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

REMOTE SENSING OF ENVIRONMENT

卷:162

Article

de Leeuw, Gerrit^1,2,3  Holzer-Popp, Thomas⁴  Bevan, Suzanne⁵  Davies, William H.⁵  Descloitres, Jacques⁶  Grainger, Roy G.⁷  Heckel, Andreas⁵  Kinne, Stefan⁹  Klueser, Lars^4,10  Kolmonen, Pekka¹  Litvinov, Pavel¹³  Martynenko, Dmytro⁴  North, Peter⁵  Ovigneur, Bertrand⁶  Pascal, Nicolas^6,12  Poulsen, Caroline¹¹  Ramon, Didier¹²  Schulz, Michael⁸  Sogacheva, Larisa¹  Tanre, Didier¹³  Thomas, Gareth E.⁷  Virtanen, Timo H.¹  Huene, Wolfgang von Hoyningen¹⁴  Vountas, Marco¹⁴  Pinnock, Simon¹⁵ 

[1] Finnish Meteorol Inst, FI-00101 Helsinki, Finland

[2] Univ Helsinki, Dept Phys, FI-00014 Helsinki, Finland

[3] TNO Environm & Geosci, Dept Air Qual & Climate, NL-3508 TA Utrecht, Netherlands

[4] DLR German Aerosp Ctr, German Remote Sensing Data Ctr DFD, D-82234 Oberpfaffenhofen, Germany

[5] Swansea Univ, Coll Sci, Dept Geog, Global Environm Modelling & Earth Observat, Swansea SA2 8PP, W Glam, Wales

[6] Univ Lille 1, ICARE Data & Serv Ctr, ICARE CNRS, F-59655 Villeneuve Dascq, France

[7] Clarendon Lab, Atmospher Ocean & Planetary Phys, Oxford OX1 3PU, England

[8] Norwegian Meteorol Inst, Dept Res & Dev, N-0313 Oslo, Norway

[9] Max Planck Inst Meteorol MPI, Hamburg, Germany

[10] Univ Augsburg, Expt Phys 2, D-86135 Augsburg, Germany

[11] STFC Rutherford Appleton Lab, Chilton OX11 0QX, England

[12] HYGEOS, Euratechnol, F-59000 Lille, France

[13] Univ Lille 1, CNRS, Opt Atmospher Lab, F-59655 Villeneuve Dascq, France

[14] Univ Bremen, Inst Environm Phys, D-28359 Bremen, Germany

[15] ESA, ESRIN, Frascati, Italy

关键词: Aerosol retrieval algorithms;    Aerosol optical depth;    AATSR;    MERIS;    PARASOL;   

DOI  :  10.1016/j.rse.2013.04.023

来源: Elsevier

【 摘 要 】

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 (Ca), 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 (ADD) at several wavelengths, together with the Angstrom exponent (AE) which describes the spectral variation of the ADD 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 10 x 10 km(2) (Level 2) and daily or monthly aggregates (Level 3). These tools include statistics for 12 and 12 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. (C) 2013 Elsevier Inc. All rights reserved.

【 授权许可】

Free