The first Chinese operational Ku-band scatterometer on board Haiyang-2A (HY-2A), launched in August 2011, is designed for monitoring the global ocean surface wind. This study estimates the quality of the near-real-time (NRT) retrieval wind speed and wind direction from the HY-2A scatterometer for 36 months from 2012 to 2014. We employed three types of sea-surface wind data from oceanic moored b...

wind erosion climatic factor is a measure of climatic factors explaining the wind erosion erosivity. humidity and wind speed are climatic characteristics that must be considered as the erosion parameters. in this study, linear moment analysis (l-moments) and wind erosion climatic factor were used to evaluate the regional climate’s tendency effect on wind erosion in yazd province. wind erosion c...

Successful integration of renewable energy sources like wind power into smart grids largely depends on accurate prediction of power from these intermittent sources. Production of wind power cannot be controlled as the wind speed can vary based on weather conditions. Accurate prediction of wind power can assist smart grid that intelligently decides on the usage of alternative power sources based...

Exponential increase in power consumption leads to the global attention towards pollution free and renewable energy resources. For instance, wind turbines to produce electrical energy thru wind energy. For wind energy domain, wind speed forecasting is of great significance for wind farms design and planning, its operational control, and wind power prediction etc. Due to the impact of several en...

numerous studies yet have been carried out on downscaling of the large-scale climate data usingboth dynamical and statistical methods to investigate the hydrological and meteorological impacts of climatechange on different parts of the world. this study was also conducted to investigate the capability of feedforwardneural network with error back-propagation algorithm to downscale the provincial...

This paper develops and evaluates a wind speed prediction model for Jeju area based on artificial neural networks, aiming at providing an accurate estimation of wind power generation to the smart grid system. For the history data accumulated for 10 years, the monthly speed change is modeled mainly to find the seasonal effect on tracing and resultant error patterns. A 3-layer model experimentall...