Airmass Classification and Analysis of Aerosol Types at El Arenosillo (Spain)

Toledano, Carlos; Cachorro, Victoria E.; Baraja, Angel Máximo de Frutos; Torres, Benjamín; Berjón, A.; Sorribas, M.; Stone, Robert S.

doi:10.1175/2008jamc2006.1

Cited by 126 publications

(104 citation statements)

References 42 publications

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“…The HYSPLIT model has been run twice a day at 00:00 and 12:00 UTC at 1500 m a.g.l. ; this altitude was selected as representative of the whole atmospheric column (e.g., Toledano et al, 2009). To classify the air-masses that affected the study area we follow the classification scheme developed by Toledano et al (2009).…”

Section: Methodsmentioning

confidence: 99%

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Columnar aerosol properties from sun-and-star photometry: statistical comparisons and day-to-night dynamic

et al. 2012

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Abstract. This work presents the first analysis of longterm correlative day-to-night columnar aerosol optical properties. The aim is to better understand columnar aerosol dynamic from ground-based observations, which are poorly studied until now. To this end we have used a combination of sun-and-star photometry measurements acquired in the city of Granada (37.16 • N, 3.60 • W, 680 m a.s.l.; South-East of Spain) from 2007 to 2010. For the whole study period, mean aerosol optical depth (AOD) around 440 nm (±standard deviation) is 0.18 ± 0.10 and 0.19 ± 0.11 for daytime and nighttime, respectively, while the mean Angström exponent (α) is 1.0 ± 0.4 and 0.9 ± 0.4 for daytime and nighttime. The ANOVA statistical tests reveal that there are no significant differences between AOD and α obtained at daytime and those at nighttime. Additionally, the mean daytime values of AOD and α obtained during this study period are coherent with the values obtained in the surrounding AERONET stations. On the other hand, AOD around 440 nm present evident seasonal patterns characterised by large values in summer (mean value of 0.20 ± 0.10 both at daytime and nighttime) and low values in winter (mean value of 0.15 ± 0.09 at daytime and 0.17 ± 0.10 at nighttime). The Angström exponents also present seasonal patterns, but with low values in summer (mean values of 0.8 ± 0.4 and 0.9 ± 0.4 at dayand night-time) and relatively large values in winter (mean values of 1.2 ± 0.4 and 1.0 ± 0.3 at daytime and nighttime). These seasonal patterns are explained by the differences in the meteorological conditions and by the differences in the strength of the aerosol sources. To take more insight about the changes in aerosol particles between day and night, the spectral differences of the Angström exponent as function of the Angström exponent are also studied. These analyses reveal increases of the fine mode radius and of the fine mode contribution to AOD during nighttime, being more remarkable in the summer seasons. These variations are explained by the changes of the local aerosol sources and by the meteorological conditions between daytime and nighttime, as well as aerosol aging processes. Case studies during summer and winter for different aerosol loads and types are also presented to clearly illustrate these findings.

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Section: Methodsmentioning

confidence: 99%

“…; this altitude was selected as representative of the whole atmospheric column (e.g., Toledano et al, 2009). To classify the air-masses that affected the study area we follow the classification scheme developed by Toledano et al (2009). This method is based on the residence time of the trajectory within geographic sectors.…”

Section: Methodsmentioning

confidence: 99%

Columnar aerosol properties from sun-and-star photometry: statistical comparisons and day-to-night dynamic

et al. 2012

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“…The trajectories are then assigned to the sector where it had remained for the longest time. The classification method is fully described in Toledano et al (2009). The altitude level used for the classification was 500 m, since this is within the boundary layer, where most of the particles are confined.…”

Section: Methodsmentioning

confidence: 99%

“…In this plot the majority of data fall into two groups that can be defined with the help of the OPAC model (Hess et al, 1998), the AERONET climatology (Holben et al, 2001) and our experience from other sites (Toledano et al, 2009). The first one had AOD below 0.16 and AE larger than 1.1 and these aerosols can be considered continental (53% of days).…”

Section: Aerosol Characterization: Aerosol Optical Depth Andmentioning

confidence: 99%

Aerosol characterization at the sub‐Arctic site Andenes (69°N, 16°E), by the analysis of columnar optical properties

