A multisatellite analysis of deep convection and its moist environment over the Indian Ocean during the winter monsoon

Journal of Geophysical Research Atmospheres

Volumn 107, Issue 19, 2002, Pages

  Roca, Rémy ^a,b   Viollier, Michel ^a,b   Picon, Laurence ^a,b   Desbois, Michel ^a,b  

^a CNRS   (France)

^b ECOLE POLYTECHNIQUE   (France)

Author keywords

Convection; Humidity; Indian Ocean; Intraseasonal variability; Longwave radiation

Indexed keywords

AERODYNAMICS; CLIMATOLOGY; HEAT RADIATION; OCEAN CURRENTS; TROPOSPHERE;

ATMOSPHERIC CONVECTION; CLEAR SKY; CLOUD COVER; CLOUD RADIATIVE FORCING; GREENHOUSE EFFECT; HUMIDITY; LONGWAVE RADIATION; MARINE ATMOSPHERE; METEOSAT; MONSOON; RADIATION BUDGET; SATELLITE DATA; SPATIAL VARIATION; SSM-I; TEMPORAL VARIATION; TOP OF ATMOSPHERE; TROPOSPHERE; WATER VAPOR; WINTER;

INDIAN OCEAN;

EID: 0043070168     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2000JD000040     Document Type: Article

References (84)

