Aerosol microphysical retrievals from precision filter radiometer direct solar radiation measurements and comparison with AERONET

Kazadzis, Stelios; Veselovskii, Igor; Amiridis, Vassilis; Gröbner, Julian; Suvorina, A.; Nyeki, S.; Gerasopoulos, E.; Kouremeti, Natalia; Taylor, Michael; Tsekeri, Alexandra; Wehrli, Christoph

doi:10.5194/amt-7-2013-2014

Cited by 25 publications

(38 citation statements)

References 26 publications

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“…The first results of the application of LE to AODs measured by AERONET and PFR were reported recently by Kazadzis et al (2014). The results were presented for one site (Athens, Greece) and demonstrated reasonable agreement with the operational AERONET algorithm.…”

Section: Pérez-ramírez Et Al: High Temporal-resolution Aerosol MImentioning

confidence: 85%

High temporal resolution estimates of columnar aerosol microphysical parameters from spectrum of aerosol optical depth by linear estimation: application to long-term AERONET and star-photometry measurements

Pérez-Ramírez

Veselovskii²,

Whiteman

et al. 2015

Atmos. Meas. Tech.

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Abstract. This work deals with the applicability of the linear estimation technique (LE) to invert spectral measurements of aerosol optical depth (AOD) provided by AERONET CIMEL sun photometers. The inversion of particle properties using only direct-sun AODs allows the evaluation of parameters such as effective radius (r eff ) and columnar volume aerosol content (V ) with significantly better temporal resolution than the operational AERONET algorithm which requires both direct sun and sky radiance measurements. Sensitivity studies performed demonstrate that the constraints on the range of the inversion are very important to minimize the uncertainties, and therefore estimates of r eff can be obtained with uncertainties less than 30 % and of V with uncertainties below 40 %. The LE technique is applied to data acquired at five AERONET sites influenced by different aerosol types and the retrievals are compared with the results of the operational AERONET code. Good agreement between the two techniques is obtained when the fine mode predominates, while for coarse mode cases the LE results systematically underestimate both r eff and V . The highest differences are found for cases where no mode predominates. To minimize these biases, correction functions are developed using the multi-year database of observations at selected sites, where the AERONET retrieval is used as the reference. The derived corrections are tested using data from 18 other AERONET stations offering a range of aerosol types. After correction, the LE retrievals provide better agreement with AERONET for all the sites considered. Finally, the LE approach developed here is applied to AERONET and star-photometry measurements in the city of Granada (Spain) to obtain dayto-night time evolution of columnar aerosol microphysical properties.

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Section: Pérez-ramírez Et Al: High Temporal-resolution Aerosol MImentioning

confidence: 85%

High temporal resolution estimates of columnar aerosol microphysical parameters from spectrum of aerosol optical depth by linear estimation: application to long-term AERONET and star-photometry measurements

Pérez-Ramírez

Veselovskii²,

Whiteman

et al. 2015

Atmos. Meas. Tech.

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“…Figure 1a shows that about 60 % of the AOD differences fall within the limits ±(0.005+0.010/µ aer ) defined in WMO-GAW report number 162 (WMO, 2004), whereas a minimum of 95 % would be requested to formally establish an intercomparison traceability (e.g. Kazadzis et al, 2014). Figure 1a seems to suggest that AOD varies as a function of the air mass.…”

Section: Instrument Temperature Dependencementioning

confidence: 99%

Retrieval of aerosol optical depth in the visible range with a Brewer spectrophotometer in Athens

et al. 2016

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Abstract.A MkIV Brewer spectrophotometer has been operating in Athens since 2004. Direct-sun measurements originally scheduled for nitrogen dioxide retrievals were reprocessed to provide aerosol optical depths (AODs) at a wavelength of about 440 nm. A novel retrieval algorithm was specifically developed and the resulting AODs were compared to those obtained from a collocated Cimel filter radiometer belonging to the Aerosol Robotic Network (AERONET). The series are perfectly correlated, with Pearson's correlation coefficients being as large as 0.996 and with 90 % of AOD deviations between the two instruments being within the World Meteorological Organisation (WMO) traceability limits. In order to reach such a high agreement, several instrumental factors impacting the quality of the Brewer retrievals must be taken into account, including sensitivity to the internal temperature, and the state of the external optics and pointing accuracy must be carefully checked. Furthermore, the long-term radiometric stability of the Brewer was investigated and the performances of in situ Langley extrapolations as a way to track the absolute calibration of the Brewer were assessed. Other sources of error, such as slight shifts of the wavelength scale, are discussed and some recommendations to Brewer operators are drawn. Although MkIV Brewers are rarely employed to retrieve AODs in the visible range, they represent a key source of information about aerosol changes in the past three decades and a potential worldwide network for present and future coordinated AOD measurements. Moreover, a better understanding of the AOD retrieval at visible wavelengths will also contribute in improving similar techniques in the more challenging UV range.

