Suomi-NPP VIIRS aerosol algorithms and data products

Journal of Geophysical Research Atmospheres

Volumn 118, Issue 22, 2013, Pages 12,673-12,689

  Jackson, John M ^a   Liu, Hongqing ^b,c   Laszlo, Istvan ^c,d   Kondragunta, Shobha ^c   Remer, Lorraine A ^e   Huang, Jingfeng ^c,f   Huang, Ho Chun ^c,f  

^a NORTHROP GRUMMAN CORPORATION   (United States)

^b Systems Research Group Inc   (United States)

^c NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^d University of Maryland   (United States)

^e UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^f UNIVERSITY OF MARYLAND   (United States)

Author keywords

aerosol data products; aerosol retrieval algorithms; Suomi NPP VIIRS

Indexed keywords

ALGORITHMS; INFRARED IMAGING; RADIOMETERS;

AEROSOL OPTICAL THICKNESS; AEROSOL RETRIEVAL ALGORITHMS; AEROSOL ROBOTIC NETWORKS; DATA PRODUCTS; ENVIRONMENTAL DATA RECORDS; GROUND-BASED OBSERVATIONS; SUOMI-NPP VIIRS; VISIBLE INFRARED IMAGING RADIOMETER SUITES;

AEROSOLS;

AEROSOL PROPERTY; ALGORITHM; CALIBRATION; DATA SET; GROUND-BASED MEASUREMENT; MODIS; RADIOMETER; SATELLITE IMAGERY; SPACECRAFT;

EID: 84890473764     PISSN: None     EISSN: 21698996     Source Type: Journal    
DOI: 10.1002/2013JD020449     Document Type: Article

References (65)

