Optical properties of atmospheric constituents

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Optical properties of atmospheric constituents Direct effects of aerosols optical properties on climate Scattering Aerosols Absorbing Aerosols heat heat heat heat heat Cooling Clouds evaporation Graphics: Yinon Rudich

KRILL PRIZES FOR EXCELLENCE IN SCIENTIFIC RESEARCH Krill Prizes for Excellence in Scientific Research are awarded in Honor and in Memory of BENJAMIN AND GITLA KRILL MANSBACH SHLANGER. Six Krill Prizes, of $10,000 each, are awarded annually, in Exact Sciences, Life Sciences, Medicine, Agriculture and Engineering, to excelling faculty members at the Universities in Israel, who hold the untenured positions of Lecturer, or Senior Lecturer. Recipients are selected by the Wolf Foundation Scholarship Committee, from among outstanding candidates, submitted by all Israeli Universities. The selection is made on the basis of the candidate s excellence and the importance of his or her field of research.

Climatic effects of aerosols: Large uncertainties transport Semi-direct radiative forcing ( Scot Martin)

Optically important Aeroslos in the atmosphere Air molecules l Black carbon aerosols Soil dust aerosols Organic aerosols Aerosols of marine origin H 2 O vista.cira.colostate.edu/improve/education/workshops/westar/malm/partii_malm.ppt

Different approaches to study aerosols OP: 1. Lab (isolated, possibly modified) 2.Inversion of in-situ measurements (no control, hard to isolate specific contributions) Aerosols science is extremely complex due to wide variety of different types and aging effects.

Scattering and absorption cross- sections of aerosols: Bohren and Clothaux, 2006.

Absorption lines are broadened by: Doppler (motion of molecules and source of photons) T Self broadening (consequence of intermolecular forces) T Foreign broadening (interactions with other molecules) pressure, T Expect absorption spectra to vary with Pressure and Temperature in the atmosphere. Bohren and Clothaux, 2006. Note: wavenumber=1/wavelength=ν/c

Effect of size of drops on scattering properties of cloud: From Kopeika, 2002

Example: Mie output for a black carbon aerosol (sensitivity to size for the same composition) vista.cira.colostate.edu/improve/education/workshops/westar/malm/partii_malm.ppt

Light scattering experiment laser dt detectort monitor sample ring From presentation by Volten

Facts and Figures name of sample origin main constituents particle size particle shape refractive index color scattering matrix wavelength article feldspar crushed piece of Feldspar rock from Finland K-feldspar, plagioclase, quartz distributions measured with laser diffraction r ef f =1.0 micrometer, v ef f =1.0 irregular (SEM image) estimated to be in the range: 1.5-1.6 - i0.001-0.00001 light pink to white powder from 5-173 degrees scattering angle 441.6 nm (figure) 632.8 nm (figure) Scattering matrices of mineral particles at 441.6 nm and 632.8 nm. Volten H, Muñoz O, Rol E, de Haan JF, Vassen W, Hovenier JW, Muinonen K, Nousiainen T. Journal of Geophysical Research, 106, 17375-17401,2001 From presentation by Volten

Absorption by dust particles when suspended in water using an integrating sphere: Why did they suspend them in water? Stramski et al. 2007

Cavity ring down spectroscopy: Aerosol coating module 340-400 nm 532 nm From presentation by Y. Rudich

Complex refractive index of single composition aerosol Scattering only Strongly absorbing aerosol 5 4 B iency (Q e ) 4 3 iency 3 Ex xtinction effici 2 1 0 n = 1518+i0002 1.518 0.002 (NH 4 ) 2 SO 4 (532nm) (NH 4 ) 2 SO 4 (390nm) 0 1 2 3 4 5 6 Size parameter (α ) Extinction effici 2 1 0 532 nm n=1.67 + i0.26 - Garvey and Pinnick n=1.65 + i0.24 - our result 0 1 2 3 4 5 6 Size parameter Abo Riziq, ACP 2006 Dinar, Faraday Discuss. 2008 α= πd/ λ Retrieval by Mie (λ d) calculation no a-priori assumption of refractive index From presentation by Y. Rudich

