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Data from: The impact of land surface properties on haboobs and dust lofting

Cite this dataset

Bukowski, Jennie; van den Heever, Susan (2023). Data from: The impact of land surface properties on haboobs and dust lofting [Dataset]. Dryad.


Haboobs are dust storms formed by strong surface winds in convective storm outflow boundaries, or cold pools, which can loft large quantities of mineral dust as they propagate. Both cold pools and the dust they loft are impacted by land surface properties resulting in complex surface interactions on haboobs. As a result of these additional complexities brought about by surface interactions, it is unclear which surface parameters and physical processes are important for predicting haboob intensity and dust concentrations. Here we applied the Morris one-at-a-time (MOAT) global sensitivity statistical method to an ensemble of 120 idealized simulations of daytime and nighttime haboobs to investigate the land surface properties that affect both dust mobilization and cold pool dynamics. MOAT identifies and ranks the importance of different input factors, which for the prediction of haboob strength and dust concentrations are 1) initial cold pool temperature, 2) surface type (vegetation), 3) soil type (clay content), and 4) soil moisture. The underlying physical mechanisms driving these feedbacks were then analyzed using a traditional one-at-a-time factor analysis. Time of day is significant for determining boundary layer height and dissipation via surface fluxes, leading to shallower, more intense cold pools/haboobs at night. Most of the land parameters modify the cold pool through impacts on surface fluxes, while surface type is dominated by roughness length effects. By ranking the importance of these surface factors, we have identified which variables are most sensitive and must be constrained via observations and data assimilation in numerical dust prediction models.


Methods for processing the data: Initial conditions for the input factors were selected with the Morris-one-at-a-Time (MOAT), or Elementary Effects, statistical method with the Sensitivity Analysis For Everybody (SAFE) Toolbox for MATLAB. There is a random component to the generation of MOAT initial conditions, thus they cannot be recreated exactly as they appear in the Simulation Guide.

Usage notes

File formats and the software required to open them:

README_Source_Code.txt – Text file

ERA5_Initial_Conditions.xlsx – Microsoft Excel Workbook

Simulation_Guide.xlsx – Microsoft Excel Workbook

rdint.f90 – Fortran90 code in text file

aero_sources.f90 – Fortran90 code in text file

Namelists – Fortran90 code in text files


Office of Naval Research, Award: N00014-16-1-2040