References

ACP

Atmospheric Chemistry and Physics

ACP

1680-7324

Copernicus GmbH

Göttingen, Germany

10.5194/acp-12-3025-2012

The comparison of MODIS-Aqua (C5) and CALIOP (V2 & V3) aerosol optical depth

Redemann

¹ Vaughan

M. A.

² Zhang

¹ Shinozuka

¹ Russell

P. B.

³ Livingston

J. M.

⁴ Kacenelenbogen

¹ Remer

L. A.

⁵

BAER Institute/NASA Ames, 4742 Suffolk Ct., Ventura, CA 93003, USA

NASA Langley Research Center, Hampton, VA 23681, USA

NASA Ames Research Center, MS 245-5, Bldg. 245, P.O. Box 1, Moffett Field, CA 94035, USA

SRI, International, 333 Ravenswood Ave., Menlo Park, CA 94025, USA

NASA Goddard Space Flight Center, code 613.2, Bldg. 33, Greenbelt, MD 20771, USA

28 03 2012

12 6 3025 3043

This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

This article is available from http://www.atmos-chem-phys.net/12/3025/2012/acp-12-3025-2012.html

The full text article is available as a PDF file from http://www.atmos-chem-phys.net/12/3025/2012/acp-12-3025-2012.pdf

We assess the consistency between instantaneously collocated level-2 aerosol optical depth (AOD) retrievals from MODIS-Aqua (C5) and CALIOP (Version 2 & 3), comparing the standard MODIS AOD (MYD04_L2) data to the AOD calculated from CALIOP aerosol extinction profiles for both the previous release (V2) and the latest release (V3) of CALIOP data. Based on data collected in January 2007, we investigate the most useful criteria for screening the MODIS and CALIOP retrievals to achieve the best agreement between the two data sets. Applying these criteria to eight months of data (Jan, Apr, Jul, Oct 2007 and 2009), we find an order of magnitude increase for the CALIOP V3 data density (by comparison to V2), that is generally accompanied by equal or better agreement with MODIS AOD. Differences in global, monthly mean, over-ocean AOD (532 nm) between CALIOP and MODIS range between 0.03 and 0.04 for CALIOP V3, with CALIOP generally biased low, when all available data from both sensors are considered. Root-mean-squares (RMS) differences in instantaneously collocated AOD retrievals by the two instruments are reduced from values ranging between 0.14 and 0.19 using the unscreened V3 data to values ranging from 0.09 to 0.1 for the screened data. A restriction to scenes with cloud fractions less than 1% (as defined in the MODIS aerosol retrievals) generally results in improved correlation (<i>R</i><sup>2</sup>>0.5), except for the month of July when correlations remain relatively lower. Regional assessments show hot spots in disagreement between the two sensors in Asian outflow during April and off the coast of South Africa in July.

References 1

Bréon, F.-M., Vermeulen, A., and Descloitres, J.: An evaluation of satellite aerosol products against sunphotometer measurements, Remote Sens. Environ., 115, 3102–3111, 2011.

Hu, Y., Winker, D., Vaughan, M., Lin, B., Omar, A., Trepte, C., Flittner, D., Yang, P., Nasiri, S. L., Baum, B., Holz, R., Sun, W., Liu, Z., Wang, Z., Young, S., Stamnes, K., Huang, J., Kuehn, R.: CALIPSO/CALIOP Cloud Phase Discrimination Algorithm, J. Atmos. Oceanic Technol., 26, 2293–2309, http://dx.doi.org/10.1175/2009JTECHA1280.1, 2009.

Huang, J., Hsu, N. C., Tsay, S.-C., Jeong, M.-J., Holben, B. N., Berkoff, T. A., and Welton, E. J.: Susceptibility of aerosol optical thickness retrievals to thin cirrus contamination during the BASE-ASIA campaign, J. Geophys. Res., 116, D08214, http://dx.doi.org/10.1029/2010JD014910doi:10.1029/2010JD014910, 2011.

