Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 23
Articles | Volume 18, issue 23
https://doi.org/10.5194/gmd-18-9605-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-9605-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 23
Model description paper
 | 
04 Dec 2025
Model description paper |  | 04 Dec 2025

PortUrb: a performance portable, high-order, moist atmospheric large eddy simulation model with variable-friction immersed boundaries

Matthew Norman, Muralikrishnan Gopalakrishnan Meena, Kalyan Gottiparthi, Nicholson Koukpaizan, and Stephen Nichols

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Cited articles

Almgren, A., Lattanzi, A., Haque, R., Jha, P., Kosovic, B., Mirocha, J., Perry, B., Quon, E., Sanders, M., Wiersema, D., Willcox, D., Yuan, X., and Zhang, W.: ERF: energy research and forecasting, The Journal of Open Source Software, 8, 5202, https://doi.org/10.21105/joss.05202, 2023. a, b
Bannon, P. R.: On the anelastic approximation for a compressible atmosphere, Journal of the Atmospheric Sciences, 53, 3618–3628, 1996. a
Bronevetsky, G. and De Supinski, B. R.: Complete formal specification of the OpenMP memory model, International Journal of Parallel Programming, 35, 335–392, 2007. a, b
Brown, N., Lepper, A., Weiland, M., Hill, A., Shipway, B., and Maynard, C.: A directive based hybrid met office nerc cloud model, in: Proceedings of the Second Workshop on Accelerator Programming using Directives, 1–8, Association for Computing machinery (ACM), https://doi.org/10.1145/2832105.2832115, 2015. a
Bryan, G. H. and Fritsch, J. M.: A benchmark simulation for moist nonhydrostatic numerical models, Monthly Weather Review, 130, 2917–2928, 2002. a
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A new code, portUrb, is described and validated. portUrb is an atmospheric simulation code for turbulent boundary layers including flow through urban areas. The model is coded with an emphasis on robustness, simplicity, readability, portable performance on Graphics Processing Units (GPUs), and rapid prototyping of surrogate models through an ensemble capability where many different configurations can be run simultaneously to explore parameter choices.
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