1. Anthes, R. A., et al. (2007), Earth Science and Applications from Space: National Imperatives for the Next Decade and Beyond, National Academies Press, Washington, D. C.
2. Baker, N., (2011a), Aerosol ATBD: VIIRS aerosol optical thickness and particle size parameter algorithm theoretical basis document: 474-00049. Released August, 2011. http://npp.gsfc.nasa.gov/science/sciencedocuments/ATBD- 122011/474-00049-Rev-Baseline.pdf.
3. Baker, N., (2011b), Suspended matter ATBD: VIIRS suspended matter algorithm theoretical basis document: 474-00046. Released December, 2011. http://npp.gsfc.nasa.gov/science/sciencedocuments/ATBD-122011/ 474-00046-VIIRS-Suspended-Matter-ATBD-Rev-20110422.pdf.
4. Baker, N., (2013), VCM ATBD: VIIRS cloud mask algorithm theoretical basis document: 474-00033. Released February 2013. http://npp.gsfc.nasa.gov/science/ sciencedocuments/474-00033-ATBD-VIIRS-Cloud-Mask-B.pdf.
5. Baldridge, A. M., S. J. Hook, C. I. Grove, and, G. Rivera, (2009), The ASTER spectral library version 2.0, Remote Sens. Environ., 113, 711-715.
6. Biermann, F., (2012), World environment organization, in Wiley-Blackwell Encyclopedia of Globalization, Wiley, Hoboken, N. J., doi: 10.1002/ 9780470670590.wbeog828.
7. Born, M., and, E. Wolf, (1975), Principles of Optics: Electromagnetic Theory of Propagation, Interference, and Diffraction of Light, vol. xxviii, 5th ed., 808 pp., Pergamon Press, Oxford, New York.
8. Cao, C., F. Deluccia, X. Xiong, R. Wolfe, and, F. Weng, (2013), Early on-orbit performance of the VIIRS onboard the S-NPP satellite, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2013.2247768, in press.
9. Charlson, R., and, M. Pilat, (1969), Climate: The influence of aerosols, J. Appl. Meteorol., 8, 1001-1002.
10. Chin, M., T. Diehl, P. Ginoux, and, W. Malm, (2007), Intercontinental transport of pollution and dust aerosols: Implications for regional air quality, Atmos. Chem. Phys., 7, 5501-5517.
11. Chin, M., et al. (2009), Atmospheric aerosol properties and climate impacts, in US. Climate Change Science Program. Synthesis and Assessment Product 2.3, 115 pp.
12. Cox, C., and, W. Munk, (1954), Statistics of the sea surface derived from Sun glitter, J. Mar. Res., 13 (2), 198-227.
13. Diner, D. J., et al. (2004), PARAGON: An integrated approach for characterizing aerosol climate impacts and environmental interactions, Bull. Am. Meteorol. Soc., 85, 1491-1501.
14. Dubovik, O., B. Holben, T. F. Eck, A. Smirnov, Y. J. Kaufman, M. D. King, D. Tanre, and, I. Slutsker, (2002), Variability of absorption and optical properties of key aerosol types observed in worldwide locations, J. Atmos. Sci., 59 (3), 590-608, doi: 10.1175/1520-0469(2002)059<0590:Voaaop>2.0.Co;2.
15. Environmental Modeling Center (2003), The GFS atmospheric model. NCEP Office Note 442, Global Climate and Weather Modeling Branch, EMC, Camp Springs, Maryland.
16. Griggs, M., (1975), Measurements of atmospheric aerosol optical thickness over water using ERTS-1 data, J. Air Pollut. Control Assoc., 25, 622-626.
17. Hand, J. L., et al. (2011), Spatial and seasonal patterns and temporal variability of haze and its constituents in the United States: Report V, June (2011). Available at http://vista.cira.colostate.edu/improve/Publications/ Reports/2011/2011.htm.
18. Hansen, J. E., and, L. D. Travis, (1974), Light scattering in planetary atmospheres, Space Sci. Rev., 16, 527-610.
19. Hartmann, D. L., et al. (2012), Earth Science and Applications from Space: A Midterm Assessment of NASA's Implementation of the Decadal Survey, National Academies Press, Washington, D. C.
20. Holben, B. N., et al. (1998), AERONET-A federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66 (1), 1-16, doi: 10.1016/S0034-4257(98)00031-5.
21. Hsu, N. C., J. R. Herman, P. K. Bhartia, C. J. Seftor, O. Torres, A. M. Thompson, J. F. Gleason, T. F. Eck, and, B. N. Holben, (1996), Detection of biomass burning smoke from TOMS measurements, Geophys. Res. Lett., 23 (7), 745-748.
22. Hsu, N. C., S. C. Tsay, M. D. King, and, J. R. Herman, (2006), Deep blue retrievals of Asian aerosol properties during ACE-Asia, IEEE Trans. Geosci. Remote Sens., 44, 3180-3195.
