Combination of ScaRaB-2 and CERES with Meteosat-5 to remove time sampling bias and improve radiation budget estimations in the INDOEX region

Journal of Geophysical Research: Atmospheres

Volumn 109, Issue 5, 2004, Pages

  Viollier, M ^a   Kandel, R ^a   Raberanto, P ^a  

^a CNRS   (France)

Author keywords

Climate; Earth Radiation budget; Meteosat

Indexed keywords

DATA ASSIMILATION; ERROR CORRECTION; METEOSAT; RADIATION BUDGET; REMOTE SENSING; SAMPLING BIAS; SATELLITE DATA;

EID: 2642552328     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2003jd003947     Document Type: Article

References (42)

1. Barkstrom, B. R., E. F. Harrison, G. L. Smith, R. Green, J. Kibler, R. Cess, and ERBE Science Team (1989), Earth Radiation Budget Experiment (ERBE) archival and April 1985 results, Bull. Am. Meteorol. Soc., 70, 1254-1262.
2. Boer, E. R., and V. Ramanathan (1997), Lagrangian approach for deriving cloud characteristics from satellite observations and its implications to cloud parameterization, J. Geophys. Res., 102, 21,383-21,399.
3. Brest, C. L., W. B. Rossow, and M. D. Roiter (1997), Update of radiance calibrations for ISCCP, J. Atmos. Oceanic Technol., 14, 1091- 1109.
4. Brooks, D. R., E. H. Harrison, R Minnis, J. T. Suttles, and R. Kandel (1996), Development of Algorithms for understanding the temporal and spatial variability of Earth's radiation balance, Rev. Geophys., 24, 422-438.
5. Buriez, J. C., C. Vanbauce, F. Parol, P. Gouloub, M. Herman, B. Bonnel, Y. Fouquart, P. Convert, and G. Séze (1997), Cloud detection and derivation of cloud properties from POLDER, Int. J. Remote Sens., 18, 2785-2813.
6. Cheruy, F., R. S. Kandel, and J. P. Duvel (1991a), Outgoing longwave radiation and its diurnal variation from combined ERBE and Meteosat observations: 1. Estimating OLR from Meteosat data, J. Geophys. Res., 96, 2611-2622.
7. Cheruy, F., R. S. Kandel, and J. P. Davel (1991b), Outgoing longwave radiation and its diurnal variation from combined ERBE and Meteosat observations: 2. Using Meteosat data to determine the LW diurnal cycle, J. Geophys. Res., 96, 2623-2630.
8. Desormeaux, Y, W. B. Rossow, C. L. Brest, and G. G. Campbell (1993), Normalization and calibration of Geostationary Radiances for the International Satellite Cloud Climatology Project, J. Atmos. Oceanic Technol., 10, 304-325.
9. Dewitte, S. (1997), Local instantaneous radiation budget, measured from geostationary and polar satellites, Ph.D. dissertation, Vrije Univ. eit Brussel, Brussels.
10. Dewitte, S., P. Boekaerts, and F. Sirou (1999), Determination ofthe ScaRaB FMI broadband channel point spread functions, IEEE Trans. Geosci. Remote Sens., 37(4), 2004-2010.
11. Dickmann, F. J, and G. L. Smith (1989), Investigation ofscene identification algorithms for radiation budget measurements, J. Geophys. Res., 94, 3395-3412.
12. Diner, D. J., G. P. Asner, R. Davies, Y. Knyazikhin, J. P. Muller, A. W. Nolin, B. Pinty, C. B. Schaaf, and J. Stroeve (1999), New directions in Earth observing: Scientific applications of multiangle mmote sesing, Bull. Am. Meteorol, Soc., 80, 2209-2228.
13. Dlhoplsky, R., A. Macke, and R. Stuhlmann (1994), A study of improved angular dependence models for radiation field measurements aboard future satellites, Final Rep. ESA, contract AO/1-2562/97/NL/SF, Eur. Space Ag., Paris.
14. Duvel, J. R, and P. Raberanto (2000), A geophysical cross-calibration approach for broadband channels: Application to the ScaRaB experiment, J. Atmos. Oceanic Technol., 17, 1609-1717.
15. Duvel, J. P., S. Bouffiés-Cloché, and M. Viollier (2000), Determination of shortwave Earth reflectances from visible radiance measurements: Error estimate using ScaRaB data, J. Appl. Meteorol, 39, 957-970.
16. Duvel, J. P., M. Viollier, P. Raberanto, R. Kandel; M. Haeffelin, L. A. Pakhomov, V. A. Golovko, J. Mueller, R. Stuhlmann, and the International ScaRab Scientific Working Group (ISSWG) (2001), The ScaRaB-Resurs Earth radiation budget dataset and first results, Bull. Am. Meteorol. Soc., 82, 1397-1408.
17. Haeffelin, M., R. Kandel, and C. Stubenrauch (1999), Improved diurnal interpolation of reflected broad-band shortwave observations using ISCCP data, J. Atmos. Oceanic Technol., 16, 38-54.
18. Haeffelin, M., B. A. Wielicki, J. P. Duvel, K. Priestley, and M. Viollier (2001), Intercalibration of CERES and ScaRaB Earth radiation budget datasets using temporally and spatially collocated radiance measurements, Geophys. Res. Lett., 28(l), 167-170.
19. Harries, J. E., and D. Crommelynck (1999), The geostationary Earth radiation budget experiment on MSG-1 and its potential applications, Adv. Space Res., 24(7), 915 -919.
