Polynomial Chaos Expansion-Based Enhanced Gaussian Process Regression for Wind Velocity Field Estimation from Aircraft-Derived Data

This paper addresses the problem of spatiotemporal wind velocity field estimation for air traffic management applications. Using data obtained from aircraft, the eastward and northward components of the wind velocity field inside a specific air space are calculated as functions of time. Both short-term wind velocity field forecasting and wind...

Wind velocity field estimation from aircraft derived data using Gaussian process regression

Wind velocity field knowledge is crucial for the future air traffic management paradigm and is key in many applications, such as aircraft performance studies. This paper addresses the problem of spatio-temporal windc velocity field estimation. The north and east wind components within a given air space are estimated as a function of time. Both...

On the Estimation of Vector Wind Profiles Using Aircraft-Derived Data and Gaussian Process Regression

This work addresses the problem of vertical wind profile online estimation at a given location. Specifically, the north and east components of the wind are continuously estimated as functions of time and altitude at two waypoints used for landing on the Adolfo Suarez Madrid-Barajas airport. A continuous nowcast of the wind profile is...

Wind Profile Estimation from Aircraft Derived Data Using Kalman Filters and Gaussian Process Regression

Accurate wind information is crucial in air traffic management, for instance, to improve trajectory predictability and precision in controlled time of arrival. Nowadays, air traffic management relies on Numerical Weather Prediction, which usually has a low resolution and low update rate. A potential approach for improving the resolution and...

A benchmark study of the multiscale and homogenization methods for fully implicit multiphase flow simulations

Accurate simulation of multiphase flow in subsurface formations is challenging, as the formations span large length scales (km) with high-resolution heterogeneous properties. To deal with this challenge, different multiscale methods have been developed. Such methods construct coarse-scale systems, based on a given high-resolution fine-scale...

Meta-control and Self-Awareness for the UX-1 Autonomous Underwater Robot

Autonomous underwater robots, such as the UX-1 developed in the UNEXMIN project, need to maintain reliable autonomous operation in hazardous and unknown environments. Because of the lack of any kind of real-time communications with a human operated command and control station, the control architecture needs to be enhanced with mission-level...

The Round Robin Test on Landslide Hydrological Modeling at IWL2013

During the Third Italian Workshop on Landslide, a special session was dedicated to a landslide hydrological modeling competition. The modeling exercise dealt with slopes covered with loose granular pyroclastic deposits typical of Campania (southern Italy). The data provided to the participants for the calibration of their models are described,...

Optical studies of the nematic phase of an oxazole-derived bent-core liquid crystal