This README file was generated on Aug 2, 2023 by Joseph Fogarty GENERAL INFORMATION Title of Dataset: 'Princeton Dataspace CEE Research Data Sets: Large-Eddy Simulation and Statistical Metric Results for Patterned 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/Dataset Contributor 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 2022 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. We would also like to thank Mitchell Bushuk and Linette Boisvert for their invaluble help in creating these surfaces. SHARING/ACCESS INFORMATION Licenses/restrictions placed on the data, or limitations of reuse: CC-BY-4.0 Rights URI: https://creativecommons.org/licenses/by/4.0/legalcode 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 DataSpace at https://doi.org/10.34770/5x2y-5485. Recommended citation for this dataset: Please at mimimum 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 and Statistical Metric Results for Sea Ice Surfaces}, author = {J. Fogarty and E. Bou-Zeid}, year = {2023}, howpublished = {https://doi.org/10.34770/5x2y-5485} Fogarty, J. (2023). Princeton Dataspace CEE Research Data Sets: Large-Eddy Simulation and Statistical Metric Results for Patterned Sea Ice Surfaces [Data set]. Princeton University. https://doi.org/10.34770/5X2Y-5485 DATA & FILE OVERVIEW This dataset contains the non-dimensional results of large-eddy simulations in .txt file format conducted over the five patterns detailed in Fogarty et al. (2023) with differing roughness lengths and surface temperatures. The patterns are altered as to conduct the analysis followed in Fogarty et al. (2023). 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: pattern{n}_3D_{var}.npy, where: - {n} is a number from 1-5 which represents a specific sea ice pattern, consult the table in Fogarty et al. (2023) - {var} is the nondimensional variable (see variable list below) 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 (100, 100, 50), with a dz of 100 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. These simulations are given in a flat text format (.txt). One is able to download and reshape these matrices using the following code: 'reshaped_3d_mat = np.reshape(full_3d_mat,(N_z,N_y,N_x))'. Using this line, you will reshape the matrix such that the 0th axis is in z (vertical), the 1st axis in y (cross-stream), and the 2nd is in x (streamwise). This dataset also contains the results from the FRAGSTATS analysis detailed in the "Ice Map Data" and "Variance Inflation Factor" sections of Fogarty et al. (2023). These nine files are named in the format 'all_het_data_cellsizeXXXX.csv' where XXXX represents the resolution of ice maps used in that particular FRAGSTATS analysis. THe resolution starts at 0002 meters and aggregates up to 2000 meters. Here is a full list of the files: all_het_data_cellsize0002.csv all_het_data_cellsize0010.csv all_het_data_cellsize0020.csv all_het_data_cellsize0050.csv all_het_data_cellsize0100.csv all_het_data_cellsize0200.csv all_het_data_cellsize0500.csv all_het_data_cellsize1000.csv all_het_data_cellsize2000.csv pattern8_3D_u.txt, pattern8_3D_uw.txt, pattern8_3D_v.txt, pattern8_3D_vw.txt, pattern8_3D_w.txt, pattern8_3D_wt.txt, pattern9_3D_sgst3.txt, pattern9_3D_theta.txt, pattern9_3D_txz.txt, pattern9_3D_tyz.txt, pattern9_3D_u.txt, pattern9_3D_uw.txt, pattern9_3D_v.txt, pattern9_3D_vw.txt, pattern9_3D_w.txt, pattern9_3D_wt.txt, pattern5_3D_sgst3.txt, pattern5_3D_theta.txt, pattern5_3D_txz.txt, pattern5_3D_tyz.txt, pattern5_3D_u.txt, pattern5_3D_uw.txt, pattern5_3D_v.txt, pattern5_3D_vw.txt, pattern5_3D_w.txt, pattern5_3D_wt.txt, pattern6_3D_sgst3.txt, pattern6_3D_theta.txt, pattern6_3D_txz.txt, pattern6_3D_tyz.txt, pattern6_3D_u.txt, pattern6_3D_uw.txt, pattern6_3D_v.txt, pattern6_3D_vw.txt, pattern6_3D_w.txt, pattern6_3D_wt.txt, pattern7_3D_sgst3.txt, pattern7_3D_theta.txt, pattern7_3D_txz.txt, pattern7_3D_tyz.txt, pattern7_3D_u.txt, pattern7_3D_uw.txt, pattern7_3D_v.txt, pattern7_3D_vw.txt, pattern7_3D_w.txt, pattern7_3D_wt.txt, pattern8_3D_sgst3.txt, pattern8_3D_theta.txt, pattern8_3D_txz.txt, pattern8_3D_tyz.txt, README.txt 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 FRAGSTATS can be found at fragstats.org, or: McGarigal, K. and Marks, B. J.: FRAGSTATS: spatial pattern analysis program for quantifying landscape structure., Tech. Rep. PNW-GTR-351, U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, Portland, OR, https://doi.org/10.2737/PNW-GTR-351, 1995 Information on the sea ice maps used in the FRAGSTATS analysis 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. More simulation information can be found in Fogarty et al. (2023). 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