Remote sensing of aerosols over the oceans using MSG/SEVIRI imagery

Thieuleux, F.; Moulin, C.; Bréon, François‐Marie; Maignan, Fabienne; Poitou, Jean; Tanré, D.

doi:10.5194/angeo-23-3561-2005

Cited by 62 publications

(69 citation statements)

References 17 publications

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“…The main NRT remote-sensing aerosol products were provided by 4-hourly observations from MSG/SEVIRI. The aerosol optical depth (AOD) at 550 nm (AOD 550 ) product is based on Thieuleux et al (2005).…”

Section: Other Measurementsmentioning

confidence: 99%

In situ measurements of desert dust particles above the western Mediterranean Sea with the balloon-borne Light Optical Aerosol Counter/sizer (LOAC) during the ChArMEx campaign of summer 2013

et al. 2018

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Section: Other Measurementsmentioning

confidence: 99%

In situ measurements of desert dust particles above the western Mediterranean Sea with the balloon-borne Light Optical Aerosol Counter/sizer (LOAC) during the ChArMEx campaign of summer 2013

et al. 2018

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“…Over ocean, the target is dark and the spatial and temporal variability of the reflectance is low compared to land. Thus, the main contribution to the TOA reflectance is the atmosphere and the reflectance of the water is negligible as explained in Thieuleux et al (2005) except near coasts and for sun-glint configurations. The difference with the ocean algorithm of Thieuleux et al (2005) is that we assume a very low reflectance for the water.…”

Section: Basis For Aot Retrievalmentioning

confidence: 99%

“…Thus, the main contribution to the TOA reflectance is the atmosphere and the reflectance of the water is negligible as explained in Thieuleux et al (2005) except near coasts and for sun-glint configurations. The difference with the ocean algorithm of Thieuleux et al (2005) is that we assume a very low reflectance for the water. These values are: 2 × 10 −3 for the VIS06 channel, 1 × 10 −4 in the VIS08 channel and 1 × 10 −5 in the NIR16 channel.…”

Section: Basis For Aot Retrievalmentioning

confidence: 99%

“…The capability to retrieve aerosol properties from a geostationary platform and monitor their diurnal cycle has been demonstrated by Knapp (2002) and Knapp et al (2002Knapp et al ( , 2005, using the GOES sensor. Several aerosol studies over ocean have been performed also using the Meteosat first generation satellites (Moulin et al, 1997) and the Meteosat Second Generation (MSG) (Thieuleux et al, 2005).…”

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Description and validation of an AOT product over land at the 0.6 μm channel of the SEVIRI sensor onboard MSG

Bernard

Moulin

Ramon³

et al. 2011

Atmos. Meas. Tech.

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Abstract. The Spinning Enhanced Visible and InfraRed Imager (SEVIRI) aboard Meteosat Second Generation (MSG) launched in 2003 byEUMETSAT is dedicated to the Nowcasting applications and Numerical Weather Prediction and to the provision of observations for climate monitoring and research. We use the data in visible and near infrared (NIR) channels to derive the aerosol optical thickness (AOT) over land. The algorithm is based on the assumption that the top of the atmosphere (TOA) reflectance increases with the aerosol load. This is a reasonable assumption except in case of absorbing aerosols above bright surfaces. We assume that the minimum in a 14-days time series of the TOA reflectance is, once corrected from gaseous scattering and absorption, representative of the surface reflectance. The AOT and the aerosol model (a set of 5 models is used), are retrieved by matching the simulated TOA reflectance with the TOA reflectances measured by SEVIRI in its visible and NIR spectral bands.The high temporal resolution of the data acquisition by SEVIRI allows to retrieve the AOT every 15 min with a spatial resolution of 3 km at sub-satellite point, over the entire SEVIRI disk covering Europe, Africa and part of South America. The resulting AOT, a level 2 product at the native temporal and spatial SEVIRI resolutions, is presented and evaluated in this paper.The AOT has been validated using ground based measurements from AErosol RObotic NETwork (AERONET), a sun-photometer network, focusing over Europe for 3 months Correspondence to: J. Riedi (jerome.riedi@univ-lille1.fr) in 2006. The SEVIRI estimates correlate well with the AERONET measurements, r = 0.64, with a slight overestimate, bias = −0.017. The sources of errors are mainly the cloud contamination and the bad estimation of the surface reflectance. The temporal evolutions exhibited by both datasets show very good agreement which allows to conclude that the AOT Level 2 product from SEVIRI can be used to quantify the aerosol content and to monitor its daily evolution with a high temporal frequency. The comparison with daily maps of Moderate Resolution Imaging Spectroradiometer (MODIS) AOT level 3 product shows qualitative good agreement in the retrieved geographic patterns of AOT.Given the high spatial and temporal resolutions obtained with this approach, our results have clear potential for applications ranging from air quality monitoring to climate studies. This paper presents a first evaluation and validation of the derived AOT over Europe in order to document the overall quality of a product that will be made publicly available to the users of the aforementioned research communities.

