Spatial variation of aerosol properties over Europe derived from satellite observations and comparison with model calculations

Gonzalez, C. Robles; Schaap, Martijn; Leeuw, G. de; Builtjes, P. J. H.; Loon, M. van

doi:10.5194/acp-3-521-2003

Cited by 35 publications

(18 citation statements)

References 39 publications

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“…Several authors identify a pivot point around 2006(Kang et al, 2016Zhang et al, 2017;Zhao et al, 2017) after which the AOD fluctuates before the decrease sets in from 2011 . Using a different analysis method, Zhang et al (2017) suggest a decrease starting from about 2006-2008.…”

Section: Seasonal Variationmentioning

confidence: 99%

“…However, that approach may fail over very bright surfaces such as snow, ice or some desert areas. ATSR AOD data retrieved using the ADV algorithm have been successfully applied in many studies (e.g., Veefkind et al, 1998Veefkind et al, , 1999Veefkind et al, , 2000Robles-Gonzalez et al, 2000, 2006Schmid et al, 2003;Sundström et al, 2012;Holzer-Popp et al, 2013;Virtanen et al, 2014;Rodriguez et al, 2015;Sogacheva et al, 2015Sogacheva et al, , 2017Popp et al, 2016). By combining the ATSR-2 and AATSR data sets, a unique time series of AOD over land, from June 1995 to April 2012, offers the opportunity to analyze the temporal variation of the AOD and possibly detect trends.…”

Section: Introductionmentioning

confidence: 99%

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Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns

et al. 2018

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Abstract. The retrieval of aerosol properties from satellite observations provides their spatial distribution over a wide area in cloud-free conditions. As such, they complement ground-based measurements by providing information over sparsely instrumented areas, albeit that significant differences may exist in both the type of information obtained and the temporal information from satellite and ground-based observations. In this paper, information from different types of satellite-based instruments is used to provide a 3-D climatology of aerosol properties over mainland China, i.e., vertical profiles of extinction coefficients from the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), a lidar flying aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite and the columnintegrated extinction (aerosol optical depth -AOD) available from three radiometers: the European Space Agency (ESA)'s Along-Track Scanning Radiometer version 2 (ATSR-2), Advanced Along-Track Scanning Radiometer (AATSR) (together referred to as ATSR) and NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Terra satellite, together spanning the period 1995-2015. AOD data are retrieved from ATSR using the ATSR dual view (ADV) v2.31 algorithm, while for MODIS Collection 6 (C6) the AOD data set is used that was obtained from merging the AODs obtained from the dark target (DT) and deep blue (DB) algorithms, further referred to as the DTDB merged AOD product. These data sets are validated and differences are compared using Aerosol Robotic Network (AERONET) version 2 L2.0 AOD data as reference. The results show that, over China, ATSR slightly underestimates the AOD and MODIS slightly overestimates the AOD. Consequently, ATSR AOD is overall lower than that from MODIS, and the difference increases with increasing AOD. The comparison also shows that neither of the ATSR and MODIS AOD data sets is better than the other one everywhere. However, ATSR ADV has limitations over bright surfaces which the MODIS DB was designed for. To allow for comparison of MODIS C6 results with previous analyses where MODIS Collection 5.1 (C5.1) data were used, also the difference between the C6 and C5.1 merged DTDB data sets from MODIS/Terra over China is briefly discussed.The AOD data sets show strong seasonal differences and the seasonal features vary with latitude and longitude across China. Two-decadal AOD time series, averaged over all of mainland China, are presented and briefly discussed. Using the 17 years of ATSR data as the basis and MODIS/Terra to follow the temporal evolution in recent years when the environmental satellite Envisat was lost requires a compariPublished by Copernicus Publications on behalf of the European Geosciences Union.

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Section: Seasonal Variationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns

et al. 2018

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“…Comparisons between satellite-derived and simulated AOT from Chemistry-Transport Models have also been made (e.g. Robles González et al, 2003;Jeuken et al, 2001;Hodzic et al, 2004;Hodzic et al, 2006). Satellite measurements have the advantage that they provide horizontal information.…”

Section: Introductionmentioning

confidence: 99%

Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data

et al. 2008

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Abstract. This paper aims at presenting a model-to-data comparison of the Aerosol Optical Thickness (AOT) and of a few sparse data for Single Scattering Albedo (SSA) over Europe for one year. The main contribution of this paper is the sensitivity study to a large number of parameters, including physical and numerical parameters of the aerosol model itself. The optical parameters are computed from a sizeresolved aerosol model embedded in the POLYPHEMUS system. The methodology is first described, showing that several hypothesis can be made for micro-physical aerosol properties. The simulation is made over one year (2001); statistics and monthly time series for the simulation and AERONET data are used to evaluate the ability of the model to reproduce AOT and vertically averaged SSA fields and their variability. The relation with the uncertainties of measurements is discussed. Then a sensitivity study with respect to the mixing state of the particle, the way to take into account water uptake, numerical parameters and physical parameterizations of the model is carried out. The results indicate that the mixing state of particles has an influence on optical parameters, as well as the computation of the wet diameter. But some physical and numerical parameters associated with the aerosol model itself have even more influence under certain conditions, through the uncertainties on the aerosol chemical composition, and their size distribution.

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“…Accumulation mode particles also play an important role in governing the optical properties inside the continental boundary layer. Robles González et al (2003) showed that large aerosol optical depth over continental Central Europe results from a high particle load in the accumulation mode. One reason is the hygroscopicity of continental and urban aerosol in the accumulation mode size range (Kandler and Schütz, 2007) and the resulting effect on the visibility with growing particles at higher relative humidity.…”

Section: Introductionmentioning

confidence: 99%

“…Six EUSAAR supersites were selected for the present analysis to provide continuous measurements of atmospheric properties over Europe in May 2008. Atmospheric conditions govern the lifecycle of aerosol microphysical phenomena by uptake of primary particles and aerosol precursors, providing favourable conditions for new particle formation and transformation processes during transport, and removal of particulate matter from the atmosphere (Raes et al, 2000). Several long term studies investigated the impact of meteorological conditions and different air mass transport paths on local aerosol properties at ground based measurement sites (e.g., Birmili et al, 2001;Tunved et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Overview of the synoptic and pollution situation over Europe during the EUCAARI-LONGREX field campaign

et al. 2011

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Abstract. In May 2008 the EUCAARI-LONGREX aircraft field campaign was conducted within the EUCAARI intensive observational period. The campaign aimed at studying the distribution and evolution of air mass properties on a continental scale. Airborne aerosol and trace gas measurements were performed aboard the German DLR Falcon 20 and the British FAAM BAe-146 aircraft. This paper outlines the meteorological situation over Europe during May 2008 and the temporal and spatial evolution of predominantly anthropogenic particulate pollution inside the boundary layer and the free troposphere.

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Spatial variation of aerosol properties over Europe derived from satellite observations and comparison with model calculations

Cited by 35 publications

References 39 publications

Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns

Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns

Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data

Overview of the synoptic and pollution situation over Europe during the EUCAARI-LONGREX field campaign

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