Many large-scale weather forecast models prescribes too much turbulent mixing stably stratified conditions, which causes problems with the depth of nocturnal or high-latitude winter boundary layers, lack of inertially driven low-level wind maxima and inversion-capped low clouds. The link between the turbulent momentum flux and the associated Ekman pumping and therefore the lifetime of synoptics...

Numerous National Weather Service (NWS) Weather Forecast Office (WFO) local studies (Amburn and Wolf 1997, Billet et al 1997, Blaes et al 1998, Hart and Frantz 1998, Lenning et al 1998, Roeseler and Wood 1997, Troutman and Rose 1997, Turner and Gonsowski 1997) and national studies (Edwards and Thompson 1998, Witt et al 1998, Witt 2002) looked at the relationship between various conventional rad...

Weather nowcasting is a meteorological forecast which alerts civil protection institutions in case of heavy rain events, tornadoes, fires or heat waves and so on. This technique needs to process different data in a very short time. This paper, critically describes the design process of a computational infrastructure for weather nowcasting using both web and Grid technologies as a suitable solut...

Multiple Doppler radar analysis has been widely used to retrieve three-dimensional wind fields within thunderstorms and meso-scale convective systems (MCS) since the late 1960s. A number of countries have constructed dense operational radar networks, such as the Operational Programme for the Exchange of Weather Radar Information (OPERA; Köck et al., 2000), to monitor and forecast severe weather...

Evolutionary training methods for Artificial Neural Networks can escape local minima. Thus, they are useful to train recurrent neural networks for short-term weather forecasting. However, these algorithms are not guaranteed to converge fast or even converge at all due to their stochastic nature. In this paper, we present an algorithm that uses implicit gradient information and is able to train ...

For the local TV presentation of weather forecast data it is important to have high-quality and fast visualisation of clouds. In this paper we present surface-based methods for the high performance visualisation of clouds from data produced by a routine meteorological weather simulation. Isosurfaces, which are originally too coarse because of the data grid resolution are refined and deformed. T...

We present a generalisation of the double long memory ARFIMA-FIGARCH model introducing time-varying memory coefficients both in the mean and in the variance. The model satisfies the empirical evidence of changing memory observed in average temperature series and can provide useful improvements in the forecasting, simulation and pricing issues related to weather derivatives. We provide an applic...

The land surface model developed by Viterbo and Beljaars (VB95) is used in the numerical weather prediction and climate models of the Australian Bureau of Meteorology. At present the operational weather forecasting system routinely simulates runoff for each grid cell. While these simulations potentially have value for various applications, the ability of the land surface model and forecast syst...