Replication Data for "Beyond the Oberbeck-Boussinesq and long wavelength approximation"https://doi.org/10.18710/5JUYCJHeld, MarkusDataverseNO2022-12-072026-01-05T10:22:35Z<p></p>Dataset to the study on arbitrary wavelength polarization and non-Oberbeck-Boussinesq effects on interchange blob propagation that is published under the title</p> <p></p> <p></p>"Beyond the Oberbeck-Boussinesq and long wavelength approximation" M. Held and M. Wiesenberger</p> <p></p> <p>Abstract: We present the first simulations of a reduced magnetized plasma model that incorporates both arbitrary wavelength polarization and non-Oberbeck-Boussinesq effects. Significant influence of these two effects on the density, electric potential and ExB vorticity and non-linear dynamics of interchange blobs are reported. Arbitrary wavelength polarization implicates so-called gyro-amplification that compared to a long wavelength approximation leads to highly amplified small-scale ExB vorticity fluctuations. These strongly increase the coherence and lifetime of blobs and alter the motion of the blobs through a faster blob-disintegration. Non-Oberbeck-Boussinesq effects incorporate plasma inertia, which substantially decreases the growth rate and linear acceleration of high amplitude blobs, while the maximum blob velocity is not affected. Finally, we generalize and numerically verify unified scaling laws for blob velocity, acceleration and growth rate that include both ion temperature and arbitrary blob amplitude dependence.</p> <p></p> <p>The dataset contains to the study contains - published movies - reproduction data and scripts - FELTOR v6.0 version - simplesimdb</p>Mathematical SciencesPhysicsplasma physicsnuclear fusionscrape-off layer transportgyro-kineticinterchange blob transportgyro-fluidarbitrary wavelenth polarizationOberbeck-Boussinesq approximationlong wavelength approximationEnglishHeld, M., & Wiesenberger, M. (2022). Beyond the Oberbeck–Boussinesq and long wavelength approximation. Nuclear Fusion, 63(2), 026008. https://doi.org/10.1088/1741-4326/aca9e0, doi, 10.1088/1741-4326/aca9e0, https://doi.org/10.1088/1741-4326/aca9e02022-12-07Held, Markus2022-12-022021-01-012022-11-30simulation datamodel dataMIT