نتایج جستجو برای: synoptic station
تعداد نتایج: 51114 فیلتر نتایج به سال:
Today, the use of data recorded in synoptic stations of the country is one of the most significant sources of applied research for researchers. Data recorded automatically or manually at synoptic, climatological, and other stations are analyzed for statistical analysis. In this research, the data recorded in the synoptic stations of Iran, which are used to determine the days of dust, were analy...
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...
Drought is a natural feature of the climate condition, and its recurrence is inevitable. The main purpose of this research is to evaluate the effects of climatic factors on prediction of drought in different areas of Yazd based on artificial neural networks technique. In most of the meteorological stations located in Yazd area, precipitation is the only measured factor while generally in synopt...
in this research the daily data of 69 climatic variables (wind direction, wind speed, dry temperature, wet temperature, maximum and minimum temperature, average daily temperature, precipitation, relative humidity, station level pressure, cloudiness, horizontal visibility, vapor pressure, â¦) of abumoosa synoptic station during the years 1362-1388 were studied. initially, a data base of variabl...
Flood is one of the most destructive natural phenomena. Every year it brings extensive losses to the country’s financial and human resources. In our country, major parts of Iran’s provinces are always at risk of flooding. The Gorgan and Atrak catchments have also become more important, as several floods have occurred in Golestan province in recent years, causing many deaths and economic losses....
The aim of this paper is to project extreme precipitation events in an arid and a semiarid station. In order to project climate change based on general circulation models (GCMs), we have applied LARS-WG[1] downscaling tool. This stochastic weather generator down-scaled the climate of two synoptic stations using HADCM3 model and A2 emission scenario for 2040. We extracted extreme precipitation e...
Rainfall is the main source of the available water for human. Predicting the amount of the future rainfall is useful for informed policies, planning and decision making that will help potentially make optimal and sustainable use of available water resources. The main aim of this study was to investigate the trend and forecast monthly rainfall of selected synoptic station in Ardabil province usi...
Temperature change in the future, which is very important in terms of agriculture, development and health, can be one of the consequences of climate change and global warming. Knowing how it can be a significant help to the agricultural sector and development issues and managerschr(chr(chr(chr('39')39chr('39'))39chr(chr('39')39chr('39')))39chr(chr(chr('39')39chr('39'))39chr(chr('39')39chr('39')...
In this research, 5 percent of normal Precipitation Index (PNPI),Deciles of Precipitation(DPI),Rainfall Anomaly Index (RAI), Bahlme & Mooley Drought Index (BMDI) and standardized Precipitation Index (SPI) were used in order to investigate drought in Yazd synoptic station and 31 non synoptic stations all around this province. For this purpose, the present statistical errors were reconstructed vi...
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