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1 edition of Improved aerosol optical depth and particle size index from satellite detected radiance found in the catalog.

Improved aerosol optical depth and particle size index from satellite detected radiance

Brian Herbert Miller

Improved aerosol optical depth and particle size index from satellite detected radiance

by Brian Herbert Miller

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Published by Naval Postgraduate School, Available from National Technical Information Service in Monterey, Calif, Springfield, Va .
Written in English


Edition Notes

ContributionsDurkee, Philip A.
The Physical Object
Pagination49 p. ;
Number of Pages49
ID Numbers
Open LibraryOL25461690M

angular distribution of sky radiance. The optical depth is a very valuable aerosol characteristic, which is a key parameter for various aerosol-related studies, such as aerosol radiative forcing, atmospheric corrections of the aerosol effect on remote sensing, etc. [Kaufman et al., ]. The quality of optical depth data from the ground. Particle Size (3 Bins) AOD AAOD Aerosol Index AOD Aerosol Type Product Resolution (level 2 and at Nadir) 10 Km 3 Km Km 13 X 24 Km km 6 km Product Levels 2 2 2 2 Global Level 3 Aggregates Daily 8 Day 30 Day Monthly 3 Month Annual Daily Monthly Daily Monthly.

distribution of sky radiance. The optical depth is a very valuable aerosol characteristic, which is a key pa-rameter for various aerosol related studies such as aerosol radiative forcing, atmos-pheric corrections on aerosol effect on remote sensing, etc. [Kaufman et al., ]. The quality of optical depth data from the ground mainly depends on. Aerosols influence the Earth radiative budget through scattering and absorption of solar radiation. Several methods are used to investigate aerosol properties and thus quantify their direct and indirect impacts on climate. At the Puy de Dôme station, continuous high-altitude near-surface in situ measurements and low-altitude ground-based remote sensing atmospheric column measurements give the.

Figure Production, growth, and removal of atmospheric aerosols. Figure illustrates the different processes involved in the production, growth, and eventual removal of atmospheric aerosol particles. Gas molecules are typically in the mm size range. Clustering of gas molecules (nucleation) produces ultrafine aerosols in the mm size range. Observation-Based Study on Aerosol Optical Depth and Particle Size in Partly Cloudy Regions T. Várnai1,2, A. Marshak2, and T. F. Eck3,4 1Joint Center for Earth System Technology, University of Maryland, Baltimore County, Baltimore, MD, USA, 2Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA, 3Universities Space Research Association.


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Improved aerosol optical depth and particle size index from satellite detected radiance by Brian Herbert Miller Download PDF EPUB FB2

The key quantity they report is aerosol optical depth (AOD), a measure of the amount of light that aerosols scatter and absorb in the atmosphere (and generally prevent from reaching the surface).

An optical depth of less than indicates a clear sky with relatively few aerosols and maximum visibility, whereas a value of 1 indicates hazy Cited by: 1. Satellite measurements of aerosols, called aerosol optical thickness, are based on the fact that the particles change the way the atmosphere reflects and absorbs visible and infrared light.

An optical thickness of less than (palest yellow) indicates a crystal clear sky with maximum visibility, whereas a value of 1 (reddish brown) indicates. Aerosol remote sensing (e.g., Kaufman et al. ) differs from cloud remote sensing in that aerosol optical depths and particle sizes tend to be an order of magnitude smaller than their cloud counterparts.

Unlike water or ice particles, aerosols also do not exhibit the well-defined absorption bands that provide information on particle size. Satellite remote sensing provides data on aerosol optical depth (AOD), a measure of light extinction by atmospheric aerosols (i.e., light scattering and absorption).

AOD values reflect particle abundance in the atmospheric column, and thus they have been used in statistical models to predict ground-level PM concentrations (Engel-Cox et al Cited by: First, section 2 examines the relationship between cloud fraction and aerosol optical depth, then section 3 examines cloud‐related variations in aerosol particle size.

Finally, section 4 provides a brief summary. 2 Relationship Between Cloud Fraction and Aerosol Optical Depth. 17, TORRES ET AL.: AEROSOL PROPERTIES FROM SPACE BUV MEASUREMENTS Table 1. Particle Size Distribution Parameters and Optical Properties of Aerosol Models Used in This Study Parameters Aerosol Refractive Model r0(/x) o' Index S1 i Aerosol optical depth (˝a) measurements that are comple-mented with angular radiance measurements are routinely used by the scientific community to infer the microphysi-cal and optical properties of atmospheric aerosols (e.g.

the AErosol RObotic NETwork or AERONET). The availabil-ity of suitable ˝a measurements far exceeds the availabil. ), aerosol optical depth (AOD), and accumulation mode size, but greater variability in particle number concentration.

