The Effective Number of Spatial Degrees of Freedom of a Time-Varying Field
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[1] C. Schär,et al. A principal component and long‐term trend analysis of daily precipitation in Switzerland , 1997 .
[2] Eduardo Damasio Da Costa,et al. A Qualitatively Realistic Low-Order Model of the Extratropical Low-Frequency Variability Built from Long Records of Potential Vorticity. , 1997 .
[3] V. Dymnikov,et al. On the structure of the attractors of the finite-dimensional approximations of the barotropic vorticity equation on a rotating sphere , 1997 .
[4] Huug van den Dool,et al. Analysis of model-calculated soil moisture over the United States (1931-1993) and applications to long-range temperature forecasts , 1996 .
[5] Z. Tóth,et al. Degrees of freedom in Northern Hemisphere circulation data , 1995 .
[6] Klaus Fraedrich,et al. Estimates of Spatial Degrees of Freedom , 1995 .
[7] John M. Wallace,et al. The Signature of ENSO in Global Temperature and Precipitation Fields Derived from the Microwave Sounding Unit , 1994 .
[8] Donald B. Percival,et al. Spectral Analysis for Physical Applications , 1993 .
[9] Audra E. Kosh,et al. Linear Algebra and its Applications , 1992 .
[10] E. Lorenz. Dimension of weather and climate attractors , 1991, Nature.
[11] J. Wallace,et al. Does low-frequency atmospheric variability exhibit regime-like behavior? , 1991 .
[12] G. der Megreditchian. Meteorological networks optimization from a statistical point of view , 1989 .
[13] R. Vautard,et al. Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series , 1989 .
[14] Masayuki Ishida,et al. Number of degrees of freedom, correlation times, and equivalent bandwidths of a random process , 1988, IEEE Trans. Inf. Theory.
[15] H. M. Dool. An Empirical Study on the Parameterization of Precipitation in a Model of the Time Mean Atmosphere , 1987 .
[16] R. Chervin,et al. A Comparison of Month-to-Month Persistence of Anomalies in a General Circulation Model and in the Earth's Atmosphere , 1986 .
[17] F. Zwiers,et al. The interpretation and estimation of effective sample size , 1984 .
[18] R. E. Livezey,et al. Statistical Field Significance and its Determination by Monte Carlo Techniques , 1983 .
[19] Robert F. Cahalan,et al. Sampling Errors in the Estimation of Empirical Orthogonal Functions , 1982 .
[20] G. Reinsel,et al. Introduction to Mathematical Statistics (4th ed.). , 1980 .
[21] R. Laha. Probability Theory , 1979 .
[22] Russ E. Davis,et al. Predictability of Sea Surface Temperature and Sea Level Pressure Anomalies over the North Pacific Ocean , 1976 .
[23] Richard H. Jones. Estimating the Variance of Time Averages , 1975 .
[24] C. E. Leith,et al. The Standard Error of Time-Average Estimates of Climatic Means , 1973 .
[25] J. W. Tukey,et al. The Measurement of Power Spectra from the Point of View of Communications Engineering , 1958 .
[26] G. Orcutt,et al. TESTING THE SIGNIFICANCE OF CORRELATION BETWEEN TIME SERIES , 1948 .
[27] J. M. Hammersley,et al. The “Effective” Number of Independent Observations in an Autocorrelated Time Series , 1946 .
[28] M. S. Bartlett,et al. Some Aspects of the Time-Correlation Problem in Regard to Tests of Significance , 1935 .
[29] Geoffrey Ingram Taylor,et al. Diffusion by Continuous Movements , 1922 .