Dust aerosol optical depth retrieval over a desert surface using the SEVIRI window channels

Journal of Atmospheric and Oceanic Technology

Volumn 26, Issue 4, 2009, Pages 704-718

  De Paepe, Bart ^a   Dewitte, Steven ^a  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOL LAYERS; AEROSOL LOADING; AEROSOL OPTICAL DEPTHS; AEROSOL PROPERTIES; ATMOSPHERIC ABSORPTION; BRIGHTNESS TEMPERATURES; CALIPSO; CLOUD-AEROSOL LIDAR AND INFRARED PATHFINDER SATELLITE OBSERVATIONS; DESERT SURFACES; DIURNAL VARIATION; DUST AEROSOLS; DUST EVENT; DUST LAYER; FORWARD MODELS; LONG WAVES; LOOK UP TABLE; METEOSAT SECOND GENERATIONS; PIXEL VALUES; RETRIEVAL ALGORITHMS; SATELLITE TRACKS; SKY CONDITION; SPINNING ENHANCED VISIBLE AND INFRARED IMAGER; SURFACE CONTRIBUTION; SURFACE EMISSIVITY; SURFACE RADIATION; SURFACE TEMPERATURES; THERMAL INFRARED; THERMAL IR; TIME SPAN; TOP OF THE ATMOSPHERES;

ATMOSPHERIC RADIATION; ATMOSPHERIC TEMPERATURE; COMPUTER SCIENCE; DUST; ELECTROMAGNETIC WAVE EMISSION; LANDFORMS; OPTICAL RADAR; PIXELS; SATELLITES; SURFACE PROPERTIES; WINDOWS;

ATMOSPHERIC AEROSOLS;

AEROSOL; ALGORITHM; BRIGHTNESS TEMPERATURE; CLEAR SKY; COMPUTER SIMULATION; DATA INVERSION; DESERT; DUST; EMISSIVITY; FORWARD MODELING; IMAGE ANALYSIS; INFRARED IMAGERY; LONGWAVE RADIATION; MODEL VALIDATION; NUMERICAL MODEL; OPTICAL DEPTH; PIXEL; SATELLITE IMAGERY; TOP OF ATMOSPHERE; WAVELENGTH;

EID: 70349165688     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008JTECHA1109.1     Document Type: Article

References (32)