20. House, F. B., A. Gruber, G. E. Hunt, and A. T. Mecherikunnel (1986), History of satellite missions and measurements of the Earth radiation budget, Rev. Geophys., 24, 357-377.
21. Kandel, R., et al. (1998), The ScaRaB Earth radiation budget dataset, Bull. Am Meteorol. Soc., 79, 765-783.
22. Li, Z., and H. G. Leighton (1992), Narrowband to broadband conversion with spatially autocorrelated reflectance measurements, J. Appl. Meteorol, 31, 653-670.
23. Li, Z., and A. Trishchenko (1999), A study towards an improved understanding of the relation between visible and SW albedo measurements, J. Atmos. Oceanic Technol., 17,347-360.
24. Loeb, N. G., F. Parol, J. C. Buriez, and C. Vanbauce (2000), Top of the atmosphere albedo estimation from angular distribution models using scene identification from satellite cloud property retrievals, J. Clim., 13, 1269- 1284.
25. Loeb, N. G., N. M. Smith, S. Kato, W. F. Miller, S. K. Gupta, P. Minnis, and B. A. Wielicki (2003), Angular distribution models for top-of-atmosphere radiative flux estimation for the clouds and the Earth's radiant energy system instrument on the Tropical Rainfall Measuring Mission Satellite, part 1: Methodology, J. Appl. Meteorol, 42, 240-265.
26. Minnis, P., D. F. Young, and E. F. Harrisson (1991), Examination of the relationship between outgoing infrared window and total longwave fluxes using satellite data, J. Clim., 4, 1114-1133.
27. Minnis, R, L. Nguyen, D. R. Doelling, D. F. Young, W. F. Miller, and D. P. Kratz (2002a), Rapid calibration of operational and research meteorological satellite imagers. Part I: Evaluation of research satellite visible channels as references, J. Atmos. Oceanic Technol., 19, 1233-1249.
28. Minnis, R, L. Nguyen, D. R. Doelling, D. F. Young, W. F. Miller, and D. P. Kratz (2002b), Rapid calibration of operational and research meteorological satellite imagers. Part II: Comparison of infrared channels, J. Atmos. Oceanic TechnoL, 19, 1250-1266.
29. Roca, R., M. Viollier, L. Picon, and M. Desbois (2002), A multisatellite analysis of deep convection and its moist environment over the Indian Ocean during the winter monsoon, J. Geophys. Res., 107(D19), 8012, doi: 10. 1029/2000JD000040.
30. Standfuss, C., M. Viollier, R. S. Kandel, and J. P. Duvel (2001), Regional diurnal albedo climatology and diurnal time extrapolation of reflected solar flux observations, application to the ScaRaB record, J. Clim., 14, 1129-1146.
31. Stubenrauch, C., J. P. Duvel, and R. S. Kindel (1993), Determination of longwave anisotropic emission factors from combined broad-and narrow-band radiance measurements, J. Appl. Meteorol, 32, 848-856.
32. Stubenrauch, C. J., V. Briand, and W. B. Rossow (2002), The role of clear sky identification in the study of cloud radiative effects: Combined analysis from ISCCP and the Scanner of Radiation Budget (ScaRaB), J. Appl. Meteorol, 41, 396-412.
33. Suttles, J. T., R. N. Green, P. Minnis, G. L. Smith, W. F Staylor, B. A. Wielicki, I. J. Walker, D. F. Young, V. R. Taylor, and L. L. Stowe (1988), Angular radiation models far Earth-atmosphere system, vol. I, Shortwave radiation, NASA Ref. Publ. 1184; Greenbelt, Md.
34. Thomas, D., J.-P. Duvel, and R. Kandel (1995), Diurnal bias in calibration of broad-band radiance measurements from space, IEEE Trans, Geosci. Remote Sens., 33, 670-683.
35. Trishchenko, A., and Z. Li (1998), Use of ScaRaB measurements for validating a GOES-based TOA radiation product, J. Appl. Meteorol., 37, 591 -605.
36. Vesperini, M., and Y. Fouquart (1994), Determination of broadband shortwave fluxes from the Meteosat visible channel by comparison to ERBE, Beitr. Phys. Atmos., 67(2), 121-132.
37. Viollier, M., R. Kandel, and P. Raberanto (1995), Inversion and space-time averaging algorithms for ScaRaB (Scanner for Earth Radiation Budget)-Comparison with ERBE, Ann. Geophys., 13, 959-968.
38. Wielicki, B. A., and R. N. Green (1989), Cloud identification for ERBE radiative flux retrieval, J. Appl. Meteorol, 28, 1133-1146.
39. Wielicki, B. A., B. R. Barkstrom, E. F. Harrison, R. B. Lee III, G. L. Smith, and J. E. Cooper (1996), Clouds and the Earth's radiant energy system (CERES): An Earth Observing System experiment, Bull. Am. Meteorol. Soc., 77, 853-868.
40. Wielicki, B. A., et al. (2002), Evidence for large decadal variability in the tropical mean radiative energy budget, Science, 295, 841 - 844.
41. Ye, Q., and J. A. Coakley Jr. (1996), Biases in Earth radiation budget observations: 2. Consistent scene identification and anistropic factors, J. Geophys. Res., 101, 21,253-21,263.
42. Young, D. F., P. Minnis, D. R. Doelling, G. G. Gibson, and T. Wong (1998), Temporal interpolation methods for the Clouds and the Earth's Radiant Energy System (CERES) experiment, J. Clim. Appl. Meteorol, 37, 572-590.