Simplifications used in regional climate models decrease the accuracy of the regional climate models. To overcome this deficiency, usually a statistical technique of MOS is used to improve the skill of gridded outputs of the Numerical Weather Prediction (NWP) models. In this paper, an experimental synoptic-climatology based method has been used to calibrate, and decrease amount of errors in GFS...

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...

In the transportation literature in general and the travel behaviour literature specifically, there is no consensus on the representation of weather in behavioural models, ranging from studies that use direct meteorological measurements, such a continuous variable for inches of rainfall or temperature, to indicator variables (which themselves are often subjectively derived) for qualitative weat...

Climate change is expected to aggravate feed and food safety problems of crops; however, quantitative estimates are scarce. This study aimed to estimate impacts of climate change effects on deoxynivalenol contamination of wheat and maize grown in the Netherlands by 2040. Quantitative modelling was applied, considering both direct effects of changing climate on toxin contamination and indirect e...

The Weather is a continuous, data-intensive, multidimensional, dynamic process that makes weather forecasting a formidable challenge. Weather forecasting involves predicting how the present state of the atmosphere will change. Climate is the long-term effect of the sun's radiation on the rotating earth's varied surface and atmosphere. The Day-byday variations in a given area constitute the weat...

Suspended particles have deleterious effects on human health and one of the reasons why Tehran is effected is its geographically location of air pollution. One of the most important ways to reduce air pollution is to predict the concentration of pollutants. This paper proposed a hybrid method to predict the air pollution in Tehran based on particulate matter less than 10 microns (PM10), and the...

Climate change has caused significant alterations in crop cultivation patterns and affected suitability as well its production. In this study, we investigated the changes climate of spring maize Inner Mongolia from 1959 to 2018. We used daily meteorological data 50 weather stations growth period nine agrometeorological stations. addition, quantitative interdecadal relationship between regions c...

Weather has a significant impact on crop growth and development. This paper presents an overview of crop modeling and applications of crop models, and the significance of weather related to these applications. To account for the impact of weather and climate variability on crop production, agrometeorological variables are one of the key inputs required for the operation of crop simulation model...