Atmospheric Measurement Techniques Discussions
www.atmos-meas-tech-discuss.net
1867-8610
3
1
2010
10.5194/amtd-3-785-2010
http://www.atmos-meas-tech-discuss.net/3/785/2010/
http://www.atmos-meas-tech-discuss.net/3/785/2010/amtd-3-785-2010.html
http://www.atmos-meas-tech-discuss.net/3/785/2010/amtd-3-785-2010.pdf
785
819
2010-02-22
Validation of a modified AVHRR aerosol optical depth retrieval algorithm over Central Europe
M. Riffler
riffler@giub.unibe.ch
C. Popp
A. Hauser
F. Fontana
S. Wunderle
Institute of Geography, University of Bern, Bern, Switzerland
Swiss Federal Laboratories for Materials Testing and Research (EMPA), Dübendorf, Switzerland
EADS Astrium GmbH, Immenstaad, Germany
The Advanced Very High Resolution Radiometer (AVHRR) carried on board
the National Oceanic and Atmospheric Administration (NOAA) and the
Meteorological Operational Satellite (MetOp) polar orbiting satellites
is the only instrument offering more than 25 years of satellite data
to analyse aerosols on a daily basis. The present study assessed
a modified AVHRR aerosol optical depth τ<sub>a</sub> retrieval over
land. The initial approach has used a relationship between Sun
photometer measurements from the Aerosol Robotic Network (AERONET) and
the satellite data to post-process the retrieved τ<sub>a</sub>. Herein
a stand-alone procedure, which is more suitable for the pre-AERONET
era, is presented. In addition, the estimation of surface reflectance,
threshold values, and the aerosol model are adapted. The method's
cross-platform applicability was tested by validating τ<sub>a</sub> from
NOAA-17 and NOAA-18 AVHRR at 15 AERONET sites in Central Europe
(40.5° N–50° N, 0° E–17° E) from August
2005 to December 2007. Furthermore, the accuracy of the AVHRR
retrieval was related to products from two newer instruments, the
Medium Resolution Imaging Spectrometer (MERIS) on board the
Environmental Satellite (ENVISAT) and the Moderate Resolution Imaging
Spectroradiometer (MODIS) on board Aqua/Terra. Considering the linear
correlation coefficient <i>R</i>, the AVHRR results were similar to
those of MERIS with even lower root mean square error
RMSE. Not surprisingly, MODIS, with its high spectral
coverage gave the highest <i>R</i> and lowest RMSE.
Regarding monthly averaged τ<sub>a</sub>, the results were
ambiguous. Focusing on small-scale structures, <i>R</i> was reduced
for all sensors, whereas the RMSE solely for MERIS
substantially increased. Regarding larger areas like Central Europe,
the error statistics were similar to the individual match-ups. This
was mainly explained with sampling issues. With the successful
validation of AVHRR we are now able to concentrate on our large data
archive dating back to 1985. This is a unique opportunity for both
climate and air pollution studies over land surfaces.
Anderson,~T L., Charlson,~R J., Winker,~D M., Ogren,~J A., and Holmén,~K.: Mesoscale variations of tropospheric aerosols, J Atmos. Sci., 60, 119–136, 2003.
Bicheron,~P., Defourny, P., Brockmann, C., Schouten, L., Vancutsem, C., Huc, M., Bontemps, S., Leroy, M., Achard, F., Herold, M., Ranera, F., and Arino, O.: GLOBCOVER – Products description and validation report, MEDIAS-France/POSTEL, Toulouse Cedex, France, 47~pp., 2008.
Borde,~R., Ramon,~D., Schmechtig,~C., and Santer,~R.: Extension of the DDV concept to retrieve aerosol properties over land from the Modular Optoelectronic Scanner (MOS) sensor, Int. J. Remote Sens., 24(7), 1439–1467, 2003.
Chu,~D A., Kaufman,~Y J., Ichoku,~C., Remer,~L A., Tanré,~D., and Holben,~B N.: Validation of MODIS aerosol optical depth retrieval over land, Geophys. Res. Lett., 29(12), MOD2, \doi10.1029/2001GL013205, 2002.
Dubovik,~O., Smirnov,~A., Holben,~B., King,~M D., Kaufman,~Y J., Eck,~T F., and Slutsker,~I.: Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements, J Geophys. Res., 105(D8), 9791–9806, 2000.
