TY - JOUR
T1 - Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments
AU - Kokhanovsky, A.A.
AU - Breon, F.-M.
AU - Cacciari, A.
AU - Carboni, E.
AU - Diner, D.
AU - Di Nicolantonio, W.
AU - Grainger, R.G.
AU - Grey, W.M.F.
AU - Höller, R.
AU - Lee, K.-H.
AU - Li, Z.
AU - North, P.R.J.
AU - Sayer, A.M.
AU - Thomas, G.E.
AU - von Hoyningen-Huene, W.
N1 - Funding Information:
AERONET is acknowledged with respect to providing ground truth AOT data. The official ESA MERIS AOT product was provided by Philippe Garnesson (ACRI-ST) in the framework of PROMOTE. ESA and NASA are acknowledged for providing the satellite data. The authors thank their team members for the discussions and collaboration. The research of David Diner is carried out at the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. William Grey is funded by the UK Natural Environment Research Council through the Climate and Land-Surface Systems Interaction Centre. The research of K.-H. Lee was supported by the Korean Research Foundation Grant funded by the Korean Government (MOEHRD) (KRF-2006-611-C00009). This work is dedicated to the memory of Yoram Kaufman, who made important contributions to the aerosol remote sensing over land. Centre National d'Etudes spatiales (France) is acknowledged for developing PARASOL and providing the data.
PY - 2007/9
Y1 - 2007/9
N2 - An inter-comparison study of the aerosol optical thickness (AOT) at 0.55 μm retrieved using different satellite instruments and algorithms based on the analysis of backscattered solar light is presented for a single scene over central Europe on October 13th, 2005. For the first time comparisons have been performed for as many as six instruments on multiple satellite platforms. Ten different algorithms are briefly discussed and inter-compared. It was found that on the scale of a single pixel there can be large differences in AOT retrieved over land using different retrieval techniques and instruments. However, these differences are not as pronounced for the average AOT over land. For instance, the average AOT at 0.55 μm for the area 7–12E, 49–53N was equal to 0.14 for MISR, NASA MODIS and POLDER algorithms. It is smaller by 0.01 for the ESA MERIS aerosol product and larger by 0.04 for the MERIS BAER algorithm. AOT as derived using AATSR gives on average larger values as compared to all other instruments, while SCIAMACHY retrievals underestimate the aerosol loading. These discrepancies are explained by uncertainties in a priori assumptions used in the different algorithms and differences in the sensor characteristics. Validation against AERONET shows that MERIS provides the most accurate AOT retrievals for this scene.
AB - An inter-comparison study of the aerosol optical thickness (AOT) at 0.55 μm retrieved using different satellite instruments and algorithms based on the analysis of backscattered solar light is presented for a single scene over central Europe on October 13th, 2005. For the first time comparisons have been performed for as many as six instruments on multiple satellite platforms. Ten different algorithms are briefly discussed and inter-compared. It was found that on the scale of a single pixel there can be large differences in AOT retrieved over land using different retrieval techniques and instruments. However, these differences are not as pronounced for the average AOT over land. For instance, the average AOT at 0.55 μm for the area 7–12E, 49–53N was equal to 0.14 for MISR, NASA MODIS and POLDER algorithms. It is smaller by 0.01 for the ESA MERIS aerosol product and larger by 0.04 for the MERIS BAER algorithm. AOT as derived using AATSR gives on average larger values as compared to all other instruments, while SCIAMACHY retrievals underestimate the aerosol loading. These discrepancies are explained by uncertainties in a priori assumptions used in the different algorithms and differences in the sensor characteristics. Validation against AERONET shows that MERIS provides the most accurate AOT retrievals for this scene.
KW - Satellite remote sensing
KW - Atmospheric optics
KW - Aerosols
KW - Aerosols
KW - Atmospheric optics
KW - Satellite remote sensing
UR - http://www.scopus.com/inward/record.url?scp=34547892648&partnerID=8YFLogxK
U2 - 10.1016/j.atmosres.2007.02.008
DO - 10.1016/j.atmosres.2007.02.008
M3 - Article
SN - 0169-8095
VL - 85
SP - 372
EP - 394
JO - Atmospheric Research
JF - Atmospheric Research
IS - 3-4
ER -