Data from: Shear-induced vertical mixing in a stratified Saharan Air Layer
Data files
Sep 30, 2024 version files 15.55 MB
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fig10a.dat
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fig10b.dat
792 B
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fig11a.dat
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fig11b.dat
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fig12a.dat
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fig12b.dat
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fig13a.dat
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fig13b.tar.xz
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fig2.tar.xz
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fig3a.dat
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fig3b.dat
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fig4.dat
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fig5a.dat
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fig5b.dat
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fig5c.dat
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fig5d.dat
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fig6a.dat
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fig6b.dat
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fig6c.dat
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fig6d.dat
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fig7.tar.xz
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fig8a.dat
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fig8b.dat
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fig9a.dat
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fig9b.dat
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figS1.tar.xz
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figS2.dat
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figS3.tar.xz
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figS4.tar.xz
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figS5a.dat
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figS5b.dat
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README.md
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Abstract
Recent studies have suggested vertical turbulent mixing in the Saharan Air Layer (SAL) as a possible mechanism explaining the observed long-range transport of coarse Saharan dust particles. Nevertheless, buoyancy profiles measured in the SAL typically display some degree of stable stratification, implying that any turbulence in this elevated layer must be stratified. In this paper, we idealize the SAL as a stratified shear layer where turbulence is triggered by the instability of the African Easterly Jet, and stratification occurs due to lateral entrainment of stratified, non-SAL air from the surroundings. Analytical solutions obtained for this idealized set-up are combined with LES data and results from the stratified turbulence community to produce a simple parameterization of the eddy diffusivity in a weakly stratified SAL as a function of layer depth, shear magnitude, and gradient Richardson number $\Ri_g$. Our results suggest that even $O\pth{1}\,\mathrm{m^2\,s^{-1}}$ eddy diffusivities (associated with relatively large $\Ri_g$) are enough to significantly impact the airborne lifetime of particles as large as super-coarse dust (with a diameter greater than $10\,\mathrm{\mu m}$). Therefore, even after accounting for the stabilizing effect of buoyancy, turbulent mixing in the SAL remains a likely explanation for the long-range transport of coarse Saharan dust. Moreover, our diffusivities decay faster with $\Ri_g$ than in typical ABL models, highlighting the importance of employing proper parameterization schemes in climate models to represent slow processes (affected by small diffusivities values) accurately.
README: Data from: Shear-induced vertical mixing in a stratified Saharan Air Layer
Dataset obtained from Large-Eddy Simulations (LES) of the Saharan Air Layer including different scenarios for shear and stratification. The simulations refer to a free-shear, stratified, 1-km thick air layer contained between free-slip walls, in a horizontal domain of 4 km x 4km with a resolution of 320^3 grid points. LES runs are labeled PiHj, where i is a number from 1 to 4 labelling the pressure gradient force (PGF) magnitude, whereas j is a number from 0 to 3 labelling the stratifying heating rate. Higher numbers indicate stronger PGF and faster stratification. Files contain statistics (planar, time-averages) corresponding to the published results.
See main text named "Shear-induced vertical mixing in a stratified Saharan Air Layer" by R. Rodakoviski and M. Chamecki for more details.
Description of the data and file structure
Each file is named after the corresponding figure in the paper. Files are either self-explanatory (with top row containing variable names and units, when applicable) or contain a README file describing their structure. A file-by-file description of their structure is also given below.
fig2.tar.gz
Contains:
- tropical-theta.dat: height above MSL z (km) and potential temperature theta (K) for SAL average levels. Calculated based on standard tropical profile defined in Anderson et al. (1986).
- AER_D contains 2 files:
- all-profs-T.out: first column is normalized z, following 10 columns are normalized potential temperature measurements from dropsondes, and last column is normalized ensemble average
- all-profes-u.out: first column is normalized z, following 10 columns are zonal wind speed (minus its vertical average) measurements from dropsondes, and last column is ensemble average
- SALTRACE contains 11 files:
- mean-soundings.out: normalized z and normalzied ensemble averaged potential temperature
- may##.txt: sounding measurement on day ## of may at SAL levels. first row describes the variables in each columns (potential temperature, wind speed, water vapor)
- README.md
fig3a.dat
Measurement profile. Columns are height above MSL z (km), buoyancy and shear frequencies squared, and local gradient Richardson number.
fig3b.dat
LES profile. Columns are height z (m), buoyancy and shear frequencies squared, and local gradient Richardson number.
fig4.dat
Production and buoyancy flux normalized by dissipation rate (as described in the text) for different LES runs (labeled row by row).
fig5a.dat
Potential temperature (K) from LES in a matrix format (xz plan) for case P1H1.
fig5b.dat
Potential temperature (K) from LES in a matrix format (xz plan) for case P4H1.
fig5c.dat
Potential temperature (K) from LES in a matrix format (xz plan) for case P1H3.
fig5d.dat
Potential temperature (K) from LES in a matrix format (xz plan) for case P4H3.
fig6a.dat
Vertical wind speed (m/s) from LES in a matrix format (xz plan) for case P1H1.
fig6b.dat
Vertical wind speed (m/s) from LES in a matrix format (xz plan) for case P4H1.
