In this paper, we describe SUMTIME-METEO, a parallel corpus of naturally occurring weather forecast texts and their corresponding forecast data; data that the human authors inspected while writing the forecast texts. We have analysed the corpus to acquire knowledge needed to build a text generator for automatically producing textual weather forecasts from numerical weather prediction data. Alth...

We establish an on-line optimization framework to exploit weather forecast information in the operation of energy systems. We argue that anticipating the weather conditions can lead to more proactive and cost-effective operations. The framework is based on the solution of a stochastic dynamic real-time optimization (D-RTO) problem incorporating forecasts generated from a state-of-the-art weathe...

This paper presents a detailed study of a convective weather event affecting the northeastern United States on 19 April 2002: its impacts on departure throughput, the response of traffic managers and an analysis of the potential effects of decision support on system performance. We compare actual departure throughput to what may have been achieved using the Route Availability Planning Tool (RAP...

Meteorological forecasts of incident solar radiation are valuable for solar resource owners and others. Most previously described forecast methods provide a single predicted value. However, a well-calibrated forecast probability distribution is more useful in that it could be used to make optimum decisions under any decision rule. We demonstrate methods of constructing and evaluating probabilis...

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...

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...

To make optimal decisions, end-users of decision support systems require information accurately describing the uncertainty of the underlying weather forecasts. Air temperature, dew point temperature, and wind speed are critical surface weather variables in many economic sectors. The generation of sharp and calibrated probabilistic forecasts and their effective presentation to decision makers ar...

The spatial resolution of publicly available numerical weather forecasts is largely limited by the computing resources of the originating weather services. Only selected parameters are available to the public from many weather services. We present a scalable system for distributed computation of high resolution symbiotic numerical weather forecasts. Each forecast is computed on the user’s deskt...