We present a new method of reducing the error in predicted wind speed, thus enabling better management of wind energyfacilities. A numerical weather prediction model, COSMO, was used to produce 48 h forecast data every day in 2008 athorizontal resolutions of 10 and 3 km. A new adaptive...

This paper presents a method and computational technology for forecasting ambulance trips. We used statistical information about the number of the trips in 2009-2013, the meteorological archive, and the corresponding archive of the meteorological forecasts for the same period. We take into...

Seven adaptive approaches to post-processing wind speed forecasts are discussed and compared. 48-hour forecasts are run at horizontal resolutions of 7 km and 3 km for a domain centred over Ireland. Forecast wind speeds over a two year period are compared to observed wind speeds at seven synoptic...

In the southern Great Plains of the United States, winter wheat is a dual purpose crop that produces forage for livestock grazing in the fall and winter, and a grain crop in the spring. Seasonal and interannual climate variations are pronounced and make it difficult to anticipate forage...

Quantifying uncertainty in flood forecasting is a difficult task, given the multiple and strongly nonlinearmodel components involved in such a system. Much effort has been and is being invested inthe quest of dealing with uncertain precipitation observations and forecasts and the propagation...

In usual pricing approaches for weather derivatives, forward-looking information such as meteorological weather forecasts is not considered. Thus, important knowledge used by market participants is ignored in theory. By extending a standard model for the daily temperature, this paper allows the...