Comparisons of the airborne measurements with remotely sensed aerosol parameters, such as 0 and effective particle radius (r eff), derived from the Multiangle Imaging Spectroradiometer (MISR) aboard the Terra satellite.

Fig. Flow chart of this new algorithm for estimating aerosol optical depth from MODIS data. Fig. The observed aerosol optical depths at nm (τ ) from AERONET located at the NASA Goddard Space Flight Center during the last 3years (–) with Terra and Aqua overpasses.

Dashed lines represent aerosol optical depth equals As such, there is a need to develop methods in aerosol species identification using satellite data. In this study, a 2D-space model suitable for MODIS AOD bands is developed to distinguish aerosol particle species based on aerosol optical depth (AOD) and aerosol relative optical depth (AROD).

Based on these measurements, a monthly-mean stratospheric aerosol climatology of optical depth and particle size with 4° × 5° horizontal and 5 km vertical resolution has been developed for GCM use (Hansen et al., NATO ASI Series, I42,).

The connection between the aerosol optical depth and the concentrations of the primary and secondary aerosols was investigated separately. As previous studies have shown, the dominant chemical fraction in the optically active size range (–1 μm) is composed of ammonium sulfate particles (Molnár and Mészáros,Temesi et al., ).

Some Useful Formulae for Aerosol Size Distributions and Optical Properties 1 Describing Aerosol Size A complete description of an ensemble of particles would describe the com-position and geometry of each particle. Such an approach for atmospheric aerosols whose concentrations can be ∼ 10, particles per cm3 is imprac-ticable in most cases.

Optical properties for size distribution ext sc + abs, and they have the units of inverse length. Knowing the particle density we can calculate the mass extinction coefficient ext=ext/p Where p is the mass density [kg/m3] Important to remember: Mie theory is used when size parameter x is about 1 (particle about the same size as the wavelength).

"Aerosol Optical Thickness is the degree to which aerosols prevent the transmission of light" in the atmoshpere. 1 "An aerosol optical thickness of less than indicates a crystal clear sky with maximum visibility, whereas a value of 4 indicates the presence of aerosols so dense that people would have difficulty seeing the Sun, even at mid-day!" 2 The data are acquired by the MODIS sensor.

Five Aerosol Robotic Network sites that provided aerosol optical depth (AOD) data for are shown as red triangles. Satellite data were regridded to the GEOS‐Chem grid points. Distribution of AOD at nm and composition of aerosols across the six regions over India simulated by the model (using SMOG emission inventory) are shown in the.

Aerosol particles of natural origin (such as windblown dust) tend to have a larger radius than human-produced aerosols such as particle pollution.

These false-color maps show where there are natural aerosols, human pollution, or a mixture of both on a monthly basis. Nowadays, aerosol particles are detected, quantified and monitored by remote sensing techniques using low Earth orbit (LEO) and geostationary (GEO) satellites.

In the present article, the use of satellite-derived AOD (aerosol optical depth) products is investigated in order to quantify on a daily basis the ARF at the surface level (SARF). depends on accurate retrieval of aerosol optical prop-erties from remote sensors.

Determination of aerosol optical properties is normally limited to clear-air re-gions, with cloud-masking algorithms (e.g., Higurashi and Nakajima ; Martins et al. ; Hutchison et al. ) used to distinguish clear from cloudy pixels in satellite images. There are two days with a minimum of the optical depth, 22 July and 5 August.

The aerosol size distribution is shown in Figs 2 and 3. The increase of the optical depth from the 22nd to the 24th corresponds with an increase of the maximum of the aerosol size. These properties effectively characterize or model the atmosphere according to aerosol type, aerosol optical density, particle size distribution, aerosol mass concentration, and related optical properties.

24 – 26 These data products contain information on the ambient aerosol optical density of air mass over any area of the earth and are.1 Observation -based study on aerosol optical depth and particle size in partly cloudy 2 regions 3 T. Várnai1,2, A, Marshak2, and T.

F. Eck3,4 4 1Joint Center for Earth System Technology, University of Maryland Baltimore County. 5 2Climate and Radiation Laboratory, NASA Goddard Space Flight Center. 6 3Universities Space Research Association.

7 4Biospheric Sciences Laboratory, NASA Goddard.Gain a basic understanding of aerosol optical depth 2. Gain knowledge of and ability to access available aerosol Particle Size (3 Bins) AOD AAOD Aerosol Index AOD Aerosol Type Product Resolution (level 2 and at Nadir) 10 Km 3 Km Radiance to Aerosol .