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  • Bony, S., and J. P. Duvel, 1994: Influence of the vertical structure of the atmosphere on the seasonal variation of the precipitable water and greenhouse effect. J. Geophys. Res.,99, 12 963–12 980.

  • ——, ——, and H. Le Treut, 1995: Observed dependence of the water vapor and clear-sky greenhouse effect on sea surface temperature: Comparison with climate warming experiments. Climate Dyn.,11, 307–320.

  • ——, S. M. Lau, and Y. C. Sud, 1997: Sea surface temperature and large-scale circulation influences on tropical greenhouse effect and cloud radiative forcing. J. Climate,10, 2055–2077.

  • 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. Climate Appl. Meteor.,24, 128–143.

  • Chéruy, F., N. A. Scott, R. Armante, B. Tournier, and A. Chédin, 1995: Contribution to the development of radiative transfer models for high spectral resolution observations in the infrared. J. Quant. Spectrosc. Radiat. Transfer,53, 597–612.

  • ——, F. Chevallier, N. A. Scott, and A. Chédin, 1996: Use of the vertical sounding in the infrared for the retrieval and the analysis of the longwave radiative budget. Proc. Int. Radiation Symp., Fairbanks, AK, 745–748.

  • Chevallier, F., F. Chéruy, N. A. Scott, and A. Chédin, 1998: A neural network approach for a fast and accurate computation of longwave radiative budget. J. Appl. Meteor.,37, 1385–1397.

  • ——, ——, R. Armante, C. Stubenrauch, and N. A. Scott, 2000: Retrieving the clear-sky vertical longwave radiative budget from TOVS: Comparison of a neural network-based retrieval and a method using geophysical parameters. J. Appl. Meteor., in press.

  • Duvel, J. P., and F. M. Bréon, 1991: The clear-sky greenhouse effect sensitivity to a sea surface temperature change. J. Climate,4, 1162–1169.

  • Edwards, J. M., and A. Slingo, 1996: Studies with a flexible new radiation code. I: Choosing a configuration for a large scale model. Quart. J. Roy. Meteor. Soc.,122, 689–719.

  • Gibson, J. K., P. Ka̧llberg, S. Uppala, A. Hernandez, A. Nomura, and E. Serrano, 1997: ECMWF Re-analysis. 1. ERA description. ECMWF Project Report Series, Vol. 1, ECMWF, 72 pp.

  • Hallberg, R., and A. K. Inamdar, 1993: Observations of seasonal variations in atmospheric greenhouse trapping and its enhancement at high sea surface temperature. J. Climate,6, 920–930.

  • Harrison, E. F., P. Minnis, B. R. Barkström, V. Ramanathan, R. D. Cess, and G. G. Gibson, 1990: Seasonal variation of cloud radiative forcing derived from the Earth Radiation Budget Experiment. J. Geophys. Res.,95, 18 687–18 703.

  • Inamdar, A. K., and V. Ramanathan, 1994: Physics of greenhouse effect and convection in warm oceans. J. Climate,7, 715–731.

  • Maiden, M. E., and S. Greco, 1994: NASA’s Pathfinder data set programme: Land surface parameters. Int. J. Remote Sens.,15, 3333–3345.

  • Manabe, S., and R. Wetherald, 1967: Thermal equilibrium of the atmosphere with a given distribution of relative humidity. J. Atmos. Sci.,24, 241–259.

  • McPeters, R. D., D. F. Heath, and P. K. Bhartia, 1984: Average ozone profiles for 1979 from the NIMBUS-7 SBUV instrument. J. Geophys. Res.,89 (D4), 5199–5214.

  • Morcrette, J.-J., 1991: Radiation and cloud radiative properties in the European Centre for Medium-Range Weather Forecasts forcasting system. J. Geophys. Res.,96 (D5), 9121–9132.

  • Ramanathan, V., and W. Collins, 1991: Thermodynamic regulation of ocean warming by cirrus clouds deduced from observations of the 1987 El-Nino. Nature,351, 27–32.

  • Raval, A., and V. Ramanathan, 1989: Observational determination of the greenhouse effect. Nature,342, 758–761.

  • Reynolds, R. W., and T. M. Smith, 1994: Improved global sea surface temperature analyses. J. Climate,7, 929–948.

  • Rodgers, C. D., and C. D. Walshaw, 1966: The computation of infra-red cooling rate in planetary atmospheres. Quart. J. Roy. Meteor. Soc.,92, 67–92.

  • Scott, N. A, and Coauthors, 1999: Characteristics of the TOVS Pathfinder Path-B dataset. Bull. Amer. Meteor. Soc.,80, 2679–2701.

  • Simpson, J., C. Kummerow, W.-K. Tao, and R. F. Adler, 1996: On the Tropical Rainfall Measuring Mission (TRMM). Meteor. Atmos. Phys.,60, 19–36.

  • Sinha, A., 1995: Relative influence of lapse rate and water vapor on the greenhouse effect. J. Geophys. Res.,100 (D3), 5095–5103.

