Studies of aerosol optical depth with the use of Microtops II sun photometers and MODIS detectors in coastal areas of the Baltic Sea

Zawadzka, Olga; Makuch, Przemysław; Markowicz, Krzysztof M.; Zieliński, Tymon; Petelski, Tomasz; Ulevičius, Vidmantas; Strzałkowska, Agata; Rozwadowska, Anna; Gutowska, Dorota

doi:10.2478/s11600-013-0182-5

Cited by 12 publications

(8 citation statements)

References 29 publications

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“…The Microtops Sunphotometer has been widely used to measure aerosol optical depth (AOD) in recent years (More et al, 2013;Porter et al, 2001;Zawadzka et al, 2014) and is recognized as a very useful tool for validating aerosol retrievals from satellite sensors. Ichoku et al (2002b) and Morys et al (2001) provided a general description of the Microtops Sunphotometer's design, calibration, and performance.…”

Section: Aerosol Optical Depth and Snow Albedo Measurementsmentioning

confidence: 99%

Observations and model simulations of snow albedo reduction in seasonal snow due to insoluble light-absorbing particles during 2014 Chinese survey

et al. 2017

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Abstract. A snow survey was carried out to collect 13 surface snow samples (10 for fresh snow, and 3 for aged snow) and 79 subsurface snow samples in seasonal snow at 13 sites across northeastern China in January 2014. A spectrophotometer combined with chemical analysis was used to quantify snow particulate absorption by insoluble light-absorbing particles (ILAPs, e.g., black carbon, BC; mineral dust, MD; and organic carbon, OC) in snow. Snow albedo was measured using a field spectroradiometer. A new radiative transfer model (Spectral Albedo Model for Dirty Snow, or SAMDS) was then developed to simulate the spectral albedo of snow based on the asymptotic radiative transfer theory. A comparison between SAMDS and an existing model -the Snow, Ice, and Aerosol Radiation (SNICAR) -indicates good agreements in the model-simulated spectral albedos of pure snow. However, the SNICAR model values tended to be slightly lower than those of SAMDS when BC and MD were considered. Given the measured BC, MD, and OC mixing ratios of 100-5000, 2000-6000, and 1000-30 000 ng g −1 , respectively, in surface snow across northeastern China, the SAMDS model produced a snow albedo in the range of 0.95-0.75 for fresh snow at 550 nm, with a snow grain optical effective radius (R eff ) of 100 µm. The snow albedo reduction due to spherical snow grains assumed to be aged snow is larger than fresh snow such as fractal snow grains and hexagonal plate or column snow grains associated with the increased BC in snow. For typical BC mixing ratios of 100 ng g −1 in remote areas and 3000 ng g −1 in heavy industrial areas across northern China, the snow albedo for internal mixing of BC and snow is lower by 0.005 and 0.036 than that of external mixing for hexagonal plate or column snow grains with R eff of 100 µm. These results also show that the simulated snow albedos by both SAMDS and SNICAR agree well with the observed values at low ILAP mixing ratios but tend to be higher than surface observations at high ILAP mixing ratios.

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Section: Aerosol Optical Depth and Snow Albedo Measurementsmentioning

confidence: 99%

Observations and model simulations of snow albedo reduction in seasonal snow due to insoluble light-absorbing particles during 2014 Chinese survey

et al. 2017

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“…For 14 C analysis of EC, the filters were first water extracted in order to minimize charring by removing the water-soluble OC (WSOC). Then the Swiss_4S protocol (Zhang et al, 2012) was used to remove the water-insoluble OC (WINSOC) and measure the EC 14 C, by coupling of the Sunset instrument to the MICADAS . 14 C in OC was determined from the TC 14 C and the EC 14 C results with an isotope mass balance calculation.…”

Section: Oc / Ec 14 C δ 13 C and δ 15 N Analysismentioning

confidence: 99%

“…All the data from the 14 C analysis were corrected for the decay of the 14 C from 1950 until present. The reported uncertainty for the non-fossil fraction of EC includes both charring of OC (overestimation of EC) and EC loss (underestimation of EC) during the WINSOC removal process (Zhang et al, 2012). Nonfossil fractions of TC, EC and OC (i.e., TC nf , EC nf and OC nf ) were determined from the individual 14 C analyses and 14 C reference values.…”

Section: Oc / Ec 14 C δ 13 C and δ 15 N Analysismentioning

confidence: 99%

Fossil and non-fossil source contributions to atmospheric carbonaceous aerosols during extreme spring grassland fires in Eastern Europe

Ulevičius

Byčenkienė²,

Bozzetti

et al. 2016

Atmos. Chem. Phys.