1. Barkstrom, B. R., et al., and the ERBE Science Team, Earth Radiation Budget Experiment (ERBE) archival and April 1985 results, Bull. Am. Metcoml. Soc., 70, 1254-1262, 1989.
2. Boer, E., and V. Ramanathan, Lagrangian approach for deriving cloud characteristics from satellite observations and its implication to cloud parameterization, J. Geophys. Res., 102, 21,383-21,399, 1997.
3. Bony, S., W. D. Collins, and W. Filmore, Indian Ocean low clouds during the winter monsoon, J. Climate, 13(12), 2028-2043, 2000.
4. Brooks, D. R., E. H. Harrison, P. Minnis, J. T. Suttles, and R. Kandel, Development of algorithms for understanding the temporal and spatial variability of the Earth's radiation balance, Rev. Geophys., 24, 422-438, 1986.
5. Charlock, T. P., and V. Ramanathan, The albedo field and cloud radiative forcing produced by a general circulation model with internally generated cloud optics, J. Atmos, Sci., 42, 1408-1429, 1985.
6. Chen, S., R. A. J. Houze, and B. E. Mapes, Multiscale variability of deep convection in relation to large scale circulation in TOGA-COARE, J. Atmos. Sci., 53, 1380-1409, 1996.
7. Chéruy, F., R. S. Kandel, and J. P. Duvel, Outgoing longwave radiation and its diurnal variation from combined ERBE and Meteosat observations, part II, Using Meteosat data to determine the LW diurnal cycle, J. Geophys. Res., 96, 22,623-22,630, 1991.
8. Chou, C., and J. D. Neelin, Cirrus detrainment-temperature feedback, Geophys. Res. Lett., 26, 1295-1298, 1999.
9. Coakley, J., Jr., and F. P. Bretherton, Cloud cover from high resolution scanner data: Detecting and allowing for partially filled fields of view, J. Geophys. Res., 87, 4917-4932, 1982.
10. Desbois, M., G. Sèze, and G. Szejwach, Automatic classification of clouds on METEOSAT imagery: Application to high-level clouds, J. Appl. Meteorol., 21, 401-412, 1982.
11. Desbois, M., H. Laurent, L. Picon, and A. Szantai, Height Assignment of METEOSAT Water Vapor Hind Vectors in Clear Sky Areas, Notes du Laboratoire de Météorologie Dynamique, 1996.
12. de Waard, J., W. Menzel, and J. Schmelz, Atlantic data coverage by METEOSAT-3, Bull. Am. Meteorol. Soc., 73, 977-983, 1992.
13. Dewitte, S., P. Boekaerts, and F. Sirou, Determination of the ScaRaB FMI broadband channel point spread functions, IEEE Trans. Geosci. Remote Sens., 37(4), 2004-2010, 1999.
14. Diekmann, F. J., and G. L. Smith, Investigation of scene identification algorithms for radiation budget measurements, J. Geophys. Res., 94, 3395-3412, 1989.
15. Duvel, J.-Ph., and P. Raberanto, A geophysical cross-calibration approach for broadband channels: Application to the ScaRaB experiment, J. Atmos. Oceanic Technol., 17, 1609-1617, 2000.
16. Duvel, J.-Ph., S. Bouffis-Cloche, and M. Viollier, Determination of short-wave Earth reflectances from visible radiance measurements: Error estimate using ScaRaB data, J. Appl. Meteorol., 39, 957-970, 2000.
17. Duvel, J.-Ph., et al., and the International ScaRaB Scientific Working Group (ISSWG), The ScaRaB-Resurs Earth radiation budget dataset and first results, Bull. Am. Meteorol. Soc., 82(1), 1397-1408, 2001.
18. Ebert, E., and J. Curry, A parameterization of ice clouds optical properties for climate models, J. Geophys. Res., 97, 3831-3836, 1992.
19. Francis, R., The Meteorological Product Extraction Facility (MPEF) MTP-SPE-030, EUMETSAT, Darmstadt, Germany, 1996.
20. Haeffelin, M., B. Wielicki, J.-Ph. Duvel, K. Priestley, and M. Viollier, Intercalibration of CERES and ScaRaB Earth radiation budget datasets using temporally and spatially collocated radiance measurements, Geophys. Res. Lett., 28, 167-170, 2001.
21. Harrison, E. F., P. Minnis, B. R. Barkstrom, V. Ramanathan, R. D. Cess, and G. G. Gibson, Seasonal variation of cloud radiative forcing derived from the Earth Radiation Budget Experiment, J. Geophys. Res., 95, 18,687-18,703, 1990.
22. Highwood, E. J., and B. Hoskins, The tropical tropopause, Q. J. R. Meteorol. Soc., 124, 1579-1604, 1998.
23. Houze, R. A. J., and A. K. Betts, Convection in GATE, Rev. Geophys., 19, 541-576, 1981.
24. Huffmann, G. J., Estimates of root-mean-square random error contained in finite sets of estimated precipitation, J. Appl. Meteowl., 36, 1191-1201, 1997.
25. Huffmann, G. J., et al., The Global Precipitation Climatology Project (GPCP) combined precipitation dataset, Bull. Am. Meteorol. Soc., 78, 5-20, 1997.
26. Inamdar, A., and V. Ramanathan, Tropical and global scale interactions among water vapor, atmospheric greenhouse effect and surface temperature, J. Geophys. Res., 103, 32,177-32,194, 1998.
27. Intergovernmental Panel on Climate Change (IPCC), Climate change: The intergovememental panel in climate change scientific assessment, in International Geophysical Series, edited by J. T. Houghton, L. G. Meira Filho, B. A. Callender, N. Harris, A. Kattenberg, and K. Maskell, 572 pp., Cambridge Univ. Press, UK, 1995.
