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364 results for “Convection”
Modules for Experiments in Stellar Astrophysics (MESA): Time-Dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure
<p>We update the capabilities of the open-knowledge software instrument Modules for Experiments in Stellar Astrophysics (MESA). The new auto_diff module implements automatic differentiation in MESA, an enabling capability that alleviates the need for hard-coded analytic expressions or finite difference approximations. We significantly enhance the treatment of the growth and decay of convection in MESA with a new model for time-dependent convection, which is particularly important during late-stage nuclear burning in massive stars and electron degenerate ignition events. We strengthen MESA's implementation of the equation of state, and we quantify continued improvements to energy accounting and solver accuracy through a discussion of different energy equation features and enhancements. To improve the modeling of stars in MESA we describe key updates to the treatment of stellar atmospheres, molecular opacities, Compton opacities, conductive opacities, element diffusion coefficients, and nuclear reaction rates. We introduce treatments of starspots, an important consideration for low-mass stars, and modifications for superadiabatic convection in radiation-dominated regions. We describe new approaches for increasing the efficiency of calculating monochromatic opacities and radiative levitation, and for increasing the efficiency of evolving the late stages of massive stars with a new operator split nuclear burning mode. We close by discussing major updates to MESA's software infrastructure that enhance source code development and community engagement.</p>
Postprocessed data for "Tracing the rain formation pathways in numerical simulations of deep convection"
<p>This dataset is associated with the journal paper "Tracing the rain formation pathways in numerical simulations of deep convection".</p> <p>There are six .npz files containing data for the 5 simulations (CTRL, CTRLrfix, K13, CTRL800, K13800)<br> and one npz file containing data for constructing the rain pdfs of simulation CTRL (Figure 6).</p> <p>This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52‐07NA27344 IM Release number LLNL-MI-843623</p>
Dataset for "Optimization and Evaluation of Stochastic Unified Convection Using Single-Column Model Simulations at Multiple Observation Sites"
<p>SCAM5 and LES outputs from "Optimization and Evaluation of Stochastic Unified Convection Using Single-Column Model Simulations at Multiple Observation Sites". Includes simulation outputs of stochastic UNICON and original UNICON. The LES intercomparison data of DYCOMSRF01 is available at https://gcss-dime.giss.nasa.gov/pub/DYCOMS-II/GCSS7-RF01/gcss7.nc, and the data of CGILS is available at http://www.atmos.washington.edu/~bloss/CGILS2data.tar.</p>
Dataset of "Divergent convective outflow in large eddy simulations "
<p>See README.txt</p> <p>See download_all_simulations.sh</p>
Data for "Turbulent drag at the ice-ocean interface of Europa in simulations of rotating convection: Implications for nonsynchronous rotation of the ice shell"
<p>Data files and python Jupyter notebook to reproduce Figures 2 - 6 from the manuscript "Turbulent drag at the ice-ocean interface of Europa in simulations of rotating convection: Implications for nonsynchronous rotation of the ice shell".</p> <p>Contents:</p> <p>Package</p> <p>--EuropaOceanTorque.ipynb - Jupyter Notebook to load and analyse data. Reproduces figures 1-2 from the manuscript.<br> --cs510 - Grid info files<br> --mitgcm_vis - plotting and interpolation functions<br> --Results - directory for all data files<br> --Setup<br> ----runx - input files for running MITgcm<br> ----code - mods for compiling the MITgcm</p>
Air parcel trajectories dataset based on modeling of 16 deep convective clouds in the Amazon.
