Analysis of Climate Variability: Applications of Statistical by Antonio Navarra (auth.), Hans von Storch, Antonio Navarra

By Antonio Navarra (auth.), Hans von Storch, Antonio Navarra (eds.)

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By Antonio Navarra (auth.), Hans von Storch, Antonio Navarra (eds.)

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Extra resources for Analysis of Climate Variability: Applications of Statistical Techniques

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The key piece of observational evidence in the "global warming debate" is the "global" temperature series (Jones and Wigley, 1990). How much has the temperature risen? 11. L. E. B. E. Hansen and S. Manabe in providing model results is gratefully acknowledged. K. Department of the Environment.

There is no preferred propagation direction. 4). 2: Top: Spectrum ofsensible-plus-latent heat flux at Ocean Weather Station P (50 0 N, 145°W) over the period 1958-1967. The error bars represent 95% confidence intervals; the continuous line shows the white noise level. Bottom: corresponding sea-surface temperature spectrum. The continuous curve is the stochastic model prediction. (From Frankignoul, 1979). LATENT + SENSIBLE HEAT FLUX (OWS P, 50 o N, 145°W) 1958-1967 f" N E 210 3 ~ t ~t t t ct a: ~ u LU a.

From Wilson, 1975). 4: Zonal wavenumber speetrum for the interval July 1985 through June 1988 for the North Padfie site 4F N, 162°W. 027 epd. Power is expressed in deeibels down from the peak at eaeh frequeney at the peak meridional wavenumber. (From Chave et al. 3: Stochastic Climate Model 35 Wavenumber spectra of tropospheric variables have been primarily estimated from hemispheric or global data derived from operational products. Some spectra have been calculated for surface variables and fiuxes, but they are difficult to interpret in view of the spatial heterogeneity of the fields and their limited spatial resolution, so that idealized representations have been constructed for air-sea inter action studies (Frankignoul and Müller, 1979).

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