Hunt, W. H., Winker, D. M., Vaughan, M. A., Powell, K. A., Lucker, P. L., and Weimer, C.: CALIPSO Lidar Description and Performance Assessment, J. Atmos. Oceanic Technol., 26, 1214–1228, http://dx.doi.org/10.1175/2009JTECHA1223.1doi:10.1175/2009JTECHA1223.1, 2009.

IPCC-2007: Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Core Writing Team, Pachauri, R. K. and Reisinger, A., IPCC, Geneva, Switzerland, 2007.

Jeong, M.-J. and Hsu, N. C.: Retrievals of aerosol single-scattering albedo and effective aerosol layer height for biomass-burning smoke: Synergy derived from "A-Train" sensors, Geophys. Res. Lett., 35, L24801, http://dx.doi.org/10.1029/2008GL036279doi:10.1029/2008GL036279, 2008.

Jones,~T A. and Christopher,~S A.: Statistical properties of aerosol-cloud-precipitation interactions in South America, Atmos. Chem. Phys., 10, 2287–2305, http://dx.doi.org/10.5194/acp-10-2287-2010doi:10.5194/acp-10-2287-2010, 2010.

Kacenelenbogen,~M., Vaughan,~M A., Redemann,~J., Hoff,~R M., Rogers,~R R., Ferrare,~R A., Russell,~P B., Hostetler,~C A., Hair,~J W., and Holben,~B N.: An accuracy assessment of the CALIOP/CALIPSO version 2/version 3 daytime aerosol extinction product based on a detailed multi-sensor, multi-platform case study, Atmos. Chem. Phys., 11, 3981–4000, http://dx.doi.org/10.5194/acp-11-3981-2011doi:10.5194/acp-11-3981-2011, 2011.

Kahn, R. A., Gaitley, B. J., Martonchik, J. V., Diner, D. J., Crean, K. A., and Holben, B.: Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations, J. Geophys. Res., 110, D10S04, http://dx.doi.org/10.1029/2004JD004706doi:10.1029/2004JD004706, 2005.

Kahn, R. A., Gaitley, B. J., Garay, M. J., Diner, D. J., Eck, T., Smirnov, A., and Holben, B. N.: MISR global aerosol product assessment by comparison with Aerosol Robotic Network, J. Geophys. Res., 115, D23209, http://dx.doi.org/10.1029/2010JD014601doi:10.1029/2010JD014601, 2010.

Kaufman, Y., Tanré, D., and Boucher, O.: A satellite view of aerosols in the climate system, Nature, 419, 215–-223, 2002.

Kittaka, C., Winker, D. M., Vaughan, M. A., Omar, A., and Remer, L. A.: Intercomparison of column aerosol optical depths from CALIPSO and MODIS-Aqua, Atmos. Meas. Tech., 4, 131–141, http://dx.doi.org/10.5194/amt-4-131-2011doi:10.5194/amt-4-131-2011, 2011.

Kleidman, R. G., Smirnov, A., Levy, R. C., Mattoo, S., and Tanre, D.: Evaluation and wind speed dependence of MODIS aerosol retrievals over open ocean, IEEE T. Geosci. Remote, 50, 429–435, 2012.

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, http://dx.doi.org/10.5194/acp-10-10399-2010doi:10.5194/acp-10-10399-2010, 2010.

Liu, Z., Kuehn, R., Vaughan, M., Winker, D., Omar, A., Powell, K., Trepte, C., Hu, Y., and Hostetler, C.: The CALIPSO Cloud and Aerosol Discrimination: Version 3 Algorithm and Test Results, 25th International Laser Radar Conference (ILRC), St. Petersburg, Russia, ISBN 978-5-94458-109-9, 2010.

