Where does the dust deposited over the Sierra Nevada snow come from?

Huang, Huilin; Qian, Yun; Liu, Ye; He, Cenlin; Zheng, Jianyu; Zhang, Zhibo; Gkikas, Antonis

doi:https://doi.org/10.5194/acp-22-15469-2022

Articles | Volume 22, issue 23

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Articles | Volume 22, issue 23

https://doi.org/10.5194/acp-22-15469-2022

Articles | Volume 22, issue 23

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Research article

07 Dec 2022

Research article |

| 07 Dec 2022

Where does the dust deposited over the Sierra Nevada snow come from?

Huilin Huang, Yun Qian, Ye Liu, Cenlin He, Jianyu Zheng, Zhibo Zhang, and Antonis Gkikas

Huilin Huang

CORRESPONDING AUTHOR

huilin.huang@pnnl.gov

https://orcid.org/0000-0002-7328-6738

Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA

Yun Qian

CORRESPONDING AUTHOR

yun.qian@pnnl.gov

Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA

Ye Liu

https://orcid.org/0000-0001-5131-8412

Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA

Cenlin He

https://orcid.org/0000-0002-7367-2815

Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA

Jianyu Zheng

https://orcid.org/0000-0003-3886-7913

Department of Physics, University of Maryland Baltimore County, Baltimore, MD, USA

Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD, USA

Zhibo Zhang

https://orcid.org/0000-0001-9491-1654

Department of Physics, University of Maryland Baltimore County, Baltimore, MD, USA

Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD, USA

Antonis Gkikas

https://orcid.org/0000-0002-4137-0724

Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece

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BibTeX: 34
EndNote: 48

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Total article views: 1,499 (including HTML, PDF, and XML)

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1,167	297	35	1,499	70	31	41

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PDF: 297
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Total: 1,499
Supplement: 70
BibTeX: 31
EndNote: 41

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Month	HTML	PDF	XML	Total
Dec 2022	395	30	6	431
Jan 2023	53	24	0	77
Feb 2023	33	14	0	47
Mar 2023	46	11	1	58
Apr 2023	23	9	0	32
May 2023	21	7	0	28
Jun 2023	30	6	1	37
Jul 2023	34	5	0	39
Aug 2023	23	15	1	39
Sep 2023	27	15	2	44
Oct 2023	19	8	2	29
Nov 2023	19	9	0	28
Dec 2023	28	16	2	46
Jan 2024	27	5	0	32
Feb 2024	24	5	0	29
Mar 2024	23	20	1	44
Apr 2024	31	11	3	45
May 2024	31	6	3	40
Jun 2024	63	10	2	75
Jul 2024	20	5	2	27
Aug 2024	27	11	2	40
Sep 2024	35	5	0	40
Oct 2024	31	6	0	37
Nov 2024	16	3	1	20
Dec 2024	17	7	0	24
Jan 2025	26	9	4	39
Feb 2025	19	9	1	29
Mar 2025	26	16	1	43

Cumulative views and downloads (calculated since 07 Dec 2022)

Month	HTML	PDF	XML	Total
Dec 2022	395	30	6	431
Jan 2023	53	24	0	77
Feb 2023	33	14	0	47
Mar 2023	46	11	1	58
Apr 2023	23	9	0	32
May 2023	21	7	0	28
Jun 2023	30	6	1	37
Jul 2023	34	5	0	39
Aug 2023	23	15	1	39
Sep 2023	27	15	2	44
Oct 2023	19	8	2	29
Nov 2023	19	9	0	28
Dec 2023	28	16	2	46
Jan 2024	27	5	0	32
Feb 2024	24	5	0	29
Mar 2024	23	20	1	44
Apr 2024	31	11	3	45
May 2024	31	6	3	40
Jun 2024	63	10	2	75
Jul 2024	20	5	2	27
Aug 2024	27	11	2	40
Sep 2024	35	5	0	40
Oct 2024	31	6	0	37
Nov 2024	16	3	1	20
Dec 2024	17	7	0	24
Jan 2025	26	9	4	39
Feb 2025	19	9	1	29
Mar 2025	26	16	1	43

Total article views: 468 (including HTML, PDF, and XML)

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330	125	13	468	3	7

HTML: 330
PDF: 125
XML: 13
Total: 468
BibTeX: 3
EndNote: 7

Views and downloads (calculated since 06 Jul 2022)

Month	HTML	PDF	XML	Total
Dec 2022	395	30	6	431
Jan 2023	53	24	0	77
Feb 2023	33	14	0	47
Mar 2023	46	11	1	58
Apr 2023	23	9	0	32
May 2023	21	7	0	28
Jun 2023	30	6	1	37
Jul 2023	34	5	0	39
Aug 2023	23	15	1	39
Sep 2023	27	15	2	44
Oct 2023	19	8	2	29
Nov 2023	19	9	0	28
Dec 2023	28	16	2	46
Jan 2024	27	5	0	32
Feb 2024	24	5	0	29
Mar 2024	23	20	1	44
Apr 2024	31	11	3	45
May 2024	31	6	3	40
Jun 2024	63	10	2	75
Jul 2024	20	5	2	27
Aug 2024	27	11	2	40
Sep 2024	35	5	0	40
Oct 2024	31	6	0	37
Nov 2024	16	3	1	20
Dec 2024	17	7	0	24
Jan 2025	26	9	4	39
Feb 2025	19	9	1	29
Mar 2025	26	16	1	43

