This paper presents a computationally efficient approach to evaluate multidimensional expectation integrals. Specifically, certain nonproduct cubature points are constructed that …
KN Kyzyurova, JO Berger, RL Wolpert - SIAM/ASA Journal on Uncertainty …, 2018 - SIAM
Direct coupling of computer models is often difficult for computational and logistical reasons. We propose coupling computer models by linking independently developed Gaussian …
Operational forecasting of volcanic ash and SO2 clouds is challenging due to the large uncertainties that typically exist on the eruption source term and the mass removal …
Modeling can play a critical role in assessing and mitigating risks posed by natural hazards. Uncertainties surrounding the modeling process can have important implications for the …
K Vishwajeet, P Singla - Journal of Guidance, Control, and Dynamics, 2018 - arc.aiaa.org
This paper presents an adaptive splitting and merging scheme for dynamic selection of Gaussian kernels in a Gaussian mixture model. The Gaussian kernel in the Gaussian …
Due to the remote location of many volcanoes, there is substantial uncertainty about the timing, amount and vertical distribution of volcanic ash released when they erupt. One …
Abstract Mount Etna, in Italy, is one of the most active volcanoes in the world and an ideal laboratory to improve volcano ash monitoring and forecasting. During the volcanic episode …
A large volcanic eruption can generate large amounts of ash which affect the socio- economic activities of surrounding areas, affecting airline transportation, socio-economics …
The motion of a neutrally buoyant circular particle in a clockwise double-lid-driven square cavity is studied with the lattice Boltzmann method. To understand, predict, and control the …