Livingston, J. M., Redemann, J., Russell, P. B., Torres, O., Veihelmann, B., Veefkind, P., Braak, R., Smirnov, A., Remer, L., Bergstrom, R. W., Coddington, O., Schmidt, K. S., Pilewskie, P., Johnson, R., and Zhang, Q.: Comparison of aerosol optical depths from the Ozone Monitoring Instrument (OMI) on Aura with results from airborne sunphotometry, other space and ground measurements during MILAGRO/INTEX-B, Atmos. Chem. Phys., 9, 6743–6765, http://dx.doi.org/10.5194/acp-9-6743-2009doi:10.5194/acp-9-6743-2009, 2009.

Martins, J. V., Tanré, D., Remer, L. A., Kaufman, Y. J., Mattoo, S., and Levy, R.: MODIS Cloud screening for remote sensing of aerosol over oceans using spatial variability, Geophys. Res. Lett., 29, http://dx.doi.org/10.1029/2001GL013252doi:10.1029/2001GL013252, 2002.

Matichuk, R. I., Colarco, P. R., Smith, J. A., and Toon, O. B.: Modeling the transport and optical properties of smoke plumes from South American biomass burning, J. Geophys. Res., 113, D07208, http://dx.doi.org/10.1029/2007JD009005doi:10.1029/2007JD009005, 2008.

Myhre, G.: Consistency between satellite-derived and modeled estimates of the direct aerosol effect, Science, 325, http://dx.doi.org/10.1126/science.1174461doi:10.1126/science.1174461, 2009.

Omar, A. H., J. Won, D. M. Winker, S. Yoon, O. Dubovik, and M. P. McCormick, Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements, J. Geophys. Res., 110, D10S14, http://dx.doi.org/10.1029/2004JD004874doi:10.1029/2004JD004874, 2005.

Omar, A. H., Winker, D. M., Vaughan, M. A., Hu, Y., Trepte, C. R., Ferrare, R. A., Lee, K.-P., Hostetler, C. A., Kittaka, C., Rogers, R. R., Kuehn, R. E., and Liu, Z.: The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm, J. Atmos. Oceanic Technol., 26, 1994–2014, http://dx.doi.org/10.1175/2009JTECHA1231.1doi:10.1175/2009JTECHA1231.1, 2009.

Oo, M. and Holz, R.: Improving the CALIOP aerosol optical depth using combined MODIS-CALIOP observations and CALIOP integrated attenuated total color ratio, J. Geophys. Res., 116, D14201, 15~pp., doi:10.1029/2010JD014894, 2011.

%Peyridieu,~S., Chédin,~A., Tanré,~D., Capelle,~V., Pierangelo,~C., %Lamquin,~N., and Armante,~R.: Saharan dust infrared optical depth and %altitude retrieved from AIRS: a focus over North Atlantic – comparison to %MODIS and CALIPSO, Atmos. Chem. Phys., 10, p 1953-1967, %http://dx.doi.org/10.5194/acp-10-1953-2010doi:10.5194/acp-10-1953-2010, 2010. Peyridieu, S., Chédin, A., Tanré, D., Capelle, V., Pierangelo, C., Lamquin, N., and Armante, R.: Saharan dust infrared optical depth and altitude retrieved from AIRS: a focus over North Atlantic � comparison to MODIS and CALIPSO, Atmos. Chem. Phys., 10, 1953–1967, http://dx.doi.org/10.5194/acp-10-1953-2010doi:10.5194/acp-10-1953-2010, 2010.

Powell, K. A., Vaughan, M. A., Rogers, R. R., Kuehn, R. E., Hunt, W. H., Lee, K.-P., and Murray, T. D.: The CALIOP 532- nm Channel Daytime Calibration: Version 3 Algorithm Proceedings of the 25th International Laser Radar Conference, 1367–1370, ISBN 978-5-94458-109-9, 2010.

