Sentence examples for mean temperature average from inspiring English sources

The main input features employed to train individual and hybrid neural networks that include average dew point, minimum temperature, maximum temperature, mean temperature, average relative moistness, precipitation, normal wind speed, high wind speed and average cloudiness.

The input feature vector includes average dew point, minimum temperature, maximum temperature, mean temperature, average relative moistness, precipitation, normal wind speed, high wind speed, average cloudiness and output layer composed of two neurons to represent rainy and dry weather.

In this study, exponential temperature correlations are used in a gray-box approach to provide information about the estimated mean temperature, average power consumption, and number of compressor starts per hour.

These included average annual mean temperature, average annual minimum and maximum temperature, average winter minimum and maximum temperature, average annual rainfall and total monthly rainfall in winter and in summer.

Our initial results showed that mean temperature (average of maximum and minimum temperatures) was a better predictor than maximum and minimum temperatures.

Expected mean temperature averages from a 30-year-period (temp) for each site were obtained from the New Zealand National Climate Database (NIWA 2005).

In the Waikato region, daily mean temperature averaged 15°C in pasture streams, around 2°C higher than in indigenous and planted forest streams.

The observed 5 year mean temperature averaged over the upper 500 m of the SPG is shown in Figure  1a (red and blue shading).

With July mean temperatures averaging about 60 °F (16 °C) and daily temperatures reaching only into the 70s and sometimes 80s (i.e., between about 21 and 29 °C), climate does not prevent the growth of certain crops.

The wet tests were conducted in an isothermal condition, with an ambient and skin mean temperatures averaged ∼35 °C, the evaporative resistance, Ret, varied between 36 and 60 m2 Pa W−1.

When fine-grained environmental variables are used in analyses of individual phenotypic plasticity for avian phenology, they are commonly daily mean temperatures averaged over certain fixed calendar dates, which limits the possibility to extrapolate to other systems.