Dubovik,~O. and King,~M D.: A~flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements, J Geophys. Res., 105(D16), 20673–20696, 2000.
Dubovik,~O., Holben,~B., Eck,~T F., Smirnov,~A., Kaufman,~Y J., King,~M D., Tanré,~D., and Slutsker,~I.: Variability of absorption and optical properties of key aerosol types observed in worldwide locations. J Atmos. Sci., 59, 590–608, 2002.
Geogdzhayev,~I V., Mishchenko,~M I., Rossow,~W B., Cairns,~B., and Lacis,~A. A.: Global two-channel AVHRR retrievals of aerosol properties over the ocean for the period of NOAA-9 observations and preliminary retrievals using NOAA-7 and NOAA-11 data, J Atmos. Sci., 59, 262–278, 2002.
Hauser,~A., Oesch,~D., Foppa,~N., and Wunderle,~S.: NOAA AVHRR derived aerosol optical depth over land, J Geophys. Res., 110, D08204, \doi10.1029/2004JD005439, 2005a.
Hauser,~A., Oesch,~D., and Foppa,~N.: Aerosol optical depth over land: comparing AERONET, AVHRR and MODIS, Geophys. Res. Lett., 32, L17816, \doi10.1029/2005GL023579, 2005b.
Holben,~B N., Eck, T. F., Slutsker, I., Tanré, D., Buis, J. P., Setzer, A., Vermote, E., Reagan, J. A., Kaufman, Y. J., Nakajima, T., Lavenu, F., Jankowiak, I., and Smirnov, A.: AERONET – A~federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66, 1–16, 1998.
Horvath,~H.: Estimation of the average visibility in Central Europe, Atmos. Environ., 29(2), 241–246, 1995.
Ignatov,~A., Sapper,~J. , Cox,~S. , Laszlo,~I., Nalli,~N R., and Kidwell,~K B.: Operational Aerosol Observations (AEROBS) from AVHRR/3 on board NOAA-KLM satellites, J. Atmos. Ocean. Tech., 21, 3–26, 2004.
Intergovernmental Panel on Climate Change (IPCC): The Physical Science Basis: Working Group~I. Contribution to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, UK, New York, NY, USA, 2007.
Kaufman,~Y. J. and Tanré,~D.: Strategy for direct and indirect methods for correcting the aerosol effect on remote sensing: from AVHRR to EOS-MODIS, Remote Sens. Environ., 55(1), 65–79, 1996.
Kaufman,~Y J. and Sendra,~C.: Algorithm for automatic corrections to visible and near-infrared satellite imagery, Int. J. Remote Sens., 9, 1357–1381, 1988.
Kaufman,~Y. J., Tanré,~D., Remer,~L. A., Vermote,~E. F., Chu,~A., and Holben,~B. N.: Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer, J Geophys. Res., 102(D14), 17051–17067, 1997.
Knapp,~K R. and Stowe,~L L.: Evaluating the potential for retrieving aerosol optical depth over land from AVHRR Pathfinder Atmosphere data, J Atmos. Sci., 59, 279–293, 2002.
Kokhanovsky,~A. A., Breon, F.-M., Cacciari, A., Carboni, E., Diner, D., Di Nicolantonio, W., Grainger, R. G., Grey, W. M. F., Höller, R., Lee, K.-H., Li, Z., North, P. R. J., Sayer, A. M., Thomas, G. E., and von Hoyningen-Huene, W.: Aerosol remote sensing over land: a~comparison of satellite retrievals using different algorithms and instruments, Atmos. Res., 85, 372–394, 2007.
Levy,~R. C., Remer,~L. A., Mattoo,~S., Vermote,~E. F., and Kaufman,~Y. J.: Second-generation operational algorithm: retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance, J Geophys. Res., 112, D13211, \doi10.1029/2006JD007811, 2007a.
Levy,~R. C., Remer,~L. A., and Dubovik,~O.: Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land, J Geophys. Res., 112, D13210, \doi10.1029/2006JD007815, 2007b.
Li, Z., Zhao, X., Kahn, R., Mishchenko, M., Remer, L., Lee, K.-H., Wang, M., Laszlo, I., Nakajima, T., and Maring, H.: Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: a review and perspective, Ann. Geophys., 27, 2755–2770, 2009.
