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Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis

de Leeuw, Gerrit and Holzer-Popp, Thomas and Bevan, S. and Davies, J. and Decloitres, J. and Grainger, R. G. and Griesfeller, J. and Heckel, A. and Klüser, Lars and Kolmonen, P. and Litvinov, P. and Martynenko, M. and North, P. and Ovigneur, B. and Pacal, N. and Poulson, C. and Ramon, D. and Schulz, M. and Siddans, R. and Sogacheva, L. and Tanre, D. and Thomas, G. and Virtanen, D. and von Hoyningen-Huene, Wolfgang and Vountas, M. and Pinnock, S. (2015) Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis. Remote Sensing of Environment, 162, pp. 295-315. Elsevier. DOI: 10.1016/j.rse.2013.04.023 ISSN 0034-4257

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Abstract

Satellite data are increasingly used to provide observation-based estimates of the effects of aerosols on climate. The Aerosol-cci project, part of the European Space Agency‟s Climate Change Initiative (CCI), was designed to provide essential climate variables for aerosols from satellite data. Eight algorithms, developed for the retrieval of aerosol properties using data from AATSR (4), MERIS (3) and POLDER, were evaluated to determine their suitability for climate studies. The primary result from each of these algorithms is the aerosol optical depth (AOD) at several wavelengths, together with the Ångström exponent (AE) which describes the spectral variation of the AOD for a given wavelength pair. Other aerosol parameters which are possibly retrieved from satellite observations are not considered in this paper. The AOD and AE (AE only for Level 2) were evaluated against independent collocated observations from the ground-based AERONET sun photometer network and against “reference” satellite data provided by MODIS and MISR. Tools used for the evaluation were developed for daily products as produced by the retrieval with a spatial resolution of 10x10km2 (Level 2) and daily or monthly aggregates (Level 3). These tools include statistics for L2 and L3 products compared with AERONET, as well as scoring based on spatial and temporal correlations. In this paper we describe their use in a round robin (RR) evaluation of four months of data, one month for each season in 2008. The amount of data was restricted to only four months because of the large effort made to improve the algorithms, and to evaluate the improvement and current status, before larger data sets will be processed. Evaluation criteria are discussed. Results presented show the current status of the European aerosol algorithms in comparison to both AERONET and MODIS and MISR data. The comparison leads to a preliminary conclusion that the scores are similar, including those for the references, but the coverage of AATSR needs to be enhanced and further improvements are possible for most algorithms. None of the algorithms, including the references, outperforms all others everywhere. AATSR data can be used for the retrieval of AOD and AE over land and ocean. PARASOL and one of the MERIS algorithms have been evaluated over ocean only and both algorithms provide good results.

Item URL in elib:https://elib.dlr.de/96719/
Document Type:Article
Title:Evaluation of seven European aerosol optical depth retrieval algorithms for climate analysis
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
de Leeuw, Gerritgerrit.leeuw (at) fmi.fiUNSPECIFIED
Holzer-Popp, Thomasthomas.holzer-popp (at) dlr.deUNSPECIFIED
Bevan, S.UNSPECIFIEDUNSPECIFIED
Davies, J.UNSPECIFIEDUNSPECIFIED
Decloitres, J.UNSPECIFIEDUNSPECIFIED
Grainger, R. G.UNSPECIFIEDUNSPECIFIED
Griesfeller, J.UNSPECIFIEDUNSPECIFIED
Heckel, A.UNSPECIFIEDUNSPECIFIED
Klüser, Larslars.klueser (at) dlr.deUNSPECIFIED
Kolmonen, P.UNSPECIFIEDUNSPECIFIED
Litvinov, P.UNSPECIFIEDUNSPECIFIED
Martynenko, M.dmytro.martynenko (at) dlr.deUNSPECIFIED
North, P.UNSPECIFIEDUNSPECIFIED
Ovigneur, B.UNSPECIFIEDUNSPECIFIED
Pacal, N.UNSPECIFIEDUNSPECIFIED
Poulson, C.UNSPECIFIEDUNSPECIFIED
Ramon, D.UNSPECIFIEDUNSPECIFIED
Schulz, M.UNSPECIFIEDUNSPECIFIED
Siddans, R.UNSPECIFIEDUNSPECIFIED
Sogacheva, L.UNSPECIFIEDUNSPECIFIED
Tanre, D.UNSPECIFIEDUNSPECIFIED
Thomas, G.UNSPECIFIEDUNSPECIFIED
Virtanen, D.UNSPECIFIEDUNSPECIFIED
von Hoyningen-Huene, WolfgangUniv. of Bremen, BremenUNSPECIFIED
Vountas, M.UNSPECIFIEDUNSPECIFIED
Pinnock, S.UNSPECIFIEDUNSPECIFIED
Date:2015
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:162
DOI :10.1016/j.rse.2013.04.023
Page Range:pp. 295-315
Publisher:Elsevier
ISSN:0034-4257
Status:Published
Keywords:Aerosol retrieval algorithms, Aerosol optical depth, AATSR, MERIS, PARASOL
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 Jun 2015 09:01
Last Modified:10 Jan 2019 15:50

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