23. Karl, T. R., J. M. Melillo, and, T. C. Peterson, (Eds) (2009), Global Climate Change Impacts in the United States, Cambridge Univ. Press, Cambridge, United Kingdom and New York, NY, USA.
24. Kaufman, Y. J., and, C. Sendra, (1988), Algorithm for atmospheric corrections of visible and near IR satellite imagery, Int. J. Rem. Sens., 9, 1357-1381.
25. Kaufman, Y. J., and, D. Tanré, (1996), Algorithm for remote sensing of troposheric aerosol from MODIS.
26. Kaufman, Y. J., D. Tanre, L. A. Remer, E. F. Vermote, A. Chu, and, B. N. Holben, (1997), Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer, J. Geophys. Res., 102 (D14), 17,051-17,067, doi: 10.1029/96JD03988.
27. Kaufman, Y. J., D. Tanré, and, O. Boucher, (2002), A satellite view of aerosols in the climate system, Nature, 419, 215-223, doi: 10.1038/nature01091.
28. Kaufman, Y. J., et al. (2005), A critical examination of the residual cloud contamination and diurnal sampling effects on MODIS estimates of aerosol over ocean, IEEE Trans. Geosci. Remote Sens., 43 (12), 2886-2897, doi: 10.1109/Tgrs.2005.858430.
29. Kennedy, D. M., M. S. Devany, and, M. E. Kicza, (2013), Joint polar satellite system (JPSS) program: Level 1 Requirements: JPSS-REQ-1002.
30. King, M. D., Y. J. Kaufman, D. Tanré, and, T. Nakajima, (1999), Remote sensing of tropospheric aerosols from space: Past, present and future, Bull. Am. Meteorol. Soc., 80, 2229-2259.
31. Koepke, P., (1984), Effective reflectance of oceanic whitecaps, Appl. Opt., 23 (11), 1816-1824.
32. Koren, I., and, G. Feingold, (2011), Aerosol-cloud-precipitation system as a predator-prey problem, Proc. Natl. Acad. Sci. U.S.A., 108, 12,227-12232, doi: 10.1073/pnas.1101777108.
33. Koren, I., O. Altaratz, L. A. Remer, G. Feingold, J. V. Martins, and, R. Heiblum, (2012), Aerosol-induced intensification of rain from the tropics to the mid-latitudes, Nat. Geosci., 5, 118-122, doi: 10.1038/ngeo1364.
34. Kotchenova, S. Y., and, E. F. Vermote, (2007), Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part II. Homogeneous lambertian and anisotropic surfaces, Appl. Opt., 46 (20), 4455-4464, doi: 10.1364/ao.46.004455.
35. Kotchenova, S. Y., E. F. Vermote, R. Matarrese, and, F. J. Klemm, (2006), Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part I: Path radiance, Appl. Opt., 45 (26), 6762-6774, doi: 10.1364/ao.45.006762.
36. Lau, K., M. Kim, and, K. Kim, (2006), Asian summer monsoon anomalies induced by aerosol direct forcing-The role of the Tibetan plateau, Clim. Dyn., 36, 855-864, doi: 10.1007/s00382-006-10114-z.
37. Levy, R. C., L. A. Remer, S. Mattoo, E. F. Vermote, and, Y. J. Kaufman, (2007), Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of moderate resolution imaging spectroradiometer spectral reflectance, J. Geophys. Res., 112, D13211, doi: 10.1029/2006JD007811.
38. Levy, R. C., L. A. Remer, R. G. Kleidman, S. Mattoo, C. Ichoku, R. Kahn, and, T. F. Eck, (2010), Global evaluation of the collection 5 MODIS dark-target aerosol products over land, Atmos. Chem. Phys., 10, 10,399-10,420, doi: 10.5194/acp-10-10399-2010.
39. Levy, R. C., S. Mattoo, L. A. Munchak, L. A. Remer, A. M. Sayer, and, N. C. Hsu, (2013), The collection 6 MODIS aerosol products over land and ocean, Atmos. Meas. Tech. Discuss., 6, 159-259, doi: 10.5194/amtd-6-159-2013, 2013.
40. Li, R. R., Y. J. Kaufman, B. C. Gao, and, C. O. Davis, (2003), Remote sensing of suspended sediments and shallow coastal waters, IEEE Trans. Geosci. Remote Sens., 41 (3), 559-566, doi: 10.1109/Tgrs.2003.810227.
41. Li, Z., X. Zhao, R. Kahn, M. Mishchenko, L. Remer, K.-H. Lee, M. Wang, I. Laszlo, T. Nakajima, and, H. Maring, (2009), Uncertainties in satellite remote sensing of aerosols and impact on monitoring its long-term trend: A review and perspective, Ann. Geophys., 27, 2755-2770.
42. Martin, R. V., D. J. Jacob, R. M. Yantosca, M. Chin, and, P. Ginoux, (2003), Global and regional decreases in tropospheric oxidants from photochemical effects of aerosols, J. Geophys. Res., 108 (D3), 4097 doi: 10.1029/2002JD002622.
43. Martins, J., D. Tanre, L. Remer, Y. Kaufman, S. Mattoo, and, R. Levy, (2002), MODIS cloud screening for remote sensing of aerosols over oceans using spatial variability, Geophys. Res. Lett., 29 (12), 1619, doi: 10.1029/2001GL013252.