Cumulative views and downloads (calculated since 06 Jul 2022)

Month	HTML	PDF	XML	Total
Dec 2022	395	30	6	431
Jan 2023	53	24	0	77
Feb 2023	33	14	0	47
Mar 2023	46	11	1	58
Apr 2023	23	9	0	32
May 2023	21	7	0	28
Jun 2023	30	6	1	37
Jul 2023	34	5	0	39
Aug 2023	23	15	1	39
Sep 2023	27	15	2	44
Oct 2023	19	8	2	29
Nov 2023	19	9	0	28
Dec 2023	28	16	2	46
Jan 2024	27	5	0	32
Feb 2024	24	5	0	29
Mar 2024	23	20	1	44
Apr 2024	31	11	3	45
May 2024	31	6	3	40
Jun 2024	63	10	2	75
Jul 2024	20	5	2	27
Aug 2024	27	11	2	40
Sep 2024	35	5	0	40
Oct 2024	31	6	0	37
Nov 2024	16	3	1	20
Dec 2024	17	7	0	24
Jan 2025	26	9	4	39
Feb 2025	19	9	1	29
Mar 2025	26	16	1	43

Viewed (geographical distribution)

Show all Final revised paper only Preprint only

Total article views: 1,967 (including HTML, PDF, and XML) Thereof 1,967 with geography defined and 0 with unknown origin.

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Total article views: 468 (including HTML, PDF, and XML) Thereof 421 with geography defined and 47 with unknown origin.

Country	#	Views	%
United States of America	1	934	47
China	2	285	14
India	3	91	4
Germany	4	77	3
France	5	41	2

Country	#	Views	%
United States of America	1	695	46
China	2	243	16
India	3	87	5
Germany	4	57	3
United Kingdom	5	31	2

Country	#	Views	%
United States of America	1	239	51
China	2	42	8
Germany	3	20	4
France	4	13	2
Greece	5	12	2


Total:	0
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934


Total:	0
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695


Total:	0
HTML:	0
PDF:	0
XML:	0

239

Cited

Show all Final revised paper only Preprint only

8 citations as recorded by crossref.

How do North American weather regimes drive wind energy at the sub-seasonal to seasonal timescales? Y. Liu et al. 10.1038/s41612-023-00403-5
Dust in the Critical Zone: North American case studies J. Brahney et al. 10.1016/j.earscirev.2024.104942
Dust transport pathways from The Great Basin R. Treminio et al. 10.1016/j.aeolia.2024.100958
Linking large-scale weather patterns to observed and modeled turbine hub-height winds offshore of the US West Coast Y. Liu et al. 10.5194/wes-10-483-2025
Spatial, temporal, and meteorological impact of the 26 February 2023 dust storm: increase in particulate matter concentrations across New Mexico and West Texas M. Robinson et al. 10.5194/acp-24-13733-2024
Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations J. Zheng et al. 10.5194/acp-23-8271-2023
Where does the dust deposited over the Sierra Nevada snow come from? H. Huang et al. 10.5194/acp-22-15469-2022
Tracking precipitation features and associated large-scale environments over southeastern Texas Y. Liu et al. 10.5194/acp-24-8165-2024

5 citations as recorded by crossref.

How do North American weather regimes drive wind energy at the sub-seasonal to seasonal timescales? Y. Liu et al. 10.1038/s41612-023-00403-5
Dust in the Critical Zone: North American case studies J. Brahney et al. 10.1016/j.earscirev.2024.104942
Dust transport pathways from The Great Basin R. Treminio et al. 10.1016/j.aeolia.2024.100958
Linking large-scale weather patterns to observed and modeled turbine hub-height winds offshore of the US West Coast Y. Liu et al. 10.5194/wes-10-483-2025
Spatial, temporal, and meteorological impact of the 26 February 2023 dust storm: increase in particulate matter concentrations across New Mexico and West Texas M. Robinson et al. 10.5194/acp-24-13733-2024

3 citations as recorded by crossref.

Thermal infrared dust optical depth and coarse-mode effective diameter over oceans retrieved from collocated MODIS and CALIOP observations J. Zheng et al. 10.5194/acp-23-8271-2023
Where does the dust deposited over the Sierra Nevada snow come from? H. Huang et al. 10.5194/acp-22-15469-2022
Tracking precipitation features and associated large-scale environments over southeastern Texas Y. Liu et al. 10.5194/acp-24-8165-2024

Latest update: 29 Mar 2025

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Short summary

Using a clustering method developed in the field of artificial neural networks, we identify four typical dust transport patterns across the Sierra Nevada, associated with the mesoscale and regional-scale wind circulations. Our results highlight the connection between dust transport and dominant weather patterns, which can be used to understand dust transport in a changing climate.

Using a clustering method developed in the field of artificial neural networks, we identify four...

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