PM10 remote sensing from geostationary SEVIRI and polar-orbiting MODIS sensors over the complex terrain of the European Alpine region

Emili, Emanuele; Popp, Christoph; Petitta, Marcello; Riffler, Michael; Wunderle, Stefan; Zebisch, Marc

doi:10.1016/j.rse.2010.05.024

Cited by 84 publications

(63 citation statements)

References 55 publications

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“…information such as meteorological data (Pelletier et al, 2007;Emili et al, 2010;Wu et al, 2012;Kanabkaew, 2013) and boundary layer height (Engel-Cox et al, 2006;Tsai et al, 2011;Estellés et al, 2012), and also employs light detection and ranging (lidar) instruments to capture the vertical aerosol distribution at specific locations (Schaap et al, 2009;Barnaba et al, 2010). These recently developed approaches use various statistical methods, from linear regression models (Wang and Christopher, 2003;Tian and Chen, 2010) to more complex multiple regression and neural network techniques (Gupta and Christopher, 2009a, b), generalized additive mixed models (GAMs) (Liu et al, 2009;Paciorek et al, 2008;Paciorek and Liu, 2012), and mixed effects models Chudnovsky et al, 2012).…”

Section: A Chudnovsky Et Al: a Critical Assessment Of High-resolutimentioning

confidence: 99%

A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions

Chudnovsky

Tang²,

Lyapustin

et al. 2013

Atmos. Chem. Phys.

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Abstract. Recently, a new Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm was developed for the MODerate Resolution Imaging Spectroradiometer (MODIS), which provides aerosol optical depth (AOD) at 1 km resolution. The relationship between MAIAC AOD and PM 2.5 as measured by 84 EPA ground monitoring stations in the entire New England and the Harvard super site during 2002-2008 was investigated and also compared to the AOD-PM 2.5 relationship using conventional MODIS 10 km AOD retrieval from Aqua platform (MYD04) for the same days and locations. The correlations for MYD04 and for MA-IAC are r = 0.62 and 0.65, respectively, suggesting that AOD is a reasonable proxy for PM 2.5 ground concentrations. The slightly higher correlation coefficient (r) for MAIAC can be related to its finer resolution resulting in better correspondence between AOD and EPA monitoring sites. Regardless of resolution, AOD-PM 2.5 relationship varies daily, and under certain conditions it can be negative (due to several factors such as an EPA site location (proximity to road) and the lack of information about the aerosol vertical profile). By investigating MAIAC AOD data, we found a substantial increase, by 50-70 % in the number of collocated AOD-PM 2.5 pairs, as compared to MYD04, suggesting that MAIAC AOD data are more capable in capturing spatial patterns of PM 2.5 . Importantly, the performance of MAIAC AOD retrievals is slightly degraded but remains reliable under partly cloudy conditions when MYD04 data are not available, and it can be used to increase significantly the number of days for PM 2.5 spatial pattern prediction based on satellite observations.

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Section: A Chudnovsky Et Al: a Critical Assessment Of High-resolutimentioning

confidence: 99%

A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions

Chudnovsky

Tang²,

Lyapustin

et al. 2013

Atmos. Chem. Phys.

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“…The SEVIRI AOD product (Popp et al, 2007 Popp et al, 2009). A validation of SEVIRI AOD carried out specifically over some Alpine sites and the relative discussion can also be found in Emili et al (2010). In the MODIS Collection 5 (Levy et al, 2007) overland aerosol retrievals, the infrared bands (1.24, 2.1 µm), which are less sensitive to the aerosol signal, are used to estimate the surface reflectance in the visible bands for each observation (Kaufman et al, 1997).…”

Section: Satellite Observationsmentioning

confidence: 99%

Spatial variation of aerosol optical properties around the high-alpine site Jungfraujoch (3580 m a.s.l.)

Zieger

Kienast-Sjögren

Starace³

et al. 2012

Atmos. Chem. Phys.

