References

AMT

Atmospheric Measurement Techniques

AMT

Atmos. Meas. Tech.

1867-8548

Copernicus Publications

Göttingen, Germany

10.5194/amt-6-471-2013

Aerosol optical depth (AOD) retrieval using simultaneous GOES-East and GOES-West reflected radiances over the western United States

Zhang

¹ ² Hoff

R. M.

¹ Kondragunta

³ Laszlo

³ Lyapustin

https://orcid.org/0000-0003-1105-5739

⁴

Joint Center for Earth Systems Technology (JCET), University of Maryland Baltimore County, Baltimore, MD, USA

I.M. Systems Group, College Park, MD, USA

NOAA/NESDIS/STAR, College Park, MD, USA

NASA/GSFC, Greenbelt, MD, USA

26 02 2013

6 2 471 486

2013

This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/3.0/

This article is available from https://amt.copernicus.org/articles/6/471/2013/amt-6-471-2013.html

The full text article is available as a PDF file from https://amt.copernicus.org/articles/6/471/2013/amt-6-471-2013.pdf

Aerosol optical depth (AOD) in the western United States is observed independently by both the (Geostationary Operational Environmental Satellites) GOES-East and GOES-West imagers. The GASP (GOES Aerosol/Smoke Product) aerosol optical depth retrieval algorithm treats each satellite as a unique sensor and thus obtains two separate aerosol optical depth values at the same time for the same location. The TOA (the top of the atmosphere) radiances and the associated derived optical depths can be quite different due to the different viewing geometries with large difference in solar-scattering angles. In order to fully exploit the simultaneous observations and generate consistent AOD retrievals from the two satellites, the authors develop a new "hybrid" aerosol optical depth retrieval algorithm that uses data from both satellites. The algorithm uses both GOES-East and GOES-West visible channel TOA reflectance and daily average AOD from GOES Multi-Angle Implementation of Atmospheric Correction (GOES-MAIAC) on low AOD days (AOD less than 0.3), when diurnal variation of AOD is low, to retrieve surface BRDF (Bidirectional Reflectance Distribution Function). The known BRDF shape is applied on subsequent days to retrieve BRDF and AOD. The algorithm is validated at three AERONET sites over the western US. The AOD retrieval accuracy from the "hybrid" technique using the two satellites is similar to that from one satellite over UCSB (University of California Santa Barbara) and Railroad Valley, Nevada. Improvement of the accuracy is observed at Boulder, Colorado. The correlation coefficients between the GOES AOD and AERONET AOD are in the range of 0.67 to 0.81. More than 74% of AOD retrievals are within the error of ±(0.05 + 0.15 τ) compared to AERONET AOD. The hybrid algorithm has more data coverage compared to the single satellite retrievals over surfaces with high surface reflectance. For single observation areas the number of valid AOD data increases from the use of two-single satellite algorithms by 5–80% for the three sites. With the application of the new algorithm, consistent AOD retrievals and better retrieval coverages can be obtained using the data from the two GOES satellite imagers.

References 1

Al-Saadi, J., Szykman, J., Pierce, R. B., Kittaka, C., Neil, D., Chu, D. A., Remer, L., Gumley, L., Prins, E., Weinstock, L., MacDonald, C., Wayland, R., Dimmick, F., and Fishman, J.: Improving National Air Quality Forecasts with Satellite Aerosol Observations, B. Am. Meteorol. Soc., 86, 1249–1261, <a href="http://dx.doi.org/10.1175/BAMS-86-9-1249">https://doi.org/10.1175/BAMS-86-9-1249</a>, 2005.

Anderson, T. L., Charlson, R. J., Winker, D. M., Ogren, J. A., and Holmen, K.: Mesoscale variations of tropospheric aerosols, J. Atmos. Sci., 60, 119–136, 2003.

