Seasonal cycle dependence of temperature fluctuations in the atmosphere. Master's thesis
The correlation statistics of meteorological fields have been of interest in weather forecasting for many years and are also of interest in climate studies. A better understanding of the seasonal variation of correlation statistics can be used to determine how the seasonal cycle of temperature fluctuations should be simulated in noise-forced energy balance models. It is shown that the length scale does have a seasonal dependence and will have to be handled through the seasonal modulation of other coefficients in noise-forced energy balance models. The temperature field variance and spatial correlation fluctuations exhibit seasonality with fluctuation amplitudes larger in the winter hemisphere and over land masses. Another factor contributing to seasonal differences is the larger solar heating gradient in the winter.
- Research Organization:
- Air Force Inst. of Tech., Wright-Patterson AFB, OH (United States)
- OSTI ID:
- 6845652
- Report Number(s):
- AD-A-283220/2/XAB; AFIT/CI/CIA-94-103
- Resource Relation:
- Other Information: Master's thesis
- Country of Publication:
- United States
- Language:
- English
Similar Records
On the use of multivariate statistics to validate global climate models. Ph.D. Thesis
Seasonal cycle and second-moment statistics of a simple coupled climate system