This README file was generated on 2023-05-23 by Joseph Fogarty Last updated: 2023-08-21 GENERAL INFORMATION Title of Dataset: 'Princeton Dataspace CEE Research Data Sets: Simulation Results for Half Ice / Half Water Surfaces' Author/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/Associate or Co-investigator 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 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. SHARING/ACCESS INFORMATION Links to publications that cite or use the data: Fogarty, J., Bou-Zeid, E. The Atmospheric Boundary Layer Above the Marginal Ice Zone: Scaling, Surface Fluxes, and Secondary Circulations. Boundary-Layer Meteorol (2023). https://doi.org/10.1007/s10546-023-00825-x 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_half_lesdata_2023, title = {Dataset: Large-Eddy Simulation Results for Half Ice / Half Water Surfaces}, author = {J. Fogarty and E. Bou-Zeid}, year = {2023}, howpublished = {\url{https://doi.org/10.34770/tht3-6096}}, } DATA & FILE OVERVIEW This dataset contains the non-dimensional results of large-eddy simulations in .txt file format conducted over an idealized half-and-half ice-water surface with equivalent roughness lengths but differing surface temperatures. The surface temperatures, geostrophic wind speed, and geostrophic wind direction are altered as to conduct the analysis followed in Fogarty & Bou-Zeid (Boundary-Layer Meteorol., 2023), in review. Each file represents a simulation of either two-dimensional averages or one-dimensional vertical profiles of an atmospheric variable (detailed below) analyzed in the publication mentioned above. A variable ending with the file suffix "_yt" is Reynolds-averaged in y and time only, it is thus a 2D field. Any variable ending with the file suffix '_xyt' is Reynolds-averaged in y and time, as well as spatially averaged in x, thus it is a vertical profile. Sorting the files by size allows you to quickly discern which files are profiles versus 2D averages. The averaging time used is half of an intertial time period. The simulations are named in this dataset by the following format: dT{xx}-M{y}-{pppp}_{var}_{avg}, where: - {xx} is the temperature difference between ice and water at the surface (ranges from 2 to 16 Kelvin) - {y} is the geostrophic wind speed (either 1, 2, or 4 meters per second) - {pppp} is the surface geostrophic wind direction (either 'perp' or 'parl') relative to the ice-water edge - {var} is the nondimensional variable (see variable list below) - {avg} is the averaging procedure (either 'xyt' or 'yt') described above Full list of simulations: dT02-M1-perp dT02-M2-parl dT02-M2-perp dT04-M1-perp dT04-M2-parl dT04-M2-perp dT06-M2-perp dT06-M2-parl dT08-M4-perp dT08-M2-perp dT08-M2-parl dT10-M2-perp dT10-M2-parl dT12-M2-parl dT12-M2-perp dT14-M2-perp dT14-M2-parl dT16-M2-perp dT16-M2-parl dT16-M4-perp 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, 100), 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. 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) DATA-SPECIFIC INFORMATION FOR EACH SIMULATION: The following variables are given in both the 2D and profile formats. These results are nondimensional, and can be dimensionalized by the value given in the normalization column. Note that while theta_scale always has a value of 300 K, the value of Mg changes depending on the simulation (either 1, 2, or 4 meters per second; consult simulation title for value of Mg used) 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 tke, turbulent kinetic energy, meter squared per second squared, Mg^2, 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