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  • Large Eddy Simulations of Tall Vegetated Canopies: Homogeneous Canopies, Part 2

    Description:
    The simulation associated with this dataset form part of a broader investigation into the effects of heterogeneity in tall vegetated canopies, designed to emulate structural and aerodynamic characteristics of the Amazon rainforest. This simulation is forced with streamwise normalized pressure gradient of (1/ρ) (dp/dx) = 1 , where the friction velocity u* = 0.58 m/s and the boundary layer height zi = 1000 m are used as normalizing variables (i.e., dp/dx ~ (u*)^2/zi), and ρ refers to the hydrostatic density. Neutrally stratified conditions are assumed. The homogeneous canopy is characterized by a Leaf Area Index (LAI) of 5.36. This simulation shares the same canopy geometry as the case Hom_eq_gaps_9mps in Deposit 1; however, it differs in that it is driven by a prescribed pressure gradient rather than by geostrophic forcing. The simulations was conducted using a Large-Eddy Simulation (LES) domain of size (Lx, Ly, Lz) = (2π, 2π, 1) km, where x, y, and z denote the streamwise, spanwise, and vertical directions. The computational grid consists of (Nx, Ny, Nz) = (256,256,256) points, yielding a spatial resolution of (Δx, Δy, Δz) = (24.5, 24.5, 3.9) m. An aerodynamic roughness length of z0 = 0.01 m is imposed at the surface. Time integration employs a fixed time step of Δt = 0.02 s. Simulations are spun up for 25 h, and data are sampled over the final 5 h of integration. To facilitate data access, a MATLAB script (main_load_snapshots.m) and a supporting function (load_snaps.m) are provided. These scripts load the binary files and organize them into 4D arrays for subsequent analysis. and See README file for data retrieval instructions.
    Keyword:
    Vegetated canopies, Large Eddy Simulations, Instantaneous velocity fields, Quadrant Analysis, and Roughness Sublayer Flow Statistics
    Subject:
    Turbulence, Atmospheric science, and Computational fluid dynamics
    Creator:
    Salmaso, Giulia and Calaf, Marc
    Owner:
    Kaylee Alexander
    Based Near Label Tesim:
    Salt Lake City, Utah, United States
    Language:
    binary
    Date Uploaded:
    06/06/2025
    Date Modified:
    06/10/2025
    Date Created:
    2022-01-01 to 2025-05-29
    License:
    CC BY NC - Allows others to use and share your data non-commercially and with attribution.
    Resource Type:
    Dataset
    Identifier:
    https://doi.org/10.7278/S5d-bg3w-c2a3