Retrieval of aerosol mass load (PM&amp;lt;sub&amp;gt;10&amp;lt;/sub&amp;gt;) from MERIS/Envisat top of atmosphere spectral reflectance measurements over Germany

Rohen, G.; Hoyningen‐Huene, W. von; Kokhanovsky, Alexander A.; Dinter, Tilman; Vountas, Marco; Burrows, J. P.

doi:10.5194/amt-4-523-2011

Cited by 16 publications

(8 citation statements)

References 53 publications

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“…One important task carried out in aerosol studies in the last years has been the development of a method for monitoring surface aerosol levels (generally accomplished by air quality networks) by means of remote sensing data, such as the AOD data provided by satellite sensors (e.g., Liu et al, 2004;Kacenelenbogen et al, 2006;Rohen et al, 2011). A theoretical background supports this analysis between AOD and PM 10 quantities (for further details see Bennouna et al, 2016).…”

Section: Relationships Of Columnar and Surface Quantities: Pm 10 -Aodmentioning

confidence: 99%

Aerosol properties of mineral dust and its mixtures in a regional background of north-central Iberian Peninsula

Burgos

Mateos

Cachorro

et al. 2016

Science of The Total Environment

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To broaden the knowledge about desert dust (DD) aerosols in western Mediterranean Basin, their fingerprints on optical and microphysical properties are analyzed during DD episodes in the north-central plateau of the Iberian Peninsula between 2003 and 2014. Aerosol columnar properties obtained from the AErosol RObotic NETwork (AERONET), such as aerosol optical depth (AOD), Ångström exponent (AE), volume particle size distribution, volume concentration (VC), sphericity, single scattering albedo, among others, are analyzed in order to provide a general characterization, being some of them compared to particle mass surface concentrations PM, PM, and their ratio, data obtained from EMEP network. The mean intensity of DD episodes exhibits: AOD=0.27±0.12, PM=24±18μg/m, AE=0.94±0.40 and PM/PM=0.54±0.16. The AOD and PM annual cycles show maximum intensity in March and summer and minima in winter. A customized threshold of AE=1 distinguishes two types of dusty days, those with a prevailing desert character and those of mixed type, which is corroborated by sphericity values. Three well established intervals are obtained with the fine mode volume fraction (VC/VC). Coarse-mode-dominated cases (VC/VC≤0.2) present a mineral dust character: e.g., particle maximum concentration about 2μm, non-sphericity, stronger absorption power at shorter wavelengths, among others. The relevance of the fine mode is noticeable in mixtures with a predominance of particles about 0.2-0.3μm radii. Conditions characterized by 0.2

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Section: Relationships Of Columnar and Surface Quantities: Pm 10 -Aodmentioning

confidence: 99%

Aerosol properties of mineral dust and its mixtures in a regional background of north-central Iberian Peninsula

Burgos

Mateos

Cachorro

et al. 2016

Science of The Total Environment

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“…von Hoyningen-Huene et al, 2006Glantz et al, 2009a,b). Hence, this algorithm has a good development potential for urban air-quality studies Glantz et al, 2009a;Rohen et al, 2011). For example, by using the full-resolution MERIS data (∼ 300 m), it seems that the satellite retrievals can resolve the increased aerosol concentrations along the main highways close to the city of Stockholm (Glantz et al, 2009a).…”

Section: Introductionmentioning

confidence: 99%

Assessment of two aerosol optical thickness retrieval algorithms applied to MODIS Aqua and Terra measurements in Europe

Glantz

Tesche

2012

Atmos. Meas. Tech.