Matthias,~V., Balis, D., Bösenberg, J., Eixmann, R., Iarlori, M., Komguem, L., Mattis, I., Papayannis, A., Pappalardo, G., Perrone, M. R., and Wang X.: Vertical aerosol distribution over Europe: statistical analysis of Raman lidar data from 10 European Aerosol Research Lidar Network (EARLINET) stations, J Geophys. Res., 109, D18201, \doi10.1029/2004JD004638, 2004.
Mishchenko,~M. I., Geogdzhayev,~I. V., Cairns,~B., Rossow,~W. B., and Lacis,~A. A.: Aerosol retrievals over the ocean by use of channels~1 and~2 AVHRR data: sensitivity analysis and preliminary results, Appl. Optics, 38, 7325–7341, 1999.
Mishchenko,~M. I. and Geogdzhayev,~I. V.: Satellite remote sensing reveals regional tropospheric aerosol trends, Opt. Express, 15, 7423–7438, 2007.
Myhre, G., Stordal, F., Johnsrud, M., Diner, D. J., Geogdzhayev, I. V., Haywood, J. M., Holben, B. N., Holzer-Popp, T., Ignatov, A., Kahn, R. A., Kaufman, Y. J., Loeb, N., Martonchik, J. V., Mishchenko, M. I., Nalli, N. R., Remer, L. A., Schroedter-Homscheidt, M., Tanré, D., Torres, O., and Wang, M.: Intercomparison of satellite retrieved aerosol optical depth over ocean during the period September 1997 to December 2000, Atmos. Chem. Phys., 5, 1697–1719, 2005.
Rahman,~H. and Dedieu,~G.: SMAC: a~simplified method for the atmospheric correction of satellite measurements in the solar spectrum, Int. J. Remote Sens., 15(1), 123–143, 1994.
Remer,~L. A., Kaufman, Y. J., Tanré, D., Mattoo, S., Chu, D. A., Martins, J. V., Li, R.-R., Ichoku, C., Levy, R. C., Kleidman, R. G., Eck, T. F., Vermote, E., and Holben, B. N.: Global aerosol climatology from the MODIS satellite sensors, J Geophys. Res., 113, D14S07, \doi10.1029/2007JD009661, 2008
Samet,~J. M., Zeger,~S. L., Dominici,~F., Curriero,~F., Coursac,~I., Dockery,~D. W., Schwartz,~J., and Zanobetti,~A.: The national morbidity, mortality, and air pollution study, Part~II: Morbidity and mortality from air pollution in the United States, Health Effects Institute Report~94, Cambridge, MA, USA, 89~pp., 2000.
Santer,~R., Carrere,~V., Dubuisson,~P., and Roger,~J. C.: Atmospheric correction over land for MERIS, Int. J. Remote Sens., 20(9), 1819–1840, 1999.
Santer,~R., Ramon,~D., Vidot,~J., and Dilligeard,~E.: A~surface reflectance model for aerosol remote sensing over land, Int. J. Remote Sens., 28(3), 737–760, 2007.
Soufflet,~V., Tanré,~D., Royer,~A., and O'Neill,~N T.: Remote sensing of aerosols over boreal forest and lake water from AVHRR data, Remote Sens. Environ., 60, 22–34, 1997.
Vermote,~E., Tanré,~D., and Morcrette,~J.-J.: Second simulation of the satellite signal in the solar spectrum, 6S:~an overview, IEEE T. Geosci. Remote, 35(3), 675–686, 1997.
Vidot, J., Santer, R., and Aznay, O.: Evaluation of the MERIS aerosol product over land with AERONET, Atmos. Chem. Phys., 8, 7603–7617, 2008.
Yu, H., Kaufman, Y. J., Chin, M., Feingold, G., Remer, L. A., Anderson, T. L., Balkanski, Y., Bellouin, N., Boucher, O., Christopher, S., DeCola, P., Kahn, R., Koch, D., Loeb, N., Reddy, M. S., Schulz, M., Takemura, T., and Zhou, M.: A review of measurement-based assessments of the aerosol direct radiative effect and forcing, Atmos. Chem. Phys., 6, 613–666, 2006.
Zhang,~J., Christopher,~S. A., and Holben,~B. N.: Intercomparison of smoke aerosol optical thickness derived from GOES~8 imager and ground-based Sun photometers, J Geophys. Res., 106(D7), 7387–7397, 2001.