– 328 to 662°F – 200 to 350°C Extension Grade – 76 to 212°F – 60 to 100°C

The difference in timing between when the annual temperature cycle reaches its peak and the time of maximum solar radiation is referred to as the lag in summer maximum temperatures. Values of the lag at a number of Australian extratropical locations are calculated using a harmonic method applied

The 2008-2009 winter was characterized by colder than normal temperatures and above normal snowfall for each month from October through March. While there was no one significant snow event that overshadowed any other this past winter, a bitterly cold Arctic outbreak that persisted for more than two

maximum temperature for the period 1994-2008 for the studies and those of 2009 for forecast validation of the chosen model, from the National Metrological Center, Oshodi- Nigeria. Model identification was by visual inspection of both the sample ACF and sample PACF to postulate many possible models

A method is developed for evaluating the local heating and cooling by radiation and related processes, for predicting the daily maximum temperature at Nashville, Tenn. 1.

Our object in this paper is to study the temperature variations in the Antarctic Peninsula using multiple regression models with correlated errors admitting ARMA models with nonGaussian innovations. We found that the fitted models adequately describe the variations. The data we consider are minimum/maximum

– 328 to 1652°F – 200 to 900°C Extension Grade 32 to 392°F 0 to 200°C

– 200 to 350°C Extension Grade – 76 to 212°F – 60 to 100°C

We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gathered

) based on a penalized log likelihood procedure and a nonlinear model applied to 174 daily summer maximum temperature series in the Greater Mediterranean Region covering the last 50–100 years. The break detection method does not rely on homogeneous reference stations and was chosen owing to the lack