Accurate weather forecasts play an important role in today's world as various sectors such marine, navigation, agriculture and industry are basically dependent on conditions. Weather also used to predict the occurrence of natural disasters. forecasting determines exact value parameters then predicts future In this study are. Different were collected from Serang Maritime Meteorological Station a...

Air traffic delays in the U.S. are problematic and often attributable to convective (thunderstorms) weather. Air traffic management is complex, dynamic, and influenced by many factors such as projected high volume of departures and uncertain forecast convective weather at airports and in the airspace. To support the complexities of making a re-route decision, which is one solution to mitigate a...

Disease transmission forecasts can help minimize human and domestic animal health risks by indicating where disease control and prevention efforts should be focused. For disease systems in which weather-related variables affect pathogen proliferation, dispersal, or transmission, the potential for disease forecasting exists. We present a seasonal forecast of St. Louis encephalitis virus transmis...

Previento is an operational forecast system which provides a prediction of the expected power output for a time horizon up to 48 hours. It is based on an physical approach with input from a large scale weather prediction model like Lokalmodell of the German Weather Service. In this paper we focus on the forecast of power output of regional distributed wind farms. Due to spatial smoothing effect...

Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to...

The energy consumption of Data Centers (DCs) is a very important figure for the telecommunications operators, not only in terms of cost, but also in terms of operational reliability. A relation between the energy consumption and the weather conditions would indicate that weather forecast models could be used for predicting energy consumption of DCs. A reliable forecast would result in a more ef...

We report on an ongoing effort to build a Dynamic Data Driven Application System (DDDAS) for short-range forecast of weather and wildfire behavior from real-time weather data, images, and sensor streams. The system changes the forecast as new data is received. We encapsulate the model code and apply an ensemble Kalman filter in timespace with a highly parallel implementation. In this paper, we ...

Convective weather is known to reduce airspace capacity, but the extent of the impact is not well understood. Understanding how weather impacts terminal area capacity is essential for quantifying the uncertainty in weather forecast, determining how accurately the weather needs to be forecast, for developing an optimal mitigation strategy. Prior research has focused on the overlap between convec...