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Aerosol retrieval experiments in the ESA Aerosol_cci project

Holzer-Popp, Thomas and de Leeuw, Gerrit and Griesfeller, J. and Martynenko, D. and Klüser, Lars and Bevan, S. and Davies, W. and Ducos, F. and Deuze, J. and Graigner, R.G. and Heckel, A. and von Hoyningen-Huene, Wolfgang and Kolmonen, P. and Litvinov, P. and North, P. and Poulson, C. and Ramon, D. and Siddans, R. and Sogacheva, L. and Tanre, D. and Thomas, G.E. and Vountas, M. and Decloitres, J. and Kinne, S. and Schulz, M. and Pinnock, S. (2013) Aerosol retrieval experiments in the ESA Aerosol_cci project. Atmospheric Measurement Techniques, 6, pp. 1919-1957. Copernicus Publications. DOI: 10.5194/amt-6-1919-2013 ISSN 1867-1381

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Official URL: http://www.atmos-meas-tech.net/6/1919/2013/amt-6-1919-2013.html

Abstract

Within the ESA Climate Change Initiative (CCI) project Aerosol_cci (2010 – 2013), algorithms for the production of long-term total column aerosol optical depth (AOD) datasets from European Earth Observation sensors are developed. Starting with eight existing pre-cursor algorithms three analysis steps are conducted to improve and qualify the algorithms: (1) a series of experiments applied to one month of global data to understand several major sensitivities to assumptions needed due to the ill-posed nature of the underlying inversion problem, (2) a round robin exercise of “best” versions of each of these algorithms (defined using the step 1 outcome) applied to four months of global data to identify mature algorithms, and (3) a comprehensive validation exercise applied to one complete year of global data produced by the algorithms selected as mature based on the round robin exercise. The algorithms tested included four using AATSR, three using MERIS and one using PARASOL. This paper summarizes the first step. Three experiments were conducted to assess the potential impact of major assumptions in the various aerosol retrieval algorithms. In the first experiment a common set of four aerosol components was used to provide all algorithms with the same assumptions. The second experiment introduced an aerosol property climatology, derived from a combination of model and sun photometer observations, as a priori information in the retrievals on the occurrence of the common aerosol components. The third experiment assessed the impact of using a common nadir cloud mask for AATSR and MERIS algorithms in order to characterize the sensitivity to remaining cloud contamination in the retrievals against the baseline dataset versions. The impact of the algorithm changes was assessed for one month (September 2008) of data: qualitatively by inspection of monthly mean AOD maps and quantitatively by comparing daily gridded satellite data against daily averaged AERONET sun photometer observations for the different versions of each algorithm globally (land and coastal) and for three regions with different aerosol regimes. The analysis allowed an assessment of sensitivities of all algorithms which helped define the best algorithm versions for the subsequent round robin exercise; all algorithms (except for MERIS) showed some, in parts significant, improvement. In particular, using common aerosol components and partly also a priori aerosol type climatology is beneficial. On the other hand the use of an AATSR-based common cloud mask meant a clear improvement (though with significant reduction of coverage) for the MERIS standard product, but not for the algorithms using AATSR.

Item URL in elib:https://elib.dlr.de/83887/
Document Type:Article
Title:Aerosol retrieval experiments in the ESA Aerosol_cci project
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Holzer-Popp, Thomasthomas.holzer-popp (at) dlr.deUNSPECIFIED
de Leeuw, GerritFMIUNSPECIFIED
Griesfeller, J.UNSPECIFIEDUNSPECIFIED
Martynenko, D.dmytro.martynenko (at) dlr.deUNSPECIFIED
Klüser, Larslars.klueser (at) dlr.deUNSPECIFIED
Bevan, S.UNSPECIFIEDUNSPECIFIED
Davies, W.UNSPECIFIEDUNSPECIFIED
Ducos, F.UNSPECIFIEDUNSPECIFIED
Deuze, J.UNSPECIFIEDUNSPECIFIED
Graigner, R.G.UNSPECIFIEDUNSPECIFIED
Heckel, A.UNSPECIFIEDUNSPECIFIED
von Hoyningen-Huene, WolfgangUniv. of Bremen, BremenUNSPECIFIED
Kolmonen, P.UNSPECIFIEDUNSPECIFIED
Litvinov, P.UNSPECIFIEDUNSPECIFIED
North, P.UNSPECIFIEDUNSPECIFIED
Poulson, C.UNSPECIFIEDUNSPECIFIED
Ramon, D.UNSPECIFIEDUNSPECIFIED
Siddans, R.UNSPECIFIEDUNSPECIFIED
Sogacheva, L.UNSPECIFIEDUNSPECIFIED
Tanre, D.UNSPECIFIEDUNSPECIFIED
Thomas, G.E.UNSPECIFIEDUNSPECIFIED
Vountas, M.UNSPECIFIEDUNSPECIFIED
Decloitres, J.UNSPECIFIEDUNSPECIFIED
Kinne, S.UNSPECIFIEDUNSPECIFIED
Schulz, M.UNSPECIFIEDUNSPECIFIED
Pinnock, S.UNSPECIFIEDUNSPECIFIED
Date:August 2013
Journal or Publication Title:Atmospheric Measurement Techniques
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:6
DOI :10.5194/amt-6-1919-2013
Page Range:pp. 1919-1957
Publisher:Copernicus Publications
ISSN:1867-1381
Status:Published
Keywords:aerosol retrieval, algorithm experiments, ENVISAT
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Datenprodukte für Klima- und Atmosphärenanwendungen (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Popp, Dr.rer.nat Thomas
Deposited On:18 Nov 2013 21:29
Last Modified:02 May 2019 14:13

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