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- Description:
- Three distinct datasets derived from https://ccmc.gsfc.nasa.gov/models/IRI~2016/. NeVLFpropinclin5.dat - Electron density profile collected from https://ccmc.gsfc.nasa.gov/models/IRI~2016/ for Jan 2020 at a resolution of 1km, then interpolated smoothly to a resolution of 0.1km with no abrupt jumps. NiVLFpropinclin5.dat - O+ ion density profile taken from https://ccmc.gsfc.nasa.gov/models/IRI~2016/ for Jan 2020 at a resolution of 1km, then interpolated smoothly to a resolution of 0.1km with no abrupt jumps. NiHplusVLFpropinclin5HighlatAmerica.dat - H+ ion density profile collected from https://ccmc.gsfc.nasa.gov/models/IRI~2016/ for Jan 2020 at a resolution of 1km, then interpolated smoothly to a resolution of 0.1km with no abrupt jumps.
- Keyword:
- Electron density, FDTD, IRI, Ion density, and ionosphere
- Subject:
- ionosphere, Ionospheric electron density, and electrons
- Creator:
- Pedgaonkar, Apoorva
- Owner:
- Madison Golden
- Date Uploaded:
- 06/09/2025
- Date Modified:
- 06/09/2025
- Date Created:
- 2024-07-12 to 2025-03-05
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Identifier:
- https://doi.org/10.7278/S5d-khd5-xqhg
- Creator:
- Pedgaonkar, Apoorva
- Owner:
- Date Uploaded:
- 06/06/2025
- Date Modified:
- 06/06/2025
- Rights Statement:
- In Copyright
- Resource Type:
- Dataset
- Creator:
- Pedgaonkar, Apoorva
- Owner:
- Date Uploaded:
- 06/06/2025
- Date Modified:
- 06/06/2025
- Rights Statement:
- In Copyright
- Resource Type:
- Dataset
- Creator:
- Pedgaonkar, Apoorva
- Owner:
- Date Uploaded:
- 06/06/2025
- Date Modified:
- 06/06/2025
- Rights Statement:
- In Copyright
- Resource Type:
- Dataset
- Description:
- The simulations 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. All cases are forced by a geostrophic wind of 9 m s⁻¹ under neutrally stratified conditions. The case "Hom_lim_9mps" features an almost non-existent vegetation density, with corresponding LAI values of 0.14, while the case “Empty_9mps” refers to a bare soil surface with no vegetation. Simulations were 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 = 0.05 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-srwd-k33d
- 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
- Description:
- The simulations 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. All cases are forced by a geostrophic wind of 9 m s⁻¹ under neutrally stratified conditions. The homogeneous canopy cases differ in their vertical Leaf Area Density (LAD) distributions. Specifically, the case "Hom_Amazon_9mps" represents the canonical Amazon forest, characterized by a canopy height of hc = 39 m and a total Leaf Area Index (LAI) of 7.05. The canopy height is fixed across all cases. The remaining homogeneous configurations, i.e. "Hom_eq_gaps_9mps" and "Hom_eq_patches_9mps" feature a reduced LAD profile, with a corresponding LAI value of 5.36. Simulations were 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 = 0.05 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:
- 06/05/2025
- 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-r15r-bdqq
- Description:
- This dataset contains measurements from an OTT PARticle SIze and VELocity (PARSIVEL) disdrometer which was installed on the roof of Highland High School in Salt Lake City, Utah, USA (40.724486°N; 111.843723°W; 1372 m MSL) during the cool seasons (November 15 – April 30) ending 2023 through 2024.
- Keyword:
- Orographic precipitation, Snow, Disdrometer, and PARSIVEL
- Subject:
- Atmospheric Science, Precipitation, and Snow
- Creator:
- Kingsmill, David E., Veals, Peter G., Wasserstein, Michael L., Evans, Ashley, and Steenburgh, Jim
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/05/2025
- Date Modified:
- 06/10/2025
- Date Created:
- 2022-11-26 to 2024-05-10
- 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-8vtz-5fsn
- Description:
- This dataset contains precipitation measurements from an OTT PARticle SIze and VELocity (PARSIVEL) disdrometer which was installed at the Atwater snow study plot in the town of Alta, Utah, USA (40.591269°N; 111.637789°W; 2682 m MSL) during the cool seasons ending 2023 through 2024.
- Keyword:
- Orographic precipitation, Snow, Disdrometer, and PARSIVEL
- Subject:
- Atmospheric Science, Precipitation, and Snow
- Creator:
- Evans, Ashley, Wasserstein, Michael L., Kingsmill, David E., Steenburgh, Jim, and Veals, Peter G.
- Owner:
- Based Near Label Tesim:
- Alta, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/05/2025
- Date Modified:
- 06/10/2025
- Date Created:
- 2022-11-15 to 2024-05-15
- 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-wtpn-az0j
- Description:
- This is data from a Micro Rain Radar (MRR) that was deployed at Highland High School in Salt Lake City, UT from 2022–2024. The MRR is a vertically pointing Doppler radar that operates at a frequency of 24 GHz (K-band). The radar collects time series of equivalent reflectivity, Doppler velocity, and Doppler velocity spectrum width, all in 1-dimension (the vertical).
- Keyword:
- MRR, Profiling Radar, Snow, and Precipitation
- Subject:
- Radar, Precipitation, Snow, and Atmospheric Science
- Creator:
- Veals, Peter G., Wasserstein, Michael L., and Steenburgh, Jim
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 06/02/2025
- Date Modified:
- 06/06/2025
- Date Created:
- 2022-11-23 to 2024-05-10
- 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-n1jc-2d68