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Dataset results
4 results for “Stable Boundary Layer”
Data Sets: Estimating scalar turbulent fluxes with slow-response sensors in the stable atmospheric boundary layer
<p>Date of data analysis: Statistical analyses conducted throughout the 2023 year </p><p>Information about funding sources that supported the collection of the data:</p><p>The research was supported by the Cooperative Institute for Modeling the Earth System at Princeton University under Award NA18OAR4320123 from the National Oceanic and Atmospheric Administration, and by the US National Science Foundation under award number AGS 2128345. Also, it was supported by the National Defense Science and Engineering Graduate Fellowship from the U.S. Department of Defense and Army Research Office. Similarly, the National Science Foundation provided support to complete the PHOXMELT field studies (Grant PLR- 1417914) to collect the data. Also, the study was supported by the U.S. National Science Foundation (NSF-AGS-2028633) and the Department of Energy (DE-SC0022072).</p><p>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.</p><p>This dataset contains the observational data for the two field experiments (Barrow and Wendell) in .nc file format.</p>
Data of Water Vapor Flux-Profile Relationship in the Stable Boundary Layer over the Sea Surface
<p>data and code for paper 'Water Vapor Flux-Profile Relationship in the Stable Boundary Layer over the Sea Surface'</p>
LMDZ6iso output - Antarctic water stable isotopes in the global atmospheric model LMDZ6: from climatology to boundary layer processes
<h3><strong>Update of the Simulation</strong></h3> <p dir="ltr">This archive contains the output of a revised simulation, addressing issues identified in the original simulation described in the following article:</p> <p><em>Dutrievoz, N., Agosta, C., Risi, C., Vignon, É., Nguyen, S., Landais, A., ... & Prié, F. (2025). Antarctic water stable isotopes in the global atmospheric model LMDZ6: From climatology to boundary layer processes. Journal of Geophysical Research: Atmospheres, 130(5), e2024JD042073.</em></p> <p>All information is available here:<strong> <a href="https://docs.google.com/document/d/1x4FSGtNiJGqsMoks38yATzTQJ7T8sO8iXqeWagTU5yE/edit?usp=sharing">README</a></strong></p> <p>Researchers and colleagues are welcome to contact me at <strong>niels.dutrievoz@lsce.ipsl</strong>.<strong>fr</strong> for any further information regarding this updated simulation or potential collaborations. Please feel free to reach out if you are interested in daily or hourly output data from this simulation.</p> <p dir="ltr">I look forward to any exchanges that might arise from this work.</p> <p> </p>
Codes and datasets associated with the paper "Addressing the Grid-size Sensitivity Issue in Large-eddy Simulations of Stable Boundary Layers"
<p>From here, you will find some of the codes, simulation data in the article: </p> <p>Dai, Y., Basu, S., Maronga, B. and de Roode, S.R., 2020. Addressing the Grid-size Sensitivity Issue in Large-eddy Simulations of Stable Boundary Layers. <em>arXiv preprint arXiv:2003.09463</em>.</p> <p><strong>Simulation results from DALES: </strong></p> <p>within the folder of DALES, D52 denotes default scheme of Deardorff, H52 denotes the revised Deardorff scheme. Numbers of each fold indicates the grid number in each direction. </p> <p><strong>Simulation results from MATLES:</strong></p> <p>file name: MATLES/variable.out</p> <p>Example: MATLES/aT.out, the potential temperature data (2D, time and height) from MATLES</p> <p><strong>Python code for plotting: </strong></p> <p>dalesfunc.py is the function file used to process data</p> <p>DALES_plotting.py is the code file used for plotting the simulation results from DALES and MATLES</p> <p><strong>DALES input:</strong></p> <p>namoptions in each folder is the file for DALES options input</p>
ScienceDex guides
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