A statistical method for testing a general circulation model with spectrally resolved satellite data

Journal of Geophysical Research Atmospheres

Volumn 102, Issue 14, 1997, Pages 16563-16581

  Haskins, Robert D ^a   Goody, Richard M ^a   Chen, Luke ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GCM; SATELLITE DATA;

EID: 0542452560     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/97jd00897     Document Type: Article

References (30)

1. Barnett, T. P., Detection of changes induced in the global tropospheric temperature field induced by greenhouse gases, J. Geophys. Res., 91, 6659-6667, 1986.
2. Barnett, T. P., and M. E. Schlesinger, Detecting changes in global climate induced by greenhouse gases, J. Geophys. Res., 92, 14,772-14,780, 1987.
3. Chou, M-D, Coolness in the tropical Pacific during an El Nino episode, J. Clim., 7, 1684-1692, 1994.
4. Clough, S. A., and M. J. Iacono, Line-by-line calculation of atmospheric fluxes and cooling rates, 2, Application to carbon dioxide, ozone, methane, nitrous oxide, and the halocarbons, J. Geophys. Res., 100, 16,519-16,536, 1995.
5. Gates, W. L., AMIP: The atmospheric model intercomparison project, Bull. Am. Meteorol. Soc., 73(12), 1962-1970, 1992.
6. Gates, W. L., The validation of atmospheric models, in Global Change, pp. 218-232, Off. for Off. Publ. of the Eur. Communities, Luxembourg, 1995.
7. Goody, R. M., Principles of Atmospheric Physics and Chemistry, pp. 135, 147-150, Oxford Univ. Press, New York, 1995.
8. Goody, R. M., R. D. Haskins, W. Abdou, and L. Chen, Detection of climate forcing using emission spectra, Earth Obs. Remote Sens., 5, 22-33, 1995.
9. Hall, M. C. G., and D. G. Cacuci, Physical interpretation of adjoint functions and sensitivity analysis of atmospheric models, J. Atmos. Sci., 40, 2537-2566, 1983.
10. Hanel, R. A., B. J. Conrath, V. G. Kunde, C. Prabhakara, I. Revah, V. V. Salomonson, and G. Wolford, The Nimbus 4 infrared spectroscopy experiment, 1, Calibrated thermal emission spectra, J. Geophys. Res., 77, 2629-2641, 1972.
11. Hansen, J., A. Lacis, R. Ruedy, and M. Santo, Potential climate impact of Mount Pinitubo eruption, Geophys. Res. Lett., 19, 215-218, 1992.
12. Hansen, J., A. Lacis, R. Ruedy, M. Santo, and H. Wilson, How sensitive is the world's climate?, Natl. Geogr. Res. Explor., 2, 142-158, 1993.
13. Haskins, R. D., T. Barnett, M. Tyree, and E. Roeckner, Comparison of cloud fields from atmospheric general circulation model, in situ and satellite measurements, J. Geophys. Res., 100, 1367-1378, 1995.
14. Hasselmann, K., On the signal-to-noise problem in atmospheric response studies, in Meteorology Over the Tropical Oceans, edited by D. B. Shaw, pp. 251-259, R. Meteorol. Soc., London, 1979.
15. Hasselmann, K., Optimal fingerprints for the detection of time-dependent change, J. Clim., 6, 1957-1971, 1993.
16. Iacono, M. J., and S. A. Clough, Application of infrared interferometer spectrometer clear sky spectral radiance to investigations of climate variability, J. Geophys. Res., 101, 29,439-29,460, 1996.
17. Kneizys, F. X., E. P. Shettle, L. W. Abreu, J. H. Chetwynd, G. P. Anderson, W. O. Gallery, J. E. A. Selby, and S. A. Clough, 1988: Users guide to LOWTRAN 7, Tech. Rep. AFGL-TR-88-0177, Air Force Geophys. Lab., Hanscom, Mass., 1988.
18. Lindzen, R. S., Constraining feasibilities versus signal detection, in Review of Climate Variability on the Decade to Century Time Scale, pp. 25-30 Natl. Res. Counc., Washington, D. C., 1995.
19. Lindzen, R. S., Can increasing carbon dioxide cause climate change?, Proc. Natl. Acad. Sci. U.S.A., in press, 1997.
20. North, G. R., K.-Y. Kim, S. S. P. Shen, and J. W. Hardin, Detection of forced climate signals, I, Filter theory, J. Clim., 8, 401-408, 1995.
21. Oreskes, N., K. Shrader-Frechette, and K. Belitz, Verification, validation, and confirmation of numerical models in Earth sciences, Science, 263, 641-646, 1994.
22. Palmer, T. N., and P. J. Webster, Toward a unified approach to climate and weather predictions, in Global Change, pp. 265-280, Off. for Off. Publ. of the Eur. Communities, Luxembourg, 1995.
23. Polyak, I., Observed second-moment climate statistics in GCM verification problems, J. Atmos. Sci., 53, 608-627, 1996.
24. Preisendorfer, R. W., Principal Component Analysis in Meteorology and Oceanography, edited by C. D. Mobely, 425 pp. Elsevier, New York 1988.
25. Reynolds, R. W., A real-time global sea surface temperature analysis, J. Clim., 1, 75-86, 1988.
26. Schlesinger, M. E., Model simulation-observation intercomparison strategies for estimating the sensitivity of the climate system to increase in greenhouse gases, in Global Change, pp. 281-291, Off. for Off. Publ. of the Eur. Communities, Luxembourg, 1995.
27. Slingo, A., and M. J. Webb, The spectral signature of global warming, Q. J. R. Meteorol. Soc., 123, 293-308, 1996.
28. Talagrand, O., and P. Courtier, Variational assimilation of meteorological observations with the adjoint vorticity equation, I, Theory, Q. J. R. Meteorol Soc., 113, 1311-1328, 1987.
29. Thériault, J.-M., G. P. Anderson, J. H. Chetwynd, Y. Qu, E. Murphy, V. Turner, M. Cloutier, A. Smith, Retrieval of tropospheric profiles from IR emission spectra: Investigations with the double beam interferometer sounder (DBIS), in Optical Remote Sensing of the Atmosphere 1993 Technical Digest, vol. 5, p. 78, Opt. Soc. of Am., Washington, D. C., 1993.
30. Wigley, T. M. L., and T. P. Barnett, Detection of the greenhouse effect in the observations, in Climate Change, IPCC Scientific Assessment, pp. 243-254, Cambridge Univ., New York, 1990.