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“…A variety of approaches for AOD retrieval from Meteosat Second Generation-Spinning Enhanced Visible and Infrared Imagers (MSG/SEVIRI) data has been published in the literature. This includes studies to retrieve AOD over ocean using MSG/SEVIRI, which demonstrates good comparison of the MSG/SEVIRI AOD with AERONET observations (Thieuleux et al, 2005;Bennouna et al, 2009). As to AOD retrieval over land using MSG/SEVIRI data, Popp et al (2007) used a "background method" which is not suitable for bright surfaces with absorbing aerosol to retrieve the AOD.…”

Section: Introductionmentioning

confidence: 99%

Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data

et al. 2012

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Abstract.A novel approach for the joint retrieval of aerosol optical depth (AOD) and aerosol type, using Meteosat Second Generation -Spinning Enhanced Visible and Infrared Imagers (MSG/SEVIRI) observations in two solar channels, is presented. The retrieval is based on a Time Series (TS) technique, which makes use of the two visible bands at 0.6 µm and 0.8 µm in three orderly scan times (15 min interval between two scans) to retrieve the AOD over land. Using the radiative transfer equation for plane-parallel atmosphere, two coupled differential equations for the upward and downward fluxes are derived. The boundary conditions for the upward and downward fluxes at the top and at the bottom of the atmosphere are used in these equations to provide an analytic solution for the AOD. To derive these fluxes, the aerosol single scattering albedo (SSA) and asymmetry factor are required to provide a solution. These are provided from a set of six pre-defined aerosol types with the SSA and asymmetry factor. We assume one aerosol type for a grid of 1 • ×1 • and the surface reflectance changes little between two subsequent observations. A k-ratio approach is used in the inversion to find the best solution of atmospheric properties and surface reflectance. The k-ratio approach assumes that the surface reflectance is little influenced by aerosol scattering at 1.6 µm and therefore the ratio of surface reflectances in the solar band for two subsequent observations can be wellapproximated by the ratio of the reflectances at 1.6 µm. A further assumption is that the surface reflectance varies only slightly over a period of 30 min. The algorithm makes use of numerical minimisation routines to obtain the optimal solution of atmospheric properties and surface reflectance by selection of the most suitable aerosol type from pre-defined sets.A detailed analysis of the retrieval results shows that it is suitable for AOD retrieval over land from SEVIRI data. Six AErosol RObotic NETwork (AERONET) sites with different surface types are used for detailed analysis and 42 other AERONET sites are used for validation. From 445 collocations representing stable and homogeneous aerosol type, we find that >75 % of the MSG-retrieved AOD at 0.6 and 0.8 µm values compare favourably with AERONET observed AOD values, within an error envelope of ± 0.05 ± 0.15τ and a high correlation coefficient (R>0.86). The AOD datasets derived Published by Copernicus Publications on behalf of the European Geosciences Union. L. Mei et al.: Retrieval of aerosol optical depth over landusing the TS method with SEVIRI data is also compared with collocated AOD products derived from NASA TERRA and AQUA MODIS (The Moderate-resolution Imaging Spectroradiometer) data using the Dark Dense Vegetation (DDV) method and the Deep Blue algorithms. Using the TS method, the AOD could be retrieved for more pixels than with the NASA Deep Blue algorithm. This method is potentially also useful for surface reflectance retrieval using SEVIRI observations. The current paper focuses on AOD retrieval ...

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Remote sensing of aerosols over the oceans using MSG/SEVIRI imagery

Cited by 62 publications

References 17 publications

In situ measurements of desert dust particles above the western Mediterranean Sea with the balloon-borne Light Optical Aerosol Counter/sizer (LOAC) during the ChArMEx campaign of summer 2013

In situ measurements of desert dust particles above the western Mediterranean Sea with the balloon-borne Light Optical Aerosol Counter/sizer (LOAC) during the ChArMEx campaign of summer 2013

Description and validation of an AOT product over land at the 0.6 μm channel of the SEVIRI sensor onboard MSG

Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data

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