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6 results for “Phase equilibrium”
Source Data - Ilzhofer et al. - Phase coherence in out-of-equilibrium supersolid states of ultracold dipolar atoms
<p>Source data for following publication:</p> <p>"Phase coherence in out-of-equilibrium supersolid states of ultracold dipolar atoms" (2019)</p> <p>P. Ilzhofer and M. Sohmen and G. Durastante and Claudia Politi and A. Trautmann and G. Morpurgo and T. Giamarchi and L. Chomaz and M. Mark and F. Ferlaino</p> <p>Institut f ̈ur Quantenoptik und Quanteninformation, ̈Osterreichische Akademie der Wissenschaften, 6020 Innsbruck, Austria</p> <p>Institut f ̈ur Experimentalphysik und Zentrum f ̈ur Quantenoptik,Universit ̈at Innsbruck, Technikerstraße 25, 6020 Innsbruck, Austria</p> <p>DQMP, University of Geneva, 24 Quai Ernest-Ansermet, CH-1211 Geneva, Switzerland</p>
Code and data for RCEMIP-II: Mock-Walker Simulations as Phase II of the Radiative-Convective Equilibrium Model Intercomparison Project
<p>Model configuration code and post-processed data for simulations with SAM6.11.2 (Khairoutdinov and Randall, 2003) and CAM6 (https://github.com/ESCOMP/CESM/releases/tag/release-cesm2.1.3) needed to reproduce figures in the protocol paper for RCEMIP-II (Wing et al., 2023):</p> <p>Wing, A. A., Silvers, L. G., and Reed, K. A.: RCEMIP-II: Mock-Walker Simulations as Phase II of the Radiative-Convective Equilibrium Model Intercomparison Project, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2023-235, in review, 2023.</p> <p>SAM6.11.2 data (SAM6.11.2-lambda6000.zip and SAM6.11.2-lambda6144.zip):</p> <ul> <li>lambda6000: simulations with wavelength 6000 km</li> <li>lambda6144: simulations with wavelength 6144 km</li> <li>Each simulation, for a given mean SST ($SST) and delta SST ($dT) has the following data files <ul> <li>crh_avg_$SST_$dT.mat: column relative humidity averaged over the short (y) dimension, as a function of x and time.</li> <li>mockwalker2048x128x74_3km_12s_$SST_$dT.nc: domain-averaged 0D (function of t) and 1D (function of z and t) data <ul> <li>The "long" simulations, which have a domain that is twice as long as normal, instead have files with names mockwalker4096x128x74_3km_12s_$SST_$dT.nc</li> <li>The "wide" simulations, which have a domain that is twice as wide as normal, instead have files with names mockwalker2048x256x74_3km_12s_$SST_$dT.nc</li> <li>The "longwide" simulations, which have a domain that is twice as long and twice as wide as normal, instead have files with names mockwalker4096x256x74_3km_12s_$SST_$dT.nc</li> </ul> </li> <li>SAM_CRM_MW_$SST_$dT_1D_cldfrac_avg.nc: domain cloud fraction profile (function of z and t) following cfv2 definition of Stauffer and Wing (2022)</li> </ul> </li> </ul> <p>SAM6.11.2 configuration files (SAM6.11.2-lambda6000-config.zip and SAM6.11.2-lambda6144.zip):</p> <ul> <li>lambda6000: simulations with wavelength 6000 km</li> <li>lambda6144: simulations with wavelength 6144 km</li> <li>Each simulation, for a given mean SST and delta SST has the following configuration files <ul> <li>snd: Initial sounding</li> <li>prm: Namelist parameters</li> <li>grd: Vertical grid</li> <li>domain.f90: Domain size and number of subdomains</li> <li>simpleocean.f90: SST specification</li> </ul> </li> </ul> <p>CAM6 data (CAM6.zip):</p> <ul> <li>Each simulation, for a given mean SST ($SST) and delta SST ($dT) has the following data files <ul> <li>MockWalk54_humidity_HCF_$dT_$SST.nc: column relative humidity averaged over 4 longitude points, as a function of latitude and time.</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_0D_rlut_avg.nc: domain-averaged longwave flux at the top of the atmosphere</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_0D_rsut_avg.nc: domain-averaged upwelling shortwave flux at the top of the atmosphere</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_0D_rsdt_avg.nc: domain-averaged downwelling shortwave flux at the top of the atmosphere</li> <li>CAM6_MockW_$dT_cos_$SST_3_yr_HCF_1D_cldfrac_avg.nc: domain-averaged cloud fraction profile (function of z and t)</li> </ul> </li> </ul> <p>CAM6 configuration files (CAM6-MW295dT1p25-config.tar, CAM6-MW300dT1p25-config.tar, CAM6-MW305dT1p25-config.tar): Contains model initialization and configuration files for simulations with delta SST = 1.25 K. Simulations with other delta SST values need only change the delta SST parameter. </p>
Depressurization of CO2 in a pipe: Effect of initial state on non-equilibrium two-phase flow – dataset
<p>This dataset contains data from depressurization of pure CO<sub>2</sub> in a tube from a dense-liquid state. The data are described in the accompanying paper (DOI: <a href="https://doi.org/10.1016/j.ijmultiphaseflow.2023.104624">10.1016/j.ijmultiphaseflow.2023.104624</a>).</p> <p>Test number; fluid; pressure (MPa); temperature (deg C):<br> 19; CO2; 12.47; 10.2<br> 22; CO2; 12.48; 14.9<br> 23; CO2; 12.19; 31.5<br> 24; CO2; 11.56; 35.8<br> </p> <p> </p>
Data from: Equilibrium and non-equilibrium phases in the radiation of Hakea and the drivers of diversity in Mediterranean-Type Ecosystems
Mediterranean-Type ecosystems (MTEs) contain exceptional plant diversity. Explanations for this diversity are usually classed as either "equilibrium", with elevated MTE diversity resulting from greater ecological carrying capacities, or "non-equilibrium", with MTEs having a greater accumulation of diversity over time. These models have typically been considered as mutually exclusive. Here we present a trait-based explanatory framework that incorporates both equilibrium and non-equilibrium dynamics. Using a large continental Australian plant radiation (Hakea) as a case study, we identify traits associated with niche partitioning in co-occurring species (α traits) and with environmental filtering (β traits), and reconstruct the mode and relative timing of diversification of these traits. Our results point to a radiation with an early, non-equilibrium phase marked by divergence of β traits as Hakea diversified exponentially and expanded from the southwest Australian MTE into biomes across the Australian continent. This was followed from 7Mya by an equilibrium phase, marked by diversification of α traits and a slowdown in lineage diversification as the MTE niches became saturated. These results suggest that processes consistent with both equilibrium and non-equilibrium models have been important during different stages of the radiation of Hakea, and together they provide a richer explanation of present-day diversity patterns.
Data from: Equilibrium and non-equilibrium phases in the radiation of Hakea and the drivers of diversity in Mediterranean-Type Ecosystems
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Equilibrium geometry configurations of DMMI and DMHI chromophores in gas phase and microsolvation models
<p>Gas phase and microsolvation models are marked as "gas" and "solv" in the file names.</p> <p>Cis- and trans-enol formes are marked as "CIS" and "TRANS", respectively; keto form has "KETO" in the file name.</p>
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