ASPB and CIMSS Calibration Projects and Research: CIMSS GOES Activities, available at: <a href="http://cimss.ssec.wisc.edu/goes/calibration/">http://cimss.ssec.wisc.edu/goes/calibration/</a>, (last access: 1 December 2011), 2011.

Charlson, R. J., Schwartz, S. E., Hales, J. M., Cess, R. D., Coakley, J. A., Hansen, J. E., and Hoffman, D. J.: Climate forcing by anthropogenesis aerosols, Science, 255, 423–430, 1992.

Chow, J. C., Watson, J. G., Mauderly, J. L., Costa, D. L., Wyzga, R. E., Vedal, S., Hidy, G. M., Altshuler, S. L., Marrack, D., Heuss, J. M., Wolff, G. T., Pope III, C. A., and Dockery, D. W.: Health Effects of Fine Particulate Air Pollution: Lines that Connect, Critical Review disscussion, J. Air Waste Manage. As., 56, 1368–1380, 2006.

EUMETSAT: MSG-SEVIRI Rapid Scanning Service, available at: <a href="http://www.eumetsat.int/Home/Main/Satellites/MeteosatSecondGeneration/Services/SP_20100628161215372">http://www.eumetsat.int/Home/Main/Satellites/MeteosatSecondGeneration/Services/SP_20100628161215372</a> (last access: 14 January 2013), 2013.

GOES I-M databook: available at: <a href="http://goes.gsfc.nasa.gov/text/goes.databook.html">http://goes.gsfc.nasa.gov/text/goes.databook.html</a> (last access: 9 June 2009), 1996.

Heidinger, A. K., Anne, V. R., and Dean, C.: Using MODIS to estimate cloud contamination of the AVHRR data record, J. Atmos. Ocean. Tech., 19, 586–601, 2001.

Hoff, R. and Christopher, S. A.: Remote Sensing of Particulate Matter Air Pollution from Space: Have we reached the promised land, J. Air Waste Manage. As., 59, 642–675, 2009.

Holben, B. N., Eck, T. F., Slutsker, I., Tanré, 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.

Intergovernmental Panel on Climate Change (IPCC): Climate Change 2007, The Physical Science Basis, Cambridge Univ. Press, Cambridge, UK, 2007.

Kaufman, Y. J., Tanré, D., Remer, L. A., Vermote, E., Chu, A., and Holben, B. N.: Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer, J. Geophys. Res., 102, 17051–17067, 1997.

Kiehl, J. T. and Briegleb, B. P.: The radiative roles of sulfate aerosols and greenhouse gases in climate forcing, Science, 260, 311–314, 1993.

Knapp, K. R., Vonder Haar, T. H., and Kaufman, Y. J.: Aerosol optical depth retrieval from GOES-8: Uncertainty study and retrieval validation over South America, J. Geophys. Res., 107, 4055, <a href="http://dx.doi.org/10.1029/2001JD000505">https://doi.org/10.1029/2001JD000505</a>, 2002.

Knapp, K. R., Frouin, F., Kondragunta, S., and Prados, A. I.: Towards aerosol optical depth retrievals over land from GOES visible radiances: Determining surface reflectance, Int. J. Remote Sens., 26, 4097–4116, 2005.

Levy, R. C., Remer, L. A., Mattoo, S., Vermote, E., 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, <a href="http://dx.doi.org/10.1029/2006JD007811">https://doi.org/10.1029/2006JD007811</a>, 2007.

Levy, R. C., Remer, L. A., Kleidman, R. G., Mattoo, S., Ichoku, C., Kahn, R., and Eck, T. F.: Global evaluation of the Collection 5 MODIS dark-target aerosol products over land, Atmos. Chem. Phys., 10, 10399–10420, <a href="http://dx.doi.org/10.5194/acp-10-10399-2010">https://doi.org/10.5194/acp-10-10399-2010</a>, 2010.