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“…Firstly, data provided by AERONET operational algorithm (version 2) were used to retrieve the aerosol microphysics during daytime by inversion of τ λ and sky radiances obtained from the sun-photometer. In addition to these AERONET aerosol retrievals, we inverted τ λ spectral values with the LE algorithm to get high temporally resolved aerosol properties such as the integrated volume and effective radius (Kazadzis et al, 2014). The LE algorithm is described in Veselovskii et al (2012) and more details are provided by Pérez-Ramírez et al (2015), where correction functions to get accurate aerosol data close to that of the operational AERONET code were introduced.…”

Section: Inversion Of τ λ Spectral Measurementsmentioning

confidence: 99%

“…However, due to the inherent characteristics of the sun-photometer only daytime retrievals are possible. The linear estimation (LE) algorithm, introduced in Veselovskii et al (2012), allows for the retrieval columnintegrated aerosol microphysical properties with high temporal resolution (Kazadzis et al, 2014) during both day and nighttime taking advantage of sun-and star-photometry measurements (Pérez-Ramírez et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

A comparative study of aerosol microphysical properties retrieved from ground-based remote sensing and aircraft in situ measurements during a Saharan dust event

Granados-Muñoz¹,

Bravo-Aranda

Baumgardner

et al. 2016

Atmos. Meas. Tech.

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Abstract. In this work we present an analysis of aerosol microphysical properties during a mineral dust event taking advantage of the combination of different state-of-theart retrieval techniques applied to active and passive remote sensing measurements and the evaluation of some of those techniques using independent data acquired from in situ aircraft measurements. Data were collected in a field campaign performed during a mineral dust outbreak at the Granada, Spain, experimental site (37.16 • N, 3.61 • W, 680 m a.s.l.) on 27 June 2011. Column-integrated properties are provided by sun-and star-photometry, which allows for a continuous evaluation of the mineral dust optical properties during both day and nighttime. Both the linear estimation and AERONET (Aerosol Robotic Network) inversion algorithms are applied for the retrieval of the column-integrated microphysical particle properties. In addition, vertically resolved microphysical properties are obtained from a multi-wavelength Raman lidar system included in EARLINET (European Aerosol Research Lidar Network), by using both LIRIC (Lidar Radiometer Inversion Code) algorithm during daytime and an algorithm applied to the Raman measurements based on the regularization technique during nighttime. LIRIC retrievals Published by Copernicus Publications on behalf of the European Geosciences Union. M. J. Granados-Muñoz et al.: Aerosol microphysical properties profiles during a dust eventreveal the presence of dust layers between 3 and 5 km a.s.l. with volume concentrations of the coarse spheroid mode up to 60 µm 3 cm −3 . The combined use of the regularization and LIRIC methods reveals the night-to-day evolution of the vertical structure of the mineral dust microphysical properties and offers complementary information to that from column-integrated variables retrieved from passive remote sensing. Additionally, lidar depolarization profiles and LIRIC retrieved volume concentration are compared with aircraft in situ measurements. This study presents for the first time a comparison of the total volume concentration retrieved with LIRIC with independent in situ measurements, obtaining agreement within the estimated uncertainties for both methods and quite good agreement for the vertical distribution of the aerosol layers. Regarding the depolarization, the first published data set of the CAS-POL for polarization ratios is presented here and qualitatively compared with the lidar technique.

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Aerosol microphysical retrievals from precision filter radiometer direct solar radiation measurements and comparison with AERONET

Cited by 25 publications

References 26 publications

High temporal resolution estimates of columnar aerosol microphysical parameters from spectrum of aerosol optical depth by linear estimation: application to long-term AERONET and star-photometry measurements

High temporal resolution estimates of columnar aerosol microphysical parameters from spectrum of aerosol optical depth by linear estimation: application to long-term AERONET and star-photometry measurements

Retrieval of aerosol optical depth in the visible range with a Brewer spectrophotometer in Athens

A comparative study of aerosol microphysical properties retrieved from ground-based remote sensing and aircraft in situ measurements during a Saharan dust event

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