This study investigates dynamically different data-driven methods, specifically a statistical downscaling model (SDSM), a time lagged feedforward neural network (TLFN), and an evolutionary polynomial regression (EPR) technique for downscaling numerical weather ensemble forecasts generated by a medium range forecast (MRF) model. 5 Given the coarse resolution (about 200-km grid spacing) of the MR...

climate change is a phenomenon that has made the most concern in communities and decision making centers. this phenomenon has important effects on different aspects of human life. one of the most important crops that are affected by climate change is wheat. accordingly, data and information of northern khorasan have been used to study the effects of climate change on rain-fed wheat yield. for t...

Abstract Background and purpose:Climate change has an important role on the health and productivity of the occupant of the building. The objective of this study is to estimate the effects of climate change on thermal comfort in hot and wet areas, as in the case of the city of Douala. Materials and Methods:The general circulation model (CSMK3 Model, Scenario B1) was adopted for this purpose.Outd...

We develop a statistical model using extreme value theory to estimate the 2000-2050 changes in ozone episodes across the United States. We model the relationships between daily maximum temperature (Tmax) and maximum daily 8-hour average (MDA8) ozone in May-September over 2003-2012 using a Point Process (PP) model. At ~20% of the sites, a marked decrease in the ozone-temperature slope occurs at ...

Stochastic weather generators are used in different studies which often require long series of daily weather data for risk assessment. They can produce synthetic daily time series of any length. Any generator should be tested to ensure that the synthetic data is proper for the purposes for which it is to be used. The main objective of this paper is to test a stochastic weather generator, LARS-W...

As an important part of power system planning and the basis of economic operation of power systems, the main work of power load forecasting is to predict the time distribution and spatial distribution of future power loads. The accuracy of load forecasting will directly influence the reliability of the power system. In this paper, a novel short-term Empirical Mode Decomposition-Grey Relational ...

a sensitivity analysis of the flood safety of solaimantangeh dam using a regional climate change simulation is presented. based on the output of the ccsm (community climate change system model) general circulation model, the nircm (north of iran regional climate model) computes regional scale output with 50 km spatial resolution and 21 vertical layers. using the sres (special report emission sc...

Although the EPIC model has been widely used in agricultural and environmental studies, applications of this model may be limited in the regions where daily weather data are not available. In this paper, a stand-alone MODAWEC model was developed to generate daily precipitation and maximum and minimum temperature frommonthly precipitation, maximum and minimum temperature, and wet days. A case st...