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-
- 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 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
-
- Description:
- This is a data set for generating current densities used for the validation of two methods. Similarly, it gives the electric fields for the 80-minute validation of the two methods. Furthermore, the partial transfer function method calculated electric fields are also deposited in this dataset. Similarly, the spectrum of each source and impulse response obtained from the FDTD model are also included. Finally, the electric fields were obtained for 8 hours using the PTF method.
- Keyword:
- FDTD, Geoelectric fields, Partial transfer function, and Long-time span
- Subject:
- geoelectricity and finite difference time domain method
- Creator:
- Sharma Paneru, Prashanna
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 11/08/2024
- Date Modified:
- 11/11/2024
- Date Created:
- 2024-01-01 to 2024-11-08
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- https://doi.org/10.7278/S5d-ev5n-d1v5
-
- Description:
- Whole-cell recordings from the anuran inferior colliculus. The data is averaged & representative whole-cell recordings, stats and code used for the analysis.
- Keyword:
- counting neurons, estimating elapsed time, and decoding information
- Subject:
- Counting, time perception, whole-cell recordings, and interval counting neurons
- Creator:
- Alluri, Rishi K. and Rose, Gary J.
- Contributor:
- Vasquez-Opazo, Gustavo A., Odom, Stephen E., Graham, Jalina A., Leary, Christopher J., Hanson, Jessica L. , Wilkerson, Jeremy, Palaparthi, Anil, Luong, Kyphuong, McDowell, Jamie, and Mukhopadhyay, Anwesha
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 07/25/2024
- Date Modified:
- 08/08/2024
- Date Created:
- 2005-01-07 to 2022-12-07
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Dataset
- Identifier:
- http://doi.org/10.7278/S5d-0ndd-9r1n
-
- Description:
- Data were collected from the free online available International Ionosphere Reference (IRI) database ( https://kauai.ccmc.gsfc.nasa.gov/instantrun/iri) for January 1, 2020. The data were then interpolated from 1km to our desired resolution of 0.1km. This is is profile used to simulate the 3D FDTD models to observe the propagation of power line harmonic radiation through the ionosphere.
- Keyword:
- Ionosphere and Inhomogeneous Ionosphere
- Subject:
- FDTD (mathematics), plasmas (physics) , and ionospheric electron density
- Creator:
- Pedgaonkar, Apoorva
- Owner:
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 07/12/2024
- Date Modified:
- 09/06/2024
- Date Created:
- 2020-01-20
- License:
- Public Domain – This data is free of copyright restrictions (e.g. government sponsored data).
- Resource Type:
- Dataset
- Identifier:
- http://doi.org/10.7278/S5d-hpp0-g1wy
-
- Description:
- The dataset contains velocity measurements along the fiber optic cable connecting the University of Utah campus to the University of Utah Downtown data center (875 West Temple, Salt Lake City, UT). The data has been collected using the Distributed acoustic sensing (DAS) system that records the vibration signals along 8.4 km long optical fiber every 4.9-m interval with a sampling rate of approximately 1000 Hz. The fiber is mainly installed along the red line of TRAX, which is the light rail system of the Utah Transit Authority. The route intersects the East Bench fault, which is known as an active fault segment of the Wasatch Fault zone. Although no earthquake signals were detected, the velocity data converted to strain rate clearly show the operation of trains between the stations at 450 S Main Street and 900 South 200 West. Analysis of this dataset is expected to provide insights into seismic velocities at shallow depths and structures associated with fault scarps. and See README file for data retrieval instructions.
- Keyword:
- seismology, urban seismology, distributed acoustic sensing, fiber optic cable, and strain rate
- Subject:
- Geophysics, Seismology, Seismology--Observations, and Surface fault ruptures
- Creator:
- Kim, HyeJeong and Lin, Fan-Chi
- Contributor:
- Chambers, Derrick
- Owner:
- Kaylee Alexander
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- English
- Date Uploaded:
- 07/01/2024
- Date Modified:
- 11/05/2024
- Date Created:
- 2023-05-24 to 2023-05-26 (period 1), 2023-08-03 to 2023-08-11 (period 3), 2023-12-22 to 2024-01-02 (period 4), and 2023-06-29 to 2023-07-10 (period 2)
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Identifier:
- https://doi.org/10.7278/S5d-kgxx-ev8y
-
- Description:
- As strong cooling agents in the climate system, marine low-level clouds are an important component of the climate system. Demonstrating how marine low-level clouds respond to anomalies in the atmospheric general circulation in the present climate has the potential to be illustrative of how low clouds might change in a future climate. We examine how thermodynamic factors that control low cloud occurrence change during an ENSO cycle and then how low clouds observed by the CloudSat and CALIPSO satellites vary. In addition to the well-known decrease in marine low clouds in the Northeast Pacific during El Niño onset in June, July and August (JJA), we also find significant increases in the low cloud occurrence on the flanks of the anomalously warm water in the Equatorial Central Pacific during December, January and February (DJF). These low cloud changes are linked to measurable changes in the Earth’s energy budget with net warming of the Earth system during JJA and cooling of the Earth system during DJF. This is the python code to create the figures for the paper about the above research.
- Keyword:
- CloudSat , CALIPSO, El Niño–Southern Oscillation (ENSO), and marine
- Subject:
- ENSO
- Creator:
- Gombert, Peter M., Strong, Courtenay, and Mace, Gerald G. (Jay)
- Owner:
- Sally Benson
- Based Near Label Tesim:
- Salt Lake City, Utah, United States
- Language:
- Python and English
- Date Uploaded:
- 06/18/2024
- Date Modified:
- 09/09/2024
- Date Created:
- 2023-06-01 to 2024-06-01 (collected) and 2007-2018 (created)
- License:
- CC BY NC - Allows others to use and share your data non-commercially and with attribution.
- Resource Type:
- Software or Program Code
- Identifier:
- https://doi.org/10.7278/S5d-64j3-1n2n
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