Statistical procedures for estimating and detecting climate changes

Advances in Atmospheric Sciences

Volumn 23, Issue 1, 2006, Pages 61-68

  Shen, S S P ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Climate change detection; Inference; Linear regression; Mean square error; Multi variate analysis; Optical detection; Optimal averaging

Indexed keywords

EID: 32144435750     PISSN: 02561530     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00376-006-0007-4     Document Type: Article

References (14)

1. Folland, C. K., and Coauthors, 2001: Global temperature change and its uncertainties since 1861. Geophys. Res. Lett., 28, 2621-2624.
2. Gillett, N. P., M. F. Wehner, S. F. B. Tett, and A. J. Weaver, 2004: Testing the linearity of the response to combined greenhouse gas and sulfate aerosol forcing. Geophys. Res. Lett., 31(14), L14201, doi:10.1029/2004GL020111.
3. Grayhill, F. A., and H. K. Iyer, 1994: Regression Analysis: Concepts and Applications. Duxbury Press, California, 701pp.
4. Hasselmann, K. 1993: Optimal fingerprints for the detection of time-dependent climate change. J. Climate, 6, 1957-1971.
5. Huang, N. E., M. C. Wu, S. R. Long, S. S. P. Shen, N. H. Hsu, D. Xiong, W. Qu, and P. Gloersen, 2003: On the establishment of a confidence limit for the empirical mode decomposition and Hilbert spectral analysis. Proc. Roy. Soc. London. Series A., 459, 2317-2345.
6. IPCC, 2001: Climate Change 2001: The Scientific Basis. Houghton et al., Eds., Cambridge University Press, Cambridge, United kingdom and New York, USA, 881pp.
7. Johnson, R. A., and D. W. Wichern, 1992: Applied Multivariate Statistical Analysis. Prentice Hall, New Jersey, 642pp.
8. Lin, Q., 2002: High performance finite element methods. Recent Progress in Computational and Applied PDES. Proc. of the International Symposium on computational and Applied PDES, July 2001, Zhangjiajie, China, Kluwer Academic Publishers, New York, 267-286.
9. North, G. R., K. Y. Kim, S. S. P. Shen and J. W. Hardin, 1995: Detection of forced climate signals. Part I: Theory. J. Climate, 8, 401-408.
10. North, G. R., and Q. Wu, 2001: Detecting climate signals using space-time EOFs. J. Climate, 14, 121-145.
11. Oh, H. S., C. Ammann, P. Naveau, D. Nychka, and B. Otto-Bliesner, 2003: Multi-resolution time series analysis applied to solar irradiance and climate reconstructions. J. Atmospheric and Solar-Terrestrial Phys., 65, 191-201.
12. Shen, S. S. P., G. R. North, and K. Y. Kim, 1994: Spectral approach to optimal estimation of the global average temperature. J. Climate, 7, 1999-2007.
13. Shen, S. S. P., T. M. Smith, C. F. Ropelewski, and R.E. Livezey, 1998: An optimal regional averaging method with error estimates and a test using tropical Pacific SST data. J. Climate, 11, 2340-2350.
14. Zwiers, F. W., 1999: Climate Change Detection: A review of techniques and applications. 1999: Anthropogenic Climate Change, Proc. of the First GKSS Spring School on Environmental Research, von Storch et al., Eds., Springer Verlag, 161-203.