  • Slingo, A., J. A. Pamment, and M. J. Webb, 1998: A 15-year simulation of the clear-sky greenhouse effect using the ECMWF re-analyses: Fluxes and comparisons with ERBE. J. Climate,11, 690–708.

  • Smith, W. L., 1966: Note on the relationship between the total precipitable water and surface dew point. J. Appl. Meteor.,5, 726–727.

  • Stephens, G.-L., and T. J. Greenwald, 1991: The Earth’s radiation budget and its relation to the atmospheric hydrology. 1. Observations of the clear sky greenhouse effect. J. Geophys. Res.,96, 15 311–15 324.

  • ——, D. L. Jackson, and J. J. Bates, 1994: A comparison of SSMI/I and TOVS column water vapor data over the global oceans. Meteor. Atmos. Phys.,54, 183–201.

  • Susskind, J., J. P. Piraino, L. Rokke, L. Iredell, and A. Mehta, 1997:Characteristics of the TOVS Pathfinder Path A dataset. Bull. Amer. Meteor. Soc.,78, 1449–1472.

  • Webb, M. J., A. Slingo, and G. L. Stephens, 1993: Seasonal variations of the clear-sky greenhouse effect: The role of changes in atmospheric temperature and humidities. Climate Dyn.,9, 117–129.

  • Zhong, W., and J. D. Haigh, 1995: Improved broadband emissivity parameterization for water vapor cooling rate calculations. J. Atmos. Sci.,52, 124–138.

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Regional and Seasonal Variations of the Clear Sky Atmospheric Longwave Cooling over Tropical Oceans

F. ChéruyLaboratoire de Météorologie Dynamique du CNRS, Paris, France

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F. ChevallierLaboratoire de Météorologie Dynamique du CNRS, Palaiseau, France

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Print Publication:
15 Aug 2000
DOI:
https://doi.org/10.1175/1520-0442(2000)013<2863:RASVOT>2.0.CO;2
Page(s):
2863–2875
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Abstract

The vertical distribution of the clear sky longwave cooling of the atmosphere over tropical oceans is inferred from three different datasets. Two of the datasets refer to the TIROS-N Operational Vertical Sounder (TOVS) NOAA/NASA Pathfinder project, PathA and PathB, and the last one refers to the ECMWF reanalysis (ERA-15). Differences are identified originating from the temperature and water vapor fields. They affect the geographical distribution of the longwave fields to various degrees. However, the three datasets lead to similar conclusions concerning the sensitivity of the clear sky total longwave cooling to SST variations. For the highest values of the SST (greater than 27°C), positively correlated to the increased efficiency of the longwave trapping (super-greenhouse effect), the atmosphere shows a lesser efficiency to cool radiatively. The atmosphere does reradiate the longwave radiation toward the surface as efficiently as it traps it. This is verified on regional as well as on seasonal scales. Such longwave cooling behavior is due to an increased mid- and upper-tropospheric humidity resulting from convective transports. The three datasets agree with the vertical distribution of the radiative cooling variations from normal to favorable to super-greenhouse effect conditions, except in the boundary layer, where the coarse resolution of the TOVS-retrieved data makes them not reliable in it. In “normal” conditions the cooling uniformly increases over the vertical with the SST. Over 27°C, the cooling is intensified above 400 hPa and reduced between 900 and 400 hPa.

* Current affiliation: European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom.

Corresponding author address: F. Chéruy, LMD, Université Paris 6, Tour 25-15, case postale 99, 4 place Jussieu, 75252 Paris cédex 05, France.

Email: cheruy@lmd.jussieu.fr

Abstract

The vertical distribution of the clear sky longwave cooling of the atmosphere over tropical oceans is inferred from three different datasets. Two of the datasets refer to the TIROS-N Operational Vertical Sounder (TOVS) NOAA/NASA Pathfinder project, PathA and PathB, and the last one refers to the ECMWF reanalysis (ERA-15). Differences are identified originating from the temperature and water vapor fields. They affect the geographical distribution of the longwave fields to various degrees. However, the three datasets lead to similar conclusions concerning the sensitivity of the clear sky total longwave cooling to SST variations. For the highest values of the SST (greater than 27°C), positively correlated to the increased efficiency of the longwave trapping (super-greenhouse effect), the atmosphere shows a lesser efficiency to cool radiatively. The atmosphere does reradiate the longwave radiation toward the surface as efficiently as it traps it. This is verified on regional as well as on seasonal scales. Such longwave cooling behavior is due to an increased mid- and upper-tropospheric humidity resulting from convective transports. The three datasets agree with the vertical distribution of the radiative cooling variations from normal to favorable to super-greenhouse effect conditions, except in the boundary layer, where the coarse resolution of the TOVS-retrieved data makes them not reliable in it. In “normal” conditions the cooling uniformly increases over the vertical with the SST. Over 27°C, the cooling is intensified above 400 hPa and reduced between 900 and 400 hPa.

* Current affiliation: European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom.

Corresponding author address: F. Chéruy, LMD, Université Paris 6, Tour 25-15, case postale 99, 4 place Jussieu, 75252 Paris cédex 05, France.

Email: cheruy@lmd.jussieu.fr

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