1. Ackerman, S. A., 1997: Remote sensing aerosols using satellite infrared observations. J. Geophys. Res., 102, 17 069-17 079.
2. Becker, F., and Z.-L. Li, 1990: Towards a local split window method over land surfaces. Int. J. Remote Sens., 11, 369-393.
3. Brindley, H., and J. Russel, 2006: Improving GERB scene identification using SEVIRI: Infrared dust detection strategy. Remote Sens. Environ., 104, 426-446.
4. Derrien, M., and H. Le Gléau, 2005: MSG/SEVIRI cloud mask and type from SAFNWC. Int. J. Remote Sens., 26, 4707-4732.
5. Diner, D., and Coauthors, 1998: Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview. IEEE Trans. Geosci. Remote Sens., 36, 1072-1087.
6. Faysash, D. A., and E. A. Smith, 1999: Simultaneous land surface temperature-emissivity retrieval in the infrared split window. J. Atmos. Oceanic Technol., 16, 1673-1689.
7. Hess, M., P. Koepke, and I. Schult, 1998: Optical properties of aerosols and clouds: The software package OPAC. Bull. Amer. Meteor. Soc., 79, 831-844.
8. Hsu, N. C., S.-C. Tsay, M. D. King, and J. R. Herman, 2004: Aerosol properties over bright-reflecting source regions. IEEE Trans. Geosci. Remote Sens., 42 (3), 557-569.
9. Husar, R., J. Prospero, and L. Stowe, 1997: Characterization of tropospheric aerosols over the oceans with the NOAA AVHRR optical thickness operational product. J. Geophys. Res., 102, 16 889-16 909.
10. Jiang, G.-M., Z.-L. Li, and F. Nerry, 2006: Land surface emissivity retrieval from combined mid-infrared and thermal infrared data of MSG/ SEVIRI. Remote Sens. Environ., 105, 326-340.
11. Kerkmann, J., cited 2004: Dust detection. Tech. Rep. version 1.0, EUMETSAT. [Available online at http://www.eumetsat.int.]
12. Key, J. R., 2001: Streamer user's guide. Tech.Rep. version 3.0,NOAA/ NESDIS, 70 pp. [Available online at http://stratus.ssec.wisc.edu/ streamer/userman.pdf.]
13. King, M. D., Y. J. Kaufman, D. Tanré, and T. Nakajima, 1999: Remote sensing of tropospheric aerosols from space: Past, present, and future. Bull. Amer. Meteor. Soc., 80, 2229-2259.
14. Kratz, D. P., 1995: The correlated k-distribution technique as applied to the AVHRR channels. J. Quant. Spectrosc. Radiat. Transfer, 53, 501-516.
15. Kratz, D. P., cited 2005: Correlated k-distributions for MSG. [Available online at http://asd-www.larc.nasa.gov/~kratz/msg.html.]
16. Legrand, M., A. Plana-Fattori, and C. N'Doume, 2001: Satellite detection of dust using the IR imagery of Meteosat: 1. Infrared difference dust index. J. Geophys. Res., 106, 18 251-18 274.
17. Li, Z.-H., and F. Becker, 1993: Feasibility of land surface temperature and emissivity determination from AVHRR data. Remote Sens. Environ., 43, 67-85.
18. Loeb, N. G., N. M. Smith, S. Kato, W. F. Miller, S. Gupta, P. Minnis, and B. A. Wielicki, 2003: Angular distribution models for top-of-atmosphere radiative flux estimation from the Clouds and the Earth's Radiant Energy System instrument on the Tropical Rainfall Measuring Mission Satellite. Part I: Methodology. J. Appl. Meteor., 42, 240-265.
19. Lutz, H., 1999: Cloud processing for METEOSAT second generation. Tech. Memo., Vol. 4, EUMETSAT, Darmstadt, Germany, 26 pp.
20. Minnis, P., D. F. Young, D. R.Doelling, S. Sun-Mack, Y. Chen, and Q. Z. Trepte, 2002: Surface and clear-sky albedos and emissivities from MODIS and VIRS with application to SEVIRI. Proc. 2002 EUMETSAT Meteorological Satellite Conf., Vol. EUM P 36, Dublin, Ireland, EUMETSAT, 600-607.
21. Peres, L. F., and C. C. DaCamara, 2004: Land surface temperature and emissivity estimation based on the two-temperature method: Sensitivity analysis using simulated MSG/SEVIRI data. Remote Sens. Environ., 91, 377-389.
22. Peres, L. F., and C. C. DaCamara, 2005: Emissivity maps to retrieve land-surface temperature from MSG/SEVIRI. IEEE Trans. Geosci. Remote Sens., 43, 1834-1844.
23. Rosenfeld, D., cited 2005: Conversion from counts to radiances and from radiances to brightness temperatures and reflectances. [Available online at http://oiswww.eumetsat.org/WEBOPS/msg_interpretation/PowerPoints/ Channels/conversion_20050225.ppt.]
24. Schmetz, J., 1986: An atmospheric-correction scheme for operational application to Meteosat infrared measurements. ESA J., 10, 145-159.
25. Schmetz, J., and O. M. Turpeinen, 1988: Estimation of the upper tropospheric relative humidity field from METEOSAT water vapor image data. J. Appl. Meteor., 27, 889-899.
26. Schmetz, J., P. Pili, S. Tjemkes, D. Just, J. Kerkmann, S. Rota, and A. Ratier, 2002: An introduction to Meteosat Second Generation. Bull. Amer. Meteor. Soc., 83, 977-992.
27. Slingo, A., and Coauthors, 2006: Observations of the impact of a major Saharan dust storm on the atmospheric radiation balance. Geophys. Res. Lett., 33, L24817, doi:10.1029/2006GL027869.
28. Vaughan, M., S. Young, D.M. Winker, K. Powell, A. Omar, Z. Liu, Y. Hu, and C. A. Hostetler, 2004: Fully automated analysis of space-based lidar data: An overview of the CALIPSO retrieval algorithms and data products. Laser Radar Techniques for Atmospheric Sensing, U. Singh, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5575), 16-30.
29. Vergé-Dépré, G., M. Legrand, C. Moulin, A. Alias, and P. François, 2006: Improvement of the detection of desert dust over the Sahel using METEOSAT IR imagery. Ann. Geophys., 24, 1-9.
30. Winker, D. M., W. H. Hunt, and C. A. Hostetler, 2004: Status and performance of the CALIOP lidar. Laser Radar Techniques for Atmospheric Sensing, U. Singh, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5575), 8-15.
31. Wiscombe, W. J., and J. W. Evans, 1977: Exponential-sum fitting of radiative transmission functions. J. Comput. Phys., 24, 416-444.
32. Zhang, P., N. Lu, X. Hu, and C. Dong, 2006: Identification and physical retrieval of dust storms using three MODIS thermal IR channels. Global Planet. Change, 52, 197-206.