28. Kandel, R., et al., The ScaRaB earth radiation budget dataset, Bull. Am. Meteorol. Soc., 79, 765-783, 1998.
29. Laing, A. G., and J. M. Fritsch, Mesoscale convective complexes over the Indian monsoon region, J. dim., 6, 911-919, 1993.
30. Li, Z., and A. Trishchenko, Synchronous use of GOES and ScaRaB data for studying the Earth's radiation budget and cloud absorption, in Satellite Remote Sensing of Clouds and the Atmosphere, edited by J. D. Haigh, Vol. 3220 0277-786X, pp. 253-257, Int. Soc. for Opt. Eng., Bellingham, Washington, 1998.
31. Li, Z., and A. Trishchenko, A study towards an improved understanding of the relation between visible and SW albedo measurements, J. Atmos. Oceanic Technol., 17, 347-360, 1999.
32. Machado, L. A. T., M. Desbois, and J. P. Duvel, Structural characteristics of deep convective systems over tropical Africa and the Atlantic Ocean, Mon. Weather Rev., 120, 392-406, 1992.
33. Mapes, B. E., and R. A. J. Houze, Cloud clusters and superclusters over the oceanic warm pool, Mon. Weather Rev., 121, 1398-1415, 1993.
34. Minnis, P., D. F. Young, and E. F. Harrisson, Examination of the relationship between outgoing infrared window and total longwave flux using satellite data, J. Clim.,4, 1114-1133, 1991.
35. Moncrieff, M. W., and E. Klinker, Organized convective systems in the tropical western pacific as a process in general circulation models: A TOGA-COAREcase-study, Q. J. R. Meteorol. Soc., 123, 805-827, 1997.
36. Peixoto, J., and A. Oort, Physics of Climate, Am. Inst. of Phys., New York, 1992.
37. Picon, L., and M. Desbois, Relation between Meteosat water vapor radiances fields and large scale tropical circulation features, J. Clim., 3, 865-876, 1990.
38. Picon, L., S. Fongang, G. Sèze, and M. Desbois, African and Atlantic short-term climatic variations described from METEOSAT water vapor channel, Ann. Geophys., 13,768-13,781, 1995.
39. Pierrehumbert, R. T., Thermostat, radiator fins and the local runaway green-house effect, J. Atmos. Sci., 152, 1784-1806, 1995.
40. Pierrehumbert, R. T., and R. Roca, Evidence for control of Atlantic subtropical humidity by large scale advection, Geophys. Res. Lett., 25, 4537-4540, 1998.
41. Rajeevan, M., and J. Srinivasan, Net cloud radiative forcing at the top of the atmosphere in the Asian monsoon region, J. dim., 13, 650-657, 2000.
42. Ramanathan, V., R. D. Cess, E. F. Harrison, P. Minnis, B. R. Barkstrom, E. Ahmad, and D. Hartmann, Cloud-radiative forcing and climate: Results from the Earth Radiation Budget Experiment, Science, 243, 57-63, 1989.
43. Ramond, D., H. Corbin, M. Desbois, G. Szejwach, and P. Waldteufel, The dynamic of polar jet streams as depicted by the METEOSAT WV channel radiance fields, Mon. Weather Rev., 109, 2164-2176, 1981.
44. Redelsperger, J. L, The mesoscale organization of deep convection, in The Physics and Parameterization of Moist Atmospheric Convection, NATO ASI Series, edited by R. K. Smith, vol. 505, pp. 59-98, Kluwer Acad., Norwell, Mass., 1997.
45. Reynolds, R., A real-time global sea surface temperature analysis, J. dim., 1, 75-86, 1988.
46. Roca, R., Contribution l'étude de la vapeur d'eau, de la convection et de leurs interactions dans les tropiques l'aide d'observations de satellite et de modèles, PhD thesis, Univ. of Paris 7 Denis Diderot, 208 pages, 2000.
47. Roca, R., and V. Ramanathan, Scale dependence of monsoonal convective systems over the Indian Ocean, J. Clim., 13, 1286-1298, 2000.
48. Roca, R., L. Picon, M. Desbois, H. Le Treut, and J. J. Morcrette, Direct comparison of METEOSAT water vapor channel and general circulation model results, Geophys. Res. Lett., 24, 147-150, 1997.
49. Salathé, E., and D. Hartmann, A trajectory analysis of tropical upper tropospheric moisture and convection, J. dim., 10, 2533-2547, 1997.
50. Salathé, E., D. Chersters, and Y. Sud, Evaluation of the upper tropospheric moisture climatology in a general circulation model using TOYS radiance observations, J. Clim., 8, 2404-2414, 1995.
51. Salathé, E. P., Jr., and D. L. Hartmann, Subsidence and upper-tropospheric drying along trajectories in a general circulation model, J. Clim., 12, 257-263, 1999.
52. Satheesh, S. K., and V. Ramanathan, Large differences in tropical aerosols forcing at the top of the atmosphere and at Earth surface, Nature, 405, 60-63, 2000.
53. Schmelz, J., and Q. Liu, Outgoing longwave radiation and its diurnal variation at regional scales from Meteosat, J. Geophys. Res., 93, 11, 192-11, 204, 1988.
54. Schmelz, J., and O. Turpeinen, Estimalion of the upper tropospheric relative humidity field from METEOSAT water vapor image data, J. Appl. Meteorol., 27, 889-899, 1988.
55. Schmelz, J., et al., Satellite observations of upper tropospheric relative humidity, clouds and wind fields divergence, Beitr. Phys. Atmos., 68, 345-357, 1995.