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In early spring the Baltic region is frequently affected by high-pollution events due to biomass burning in that area. Here we present a comprehensive study to investigate the impact of biomass/grass burning (BB) on the evolution and composition of aerosol in Preila, Lithuania, during springtime open fires. Non-refractory submicron particulate matter (NR-PM 1 ) was measured by an Aerodyne aerosol chemical speciation monitor (ACSM) and a source apportionment with the multilinear engine (ME-2) running the positive matrix factorization (PMF) model was applied to the organic aerosol fraction to investigate the impact of biomass/grass burning. Satellite observations over regions of biomass burning activity supported the results and identification of air mass transport to the area of investigation. Sharp increases in biomass burning tracers, such as levoglucosan up to 683 ng m −3 and black carbon (BC) up to 17 µg m −3 were observed during this period. A further separation between fossil and non-fossil primary and secondary contributions was obtained by coupling ACSM PMF results and radiocarbon ( 14 C) measurements of the elemental (EC) and organic (OC) carbon fractions. Non-fossil organic carbon (OC nf ) was the dominant fraction of PM 1 , with the primary (POC nf ) and secondary (SOC nf ) fractions contributing 26-44 % and 13-23 % to the total carbon (TC), respectively. 5-8 % of the TC had a primary fossil origin (POC f ), whereas the contribution of fossil secondary organic carbon (SOC f ) was 4-13 %. Nonfossil EC (EC nf ) and fossil EC (EC f ) ranged from 13-24 and 7-13 %, respectively. Isotope ratios of stable carbon and nitrogen isotopes were used to distinguish aerosol particles associated with solid and liquid fossil fuel burning. Published by CopernicusPublications on behalf of the European Geosciences Union. 5514 V. Ulevicius et al.: Fossil and non-fossil source contributions to atmospheric carbonaceous aerosols

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“…By its relatively accurate AOT observation, it also has been used to compare with AOT observed from other instruments (Srivastava et al, 2008;More et al, 2013;Zawadzka et al, 2014). The spectral AOTs carry information about the aerosol extinction property with the size distribution.…”

Section: Methodsmentioning

confidence: 99%

Retrieval of Aerosol Size Distribution from Microtops II Sunphotometer in Hong Kong

Lee

Wong

Nichol

et al. 2015

Aerosol Air Qual. Res.

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A new method has been developed for retrieving Aerosol Size Distribution (ASD) from spectral aerosol optical thickness (AOT) measured by Microtops II sunphotometer. The rationale of this method is based on a Spectral Extinction Fitting Technique (SEFT) between measured and model-simulated aerosol extinctions. Numerical simulation of aerosol extinctions includes seven aerosol microphysical properties and the resulting total of 64,324,260 datasets were used to compare with Microtops II sunphotometer AOT measurements at five wavelengths (340, 500, 675, 870, and 1020 nm). This SEFT method works directly on AOT measurements and does not require any specific inputs of aerosol properties. The accuracy was examined using AERONET inversion products, and the results show a difference between SEFT and AERONET inversion products of bimodal lognormal volume size concentrations, of ± 10%. The SEFT algorithm was applied for two specific conditions (hazy and clear atmospheres) in Hong Kong, and the corresponding ASD retrievals show reasonable agreements with AERONET inversion products.

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Studies of aerosol optical depth with the use of Microtops II sun photometers and MODIS detectors in coastal areas of the Baltic Sea

Cited by 12 publications

References 29 publications

Observations and model simulations of snow albedo reduction in seasonal snow due to insoluble light-absorbing particles during 2014 Chinese survey

Observations and model simulations of snow albedo reduction in seasonal snow due to insoluble light-absorbing particles during 2014 Chinese survey

Fossil and non-fossil source contributions to atmospheric carbonaceous aerosols during extreme spring grassland fires in Eastern Europe

Retrieval of Aerosol Size Distribution from Microtops II Sunphotometer in Hong Kong

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