abstract due to low spatial resolution or simplifying of some micrometeorological phenomena, atmospheric general circulation models are not able to give a good estimation for weather conditions over study area. so their outputs should downscale into weather stations scales. in this research data of hadcm3 downscaled by using lars-wg5 with three scenarios, confirmed by ipcc including a1b, a2 and...

In this study, global solar radiation was predicted using artificial neural networks. Gradient descent back propagation with adaptive learning rate was used for training the artificial neural network. In order to train and test the neural network, meteorological day average data like maximum ambient temperature, minimum ambient temperature and minimum relative humidity values were used for pred...

since many time series are not normal, it is required to normalize data by transformation functions prior to any analysis and modeling. in this study, the next month rainfall of abadeh county station was predicted using the average monthly rainfall, minimum and maximum temperatures and minimum and maximum humidity as inputs of mlp network, both normally and raw, at period 1976 to 2013. after sc...

in this study, we aimed to reconstruct the mean, maximum mean and ‎minimum mean temperature from the chronology of tree rings width of two ‎quercus persica sites in dena region, where efficient climatic data have a ‎short period (1982-2011). the duration of common chronology of the sites ‎is 131 years (1881-2011).considering the strong correlation between ‎climatic data and growth rin...

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...

analysis of the spatial and temporal trends of precipitation and temperature are pertinent for future development and sustainable management of water resources in a given region. in this paper, we present a study concerning the climatic behavior of two principal observables variables, viz. monthly temperature (maximum and minimum) and mean precipitations obtained from the measurements carried o...

the aim of this paper is detection of exist of significance climatic trend in west-half of iran. it’s used monthly data of 16 climatic variables on 12 selected synoptic stations in period of 50 years statistic(1951-2000). the variables divided to two temperature and humid groups. the analysis methodology of the study is based on multivariable statistical analysis and box- jenkins forecasting mo...

Plants of the Urticaceae family can develop into a pest on soils enriched with nitrogen. Urticaceae pollen is a biohazard because it elicits severe pollinosis. Pollen grains were sampled by using a Lanzoni seven-day-recording trap from February 1995-December 2000 in the atmosphere of the city of Ponferrada (Leon, North Western Spain). The Spearman test was used to analyse the statistical correl...