Angstrom exponent of HULIS samples: 3 to 5 0 Pollution K-Puszta Smoke log(absorb bance) -1-2 Fit from 200 nm to 400 nm Angstom Exponents: Pollution: 4.382 +/- 0.034 K-Puszta: 5.342 +/- 0.061 Smoke: 3.544 +/- 0.020-3 2.2 2.4 2.6 log(wavelength/nm) High spectral dependence. Hoffer et. al. measured Å=7 (BB HULIS), Kirchstetter measured Å=2.5 (OC extracts) From presentation by Y. Rudich

Shape effects on the phase function:

More on aerosols: variation in size, shape and composition: vista.cira.colostate.edu/improve/education/workshops/westar/malm/partii_malm.ppt

Mass (hence size) distribution of atmospheric particles: vista.cira.colostate.edu/improve/education/workshops/westar/malm/partii_malm.ppt

How relative humidity change optical properties of soluble substances soluble organic material and sea salt At low relative humidity, organic soluble material has less single scattering albedo,and higher Qext for shorter wavelengths At high relative humidity organic soluble material have At high relative humidity, organic soluble material have higher volume and more material is dissolved, therefore its properties change.

Continental Common Aerosols Olga Sima and Ran Vardimon (taken from OPAC ) Continental and urban aerosol mixtures consist of 3 main aerosol types: Water soluble (~60%) sulfates, nitrates and other organic substances insoluble (~40%) mostly soil particles with a certain amount of organic material soot (<1%) well, soot (absorbing black carbon) We compared the attenuation coefficients (normalized per concentration): Rmod = 0.03 µm Rmod = 0.5 µm Rmod = 0.01 µm Insoluble particles attenuation is dominant! All three aerosol types have lognormal size distributions. Soot (black) has higher absorption coefficient (> scattering). Method: Mie modeling based on microphysical data.

Inverse approaches: Sunlight changes as it is going through the atmosphere. Observing the sun directly at specific wavelength provides for atmospheric integrated optical depth concentration (e.g. water vapor). Calculations from remote sensing involve two atmospheric passages. No vertical distribution information. From Kopeika, 2002

AERONET (AErosol RObotic NETwork): AOD: Sun photometer measurements of the direct (collimated) solar radiation provide information to calculate the columnar aerosol optical depth (AOD). AOD can be used to compute columnar water vapor (Precipitable it Water) and estimate t the aerosol size using the Angstrom parameter relationship.

Effect of absorption on transmission: From Kopeika, 2002 Plot from GEOG-1425 class notes, Katherine Kink, University of Minnesota. Note inverted x-scale.

Almucantar (circle on the celestial sphere parallel to the horizon) measurements: Measurements of cloud free day angular distribution of sky radiance + AOD + RT calculations l are used to obtain: Particulate size distribution Index of refraction (real and imaginary) Spectral single scattering albedo Requires consideration of three main components: 1. Gaseous absorption (avoided by choice of λ, and use of climatologies). 2. Molecular scattering (calculated for given Pressure). 3. Aerosol absorption and scattering. Use libraries of single particles optical properties (Mie or other) Needs: RT model Optimum inversion scheme Minor (ignored) components: ground albedo, stratification

α - Angstrom Exponent at 440 and 870 nm; n - index of refraction

Biomass-Burning Burning Aerosols* Biomass-burning in Zambia (savanna) during the dry season (Aug.-Sep.) of 1997 Measurement done with AERONET SSA (ω 0 ) = 0.82 0.85 (at 550nm) * Eck et al (2001), J.G.R., 106, 3425-3448

Size Distribution

Single Scattering Albedo

Emission spectra is also affected by aerosols: From Kopeika, 2002

Conclusions 1. Atmospheric OP are complex 2. Creative approaches provide possibility to retrieve AOPs from routine observations. 3. Need for validation (laboratory work is critical). 4. Much work is left for the next generation to tease out (e.g. anomalous absorption, absorption by clouds).