fig6c.dat
Vertical wind speed (m/s) from LES in a matrix format (xz plan) for case P1H3.
fig6d.dat
Vertical wind speed (m/s) from LES in a matrix format (xz plan) for case P4H3.
fig7.tar.gz
Contains:
- fig7a.dat: z/h, u velocity (m/s)
- fig7b.dat: z/h, theta/(318.0 K)
- fig7c.dat: z/h, K_u (m^2/s)
- fig7d.dat: z/h, w variance (m^2/s^2)
- fig7e.dat: z/h, Ri_g
- README.md
fig8a.dat
alpha and normalized shear frequency (as described in the text) for different LES runs (labeled row by row).
fig8b.dat
gamma and normalized buoyancy frequency (as described in the text) for different LES runs (labeled row by row).
fig9a.dat
Froude number and mixing coefficient for different LES runs (labeled row by row).
fig9b.dat
Buoyancy Reynolds number and mixing coefficient for different LES runs (labeled row by row).
fig10a.dat
Turbulence kinetic energy and vertical velocity variance for different LES runs (m2/s2, labeled row by row).
fig10b.dat
Product between rms vertical velocity (sigma_w) and dissipation lengthscale (ell_epsilon), momentum diffusivity, and heat diffusivity for different LES runs (m2/s, labeled row by row).
fig11a.dat
Product Mh and vertical velocity variance for different LES runs (m2/s2, labeled row by row).
fig11b.dat
Gradient Richardson number and normalized dissipation lengthscale for different LES runs (labeled row by row).
fig12a.dat
Gradient Richardson number and normalized momentum and eddy diffusivities for different LES runs (labeled row by row).
fig12b.dat
Gradient Richardson number and stability function from different LES runs (labeled row by row).
fig13a.dat
First column: gradient Richardson number. Remaining columns: relative increase in airborne lifetime of dust particles for different size particles (given in micrometers in the first row of the file).
fig13b.tar.gz
Contains:
- theory-variablerig.dat: first column is particle geometric diameter in micrometers, remaining columns are concentration fraction for different Richardson numbers (given in the first row of the file).
- limits.dat: first column is particle geometric diameter in micrometers, second and third columns are concentration fraction for laminar flow (no turbulence, K=0) and instant mixing (K=infinity) respectively.
- saltrace-data.dat: first column is particle geometric diameter in micrometers, second is concentration fraction calculated from SALTRACE data as described in the text.
- README.md
Figures from supplement
figS1.tar.gz
Contains:
- thetaxy-p#h#.dat: 4 files containing potential temperature (K) from LES in a matrix format (xy plan) for case P#H#.
- wxy-p#h#.dat: 4 files containing vertical velocity (m/s) from LES in a matrix format (xy plan) for case P#H#.
- README.md
figS2.dat
First column is sigma_w^* squared, second column is dimensionless shear rate. Each row is labeled according to the simulation name described in the main text.
figS3.tar.gz
Contains:
- CDF_AERD.dat: Cumulative distribution function for AERD data.
- cdfles-P1H3.dat: Cumulative distribution function for LES data (case P1H3).
- cdfles-P4H1.dat: Cumulative distribution function for LES data (case P4H1).
- CDF_SALTRACE.dat: Cumulative distribution function for SALTRACE data.
- PDF_AERD.dat: Probability distribution function for AERD data.
- pdfles-P1H3.dat: Probability distribution function for LES data (case P1H3).
- pdfles-P4H1.dat: Probability distribution function for LES data (case P4H1).
- PDF_SALTRACE.dat: Probability distribution function for SALTRACE data.
- README.md
figS4.tar.gz
Every file has 4 columns, containing normalized z, N2 (1/s2), S2 (1/s2), Rig=N2/S2 as described in the header. Contains:
- figS4ab_dz.dat: used for both figures S4a and S4b
- figS4a_#dz.dat: used for figure S4a with data smoothed at #dz
- figS4b_#dz.dat: used for figure S4b with data coarsened at #dz
- figS4cd_dz.dat: used for both figures S4c and S4d
- figS4c_#dz.dat: used for figure S4c with data smoothed at #dz
- figS4d_#dz.dat: used for figure S4d with data coarsened at #dz
- README.md
figS5a.dat
Vertical profiles measured in SALTRACE campaign. Columns are height above MSL z (km), potential temperature theta (degC), zonal wind speed u (m/s), meridional wind speed v (m/s), specific humidity q (g/kg) as labeled in the header.
figS5b.dat
Vertical profiles measured in AER-D campaign. Columns are height above MSL z (km), zonal wind speed u (m/s), meridional wind speed v (m/s), potential temperature theta (K), water vapor mixing ratio r (g/kg) as labeled in the header.
Sharing/Access information
Links to other publicly accessible locations of the data:
- Not applicable.
Data was derived from the following sources:
- Large-eddy simulations (see paper & description above).
- AER-D data (described in Ryder, 2021) can be obtained from the Center for Environmental Data Archive at https://catalogue.ceda.ac.uk/uuid/d7e02c75191a4515a28a208c8a069e70.
- SALTRACE sounding data can be obtained as described in Rittmeister et al. 2017.