on a roll. In its relatively short lifetime, it has transformed the way society thinks about weather and climate. At the beginning of the twentieth century, most people assumed that the assimilative capacity of the atmosphere was infi nite, climate was relatively constant, and most weather events were unpredictable. Today, thanks in large part to meteorological research, most educated people kn...

The main aim of this paper is to overcome the drawbacks of LIDAR which are non-linearity in climatic physics based on statistical modeling and evaluation. However, modeling is shown to be a successful method to forecast weather parameters by using different types of Soft Computing Techniques such as Neural Networks, Fuzzy Logic and Probability Theory which are suitable to these meteorological p...

Weather is one of the major causes of general aviation accidents. Researchers are addressing this problem from various perspectives including improving meteorological forecasting techniques, collecting additional weather data automatically via on-board sensors and "flight" modems, and improving weather data dissemination and presentation. We approach the problem from the improved presentation p...

In order to provide an uncertainty estimate for short-term wind power predictions the accuracy of the underlying wind speed prediction is assessed quantitatively for different meteorological situations. With methods from synoptic climatology an automatic classification scheme is implemented using measurements of wind speed, wind direction and pressure at mean sea level to characterize the local...

Multilayered feed forward neural networks possess a number of properties which make them particularly suited to complex problems. Neural networks have been in use in numerous meteorological applications including weather forecasting. As Neural Networks are being more and more widely used in recent years, the need for their more formal definition becomes increasingly apparent. This paper present...

The need for reliable predictions in environmental modelling is well-known. Particularly, the predicted weather and meteorological information about the future atmospheric state is crucial and necessary for almost all other areas of environmental modelling. Additionally, right decisions to prevent damages and save lives could be taken depending on a reliable meteorological prediction process. L...

Having reliable water monitoring networks is an essential component of water resources and environmental management. A standardized process for the design of water monitoring networks does not exist with the exception of the World Meteorological Organization (WMO) general guidelines about the minimum network density. While one of the major challenges in the design of optimal hydrometric network...