Results 71 to 80 of about 7,980 (145)

Stochastic Differential Equations for the Variability of Atmospheric Convection Fluctuating Around the Equilibrium

Journal of Advances in Modeling Earth Systems, 2019
Most convection parameterization schemes used within current atmospheric models make a convective equilibrium assumption, which breaks at the resolutions currently used by many numerical weather prediction models. To account for fluctuations of the cloud
E. Machulskaya, A. Seifert
doaj   +1 more source

Parameterization, statistical measurement and numerical modeling of fluctuated meso/micro-structure of plain woven fabric GFRP laminate for quantification of geometrical variability

Mechanical Engineering Journal, 2017
This paper proposed a stochastic multiscale modeling method by parameterization and quantification of the fluctuated meso/micro-structure of plain woven fabric glass fiber reinforced plastics (GFRP) fabricated by hand layup.
Kohei HAGIWARA, Shintaro ISHIJIMA, Naoki TAKANO, Akio OHTANI, Asami NAKAI   +4 more
doaj   +1 more source

An Update to the Stochastically Perturbed Parameterization Scheme of HarmonEPS

Monthly Weather Review
Abstract High-resolution, limited-area forecasting is strongly affected by errors in the initial atmospheric state, lateral boundary conditions (LBCs), and physical parameterizations used by numerical weather prediction (NWP) models. These errors need to be accounted for through the introduction of uncertainty in an ensemble prediction system (EPS ...
Aristofanis Tsiringakis, Inger-Lise Frogner, Wim de Rooy, Ulf Andrae, Alan Hally, Sebastián Contreras Osorio, Sibbo van der Veen, Jan Barkmeijer   +7 more
openaire   +2 more sources

Infinite-state Stochastic and Parameterized Systems.

, 2008
A major current challenge consists in extending formal methods in order to handle infinite-state systems. Infiniteness stems from the fact that the system operates on unbounded data structure such as stacks, queues, clocks, integers; as well as parameterization.
openaire   +2 more sources

Data‐Driven Probabilistic Air‐Sea Flux Parameterization

Geophysical Research Letters
Accurately quantifying air‐sea fluxes is important for understanding air‐sea interactions and improving coupled weather and climate models. This study introduces a probabilistic framework to represent the highly variable nature of air‐sea fluxes, which ...
Jiarong Wu, Pavel Perezhogin, David John Gagne, Brandon G. Reichl, Aneesh C. Subramanian, Elizabeth J. Thompson, Laure Zanna   +6 more
doaj   +1 more source

Model uncertainties and stochastic parameterizations

, 2012
Seminario del Departamento de Desarrollo y Aplicaciones impartido en la sede central de AEMET el 10 de abril de ...
openaire   +1 more source

A Deep Learning-Enhanced Compartmental Model and Its Application in Modeling Omicron in China

Bioengineering
The mainstream compartmental models require stochastic parameterization to estimate the transmission parameters between compartments, whose calculation depend upon detailed statistics on epidemiological characteristics, which are expensive, economically ...
Qi Deng, Guifang Wang
doaj   +1 more source

Contact angle for theoretical parameterization of immersion freezing rate inferred from the freezing temperature

Terrestrial, Atmospheric and Oceanic Sciences
This study derived contact angles for fifteen types of pollens, nine types of fungi, ten types of bacteria, one type of diatom, and twelve types of mineral dust for use in the parameterization of immersion freezing based on the classical nucleation ...
Jun-Jie Chang, Jen-Ping Chen, Pei-Hsin Liu   +2 more
doaj   +1 more source

Identifying stochastic dynamics from non-sequential data (DyNoSeD). [PDF]

Chaos
Lu Z, Kuśmierz Ł, Mihalas S.
europepmc   +1 more source

Reinforcement learning-based optimal control for stochastic opinion dynamics. [PDF]

Sci Rep
Chen Y, Gao H, Mazalov VV, Liu Y.
europepmc   +1 more source