large-scale climatic signals including ocean-atmosphere interactions, are the main factors influencing the earth’s climatic oscillations and are the most important indices in predicting of climate variables. in this research, precipitation in the next month was predicted by applying artificial neural network (ann), neuro-fuzzy network (nfn), and multiple linear regression (mlr) in semnan synopt...

many of the meteorological variables such as precipitation, strongly depend on the large scale atmospheric and ocean surface circulations.in the current study, the effect of climatic signals on the average monthly rainfall of the adjacent stations of sheshdeh and gharebolagh area was investigated during the statistical period twenty five years from 1985 to 2009. the regression and neural networ...

The influence of decadal scale climatic variations on the decline of Columbia River salmon was not realized until recently. I evaluate the implications of this omission using a stock recruitment model with climatic and anthropogenic factors. I conclude that fisheries managers over the past century have misinterpreted the anthropogenic impacts on Columbia River salmon. In particular, I suggest t...

the aim of this research is investigating the relations between climatic large scale signals and spring rainfall of khorasan-e razavi province. in this research, we have analyzed 38 years of rainfall data in khorasan-e razavi province, located in northeastern iran. we attempted to train artificial neural network based upon climatic large scale signals with 38 years of rainfall data. for perform...

â â  a great portion of precipitation in the south western iran falls in the snow formation. surface runoff produced from melting snow has an important role in the recharging ground water, surface and subsurface flows. rapid snowmelt can even cause flooding . since the snowmelt cannot be easily detected from optical satellite images, snow cover area (sca) is derived as an important hydrological...