44. Mc Clatchey, R. A., R. W. Fenn, J. E. A. Selby, F. E. Volz, and, J. S. Garing, (1971), Optical properties of the atmosphere, AFCRL-TR-71-0279, Environment Research papers, No 354, L.G. Hancom Field Bedford, Mass. USA.
45. Pope, C. A., III, R. T. Burnett, M. J. Thun, E. E. Calle, D. Krewski, K. Ito, and, G. D. Thurston, (2002), Lung cancer, cardiopulmonary mortality, and long-term exposure to fine particulate air pollution, J. Am. Med. Assoc., 287, 1132-1141, doi: 10.1001/pubs.JAMA-ISSN-0098-7484-287-9-joc11435.
46. Rao, C. R. N., E. P. McClain, and, L. L. Stowe, (1989), Remote sensing of aerosols over the oceans using AVHRR data theory, practice, and applications, Int. J. Remote Sens., 10 (4-5), 743-749.
47. Remer, L. A., et al. (2005), The MODIS aerosol algorithm, products, and validation, J. Atmos. Sci., 62, 947-973, doi: 10.1175/JAS3385.1.
48. Remer, L. A., et al. (2008), Global aerosol climatology from the MODIS satellite sensors, J. Geophys. Res., 113, D14S07, doi: 10.1029/2007JD009661.
49. Remer, L. A., D. Tanre, Y. J. Kaufman, R. Levy, and, S. Mattoo, (2009), Algorithm for remote sensing of tropospheric aerosol from MODIS for collection 005: Revision 2 Products: 04-L2, ATML2, 08-D3, 08-E3, 08-M3.
50. Rosenfeld, D., and, I. M. Lensky, (1998), Spaceborne sensed insights into precipitation formation processes in continental and maritime clouds, Bull. Am. Meteorol. Soc., 79, 2457-2476.
51. Rosmond, T., (1992), The design and testing of NOGAPS, Weather Forecasting, 7 (2), 262-272.
52. Schafer, K., S. M. Emeis, A. Rauch, C. Munkel, and, S. Vogt, (2004), Determination of mixing layer heights from ceilometer data, Proc. SPIE, 5571, 248, doi: 10.1117/12.565592.
53. Smith, K., (2013), Environmental Hazards: Assessing Risk and Reducing Disaster, Routledge, New York.
54. Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, and, H. L. Miller, (Eds) (2007), Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge Univ. Press, Cambridge, United Kingdom and New York, NY, USA.
55. Tanré, D., Y. J. Kaufman, M. Herman, and, S. Mattoo, (1997), Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances, J. Geophys. Res., 102 (D14), 16,971-16,988, doi: 10.1029/96JD03437.
56. Trenberth, K. E., et al. (2013), Challenges of a sustained climate observing system, in Climate Science for Serving Society, pp. 13-50, Springer, Netherlands.
57. Twomey, S., (1977), The influence of pollution on the shortwave albedo of clouds, J. Atmos. Sci., 34, 1149-1152.
58. Van de Hulst, H. C., (1957), Scattering by Small Particles, Wiley, New York, or van de Hulst, H.C., Multiple Light Scattering: Tables, Formulas, and Applications, vol. 1, Academic Press, NY, 1980.
59. Vermote, E. F., and, S. Kotchenova, (2008), Atmospheric correction for the monitoring of land surfaces, J. Geophys. Res., 113, D23S90, doi: 10.1029/2007JD009662.
60. Vermote, E. F., and, D. Tanré, (1992), Analytical expressions for radiative properties of planar Rayleigh scattering media, including polarization contributions, J. Quant. Spectrosc. Radiat. Transfer, 47 (4), 305-314.
61. Vermote, E. F., D. Tanré, J. L. Deuzé, M. Herman, J. J. Morcrette, and, S. Kotchenova, (2006), Second simulation of a satellite signal in the solar spectrum-vector (6SV).
62. Walton, C. C., W. G. Pichel, J. F. Sapper, and, D. A. May, (1998), The development and operational application of nonlinear algorithms for the measurement of sea surface temperatures with the NOAA polar-orbiting environmental satellites, J. Geophys. Res., 103 (C12), 27,999-28,012, doi: 10.1029/98JC02370.
63. Wang, M. H., and, H. R. Gordon, (1994), Radiance reflected from the ocean-atmosphere system: Synthesis from individual components of the aerosol-size distribution, Appl. Opt., 33 (30), 7088-7095.
64. Wen, G., A. Marshak, and, R. F. Cahalan, (2006), Impact of 3-D clouds on clear-sky reflectance and aerosol retrieval in a biomass burning region of Brazil, IEEE T. Geosci. Remote, 3 (1), 169-172, doi: 10.1109/LGRS.2005.861386.
65. Yu, H., et al. (2006), A review of measurement based assessments of aerosol direct radiative effect and forcing, Atmos. Chem. Phys., 6, 613-666.