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Abstract. This paper presents results of the extensive field campaign CLACE 2010 (Cloud and Aerosol Characterization Experiment) performed in summer 2010 at the Jungfraujoch (JFJ) and the Kleine Scheidegg (KLS) in the Swiss Alps. The main goal of this campaign was to investigate the vertical variability of aerosol optical properties around the JFJ and to show the consistency of the different employed measurement techniques considering explicitly the effects of relative humidity (RH) on the aerosol light scattering. Various aerosol optical and microphysical parameters were recorded using in-situ and remote sensing techniques. In-situ measurements of aerosol size distribution, light scattering, light absorption and scattering enhancement due to water uptake were performed at the JFJ at 3580 m a.s.l.. A unique set-up allowed remote sensing measurements of aerosol columnar and vertical properties from the KLS located about 1500 m below and within the line of sight to the JFJ (horizontal distance of approx. 4.5 km). In addition, two satellite retrievals from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) and the Moderate Resolution Imaging Spectroradiometer (MODIS) as well as back trajectory analyses were added to the comparison to account for a wider geographical context. All in-situ and remote sensing measurements were in clear correspondence. The ambient extinction coefficient measured in situ at the JFJ agreed well with the KLSbased LIDAR (Light Detection and Ranging) retrieval at the altitude-level of the JFJ under plausible assumptions on the LIDAR ratio. However, we can show that the quality of this comparison is affected by orographic effects due to the exposed location of the JFJ on a saddle between two mountains and next to a large glacier. The local RH around the JFJ was often higher than in the optical path of the LIDAR measurement, especially when the wind originated from the south via the glacier, leading to orographic clouds which remained lower than the LIDAR beam. Furthermore, the dominance of long-range transported Saharan dust was observed in all measurements for several days, however only for a shorter time period in the in-situ measurements due to the vertical structure of the dust plume. The optical properties of the aerosol column retrieved from SEVIRI and MODIS showed the same magnitude and a similar temporal evolution as the measurements at the KLS and the JFJ. Remaining differences are attributed to the complex terrain and simplifications in the aerosol retrieval scheme in general.

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“…Indeed, aerosol monitoring by spaceborne instruments is still a challenge in these areas, due to complex orography, shadows, snow-covered surfaces, and convective clouds typical of mountainous regions (Emili et al 2010). Moreover, groundbased measurements in such environments are challenging: estimates of aerosol properties (e.g., single scattering albedo) in the mountains might easily be biased, for instance, by incorrect assumptions of surface albedo (Nakajima et al 1996;Hashimoto et al 2012).…”

Section: Introductionmentioning

confidence: 99%

One Year of Measurements with a POM-02 Sky Radiometer at an Alpine EuroSkyRad Station

Diémoz

Campanelli

Estellés

2014

Journal of the Meteorological Society of Japan

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Aerosol optical properties at the Alpine station of Saint-Christophe, northern Italy are measured with a POM-02 sky radiometer. Diffuse radiances from the sky and direct sun irradiances are processed with SKYRAD and SUNRAD algorithms, respectively, providing consistent results. The aerosol optical depth at the station is generally very low (0.10 at a wavelength of 500 nm); however, spikes (up to 0.75) can occur due to the transport of Saharan dust and smoke clouds moving on an intercontinental scale, according to NAAPS and HYSPLIT models. In addition, the aerosol microphysical properties are analyzed by means of the Ångström exponent and its spectral variation, which allows discrimination between different types of particles and the assessment of possible contamination by clouds. Influence by local meteorology and anthropogenic emissions is investigated, providing useful information to understand the pollution dynamics in mountainous regions. Finally, we highlight some algorithmic and instrumental issues that are still poorly understood.

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PM10 remote sensing from geostationary SEVIRI and polar-orbiting MODIS sensors over the complex terrain of the European Alpine region

Cited by 84 publications

References 55 publications

A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions

A critical assessment of high-resolution aerosol optical depth retrievals for fine particulate matter predictions

Spatial variation of aerosol optical properties around the high-alpine site Jungfraujoch (3580 m a.s.l.)

One Year of Measurements with a POM-02 Sky Radiometer at an Alpine EuroSkyRad Station

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