A method for modelling the evolution of multiple flights from the point of view of an air traffic controller is developed. The model is multi-agent, hybrid and stochastic. It consists of many instances of flights, each with different aircraft dynamics, flight plan and flight management system. The motions of different flights are coupled through the effect of the wind, which is modelled as a ra...

The rapidly increasing wind power penetration presents new challenges to the operation of systems. Improving accuracy forecasting is a possible solution under this circumstance. In multiple farms, determining spatio-temporal correlation farms critical for improving accuracy. This paper proposes convolutional network (STCN) that utilizes directed graph structure. A temporal also adopted characte...

Abstract The wind field over an urban lake may exhibit considerable variability due to shielding effects from surrounding structures. Field measurements at reservoir in Singapore were augmented by computational fluid dynamics (CFD) model results develop a the surface via data assimilation approach. identified, depending on structure alignment with prevailing direction, that impacted direction a...

Photoelectron emission microscopy (PEEM) is a powerful tool to spectroscopically image dynamic surface processes at the nanoscale, but it is traditionally limited to ultrahigh or moderate vacuum conditions. Here, we develop a novel graphene-capped multichannel array sample platform that extends the capabilities of photoelectron spectromicroscopy to routine liquid and atmospheric pressure studie...

The seasonal and interannual variability of vertical transport (upwelling/downwelling) has been relatively well studied, mainly for the California Current System, including low-frequency changes and latitudinal heterogeneity. The aim of this work was to identify potentially predictable patterns in upwelling/downwelling activity along the North American west coast and discuss their plausible mec...

Experimental studies of CO oxidation on Pt(100) over two different ranges of reactant pressures will be reviewed. Using photoemission electron microscopy (PEEM), spatio-temporal pattern formation was observed at temperatures between 420 and 540 K in the 10(-5) mbar pressure range. In an attempt to bridge the "pressure-gap," ellipsomicroscopy for surface imaging was used to follow pattern format...

One challenge in Earth science research is the accurate and efficient ad-hoc query and retrieval of Earth science satellite sensor data based on user-defined criteria to study and analyze atmospheric events such as tropical cyclones. The problem can be formulated as a spatiotemporal join query to identify the spatio-temporal location where moving sensor objects and dynamic atmospheric event obj...

The superstatistics concept is a useful statistical method to describe inhomogeneous complex systems for which a system parameter β fluctuates on a large spatio-temporal scale. In this paper we analyze a measured time series of wind speed fluctuations and extract the superstatistical distribution function f(β) directly from the data. We construct suitable Langevin and Fokker-Planck models with ...