edu.ucar.opensky::articles:26905 UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact 2025-12-24T18:57:41.541153 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) https://n2t.org/ark:/85065/d7fj2mx0 https://doi.org/10.26023/3CX2-GQCY-3G04 https Related Dataset #1 NCAR S-PolKa Radar Rain Rate Data: DYNAMO Legacy Collection. Version 1.0 https://doi.org/10.26023/AWMZ-6K3T-T003 https Related Dataset #2 NCAR S-PolKa Radar Reflectivity Data: DYNAMO Legacy Collection. Version 1.0 https://doi.org/10.5065/BH6N-5N20 https Related Dataset #3 ERA5 Reanalysis (0.25 Degree Latitude-Longitude Grid) https://doi.org/10.5065/D6RV0KR8 https Related PhysicalObject #1 S-PolKa: S-band/Ka-band Dual Polarization, Dual Wavelength Doppler Radar Evaluation of a stochastic mixing scheme in the deep convective gray zone using a tropical oceanic deep convection case study 2024-01-01T00:00:00Z publication https://n2t.org/ark:/85065/d7fj2mx0 https://doi.org/10.1029/2023MS003748 Stanford, M. W. author Varble, A. C. author Morrison, Hugh author UCAR/NCAR - Library publisher A stochastic horizontal subgrid-scale mixing scheme is evaluated in ensemble simulations of a tropical oceanic deep convection case using a horizontal grid spacing (Delta h) of 3 km. The stochastic scheme, which perturbs the horizontal mixing coefficient according to a prescribed spatiotemporal autocorrelation scale, is found to generally increase mesoscale organization and convective intensity relative to a non-stochastic control simulation. Perturbations applied at relatively short autocorrelation scales induce differences relative to the control that are more systematic than those from perturbations applied at relatively long scales that yield more variable outcomes. A simulation with mixing enhanced by a constant factor of 4 significantly increases mesoscale organization and convective intensity, while turning off horizontal subgrid-scale mixing decreases both. Total rainfall is modulated by a combination of mesoscale organization, areal coverage of convection, and convective intensity. The stochastic simulations tend to behave more similarly to the constant enhanced mixing simulation owing to greater impacts from enhanced mixing as compared to reduced mixing. The impacts of stochastic mixing are robust, ascertained by comparing the stochastic mixing ensembles with a non-stochastic mixing ensemble that has grid-scale noise added to the initial thermodynamic field. Compared to radar observations and a higher resolution Delta h = 1 km simulation, stochastic mixing seemingly degrades the simulation performance. These results imply that stochastic mixing produces non-negligible impacts on convective system properties and evolution but does not lead to an improved representation of convective cloud characteristics in the case studied here. UCAR/NCAR - Library OpenSky Support PO Box 3000 Boulder CO 80307-3000 opensky@ucar.edu http://opensky.ucar.edu/ homepage pointOfContact PDF Text theme Resource Type 2016-01-01T00:00:00Z publication Copyright author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. None eng geoscientificInformation