Simultaneous determination of continental surface emissivity and temperature from NOAA 10/HIRS observations: Analysis of their seasonal variations

Journal of Geophysical Research D: Atmospheres

Volumn 109, Issue 20, 2004, Pages

  Chedin A ^a   Pequignot E ^a   Serrar, S ^a   Scott, N A ^a  

^a ECOLE POLYTECHNIQUE   (France)

Author keywords

3322 Meteorology and atmospheric dynamics: Land atmosphere interactions; 3337 Meteorology and atmospheric dynamics: Numerical modeling and data assimilation; 3360 Meteorology and atmospheric dynamics: Remote sensing

Indexed keywords

ATMOSPHERE-BIOSPHERE INTERACTION; ATMOSPHERIC DYNAMICS; BRIGHTNESS TEMPERATURE; EMISSIVITY; ENERGY BUDGET; NOAA SATELLITE; REMOTE SENSING; SURFACE ENERGY;

EID: 11844277596     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2004JD004886     Document Type: Article

References (25)

1. Achard, V. (1991), Trois problèmes clés de l'analyse 3D de la structure thermodynamique de l'atmosphère par satellite. Thèse de doctorat, 168 pp., Univ. Paris 7, Paris.
2. Chédin, A., N. A Scott, C. Wahiche, and P. Moulinier (1985), The improved initialization inversion method: A high resolution physical method for temperature retrievals from satellites of the TIROS-N series, J. Clim. Appl. Meteorol., 24, 128-143.
3. Chédin, A., N.A. Scott, C. Claud, B. Bonnet, J. Escobar, S. Dardaillon, F. Cheruy, and N. Husson (1994), Global scale observation of the Earth for climate studies, Adv. Space Res., 14(1), 155-159.
4. Chevallier, F., F. Cheruy, N. A. Scott, and A. Chédin (1998), A neural network approach for a fast and accurate computation of a long wave radiative budget, J. Appl. Meteorol., 37, 1385-1397.
5. Farmer, V. C. (Ed.) (1974), The Infrared Spectra of Minerals, Mineral. Soc. Monogr., 4, 539 pp.
6. Garand, L., et al. (2001), Radiance and Jacobian intereomparison of radiative transfer models applied to HIRS and AMSU channels, J. Geophys. Res., 106, 24,017-24,031.
7. Hanel, R. A., B. J. Conrath, V. G. Kunde, C. Prabhakara, I. Revah, V. V. Salomonson, and G. Wolford (1972), The Nimbus 4 Infrared Spectroscopy Experiment, J. Geophys. Res., 77, 2629-2641.
8. Heilliette, S., A. Chédin, N. A. Scott, and R. Armante (2003), Parameterization of the effect of surface reflection on speetral infrared radiance measurements: Application to IASI, J. Quant. Spectrosc. Radiar. Transfer, 86, 201-214.
9. Li, D., and K. P. Shine (1995), A 4-dimensional ozone climatology for UGAMP models, Internal Rep. 35, UK Univ. Global Atmos. Model. Programme, Natl. Environ. Res. Counc., Swindon, UK.
10. Liang, S. (2001), An optimization algorithm for separating land surface temperature and emissivity from multispectral thermal infrared imagery, IEEE Trans. Geosci. Remote Sens., 39, 264-274.
11. Masuda, K., T. Takashima, and Y. Takayama (1988), Emissivity of pure and sea waters for the model of sea surface in the infrared window region, Remote Sens. Environ., 24, 313-329.
12. Nicodemus, F. E. (1965), Directional reflectance and emissivity of an opaque surface, Appl. Opt., 4, 767-773.
13. Ogawa, K., T. Schmugge, F. Jacob, and A. French (2003), Estimation of land surface window (8-12 μm) emissivity from multi-spectral thermal infrared remote sensing - A case study in a part of Sahara Desert, Geophys. Res. Lett., 30(2), 1067, doi:10.1029/2002GL016354.
14. Plokhenko, Y., and W. P. Menzel (2000), The effects of surface reflection on estimating the vertical temperature-humidity distribution from spectral infrared measurements, J. Appl. Meteorol., 39, 3-14.
15. Prabhakara, C., and G. Dalu (1976), Remote sensing of surfaee emissivity at 9 μm over the globe, J. Geophys. Res., 81, 3719-3724.
16. Rumelhart, D. E., G. E. Hinton, and R. J. Williams (1986), Learning internal representations by error propagation, in Parallel Distributed Processing: Explorations in the Macrostructure of Cognition vol. 1, edited by D. E. Rumelhart and McClelland, pp. 318-362, MIT Press, Cambridge, Mass.
17. Salisbury, J. W., B. Hapke, and J. W. Eastes (1987), Usefulness of weak bands in mid- infrared remote sensing of particulate planetary surfaces, J. Geophys. Res., 92, 702-710.
18. Salisbury, J. W., L. S. Walter, N. Vergo, and D. M. D'Aria (1991), Infrared (2.1-25 Micrometers) Spectra of Minerals, 294 pp., Johns Hopkins Univ. Press, Baltimore, Md.
19. Scott, N. A., and A. Chédin (1981), A fast line-by-line method for atmospheric absorption computation: The Automatized Atmospheric Absorption Atlas, J. Appl. Meteorol., 20, 801-812.
20. Scott, N. A., et al. (1999), Characteristics of the TOVS pathfinder path-B dataset, Bull. Am. Meteorol. Soc., 80, 2679-2701.
21. Smith, W. L., H. M. Woolf, C. S. Wofsy, and L. M. McMillin (1979), The TIROS-N operational vertical sounder, Bull. Am. Meteorol. Soc., 60 1177-1187.
22. Stubenrauch. C. J., N. A. Scott. and A. Chédin (1996), Cloud field identification for Earth radiation budget studies. Part 1: Cloud field classification using HIRS-MSU sounder measurements, J. Appl. Meteorol., 35, 416-427.
23. Stubenrauch, C. J., W. B. Rossow, F. Cheruy, A. Chédin, and N. A. Scott (1999), Clouds as seen by satellite sounder (3I) and imagers (ISCCP). Part I: Evaluation of cloud parameters, J. Clim., 12, 2189-2213.
24. Uddstrom, M. J., and L. M. McMillin (1994), System noise in the NESDIS TOVS Forward Model, part I: Specification, J. Appl. Meteorol., 33, 919-938.
25. Wahiche, C., N. A. Scott, and A. Chédin (1986). Cloud detection and cloud parameters retrieval from the satellites ofthe TIROS-N series. Ann. Geophys., Ser. B, 4(2), 207-222.