نتایج جستجو برای: 1991 from 17 synoptic stations environmental data
تعداد نتایج: 6993618 فیلتر نتایج به سال:
Cloud amount statistics from three different sources were processed and compared. Surface observations from a National Centers for Environmental Prediction dataset were used. The data (Edited Cloud Report; ECR) consist of synoptic weather reports that have been edited to facilitate cloud analysis. Two stations near the Southern Great Plains (SGP) Cloud and Radiation Test Bed (CART) in north-cen...
Identification of trend and drought characteristics play an important role in the development and management of water resources. In this study, the spatio-temporal characteristics of SPEI index in short, medium, long and annual scales (SPEI3, SPEI6 and SPEI9) in Urmia Lake basin were investigated. for this purpose, temperature and precipitation data from 4 synoptic stations of Tabriz, Urmia,...
Quantitative evaluation of evapotranspiration on a regional scale is necessary for water resources management, crop production and environmental assessments in irrigated lands. In this study, in order to estimate ETo and because of few synoptic stations and also little recorded meteorological data in North Khorasan Province, Iran, with arid and semi-arid climate, 7 stations from neighboring pro...
with the increasing population and the need for more food, as well as with the development of science and technology, human approach to unnatural and often chemical inputs to increase agricultural production has been a great expansion and problems such as increased cancers, chronic diseases has created environmental pollution. implementation of organic organic is a solution to these problems . ...
This study uses a statistical downscaling method based on self-organizing maps (SOMs) to produce highresolution, downscaled precipitation estimates over the state of Pennsylvania in the mid-Atlantic region of the United States. The SOMs approach derives a transfer function between large-scale mean atmospheric states and local meteorological variables (daily point precipitation values) of intere...
Abstract Background and Objective: Air pollution can harm humans and the environment. To reduce the effect of these parameters in the emissions of air pollutants known to the local topographical features and climatic conditions are factors. The purpose of this study, monthly and seasonal variations are contaminants and their relationship with meteorological parameters. Methods: the presen...
Estimation of probable maximum precipitation (PMP) is recognized as practical researches in which is taking into consideration by hydrologists in relation to designing the great structures of hydraulic in particular dams. In this study, synoptic method is used in order to estimate probable maximum precipitation in the Ajichai catchment. The meteorological data related from 40 synoptic and clima...
The occurrence of erosive winds in the North West of Iran always causes damage to urban facilities and agricultural fields. By identifying behavior and synoptic patterns of Strong winds, necessary strategies can be chosen to deal with this destructive phenomenon. In this study, the fastest erosive winds and its steadiness coefficient were analyzed in selected stations of North West of Iran. Sui...
introduction numerous studies have demonstrated the relationship between the amount of co2 in the atmosphere and climate change. in this respect, developed countries have an undeniable role and cause serious damage to earth environment throughout the world. ipcc’ forth evaluation report implies that adding greenhouse gases to the atmosphere during recent decades prevents the heat rays to emit w...
Diurnal air temperature modeling is a beneficial experimental and mathematical approach which can be used in many fields related to Geosciences. The modeling and spatio-temporal analysis of air Diurnal Temperature Cycle (DTC) was conducted using data obtained from 105 synoptic stations in Iran during the years 2013-2014 for the first time; the key variable for controlling the cosine term i...
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