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34 results for “Advection”
Cold and warm temperature advection mask for the Antarctic Circumnavigation Expedition from December 2016 – March 2017.
<p><strong>Dataset abstract</strong></p> <p>This dataset contains a mask for the identification of cold and warm temperature advection along the Antarctic Circumnavigation Expedition (ACE) track based on a simple method using the difference between the sea surface and air temperature. This mask is a combination of measured air temperature and sea surface temperature during ACE.</p> <p><strong>Dataset contents</strong></p> <ul> <li>coldwarm_mask_1h.csv, data file, comma-separated values</li> <li>data_file_header.txt, metadata, text</li> <li>README.txt, metadata, text</li> <li>change_log.txt</li> </ul> <p><strong>Dataset license</strong></p> <p>This cold and warm temperature advection mask dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0</p> <p><strong>Change log</strong></p> <p>v1.1 - data file updated using new input dataset of measured air and sea surface temperature</p> <ul> <li>data file modified</li> <li>README updated accordingly with details of processing and change_log.txt</li> <li>added change_log.txt file</li> </ul> <p>v1.0 - initial release of dataset</p>
A sample of the training data used in the paper "A Hybrid Physics-AI (HyPhAI) approach for probability fields advection: Application to cloud cover nowcasting"
<p>Copyright (2024) EUMETSAT</p>
Chen et al (2021) Mesoscale and Submesoscale Shelf-Ocean Exchanges Initialize an Advective Marine Heatwave
<p>data and software for Chen et al (2021) "Mesoscale and Submesoscale Shelf-Ocean Exchanges Initialize an Advective Marine Heatwave" in Journal of Geophysical Research: Oceans</p>
Advective-diffusive transport in fractured media
<p>Input and output files for DFN simulations in DFN.Lab</p> <p>Scritps for reading the results </p> <p>Scritps for figuures representing the theoretical behavior. </p>
Exploring Advectable Latent Representations for Droplet Size Distributions with Physics-Informed Autoencoders
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Data from: Role of horizontal temperature advection in Arctic surface warming in early spring
<p><span>Extreme Arctic warming scenario is studied with an idealized numerical experiment of polar warming. We employ the Community Earth System Model version 1.0 (CESM1.0) in this study. The control starts from the rest of the data with standard configurations (using a CO<sub>2</sub> concentration of 285 ppm). Overall, the model climate reaches a quasi-equilibrium state after 1,000 years of integration (Yang et al., 2015). A surface albedo perturbation experiment (0.1A) is carried out to achieve global warming and AA. During years 1501-2000, 0.1A is "parallel" to control, with the same initial conditions at the end of year 1500, and it reaches quasi-equilibrium after the 500-year integration. In the numerical result study, we focus on the equilibrium responses using the monthly averaged fields over the last 200 years of integration. Here we offered SAT anomaly, 500 hPa geopotential height, surface wind anomaly, and surface horizontal heat advection anomaly.</span></p>
Orientation-dependent propulsion of active Brownian spheres: from self-advection to programmable cluster shapes
<p>Supplemental data for the following manuscript: Stephan Bröker, Jens Bickmann, Michael te Vrugt, Michael E. Cates, Raphael Wittkowski, "Orientation-dependent propulsion of active Brownian spheres: from self-advection to programmable cluster shapes".</p>
Data from: Role of horizontal temperature advection in Arctic surface warming in early spring
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Conservative Interpolation Between Control-Volume Meshes: Application to Advection & Multiphase Flow
<p>Numerical Raw Data pertaining to the Publication linked to the DOI above. Uploaded as per Open Access requirements.</p> <p>The paper itself presents a general, higher order conservative and bounded interpolation for the dynamic and adaptive meshing of continuous and discontinuous control-volume fields. The method is discussed in detail and its robustness and applicability demonstrated through several examples, including advection dominated inertial flow as well multiphase porous media flow.</p> <p> </p>
Rate of formation of caustics in heavy particles advected by turbulence
<p>The rate of collision and the relative velocities of the colliding particles in turbulent flows is a crucial part of several natural phenomena, e.g., rain formation in warm clouds and planetesimal formation in a protoplanetary disks. The particles are often modeled as passive, but heavy and inertial. Within this model, large relative velocities emerge due to formation of singularities (caustics) of in the gradient matrix of the velocities of the particles. Using extensive direct numerical simulations of heavy particles in both two (direct and inverse cascade) and three dimensional turbulent flows we calculate the rate of formation of caustics, as a function of the Stokes number.</p> <p>The two directories contains tar file of run directories for two different Reynolds number (90 and 180). The corresponding taueta are 0.41 and 1.54 respectively. The data can be read and analyzed with the python files included in the python directory.</p>
Data from: A computational method for sharp interface advection
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Rate of formation of caustics in heavy particles advected by turbulence
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Quantifying meridional advection in the auroral E-region for a range of geomagnetic activity levels
<p>This repository contains the data used to reproduce the plots in the paper titled:</p> <p><em>Quantifying meridional advection in the auroral E-region for a range of geomagnetic activity levels</em></p> <p>The paper was first submitted on XX/2024 and accepted at XX/2024.</p> <p>A GitHub repository with the code used to produce the plots in the paper will be posted at ZZZZ.</p>
Data from: Advection by ocean currents modifies phytoplankton size structure
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OpenNeuro
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