This README file was generated on April 12, 2024 by Joseph Fogarty NOTE: A manuscript is under review which uses these simulations, more detail can be found in that manuscript once published. NOTE: These files are compressed before being uploaded to PDC, simply extract the files to retain the directory structure described below. GENERAL INFORMATION Title of Dataset: 'Large-Eddy Simulation Results for Satellite-Sensed Sea Ice Surfaces' Author 1/Principal Investigator Information Name: Joseph Fogarty ORCID: 0009-0008-3374-5232 Institution: Princeton University Address: 41 Olden Street, Princeton, NJ 08544, USA Email: jjf1295@gmail.com Author 2 Information Name: Elie Bou-Zeid ORCID: 0000-0002-6137-8109 Institution: Princeton University Address: 41 Olden Street, Princeton, NJ 08544, USA Email: ebouzeid@princeton.edu Date of data collection: Simulations and statistical analyses conducted throughout the year 2023 Information about funding sources that supported the collection of the data: The research was supported by the US National Science Foundation under award number AGS 2128345 and the National Oceanic and Atmospheric Administration, U.S. Department of Commerce under by award NA18OAR4320123. The statements, findings, conclusions, and recommendations are those of the authors and do not necessarily reflect the views of the National Oceanic and Atmospheric Administration, or the U.S. Department of Commerce. SHARING/ACCESS INFORMATION Links to publications that cite or use the data: Publication in review, will update with citation and DOI when in press Links to other publicly accessible locations of the data: This dataset can be accessed via Princeton Data Commons at https://doi.org/10.34770/2ncq-sq05 Recommended citation for this dataset: Please at minimum use the DOI when citing this data. Here is a BibTeX entry for a bibliography you may use: @misc{fogarty_bouzeid_data_2023, title = {Dataset: Large-Eddy Simulation Results for Satellite-Sensed Sea Ice Surfaces}, author = {J. Fogarty and E. Bou-Zeid}, year = {2024}, %howpublished = {https://doi.org/10.34770/2ncq-sq05}, } DATA & FILE OVERVIEW This dataset contains the non-dimensional results of large-eddy simulations in .npy file format, conducted over the eight different sea ice surface patterns detailed in Fogarty et al. (2024) with differing roughness lengths and surface temperatures. Each file represents a three-dimensional Reynolds-averaged simulation of an atmospheric variable (detailed below) analyzed in the publication mentioned above. The averaging time used is one full intertial time period. The simulations are named in this dataset by the following format: {surface}_aver_3D_{var}.npy, where: - {surface} represents a specific pattern, and any modifiers are specific to the suite in the manuscript (see suite list below) - {var} is the nondimensional variable (see variable list below) The following directories are in this dataset: - Suite I: Simulation titles in Suite I have any of the following suffixes: '-principal', '-secondary', '-strip-principal', or 'strip-secondary' - Suite II: Simulation titles in Suite II either have the suffix '-rough' or '-smooth', detailing whether or not the ice was rougher or smoother than the ocean, respectively All of these simulations have a domain extent (L_x, L_y, L_z=z_i) of (10 km, 10 km, 1 km). The numerical mesh (Nx, Ny, Nz) is (200, 200, 108), with a dz of 50 m. For plotting, the vertical levels vary for each variable. A variable at 'c_s nodes' is plotted at dz/2, dz, 2*dz, 3*dz, and so forth up to z_i. A variable on 'w nodes' is plotted at 0, dz, 2*dz, 3*dz, and so forth up to z_i. This information is given in the variable table below. Since these simulations are given in .npy file format, there is no need to reshape these matrices after downloading them: the 0th axis is in z (vertical), the 1st axis in y (cross-stream), and the 2nd is in x (streamwise). METHODOLOGICAL INFORMATION The large-eddy simulation methodology used to conduct the numerical simulations that comprise this dataset is detailed in "A scale-dependent Lagrangian dynamic model for large eddy simulation of complex turbulent flows" (2005) by Bou-Zeid et al. (https://doi.org/10.1063/1.1839152). Information on the sea ice maps used as bottom boundaries for these simulations can be found at: Fetterer, F., S. Wilds, and J. Sloan. (2008). Arctic Sea Ice Melt Pond Statistics and Maps, 1999-2001, Version 1 [Data Set]. Boulder, Colorado USA. National Snow and Ice Data Center. https://doi.org/10.7265/N5PK0D32. DATA-SPECIFIC INFORMATION FOR EACH SIMULATION: The following variables are given in atmospheric profile formats. These results are nondimensional, and can be dimensionalized by the value given in the normalization column. The variable 'theta_scale' always has a value of 300 K, the value of 'Mg' always has a value of 2 meters per second. variable name, variable description, units, normalization, vertical nodes u, velocity in x-direction, meter per second, Mg, c_s nodes v, velocity in y-direction, meter per second, Mg, c_s nodes w, velocity in z-direction, meter per second, Mg, c_s nodes theta, potential temperature, Kelvin, theta_scale, c_s nodes uw, resolved Reynolds stress in the x-direction, meter squared per second squared, Mg^2, c_s nodes vw, resolved Reynolds stress in the y-direction, meter squared per second squared, Mg^2, c_s nodes txz, sub-grid scale Reynolds stress in the x-direction, meter squared per second squared, Mg^2, w nodes tyz, sub-grid scale Reynolds stress in the y-direction, meter squared per second squared, Mg^2, w nodes wt, resolved heat flux in the z-direction, Kelvin meter per second, theta_Scale*Mg, c_s nodes sgs_t3, sub-grid scale heat flux, Kelvin meter per second, theta_Scale*Mg, w nodes