Articles | Volume 15, issue 23
https://doi.org/10.5194/gmd-15-8639-2022
https://doi.org/10.5194/gmd-15-8639-2022
Model description paper
 | 
30 Nov 2022
Model description paper |  | 30 Nov 2022

spyro: a Firedrake-based wave propagation and full-waveform-inversion finite-element solver

Keith J. Roberts, Alexandre Olender, Lucas Franceschini, Robert C. Kirby, Rafael S. Gioria, and Bruno S. Carmo

Related authors

The AWAKEN wind farm benchmark, Part 2: Modeling results
Nicola Bodini, Patrick Moriarty, Regis Thedin, Paula Doubrawa, Cristina Archer, Myra Blaylock, Carlo Bottasso, Bruno Carmo, Lawrence Cheung, Camille Dubreuil, Rogier Floors, Thomas Herges, Daniel Houck, Ali Kanjari, Colleen M. Kaul, Christopher Kelley, Ru LI, Julie K. Lundquist, Desirae Major, Anh Kiet Nguyen, Mike Optis, Luan R. C. Parada, Alfredo Peña, Julian Quick, David Ricarte, William C. Radünz, Raj K. Rai, Oscar Garcia Santiago, Jonas Schulte, Knut S. Seim, M. Paul van der Laan, Kisorthman Vimalakanthan, and Adam Wise
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2026-34,https://doi.org/10.5194/wes-2026-34, 2026
Preprint under review for WES
Short summary
Influence of simple terrain on the spatial variability of a low-level jet and wind farm performance in the AWAKEN field campaign
William C. Radünz, Bruno Carmo, Julie K. Lundquist, Stefano Letizia, Aliza Abraham, Adam S. Wise, Miguel Sanchez Gomez, Nicholas Hamilton, Raj K. Rai, and Pedro S. Peixoto
Wind Energ. Sci., 10, 2365–2393, https://doi.org/10.5194/wes-10-2365-2025,https://doi.org/10.5194/wes-10-2365-2025, 2025
Short summary

Cited articles

Alnæs, M., Blechta, J., Hake, J., Johansson, A., Kehlet, B., Logg, A., Richardson, C., Ring, J., Rognes, M. E., and Wells, G. N.: The FEniCS project version 1.5, Archive of Numerical Software, 3, 100, https://doi.org/10.11588/ans.2015.100.20553, 2015. a, b
Alnæs, M. S., Logg, A., Ølgaard, K. B., Rognes, M. E., and Wells, G. N.: Unified form language, ACM Trans. Math. Softw., 40, 1–37, https://doi.org/10.1145/2566630, 2014. a, b
Aminzadeh, F., Burkhard, N., Long, J., Kunz, T., and Duclos, P.: Three dimensional SEG/EAEG models – an update, The Leading Edge, 15, 131–134, https://doi.org/10.1190/1.1437283, 1996. a
Anquez, P., Pellerin, J., Irakarama, M., Cupillard, P., Lévy, B., and Caumon, G.: Automatic correction and simplification of geological maps and cross-sections for numerical simulations, Cr. Geosci., 351, 48–58, https://doi.org/10.1016/j.crte.2018.12.001, 2019. a, b, c, d, e
Basker, B., Rüger, A., Deng, L., and Jaramillo, H.: Practical considerations and quality control for an FWI workflow, The Leading Edge, 35, 151–156, 2016. a
Download
Short summary
Finite-element methods (FEMs) permit the use of more flexible unstructured meshes but are rarely used in full waveform inversions (FWIs), an iterative process that reconstructs velocity models of earth’s subsurface, due to computational and memory storage costs. To reduce those costs, novel software is presented allowing the use of high-order mass-lumped FEMs on triangular meshes, together with a material-property mesh-adaptation performance-enhancing strategy, enabling its use in FWIs.
Share