Zooming in: SCREAM at 100&thinsp;m using regional refinement  over the San Francisco Bay Area

Zhang, Jishi; Bogenschutz, Peter; Taylor, Mark; Cameron-Smith, Philip

doi:10.5194/gmd-19-795-2026

Articles | Volume 19, issue 2

https://doi.org/10.5194/gmd-19-795-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-19-795-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 2

Model description paper

|

26 Jan 2026

Model description paper |

| 26 Jan 2026

Zooming in: SCREAM at 100 m using regional refinement over the San Francisco Bay Area

Jishi Zhang, Peter Bogenschutz, Mark Taylor, and Philip Cameron-Smith

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Jun 2025	354	50	14	418
Jul 2025	152	12	8	172
Aug 2025	934	22	0	956
Sep 2025	3,596	36	12	3,644
Oct 2025	176	26	10	212
Nov 2025	50	30	8	88
Dec 2025	42	42	10	94
Jan 2026	250	117	20	387
Feb 2026	476	154	6	636
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May 2026	270	73	15	358
Jun 2026	36	18	5	59

Cumulative views and downloads (calculated since 06 Jun 2025)

Month	HTML	PDF	XML	Total
Jun 2025	354	50	14	418
Jul 2025	152	12	8	172
Aug 2025	934	22	0	956
Sep 2025	3,596	36	12	3,644
Oct 2025	176	26	10	212
Nov 2025	50	30	8	88
Dec 2025	42	42	10	94
Jan 2026	250	117	20	387
Feb 2026	476	154	6	636
Mar 2026	252	61	9	322
Apr 2026	228	83	33	344
May 2026	270	73	15	358
Jun 2026	36	18	5	59

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Short summary

We pushed a global cloud-resolving model to a novel 100 m setup over the San Francisco Bay Area using a regionally refined mesh. The model captured fine-scale air motions over complex terrain and coastal regions at large-eddy scales with comprehensive global modeling configuration, enabled by scale-aware turbulence parameterization. Performance tests demonstrated that graphics processing unit (GPU) acceleration make such high-resolution simulations feasible within practical timeframes.