Lohmann, U. and Feichter, J.: Global indirect aerosol effects: a review, Atmos. Chem. Phys., 5, 715–737, <a href="http://dx.doi.org/10.5194/acp-5-715-2005">https://doi.org/10.5194/acp-5-715-2005</a>, 2005.

Lucht, W., Schaaf, C. B., and Strahler, A. H.: An Algorithm for the retrieval of albedo from space using semiempirical BRDF models, IEEE T. Geosci. Remote, 38, 977–998, 2000.

Lyapustin, A. and Knyazikhin, Y.: Green's function method in the radiative transfer problem. I: Homogeneous non-Lambertian surface, Appl. Optics, 50, 3495–3501, 2001.

Lyapustin, A. and Wang, Y.: Parameterized code Sharm-3D for radiative transfer over inhomogeneous surfaces, Appl. Optics, 55, 7602–7610, 2005.

Lyapustin, A. and Wang, Y.: MAIAC: multi-angle implementation of atmospheric correction for MODIS, algorithm theoretical basis document (ver. 1.0), 2008.

Lyapustin, A., Martonchik, J., Wang, Y., Laszlo, I., and Korkin, S.: Multiangle implementation of atmospheric correction (MAIAC): 1. Radiative transfer basis and look-up tables, J. Geophys. Res., 116, D03210, <a href="http://dx.doi.org/10.1029/2010JD014985">https://doi.org/10.1029/2010JD014985</a>, 2011a.

Lyapustin, A., Wang, Y., Laszlo, I., Kahn, R., Korkin, S., Remer, L., Levy, R., and Reid, J. S.: Multiangle implementation of atmospheric correction (MAIAC): 2. Aerosol algorithm, J. Geophys. Res., 116, D03211, <a href="http://dx.doi.org/10.1029/2010JD014986">https://doi.org/10.1029/2010JD014986</a>, 2011b.

Maignan, F., Bréon, F.-M., and Lacaze, R.: Bidirectional reflectance of Earth targets: Evaluation of analytical models using a large set of spaceborne measurements with emphasis on the Hot spot, Remote Sens. Environ., 90, 210–220, 2004.

Nguyen, L., Doelling, D. R., Minnis, P., and Ayers, J. K.: Rapid technique to cross-calibrate satellite imager with visible channels, EarthObserving Systems IX, edited by: Barnes, W. L. and Butler, J. J., International Society for Optical Engineering, SPIE Proceedings, Vol. 5542, 227–235, 2004.

NOAA GOES Calibration site: available at: <a href="http://www.star.nesdis.noaa.gov/smcd/spb/fwu/homepage/GOES_star_cal.php">http://www.star.nesdis.noaa.gov/smcd/spb/fwu/homepage/GOES_star_cal.php</a> (last access: 1 December 2011), 2011.

Pope III, C. A. and Dockery, D. W.: Health Effects of Fine Particulate Air Pollution: Lines that Connect, Critical Review, J. Air Waste Manage. As., 56, 709–742, 2006.

Popp, C., Hauser, A., Foppa, N., and Wunderle, S.: Remote sensing of aerosol optical depth over central Europe from MSG-SEVIRI data and accuracy assessment with ground-based AERONET measurements, 112, D24S11, <a href="http://dx.doi.org/10.1029/2007JD008423">https://doi.org/10.1029/2007JD008423</a>, 2007.

Prados, A. I., Kondragunta, S., Ciren, P., and Knapp, K. R.: GOES Aerosol/Smoke Product (GASP) over North America: Comparisons to AERONET and MODIS observations, J. Geophys. Res., 112, D15201, <a href="http://dx.doi.org/10.1029/2006JD007968">https://doi.org/10.1029/2006JD007968</a>, 2007.

Ramanathan, V., Crutzen, P. J., Kiehl, J. T., and Rosenfeld, D.: Aerosols, climate and the hydrological cycle, Science, 294, 2119–2124, 2001.

