the main objective of this paper is to study climate changes and fluctuations in the four synoptic stations in sistan and baluchistan province in the past few years and to analyze statistically and simulate and forecast for the next years (2040-2009). this study used data from the outputs of general circulation climate model echo-g with a1 scenario that are now used at the university of hamburg...

because of the scarcity of in situ measurements, estimation of soil temperature by other means is very indispensable, as for irrigation management and scheduling when in different field conditions. so far, many regression models have been developed for an estimation of soil temperature, using meteorological data under bare soil. throughout this study, the performance of coup simulation model an...

Site-specific and accurate prediction of daily minimum air and grass temperatures, made available online several hours before their occurrence, would be of significant benefit to several economic sectors and for planning human activities. Site-specific and reasonably accurate nowcasts of daily minimum temperature several hours before its occurrence, using measured sub-hourly temperatures hours ...

We present an analysis of seasonal cycle of the last 50 years of records of surface temperature in Italy. We consider two data sets which synthesize the surface temperature fields of Northern and Southern Italy. Such data sets consist of records of daily maximum and minimum temperature. We compute the best estimate of the seasonal cycle of the variables considered by adopting the cyclograms’ te...

Net photosynthesis and stomatal conductance were measured in ten red spruce (Picea rubens Sarg.) saplings, growing near Ithaca, New York, throughout the early spring and late-fall growing periods. Gas exchange and daily minimum and maximum soil and air temperatures were also measured. Linear regression analysis showed that rates of net photosynthesis were positively correlated with both minimum...

Run off resulted from rainfall is the main way of receiving water in most parts of the World. Therefore, prediction of runoff volume resulted from rainfall is getting more and more important in control, harvesting and management of surface water. In this research a number of machine learning and data mining methods including support vector machines, regression trees (CART algorithm), model tree...

spatial distribution of thermal regions is dependent on local factors and circulation patterns in long terms. recognition of spatial distribution of temperature in geographical regions could be help on planning and environmental policies. the aim of this paper is recognition and detachment of thermal regions in iran. for this object, maximum daily temperature data have been provided using 620 s...

Rangelands are one of the most vulnerable parts concerning the climatechanges‟ impacts. These impacts are even stronger in the arid and semi-arid areas whererangeland ecosystems are in critical conditions. Therefore, it is crucial to figure out theactual dynamics of climate variations on the rangelands. The aim of this research was todetermine climate changes in Khabr rangeland, Kerman, Iran. S...