abstract evapotranspiration as one of the important elements in agriculture has a considerable role in water resource management. therefore, using a more exact estimation method is an essential step of agricultural development, especially in arid semi-arid area. in this research, in order to exact estimate of garlic evapotranspiration using lysimeteric data, an artificial neural network (ann) m...

abstract accurate prediction of hourly minimum temperature is required for various crop models which simulate photosynthesis and transpiration. such data can be used for crop protection and reducing the crops injuries due to freezing as well. our objective of this study is employing trigonometric and pattern recognition (k-nn) approaches to evaluate their potential in prediction of hourly tempe...

An empirical model is developed to predict daily maximum stream temperatures for the summer period. The model is created using a stepwise linear regression procedure to select significant predictors. The predictive model includes a prediction confidence interval to quantify the uncertainty. The methodology is applied to the Truckee River in California and Nevada. The stepwise procedure selects ...

the geographical distribution of growing degree-days (gdds) within iran was studied using gis-based maps. gdds were calculated using daily thermal parameters (daily maximum and minimum air temperature). based on the purpose of the study and climatic conditions of iran, the average value of 5?c was chosen for gdd calculation. the calculations were carried out using daily weather data of 113 mete...

the relationship between the stratospheric conditions and evolution, and the surface weather, not only has revolutionized our understanding of the functions of different atmospheric layers and their dynamics, but has also brought about potential implications for weather and climate predictions in almost any region of the planet. obtaining a better understanding of the field, particularly in sou...

BACKGROUND Extremely high temperatures over many consecutive days have been linked to an increase in renal disease in several cities. This is becoming increasingly relevant with heatwaves becoming longer, more intense, and more frequent with climate change. This study aimed to extend the known relationship between daily temperature and kidney disease to include the incidence of eight temperatur...

This study analyses potential associations between day-to-day variations in common ragweed pollen counts in the southern Hungarian district of Szeged and meteorological variables using adapted factor analysis. The database includes ten years (1997-2006) worth of data on daily common ragweed pollen ratios (value on the given day per value on the day before) and daily differences (value on the gi...