAIMarloes Penning De Vries, Thomas WagnerMax Planck Institute for ChemistryContact: marloes.penningdevries@mpic.deThe Absorbing Aerosol Index (AAI) is known as a semi-quantitative indicator of UV-absorbing aerosols.AAI is essentially a measure of the contrast of a scene in the UV range, and as such is not very sensitive tosurface type. Another advantage of AAI is that – in contrast to most other satellite aerosol retrievals – it canbe determined in the presence of clouds (but for quantitative interpretation, the cloud effects need to becorrected). Recently, we introduced a counterpart to AAI: the SCattering Index (SCI). Whereas AAI is mostsensitive to elevated layers of UV-absorbing aerosols, SCI can be used to detect aerosols that do not orbarely absorb UV radiation (“scattering” aerosols). Low-altitude layers of absorbing aerosols, to which AAIis blind, can also be seen by SCI. Although AAI and SCI (together: UV Aerosol Indices, or UVAI) can bedetermined in the presence of clouds, the effect of clouds on UVAI can be substantial. High clouds mayshield aerosols from view of the satellite and low clouds may cause an increase in apparent surface albedo,leading to an increase of UVAI. A third, often overlooked effect is the own contribution of clouds to UVAI.This effect can be as large as 2 SCI units, and depends mainly on cloud fraction and cloud optical thickness.We have modeled the contributions of clouds to UVAI – the cloudUVAI – and used them to correctmeasured UVAI from SCIAMACHY for the effects of clouds. We will present modeling studies of AAI,SCI and cloudUVAI, and corroborate our findings with measurements from SCIAMACHY. The goodagreement between temporal and spatial patterns of measured UVAI on the one hand, and cloudUVAI thatwere modeled based on simultaneously measured cloud properties on the other hand, will be presented. In afinal step, SCIAMACHY UVAI data will be shown that were corrected with (modeled) cloudUVAI so thatonly UVAI caused by aerosols remain.P-Observations 1.9 ID:4611 15:35Global Estimates of Ambient Fine Particulate Matter Concentrations from Satellite-Based AerosolOptical Depth: Development and ApplicationAaron Van Donkelaar 1 , Randall Martin 2 , Michael Brauer 3 , Ralph Kahn 4 , Robert Levy 4 , CarolynVerduzco 1 , Paul Villeneuve 51 Department of Physics and Atmospheric Science, Dalhousie University, Halifax, Nova Scotia, Canada2 Dalhousie U and Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, USA3 School of Environmental Health, University of British Columbia, British Columbia, Canada4 NASA Goddard Space Flight Center, Greenbelt, Maryland, USA5 Dalla Lana School of Public Health, U of Toronto and Population Studies Division, Health CanadaiCACGP-<strong>IGAC</strong> 2010 12 July, 2010
List of <strong>Abstracts</strong> 90Contact: Aaron.van.Donkelaar@dal.caLong term exposure to PM 2.5 (fine aerosol with diameter < 2.5 µm) negatively affects human health, yetground-based monitoring is sparse throughout much of the world. We develop a high-resolution (0.1º x 0.1º)global climatology of PM 2.5 for 2001-2006 by combining Aerosol Optical Depth (AOD) from two satelliteinstruments (MODIS and MISR) with aerosol properties from the GEOS-Chem chemical transport model.We find significant agreement with coincident North American PM 2.5 measurements (r=0.77, slope=1.07,n=1057) and non-coincident global measurements (r=0.83, slope=0.86, n=244). Satellite-derived PM 2.5estimates over eastern North America and western Europe are between 10-20 µg/m 3 . Parts of northern Indiaand eastern China are found to have annual mean PM 2.5 concentrations of 35-60 µg/m 3 and 80-100 µg/m 3 ,respectively, with 35% of the Asian population exposure exceeding the WHO Interim Target 1 of 35 µg/m 3 .P-Observations 1.10 ID:4153 15:35Physical and chemical properties of biogenic aerosols from AmazoniaPaulo Artaxo 1 , Luciana Rizzo 1 , Kenia Wiedemann 1 , Erik Swietlicki 2 , Pontus Roldin 2 , Stefania Gilardoni 3 ,Andréa Arana 4 , Meinrat Andreae 5 , Scot Martin 6 , Alfred Wiedensohler 71 Institute of Physics, University of Sao Paulo, Brazil2 University of Lund, Lund, Sweden3 Institute for Environment and Sustainability, JRC, Ispra, Italy4 INPA – Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil5 Max Planck Institute for Chemistry, Mainz, Germany6 Harvard University, Cambridge, MA, USA7 Leibniz-Institute for Tropospheric Research, GermanyContact: artaxo@if.usp.brThe Amazon basin with more than six million square kilometers contains the world’s largest tropical rainforest, and investigations of aerosol characteristics in this large area are important for the understanding ofthe local and global influence of Amazonia on radiation budget and cloud formation. For the first time inAmazonia, a ground based long-term observations of aerosol properties were performed. The measurementswere done at the Cuieiras forest reserve, 60 km NNW of Manaus in Central Amazonia. The site is relativelyundisturbed, as the prevailing trade winds blow over vast expanses of intact tropical forest before reachingthe measurement tower. Inlet lines run from the measurement level (45m, ~10 m above tree height) to aground-based lab. A specially designed inlet allows collection of dry aerosol (20-40% RH) with a size cut of3.5 um. Several measurements are being done: optical scattering (Nephelometer TSI 3665) and absorption(Thermo MAAP 5012), size distribution (SMPS TSI, and Lund DMPS), optical particle size distribution(OPC Lasair II), total particle concentration (CPC 3010 TSI), aerosol mass (TEOM), composition (SFU)among other properties. Trace gases measurements, including O3, CO2 and CH4, were performed as well.Aerosol concentration and properties shows strong seasonal variability. For the wet season, in terms ofaerosol mass, PM2.5 is about 2.4 ug/m³, while coarse mode particles (PM10-PM2.5) is 7.5 ug/m³. Organicaerosol dominates with 70-80% of aerosol mass. In the wet season, 550 nm light scattering is very low, withan average of 4 Mm-¹. Black Carbon concentration varies from 50 to 150 ng/m³ at 550 nm. Total aerosolparticle counts varies between 100 to 300, with a peak mode in the size distribution at about 120 nm. Veryfew nucleation events were observed. The Aitken mode has been present in most of observed aerosol sizedistributions, suggesting that new particle formation may be occurring somewhere else above or below thecanopy. Aerosol volume size distributions were derived from measured number size distributions assumingspherical particles. Coarse mode particles, possibly from biogenic origin, dominate the volume size spectra,either at dry or wet season. At the dry season, PM10 aerosol mass can reach 30-50 ug/m³, with black carbonat about 400-2000 ng/m³ due to biomass burning. All parameters increase by factor of 5 to 10. Singlescattering albedo varies between 0.85 to 0.95, with lower values observed at the wet season. Coarse modeiCACGP-<strong>IGAC</strong> 2010 12 July, 2010
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List of Authors 237Beck, Veronica .
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List of Authors 251Van Donkelaar, A