<p>The dataset contains trajectories of 16 deep convective cloud air parcels simulated with MIMICA code based on soundings retrieved over Manaus (Latitude: -3.1, Longitude: -60.0) during the wet season from April 1 until April 14, 2020 at 00 and 12 UTC.</p> <p> </p> <p>Parcel data contains values for coordinate (X, Y, Z), velocity components (U, V, W), potential temperature (PTIL), total water content (QT), water vapor (QV), condensate density (QC), precipitation density (QR), net precipitation change (QR_FLUX), relative humidity (RH), buoyancy (BUOY), temperature (T), pressure (P), resolved TKE (KRES), SGS TKE (SGS_TKE), turbulent diffusion (TDIFF) are provided for each parcel at every time step of the simulation.</p>
Data for Spaulding-Astudillo and Mitchell (2023), "Effects of varying saturation vapor pressure on climate, clouds, and convection"
<p>Data for Spaulding-Astudillo and Mitchell (2023), "Effects of varying saturation vapor pressure on climate, clouds, and convection"</p> <p>The main directories have a common nomenclature: e.g., TEST_1360_FSC_288K_1p0, where 1360 is the insolation, FSC indicates that it is a full-sky radiation run, 288 K is the initial surface temperature, and the multiplicative factor on the saturation vapor pressure of water is 1p0, meaning 1.0. </p> <p>In every directory, each .nc file contains 5 years of model output. There are 5 types of .nc files, which correspond to different output streams of ECHAM6. The main output stream is ..._echam.nc.</p>
Rayleigh Inlists and Checkpoints for Effects of Full Sphere Convection On M-Dwarf Dynamo Action, Flux Emergence, and Spin-Down
<p>Input files, checkpoints, and summary data for the three primary Rayleigh global convection simulations highlighted in Bice & Toomre 2023b, <em>Effects of Full Sphere Convection On M-Dwarf Dynamo Action, Flux Emergence, and Spin-Down</em>. </p>
Deep convection induce strong proto-Antarctic Circumpolar Current
<p>This dataset includes model outputs of a high-resolution model with realistic late Eocene topography, which is applied to test the sensitivity of the proto-ACC to late Eocene and modern surface buoyancy forcing. The included data can be used to analyse temperature, salinity, zonal velocity distribution, eddy kinetic energy, and mixed layer depth in late Eocene Southern Ocean.</p>
A Deep Learning Approach to Afternoon Convection Prediction Using Heterogeneous Weather Data: Taking the Important Areas in Taiwan as an Example
<p>The following partial dataset is provided by the authors for the Afternoon Convection Prediction method presented in the paper.</p> <p>afternoon_rainfall_label is labeled as afternoon convection data</p> <p>weather_image is weather images</p>
MESA input and software files for: 'The imprint of convection on Type I X-ray bursts: Pauses in photospheric radius expansion lightcurves'
<p>Inlists, input models, and other machinery needed to reproduce results in "The imprint of convection on Type I X-ray bursts: Pauses in photospheric radius expansion lightcurves". Includes data files (profiles and histories, and also some movies) for the main "Schwarzschild" run.</p> <p>MESA version: 15140</p> <p>See the README.md for instructions on how to run.</p> <p> </p>
Modeling the effect of free convection on permafrost melting-rates in frozen rock-clefts
<p>These animations show the results of numerical simulation of ice fracture during melting process with two scenarios: one with considering free convection in water and the other without free convection (just based on purely conduction model).</p>
Convection-Enhanced Delivery of 124I-Omburtamab for Patients With Non-Progressive Diffuse Pontine Gliomas Previously Treated With External Beam Radiation Therapy
ClinicalTrials.gov study NCT01502917. IPD Sharing: Not stated. Countries: 1. Publications: 6.
An Open Label Dose Escalation Safety Study of Convection-Enhanced Delivery of IL13-PE38QQR in Patients With Progressive Pediatric Diffuse Infiltrating Brainstem Glioma and Supratentorial High-grade Gl
ClinicalTrials.gov study NCT00880061. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Chronic Convection Enhanced Delivery of Topotecan
ClinicalTrials.gov study NCT03154996. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Topotecan Using Convection-Enhanced Delivery (CED) in High Grade Glioma
ClinicalTrials.gov study NCT02278510. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effects of Convective Therapies in Dialysis Patients
ClinicalTrials.gov study NCT01583309. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Can High Convection Volumes be Achieved in Each Patient During Online Post-dilution Hemodiafiltration?
ClinicalTrials.gov study NCT01877499. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Effect of Increased Convective Clearance by On-Line Hemodiafiltration on All Cause Mortality in Chronic Hemodialysis Patients
ClinicalTrials.gov study NCT00205556. IPD Sharing: Not stated. Countries: 3. Publications: 21.
Progress toward forecasting excessive rainfall with random forests based on a deterministic convection-allowing model
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