56. Schmelz, J., S. A. Tjemkes, M. Cube, and L. van de Berg, Monitoring deep convection and convective overshooting with METEOSAT, Adv. Space Res., 19(3), 433-441, 1997.
57. Serra, J., Image Analysis and Mathematical Morphology, 2 vol., Academic, San Diego, Calif., 1988.
58. Sherwood, S., Maintenance of the free tropospheric tropical water vapor distribulion, 2, Simulalion by large scale advection, J. Clim., 9, 2919-2934, 1996.
59. Shimizu, A., and T. Tsuda, Variations in tropical tropopause observed with radiosondes in Indonesia, Geophys. Res. Lett., 27, 2541-2544, 2000.
60. Sikka, D., and S. Gadgil, On the maximum cloud zone and the ITCZ over the Indian Ocean longitudes during the south-west monsoon, Mon. Heather Rev., 108, 1840-1853, 1980.
61. Smith, G. L., R. N. Green, E. Raschke, L. M. Avis, J. T. Suttles, B. A. Wielicki, and R. Davies, Inversion methods for satellite studies of the Earth's radiation budget: Development of algorithms for the ERBE mission, Rev. Geophys., 24, 407-421, 1986.
62. Soden, B. J., Tracking upper tropospheric water vapor: A satellite perspective, J. Geophys. Res., 103, 17,069-17,081, 1998.
63. Soden, B. J., The diurnal cycle of convection, clouds and water vapor in the tropical upper troposphere, Geophys. Res. Lett., 27, 2173-2176, 2000.
64. Soden, B. J., and F. P. Bretherton, Upper tropospheric relative humidity from the GOES 6.7 microns channel: Method and evaluation for July 1987, J. Geophys. Res., 98, 16,669-16,688, 1993.
65. Soden, B. J., and F. P. Bretherton, Evaluation of water vapor distribution in general circulation models using satellite observations, J. Geophys. Res., 99, 1187-1210, 1994.
66. Soden, B. J., and R. Fu, A satellite analysis of deep convection, upper tropospheric humidity and the greenhouse effect, J. Clim., 8, 2333-2351, 1995.
67. Spencer, R., and W. Braswell, How dry is the tropical free troposphere?, Bull. Am. Meteorol. Soc., 78, 1097-1106, 1997.
68. Sun, D.-Z., and R. S. Lindzcn, Distribution of tropical tropospheric water vapor, J. Atmos. Sci., 50, 1643-1660, 1993.
69. 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, Angular Radiation Models for the Earth-Atmosphere System, NASA RP-1184, vol. 1 (SW radiation), 147 pp., 1988a.
70. Suttles, J. T., R. N. Green, G. L. Smith, B. A. Wielicki, I. J. Walker, V. R. Taylor, L. L. Stowe, Angular Radiation Models for the Earth-Atmosphere System, NASA RP-1184, Vol. II (LW radiation), 87 pp., 1988b.
71. Szejwach, G., Determination of cirrus cloud top temperature from infrared radiances: Application to METEOSAT, J. Appl., 284-294, 1982.
72. Takayama, G., Accuracy of in-flight calibration of the water vapour channel of a satellite radiometer by radiance calculations, Int. J. Remote Sens., 13, 1537-1548, 1992.
73. Trishchenko, A., and Z. Li, Use of ScaRaB measurements for validating a GOES-based TOA radiation product, J. Appl., 591-605, 1998.
74. Udelhofen, P., and D. Hartmann, Influence of tropical cloud systems on the relative humidity in the upper troposphere, J. Geophys. Res., 100, 7423-7440, 1995.
75. Van de Berg, L. C. J., J. Schmelz, and J. Whitlock, On the calibration of the Meteosat water vapor channel, J. Geophys. Res., 110, 21,069-21,076, 1995.
76. Viollier, M., R. Kandel, and P. Raberanto, Inversion and space-time averaging algorithms for ScaRaB (Scanner for Earth Radiation Budget): Comparison with ERBE, Ann. Geophys., 13, 959-968, 1995.
77. Websters, P. J., and G. L. Stephens, Tropical upper tropospheric extended cloud: Inferences from winter Monex, J. Atmos. Sci., 37, 1521-1541, 1980.
78. Wentz, F. J., A well-calibrated ocean algorithm for special sensor micro-wave/imager, J. Geophys. Res., 102, 8703-8718, 1997.
79. Wielicki, B. A., and R. N. Green, Cloud identification for ERBE radiative flux retrieval, J. Appl. Meteorol., 28, 1133-1146, 1989.
80. Wielicki, B. A., et al., Clouds and the Earth's radiant energy system (CERES): An Earth Observing System experiment, Bull. Am. Meteorol. Soc., 77, 853-868, 1996.
81. Wilcox, E. M., and V. Ramanathan, Scale dependence of the thermodynamic forcing of tropical monsoon clouds: Results from the TRMM observations, J. Climate, 14(1), 1511-1524, 2001.
82. Ye, Q., and J. A. Coakley Jr., Biases in Earth radiation budget observations, 2, Consistent scene identification and anisotropic factors, J. Geophys. Res., 101, 21,253-21,263, 1996.
83. Young, D. F., P. Minnis, D. R. Duelling, G. G. Gibson, and T. Wong, Temporal interpolation method for the Cloud and the Earth's Radiant Energy System (CERES) experiment, J. Appl. Meteorol., 37, pp. 572-590, 1998.
84. Zhang, G., D. Zurovac-Jevtic, and E. Boer, Spatial characteristics of the tropical clouds systems: Comparison between model simulation and satellite observations, Tellus, 51, 922-936, 1999.