Roujean, J. L., Leroy, M., and Deschamps, P. Y.: A bidirectional reflectance model of the Earth's surface for the correction of remote sensing data, J. Geophys. Res., 97, 20455–20468, 1992.

Schaaf, C. B., Gao, F., Strahler, A. H., Lucht, W., Li, X., Tsang, T., Strugnell, N. C., Zhang, X., Jin, Y., Muller, J.-P., Lewis, P., Barnsley, M., Hobson, P., Disney, M., Roberts, G., Dunderdale, M., Doll, C., d'Entremont, R., Hu, B., Liang, S., and Privette, J. L.: First operational BRDF, albedo and nadir reflectance products from MODIS, Remote Sens. Environ., 83, 135–148, 2002.

Schmit, T. J., Li, J., Gurka, J. J., Goldberg, M. D., Schrab, K. J., Li, J., and Feltz, W. F.: The GOES-R Advanced Baseline Imager and the continuation of current sounder products, J. Appl. Meteor. Clim., 47, 2696–2711, <a href="http://dx.doi.org/10.1175/2008JAMC1858.1">https://doi.org/10.1175/2008JAMC1858.1</a>, 2008.

Smirnov, A., Holben, B. N., Eck, T. F., Slutsker, I., Chatenet, B., and Pinker, R. T.: Diurnal variability of aerosol optical depth observed at AERONET (Aerosol Robotic Network) sites, Geophys. Res. Lett. , 29, 2115, <a href="http://dx.doi.org/10.1029/2002GL016305">https://doi.org/10.1029/2002GL016305</a>, 2002.

Stowe, L. L., Davis, P. A., and McClain, E. P.: Scientific basis and initial evaluation of CLAVR-1 global clear/cloud classification algorithm for the advanced very high resolution radiometer, J. Atmos. Ocean. Tech., 16, 656–681, 1999.

Vermote, E. F. and Kotchenova, S.: Atmospheric correction for the monitoring of land surfaces, J. Geophys. Res., 113, D23S90, <a href="http://dx.doi.org/10.1029/2007JD009662">https://doi.org/10.1029/2007JD009662</a>, 2008.

Weinreb, M. P., Jamison, M., Fulton, N., Chen, Y., Johnson, J. X., Bremer, J., Smith, C., and Baucom, J.: Operational calibration of Geostationary Operational Environmental Satellite-8 and -9 imagers and sounders, Appl. Optics, 36, 6895–6904, 1997.

Wang, Y., Lyapustin, A., Privette, J., Cook, R., SanthanaVannan, S. K., Vermote, E., and Schaaf, C.: Assessment of Biases in MODIS Surface Reflectance Due to Lambertian Approximation, Remote Sens. Environ., 114, 2791–2801, <a href="http://dx.doi.org/10.1016/j.rse.2010.06.013">https://doi.org/10.1016/j.rse.2010.06.013</a>, 2010.

Zhang, H., Hoff, R. M., McCann, K., Ciren, P., Kondragunta, S., and Prados, A.: Influence of the ozone and water vapor on the GOES Aerosol and Smoke Product (GASP) retrieval, NOAA Technical report NESDIS 128, 2008.

Zhang, H., Hoff, R. M., and Kondragunta, S.: Development of IDEA product for GOES-R aerosol data, Proc. SPIE, 7456, 74560O, <a href="http://dx.doi.org/10.1117/12.828095">https://doi.org/10.1117/12.828095</a>, 2009.

Zhang, H., Lyapustin, A., Wang, Y., Kondragunta, S., Laszlo, I., Ciren, P., and Hoff, R. M.: A multi-angle aerosol optical depth retrieval algorithm for geostationary satellite data over the United States, Atmos. Chem. Phys., 11, 11977–11991, <a href="http://dx.doi.org/10.5194/acp-11-11977-2011">https://doi.org/10.5194/acp-11-11977-2011</a>, 2011.