scholarly journals Turbulent magnetic-field amplification in the first 10 milliseconds after a binary neutron star merger: Comparing high-resolution and large-eddy simulations

2020 ◽  
Vol 102 (10) ◽  
Author(s):  
Ricard Aguilera-Miret ◽  
Daniele Viganò ◽  
Federico Carrasco ◽  
Borja Miñano ◽  
Carlos Palenzuela
Keyword(s):  
Magnetic Field ◽  
Neutron Star ◽  
High Resolution ◽  
Large Eddy Simulations ◽  
Binary Neutron Star ◽  
Field Amplification ◽  
Large Eddy

scholarly journals Efficient magnetic-field amplification due to the Kelvin-Helmholtz instability in binary neutron star mergers

2015 ◽  
Vol 92 (12) ◽  
Author(s):  
Kenta Kiuchi ◽  
Pablo Cerdá-Durán ◽  
Koutarou Kyutoku ◽  
Yuichiro Sekiguchi ◽  
Masaru Shibata
Keyword(s):  
Magnetic Field ◽  
Neutron Star ◽  
Helmholtz Instability ◽  
Binary Neutron Star ◽  
Field Amplification

Exploring microphysical properties of marine boundary layer clouds through network analysis

2021 ◽  
Author(s):  
Lucile Ricard ◽  
Athanasios Nenes ◽  
Jakob Runge ◽  
Paraskevi Georgakaki
Keyword(s):  
Boundary Layer ◽  
High Resolution ◽  
Network Analysis ◽  
Marine Boundary Layer ◽  
Large Eddy Simulations ◽  
Dynamical Structure ◽  
Boundary Layer Clouds ◽  
Microphysical Properties ◽  
Spatial Coverage ◽  
Large Eddy

<p>Aerosol-cloud interactions remain the largest uncertainty in assessments of anthropogenic climate forcing, while the complexity of these interactions require methods that enable abstractions and simplifications that allow their improved treatment in climate models. Marine boundary layer clouds are an important component of the climate system as their large albedo and spatial coverage strongly affect the planetary radiative balance. High resolution simulations of clouds provide an unprecedented understanding of the structure and behavior of these clouds in the marine atmosphere, but the amount of data is often too large and complex to be useful in climate simulations. Data reduction and inference methods provide a way that to reduce the complexity and dimensionality of datasets generated from high-resolution Large Eddy Simulations.</p><p>In this study we use network analysis, (the δ-Maps method) to study the complex interaction between liquid water, droplet number and vertical velocity in Large Eddy Simulations of Marine Boundary Layer clouds. δ-Maps identifies domains that are spatially contiguous and possibly overlapping and characterizes their connections and temporal interactions. The objective is to better understand microphysical properties of marine boundary layer clouds, and how they are impacted by the variability in aerosols. Here we will capture the dynamical structure of the cloud fields predicted by the MIMICA Large Eddy Simulation (LES) model. The networks inferred from the different simulation fields are compared between them (intra-comparisons) using perturbations in initial conditions and aerosol, using a set of four metrics. The networks are then evaluated for their differences, quantifying how much variability is inherent in the LES simulations versus the robust changes induced by the aerosol fields. </p>

High-Resolution Large-Eddy Simulations of Flow in a Steep Alpine Valley. Part I: Methodology, Verification, and Sensitivity Experiments

2006 ◽  
Vol 45 (1) ◽  
pp. 63-86 ◽  
Author(s):  
Fotini Katopodes Chow ◽  
Andreas P. Weigel ◽  
Robert L. Street ◽  
Mathias W. Rotach ◽  
Ming Xue
Keyword(s):  
Land Use ◽  
Soil Moisture ◽  
High Resolution ◽  
Turbulence Models ◽  
Large Eddy Simulations ◽  
Swiss Alps ◽  
Advanced Regional Prediction System ◽  
Alpine Valley ◽  
Regional Prediction ◽  
Large Eddy

Abstract This paper investigates the steps necessary to achieve accurate simulations of flow over steep, mountainous terrain. Large-eddy simulations of flow in the Riviera Valley in the southern Swiss Alps are performed at horizontal resolutions as fine as 150 m using the Advanced Regional Prediction System. Comparisons are made with surface station and radiosonde measurements from the Mesoscale Alpine Programme (MAP)-Riviera project field campaign of 1999. Excellent agreement between simulations and observations is obtained, but only when high-resolution surface datasets are used and the nested grid configurations are carefully chosen. Simply increasing spatial resolution without incorporating improved surface data gives unsatisfactory results. The sensitivity of the results to initial soil moisture, land use data, grid resolution, topographic shading, and turbulence models is explored. Even with strong thermal forcing, the onset and magnitude of the upvalley winds are highly sensitive to surface processes in areas that are well outside the high-resolution domain. In particular, the soil moisture initialization on the 1-km grid is found to be crucial to the success of the finer-resolution predictions. High-resolution soil moisture and land use data on the 350-m-resolution grid also improve results. The use of topographic shading improves radiation curves during sunrise and sunset, but the effects on the overall flow are limited because of the strong lateral boundary forcing from the 1-km grid where terrain slopes are not well resolved. The influence of the turbulence closure is also limited because of strong lateral forcing and hence limited residence time of air inside the valley and because of the stable stratification, which limits turbulent stress to the lowest few hundred meters near the surface.

scholarly journals TURBULENT MAGNETIC FIELD AMPLIFICATION FROM SPIRAL SASI MODES: IMPLICATIONS FOR CORE-COLLAPSE SUPERNOVAE AND PROTO-NEUTRON STAR MAGNETIZATION

2012 ◽  
Vol 751 (1) ◽  
pp. 26 ◽  
Author(s):  
Eirik Endeve ◽  
Christian Y. Cardall ◽  
Reuben D. Budiardja ◽  
Samuel W. Beck ◽  
Alborz Bejnood ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Neutron Star ◽  
Core Collapse ◽  
Field Amplification ◽  
Proto Neutron Star

High-resolution large eddy simulations of cavitating gasoline–ethanol blends

2013 ◽  
Vol 14 (6) ◽  
pp. 578-589 ◽  
Author(s):  
Daniel J Duke ◽  
David P Schmidt ◽  
Kshitij Neroorkar ◽  
Alan L Kastengren ◽  
Christopher F Powell
Keyword(s):  
High Resolution ◽  
Large Eddy Simulations ◽  
Large Eddy ◽  
Ethanol Blends
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