Rodríguez

Toledano

Cachorro

et al. 2011

Quart J Royal Meteoro Soc

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“…lung cancer) occur in this region at an elevated rate. Therefore, a number of studies were performed, mainly in and around Huelva to evaluate the impact of industrial emissions and their characterization in terms of the chemical composition and potential origin (Fernández-Camacho et al, 2010b;de la Rosa et al, 2010;Perez-Lopez et al, 2010;de la Campa et al, 2011;Toledano et al, 2009). In addition, the interaction of high solar radiation levels as they occur in Andalusia together with elevated anthropogenic and natural ozone precursor emissions lead to enhanced photochemical ozone production that can be measured downwind of industrialized regions, where the ozone precursor substances are emitted (Adame et al, 2008(Adame et al, , 2010a.…”

Section: J-m Diesch Et Al: Variability Of Aerosol Gaseous Pollutamentioning

confidence: 99%

Variability of aerosol, gaseous pollutants and meteorological characteristics associated with changes in air mass origin at the SW Atlantic coast of Iberia

et al. 2012

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Abstract. Measurements of the ambient aerosol were performed at the Southern coast of Spain, within the framework of the DOMINO (Diel Oxidant Mechanisms In relation to Nitrogen Oxides) project. The field campaign took place from 20 November until 9 December 2008 at the atmospheric research station "El Arenosillo" (37 • 5 47.76 N, 6 • 44 6.94 W). As the monitoring station is located at the interface between a natural park, industrial cities (Huelva, Seville) and the Atlantic Ocean, a variety of physical and chemical parameters of aerosols and gas phase could be characterized in dependency on the origin of air masses. Backwards trajectories were examined and compared with local meteorology to classify characteristic air mass types for several source regions. Aerosol number and mass as well as polycyclic aromatic hydrocarbons and black carbon concentrations were measured in PM 1 and size distributions were registered covering a size range from 7 nm up to 32 µm. The chemical composition of the non-refractory submicron aerosol (NR-PM 1 ) was measured by means of an Aerosol Mass Spectrometer (Aerodyne HR-ToF-AMS). Gas phase analyzers monitored various trace gases (O 3 , SO 2 , NO, NO 2 , CO 2 ) and a weather station provided meteorological parameters.Lowest average submicron particle mass and number concentrations were found in air masses arriving from the Atlantic Ocean with values around 2 µg m −3 and 1000 cm −3 . These mass concentrations were about two to four times lower than the values recorded in air masses of continental and urban origins. For some species PM 1 -fractions in marine air were significantly larger than in air masses originating from Huelva, a closely located city with extensive industrial activities. The largest fraction of sulfate (54 %) was detected in marine air masses and was to a high degree not neutralized. In addition, small concentrations of methanesulfonic acid (MSA), a product of biogenic dimethyl sulfate (DMS) emissions, could be identified in the particle phase.In all air masses passing the continent the organic aerosol fraction dominated the total NR-PM 1 . For this reason, using Positive Matrix Factorization (PMF) four organic aerosol (OA) classes that can be associated with various aerosol sources and components were identified: a highlyoxygenated OA is the major component (43 % OA) while semi-volatile OA accounts for 23 %. A hydrocarbon-like OA mainly resulting from industries, traffic and shipping emissions as well as particles from wood burning emissions also contribute to total OA and depend on the air mass origin.A significant variability of ozone was observed that depends on the impact of different air mass types and solar radiation.

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Airmass Classification and Analysis of Aerosol Types at El Arenosillo (Spain)

Cited by 126 publications

References 42 publications

Columnar aerosol properties from sun-and-star photometry: statistical comparisons and day-to-night dynamic

Columnar aerosol properties from sun-and-star photometry: statistical comparisons and day-to-night dynamic

Aerosol characterization at the sub‐Arctic site Andenes (69°N, 16°E), by the analysis of columnar optical properties

Variability of aerosol, gaseous pollutants and meteorological characteristics associated with changes in air mass origin at the SW Atlantic coast of Iberia

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