Redemann, J., Schmid, B., Eilers, J. A., Kahn, R. A., Levy, R. C., Russell, P. B., Livingston, J. M., Hobbs, P. V., Smith Jr., W. L., and Holben, B. N.: Suborbital measurements of spectral aerosol optical depth and its variability at sub-satellite grid scales in support of CLAMS, 2001, J. Atmos. Sci. , http://dx.doi.org/10.1175/JAS3387.1doi:10.1175/JAS3387.1, 62, 993–1007, 2005.

Redemann, J., Zhang, Q., Schmid, B., Russell, P. B., Livingston, J. M., Jonsson, H., and Remer, L. A.: Assessment of MODIS-derived visible and near-IR aerosol optical properties and their spatial variability in the presence of mineral dust, Geophys. Res. Lett., 33, L18814, http://dx.doi.org/10.1029/2006GL026626doi:10.1029/2006GL026626, 2006.

Redemann, J., Pilewskie, P., Russell, P. B., Livingston, J. M., Howard, S., Schmid, B., Pommier, J., Gore, W., Eilers, J., and Wendisch, M.: Airborne measurements of spectral direct aerosol radiative forcing in the Intercontinental chemical Transport Experiment/Intercontinental Transport and Chemical Transformation of anthropogenic pollution, 2004, J. Geophys. Res., 111, D14210, http://dx.doi.org/10.1029/2005JD006812doi:10.1029/2005JD006812, 2006.

Redemann, J., Zhang, Q., Russell, P. B., Livingston, J. M., and Remer, L. A.: Case studies of aerosol remote sensing in the vicinity of clouds, J. Geophys. Res., 114, D06209, http://dx.doi.org/10.1029/2008JD010774doi:10.1029/2008JD010774, 2009a.

Redemann, J., Livingston, J., Shinozuka, Y., Russell, P., Zhang, Q., Johnson, R., Ramachandran, S., Clarke, A., McNaughton, C., and Veheilmann, B.: Airborne sunphotometer (AATS-14) measurements in ARCTAS – first insights into their combined use with satellite observations to study Arctic aerosol radiative effects, ARCTAS Science Team Meeting, Virginia Beach, VA, January 27, 2009b.

Redemann, J., Zhang, Q., Livingston, J., Russell, P., Shinozuka, Y., Clarke, A., Johnson, R., and Levy, R.: Testing aerosol properties in MODIS Collection 4 and 5 using airborne sunphotometer observations in INTEX-B/MILAGRO, Atmos. Chem. Phys., 9, 8159-8172, http://dx.doi.org/10.5194/acp-9-8159-2009doi:10.5194/acp-9-8159-2009, 2009c.

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.: The MODIS aerosol algorithm, products and validation, J. Atmos. Sci., 62, 947–973, 2005.

Remer, L. A., Kleidman, R. G., Levy, R. C., Kaufman, Y. J., Tanre, D., Mattoo, S., Martins, J. V., Ichoku, C., Koren, I., Yu, H. B., Holben, B. N.: Global aerosol climatology from the MODIS satellite sensors, J. Geophys. Res., 113, D14S07, doi:10.1029/2007JD009661, 2008.

Russell, P. B., Livingston, J. M., Redemann, J., Schmid, B., Ramirez, S. A., Eilers, J., Kahn, R., Chu, A., Remer, L., Quinn, P. K., Rood, M. J., and Wang, W.: Multi-grid-cell validation of satellite aerosol property retrievals in INTEX/ITCT/ICARTT 2004, J. Geophys. Res., 112, D12S09, http://dx.doi.org/10.1029/2006JD007606doi:10.1029/2006JD007606, 2007.

Satheesh, S. K., Torres, O., Remer, L. A., Babu, S. S., Vinoj, V., Eck, T. F., Kleidman, R. G., and Holben, B. N.: Improved assessment of aerosol absorption using OMI-MODIS joint retrieval, J. Geophys. Res., 114, D05209, http://dx.doi.org/10.1029/2008JD011024doi:10.1029/2008JD011024, 2009.

