the geographical distribution of growing degree-days (gdds) within iran was studied using gis-based maps. gdds were calculated using daily thermal parameters (daily maximum and minimum air temperature). based on the purpose of the study and climatic conditions of iran, the average value of 5?c was chosen for gdd calculation. the calculations were carried out using daily weather data of 113 mete...

evaporation phenomena is a effective climate component on water resources management and has special importance in agriculture. in this paper, bayesian belief networks (bbns) as a non-linear modeling technique provide an evaporation estimation  method under uncertainty. as a case study, we estimated the surface water evaporation of the persian gulf and worked with a dataset of observations (dai...

Recently, there has been an increased interest in quantifying and modeling the impact of inclement weather on transportation system performance. One problem that the majority of previous research studies on the topic have faced is that they largely depended on weather data merely from atmospheric weather stations, which lacked information about road surface condition. The emergence of social me...

one of the major issues of increasing agricultural production, is adaptation of technology to specific climatic variables in cultivated areas. knowing the weather and climatic condition and periodic yearly and multi-year changes of meteorological phenomena and deviations from normal values ​​are of major requirements of modern agriculture. in this study, daily, monthly and annual weather data o...

[1] Scales of temporal and spatial variability of clear‐sky land surface temperature (LST) in middle latitudes are empirically evaluated using data from satellite and land surface observations. We consider separately the time‐dependent expected value, its spatial variations, weather‐related temporal and spatial anomalies, and errors of LST observation. Seasonal and diurnal cycles in the time‐de...

This paper presents a solar energy prediction method using artificial neural networks (ANNs). An ANN predicts a clearness index that is used to calculate global solar irradiation. The ANN model is based on the feed forward multilayer perception model with four inputs and one output. The inputs are latitude, longitude, day number and sunshine ratio; the output is the clearness index. Data from 2...

The three typical extreme weather of fog, haze and dust storm have occurred frequently in recent years in 10 China. These events influence the transportation, the ecological environment, and the daily lives of people. Remote sensing is very important technology that can be used to monitor them due to its high temporal resolution and wide area of coverage. But because the spectral features of th...

abstract solar radiation (rs) has many applications in most sciences such as agriculture and irrigation however, its measurement has been done in few weather stations of iran. therefore, estimation methods were used. in this study, weather data of rasht station, from 2004 to 2006 were employed for calibration of some equations, and weather data of years 2007 and 2008 were used for evaluating th...

Static geosensor networks are comprised of stations with sensor devices providing data relevant for monitoring environmental phenomena in their geographic perimeter. Although early warning systems for disaster management rely on data retrieved from these networks, some limitations exist, largely in terms of insufficient coverage and low density. Crowdsourcing user-generated data is emerging as ...

Given the uneven distribution of sounding and automatic weather stations throughout the Fujian province of China, a method for the extension of meteorological elements from point data to a three dimensional field is proposed, which can be used for hail detection and other weather forecasts. Considering the temperature and air pressure as the classic meteorological elements, these are extended t...