Data Services Products: EMC-ADAMA Africa's crustal architecture inferred from probabilistic and perturbational inversion of ambient noise: ADAMA

Summary

ADAMA is a shear wave velocity model complemented with a taxonomic map of Africa. The model is derived from probabilistically constructed phase and group velocity measurements of ambient noise Rayleigh and Love waves. The taxonomy is a result of machine learning evaluation of the similarities of vertical velocity profiles across the continent.

Description

Name ADAMA
Title Africa’s crustal architecture inferred from probabilistic and perturbational inversion of ambient noise: ADAMA
Type 3-D Tomography Earth Model and Taxonomy
Sub Type Shear Wave Velocity (km/s)
Year 2024
Data Revision r0.0 (revision history)
 
Short Description   ADAMA is a shear wave velocity model complemented with a taxonomic map of Africa. The model is derived from probabilistically constructed phase and group velocity measurements of ambient noise Rayleigh and Love waves. The taxonomy is a result of machine learning evaluation of the similarities of vertical velocity profiles across the continent.
 
Authors: Tolulope Olugboji, Department of Earth and Environmental Sciences, Department of Electrical and Computer Engineering, and Georgen Institute of Data Sciences, University of Rochester, Rochester, NY, USA

Siyu Xue, Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY, USA

Jean-Joel Legre, Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY, USA

Yuri Tamama, Department of Geosciences, Princeton University, Princeton, NJ, USA,
Seismological Laboratory, California Institute of Technology, Pasadena, CA, USA

 
Reference Model Our velocity model is constrained from perturbational inversion of our dispersion maps starting from the Litho 1.0 global velocity model. The global velocity model is updated using our dispersion maps, constructed with a Transdimensional Hierarchical Bayesian Inversion.
 
Prior Model None
 
Model Download ADAMA.r0.0.nc (see metadata) is the model in netCDF 3 Classic format.
ADAMA_Dispersion_maps_and_statistics.r0.0.nc (see metadata) contains ADAMA dispersion maps and statistics in netCDF 3 Classic format.
 
Model Home Page None
 
Depth Coverage 0.5 to 42.5 km
 
Area Africa (latitude: -34° to 40°, longitude: -23° to 57°)
 
Data Set Description ADAMA is from the recently published catalog of continent-wide inter-station dispersion measurements provided by (Olugboji & Xue, 2022). This is a large catalog of Love and Rayleigh wave phase and group dispersion measurements. It represents the following advances: (a) it is a large distribution of short period dispersion measurements: ∼114,000 interstation pairs at periods between 5 and 40 s, (b) it includes uncertainties, and© it is extracted from cross-spectra of continuous recordings of ambient noise ground vibrations, collected over four decades, since the commencement of digital seismometry on the continent.
 
 

Adama Slices
Horizontal slices through the updated shear-velocity model of Africa’s crust. Recovered shear velocity at (a) Crustal depth of 10-km compared to Litho1.0 (b) Crustal depth of 20-km and compared to Litho1.0© Crustal depth of 30-km (d) Moho and Sub-crustal depth of 40 km. All horizontal slices through the starting model of Litho 1.0 are taken at the same depth as the new updated model. For a spatial accounting of locations where ADAMA and Litho1.0 differ see Figure S6 in Supporting Information S1 (Olugboji et. al, 2024).

Citations and DOIs

To cite the original work behind this Earth model:

  • Olugboji, T. , Xue, S. , Legre, J.-J. , & Tamama, Y. (2024). Africa’s crustal architecture inferred from probabilistic and perturbational inversion of ambient noise: ADAMA. Geochemistry, Geophysics, Geosystems, 25, e2023GC011086. https://doi.org/https://doi.org/10.1029/2023GC011086

To cite IRIS DMC Data Products effort:

  • Trabant, C., A. R. Hutko, M. Bahavar, R. Karstens, T. Ahern, and R. Aster (2012), Data Products at the IRIS DMC: Stepping Stones for Research and Other Applications, Seismological Research Letters, 83(5), 846–854, https://doi.org/10.1785/0220120032.

DOI for this EMC webpage: https://doi.org/10.17611/dp/emc.2024.adama.1

References

  • Olugboji, T., & Xue, S. (2022). A short-period surface-wave dispersion dataset for model assessment of Africa’s crust: ADAMA. Bulletin of the Seismological Society of America, 93(3), 1943–1959. https://doi.org/https://doi.org/10.1785/0220210355

Credits

  • r0.0 model provided by Jean-Joel Legre.

Revision History

revision r0.0: uploaded July 18, 2024.

Timeline

2024-07-22
r0.0 online

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