Shinozuka, Y. and Redemann, J.: Horizontal variability of aerosol optical depth observed during the ARCTAS airborne experiment, Atmos. Chem. Phys., 11, 8489–8495, http://dx.doi.org/10.5194/acp-11-8489-2011doi:10.5194/acp-11-8489-2011, 2011.

Schuster, G., MacDonnell, D., and Trepte, C.: Can AERONET ground sites be used to validate CALIPSO aerosol products, CALIPSO ST meeting, 2007.

Sokal, R. R. and Rohlf, F. J.: Biometry, 3rd edn., W.H. Freeman and Co., New York, USA, 1995.

Torres, O., Tanskanen, A., Veihelmann, B., Ahn, C., Braak, R., Bhartia, P.K., Veefkind, P., and Levelt, P.: Aerosols and surface UV products from Ozone Monitoring Instrument observations: An overview, J. Geophys. Res., 112, D24S47, http://dx.doi.org/10.1029/2007JD008809doi:10.1029/2007JD008809, 2007.

Vaughan, M., Kuehn, R., Tackett, J., Rogers, R., Liu, Z., Omar, A., Getzewich, B., Powell, K., Hu, Y., Young, S., Avery, M., Winker, D., and Trepte, C.: Strategies for Improved CALIPSO Aerosol Optical Depth Estimates, Proceedings of the 25th International Laser Radar Conference, 1340–1343, ISBN 978-5-94458-109-9, 2010.

Winker, D. M., Hunt, W. H., and McGill, M. J.: Initial performance assessment of CALIOP, Geophys. Res. Lett., 34, L19803, http://dx.doi.org/10.1029/2007GL030135doi:10.1029/2007GL030135, 2007.

Winker, D. M., Vaughan, M. A., Omar, A. H., Hu, Y., Powell, K. A., Liu, Z., Hunt, W. H., and Young, S. A.: Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms, J. Atmos. Oceanic Technol., 26, 2310–2323, http://dx.doi.org/10.1175/2009JTECHA1281.1doi:10.1175/2009JTECHA1281.1, 2009.

Winker, D. M., Pelon, J., Coakley Jr., J. A., Ackerman, S. A., Charlson, R. J., Colarco, P. R., Flamant, P., Fu, Q., Hoff, R. M., Kittaka, C., Kubar, T. L., Le Treut, H., McCormick, M. P., M$\acute\rm e$gie, G., Poole, L., Powell, K., Trepte, C., Vaughan, M. A., and Wielicki, B. A.: The CALIPSO Mission: A Global 3D View Of Aerosols And Clouds, Bull. Am. Meteorol. Soc., 91, 1211–1229, http://dx.doi.org/10.1175/2010BAMS3009.1doi:10.1175/2010BAMS3009.1, 2010.

Young, S. A. and Vaughan, M. A.: The retrieval of profiles of particulate extinction from Cloud Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) data: Algorithm description, J. Atmos. Oceanic Technol., 26, 1105–1119, doi:10.1175/2008 JTECHA1221.1. 2009.

Young, S. A., Winker, D. M., Vaughan, M. A., Hu, Y., and Kuehn, R. E.: CALIOP Algorithm Theoretical Basis Document - Part 4: Extinction Retrieval Algorithms, Release 1.0 (DRAFT), PC-SCI-202 Part~4, available at: http://www-calipso.larc.nasa.gov/resources/pdfs/PC-SCI-202_Part4_v1.0.pdf, 2008.

Zhang, J., Christopher, S. A., Remer, L. A., and Kaufman, Y. J.: Shortwave Aerosol Cloud-Free Radiative Forcing from Terra, II: Global and Seasonal Distributions,~J. Geophys. Res., D10, S24, http://dx.doi.org/10.1029/2004jd005009doi:10.1029/2004jd005009, 2005.