Sea Ice Dynamics in ICON-O - Numerical evaluation

This data set includes the numerical data and the relevant source code accompanying the manuscript " Modeling sea ice dynamics in the tangential plane on the sphere". In addition to the raw data, Python and shell scripts are deposited to process the data. The data set is used to evaluate t...

Full description

Bibliographic Details
Main Author: Carolin Mehlmann
Format: Dataset
Language:unknown
Published: Mendeley 2022
Subjects:
Online Access:https://dx.doi.org/10.17632/2v5shnnmwx.2
https://data.mendeley.com/datasets/2v5shnnmwx/2
id ftdatacite:10.17632/2v5shnnmwx.2
record_format openpolar
spelling ftdatacite:10.17632/2v5shnnmwx.2 2023-05-15T18:16:39+02:00 Sea Ice Dynamics in ICON-O - Numerical evaluation Carolin Mehlmann 2022 https://dx.doi.org/10.17632/2v5shnnmwx.2 https://data.mendeley.com/datasets/2v5shnnmwx/2 unknown Mendeley https://dx.doi.org/10.17632/2v5shnnmwx BSD 3-Clause ("Revised") License BSD Dataset dataset 2022 ftdatacite https://doi.org/10.17632/2v5shnnmwx.2 https://doi.org/10.17632/2v5shnnmwx 2022-02-09T13:39:26Z This data set includes the numerical data and the relevant source code accompanying the manuscript " Modeling sea ice dynamics in the tangential plane on the sphere". In addition to the raw data, Python and shell scripts are deposited to process the data. The data set is used to evaluate the new discretization of the sea ice dynamics in the ocean model ICON-O. The approach is based on a CD-grid like approximation of the sea ice momentum equation, that is realized on an icosahedral grid. We numerically demonstrate the first order convergence in space by comparing the approximation to an analytic solution (4.1/ball.gp). We further show that a stabilization of the CD-grid on the icosahedral gird is required (4.1/vtk). To analyze the robustness of the CD-grid approach in ICON-O we solve the sea ice momentum equation on the sphere (4.2/ice_drift_sphere00002.vtk) and compare the results to a simulation conducted in two-dimensional planar geometry (4.2/ice_drift_planar00001.vtk). Finally we demonstrate that the CD-grid discretization of the sea ice dynamics in ICON-O is less diffusive than the A-grid discretization(4.3/extent_ICON.gp) and allows a larger flow through narrow channels (4.3/transport_ICON.gp). We visualize the ice thickness and concentration of the A-grid (4.3/Agrid_ice_dynamics01392.vtk) and CD-grid type approach (4.3/Agrid_ice_dynamics01392.vtk) after two month. README.txt outlines how the routines are realized in ICON-O. Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This data set includes the numerical data and the relevant source code accompanying the manuscript " Modeling sea ice dynamics in the tangential plane on the sphere". In addition to the raw data, Python and shell scripts are deposited to process the data. The data set is used to evaluate the new discretization of the sea ice dynamics in the ocean model ICON-O. The approach is based on a CD-grid like approximation of the sea ice momentum equation, that is realized on an icosahedral grid. We numerically demonstrate the first order convergence in space by comparing the approximation to an analytic solution (4.1/ball.gp). We further show that a stabilization of the CD-grid on the icosahedral gird is required (4.1/vtk). To analyze the robustness of the CD-grid approach in ICON-O we solve the sea ice momentum equation on the sphere (4.2/ice_drift_sphere00002.vtk) and compare the results to a simulation conducted in two-dimensional planar geometry (4.2/ice_drift_planar00001.vtk). Finally we demonstrate that the CD-grid discretization of the sea ice dynamics in ICON-O is less diffusive than the A-grid discretization(4.3/extent_ICON.gp) and allows a larger flow through narrow channels (4.3/transport_ICON.gp). We visualize the ice thickness and concentration of the A-grid (4.3/Agrid_ice_dynamics01392.vtk) and CD-grid type approach (4.3/Agrid_ice_dynamics01392.vtk) after two month. README.txt outlines how the routines are realized in ICON-O.
format Dataset
author Carolin Mehlmann
spellingShingle Carolin Mehlmann
Sea Ice Dynamics in ICON-O - Numerical evaluation
author_facet Carolin Mehlmann
author_sort Carolin Mehlmann
title Sea Ice Dynamics in ICON-O - Numerical evaluation
title_short Sea Ice Dynamics in ICON-O - Numerical evaluation
title_full Sea Ice Dynamics in ICON-O - Numerical evaluation
title_fullStr Sea Ice Dynamics in ICON-O - Numerical evaluation
title_full_unstemmed Sea Ice Dynamics in ICON-O - Numerical evaluation
title_sort sea ice dynamics in icon-o - numerical evaluation
publisher Mendeley
publishDate 2022
url https://dx.doi.org/10.17632/2v5shnnmwx.2
https://data.mendeley.com/datasets/2v5shnnmwx/2
genre Sea ice
genre_facet Sea ice
op_relation https://dx.doi.org/10.17632/2v5shnnmwx
op_rights BSD 3-Clause ("Revised") License
op_rightsnorm BSD
op_doi https://doi.org/10.17632/2v5shnnmwx.2
https://doi.org/10.17632/2v5shnnmwx
_version_ 1766190432984760320