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

Viewed

Total article views: 8,271 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
7,255	830	186	8,271	182	233

HTML: 7,255
PDF: 830
XML: 186
Total: 8,271
BibTeX: 182
EndNote: 233

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
Jul 2026	67	33	4	104
Aug 2026	138	22	10	170
Sep 2026	234	51	22	307

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
Jul 2026	67	33	4	104
Aug 2026	138	22	10	170
Sep 2026	234	51	22	307

Viewed (geographical distribution)

Total article views: 8,271 (including HTML, PDF, and XML) Thereof 8,166 with geography defined and 105 with unknown origin.

Country	#	Views	%

1

1

Cited

Saved (final revised paper)

Latest update: 18 Sep 2026

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.