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Abstract. The aim of the present study is to validate AOT (aerosol optical thickness) andÅngström exponent (α), obtained from MODIS (MODerate resolution Imaging Spectroradiometer) Aqua and Terra calibrated level 1 data (1 km horizontal resolution at ground) with the SAER (Satellite AErosol Retrieval) algorithm and with MODIS Collection 5 (c005) standard product retrievals (10 km horizontal resolution), against AERONET (AErosol RObotic NETwork) sun photometer observations over land surfaces in Europe. An inter-comparison of AOT at 0.469 nm obtained with the two algorithms has also been performed. The time periods investigated were chosen to enable a validation of the findings of the two algorithms for a maximal possible variation in sun elevation. The satellite retrievals were also performed with a significant variation in the satellite-viewing geometry, since Aqua and Terra passed the investigation area twice a day for several of the cases analyzed. The validation with AERONET shows that the AOT at 0.469 and 0.555 nm obtained with MODIS c005 is within the expected uncertainty of one standard deviation of the MODIS c005 retrievals ( AOT = ± 0.05 ± 0.15 · AOT). The AOT at 0.443 nm retrieved with SAER, but with a much finer spatial resolution, also agreed reasonably well with AERONET measurements. The majority of the SAER AOT values are within the MODIS c005 expected uncertainty range, although somewhat larger average absolute deviation occurs compared to the results obtained with the MODIS c005 algorithm. The discrepancy between AOT from SAER and AERONET is, however, substantially larger for the wavelength 488 nm. This means that the values are, to a larger extent, outside of the expected MODIS uncertainty range. In addition, both satellite retrieval algorithms are unable to estimate α accurately, although the MODIS c005 algorithm performs better. Based on the inter-comparison of the SAER and MODIS c005 algorithms, it was found that SAER on the whole is able to obtain results within the expected uncertainty range of MODIS Aqua and Terra observations.

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“…Some sites have new instruments that increase the number of valid clear-sky radiance retrievals to about 16 per day (through the use of Hybrid scans) and the number of τ a measurements to about 200 per day. Nonetheless, there is still a large amount of data that do not contain the sky-radiance scans necessary for full AERONET inversions of size distributions, complex re-PM x has a detrimental effect on human health, and is commonly monitored at the ground level in worldwide networks (Rohen et al, 2011;Bennouna et al, 2016). For these reasons, many studies in recent decades use τ a retrieved by satellite sensors to estimate and forecast the surface PM x (Kacenelenbogen et al, 2006;Koelemeijer et al, 2006;Van Donkelaar et al, 2010Vidot et al, 2007;Rohen et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm

et al. 2017

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Abstract. This study evaluates the potential of using aerosol optical depth (τ a ) measurements to characterise the microphysical and optical properties of atmospheric aerosols. With this aim, we used the recently developed GRASP (Generalized Retrieval of Aerosol and Surface Properties) code for numerical testing of six different aerosol models with different aerosol loads. The direct numerical simulations (selfconsistency tests) indicate that the GRASP-AOD retrieval provides modal aerosol optical depths (fine and coarse) to within 0.01 of the input values. The retrieval of the finemode radius, width and volume concentration are stable and precise if the real part of the refractive index is known. The coarse-mode properties are less accurate, but they are significantly improved when additional a priori information is available. The tests with random simulated errors show that the uncertainty in the bimodal log-normal size distribution parameters increases as the aerosol load decreases. Similarly, the reduction in the spectral range diminishes the stability of the retrieved parameters. In addition to these numerical studies, we used optical depth observations at eight AERONET locations to validate our results with the standard AERONET inversion products. We found that bimodal log-normal size distributions serve as useful input assumptions, especially when the measurements have inadequate spectral coverage and/or limited accuracy, such as moon photometry. Comparisons of the mode median radii between GRASP-AOD and AERONET indicate average differences of 0.013 µm for the fine mode and typical values of 0.2-0.3 µm for the coarse mode. The dominant mode (i.e. fine or coarse) indicates a 10 % difference in mode radii between the GRASP-AOD and AERONET inversions, and the average of the difference in volume concentration is around 17 % for both modes. The retrieved values of the fine-mode τ a (500) using GRASP-AOD are generally between those values obtained by the standard AERONET inversion and the values obtained by the AERONET spectral deconvolution algorithm (SDA), with differences typically lower than 0.02 between GRASP-AOD and both algorithms. Finally, we present some examples of application of GRASP-AOD inversion using moon photometry and the airborne PLASMA sun photometer during the ChArMEx summer 2013 campaign in the western Mediterranean.

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Retrieval of aerosol mass load (PM<sub>10</sub>) from MERIS/Envisat top of atmosphere spectral reflectance measurements over Germany

Cited by 16 publications

References 53 publications

Aerosol properties of mineral dust and its mixtures in a regional background of north-central Iberian Peninsula

Aerosol properties of mineral dust and its mixtures in a regional background of north-central Iberian Peninsula

Assessment of two aerosol optical thickness retrieval algorithms applied to MODIS Aqua and Terra measurements in Europe

Advanced characterisation of aerosol size properties from measurements of spectral optical depth using the GRASP algorithm

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