Toward enhanced capability for detecting and predicting dust events in the western United States: the Arizona case study

Huang, M.; Tong, D.; Lee, P.; Pan, L.; Tang, Y.; Stajner, I.; Pierce, R. B.; McQueen, J.; Wang, J.

doi:10.5194/acp-15-12595-2015

Articles | Volume 15, issue 21

https://doi.org/10.5194/acp-15-12595-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-15-12595-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 15, issue 21

Research article

|

12 Nov 2015

Research article |

| 12 Nov 2015

Toward enhanced capability for detecting and predicting dust events in the western United States: the Arizona case study

M. Huang, D. Tong, P. Lee, L. Pan, Y. Tang, I. Stajner, R. B. Pierce, J. McQueen, and J. Wang

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Month	HTML	PDF	XML	Total
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Oct 2015	20	59	0	79
Nov 2015	113	122	15	250
Dec 2015	36	69	10	115
Jan 2016	43	26	6	75
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Mar 2016	24	21	2	47
Apr 2016	4	12	1	17
May 2016	10	4	0	14
Jun 2016	9	10	3	22
Jul 2016	7	4	4	15
Aug 2016	9	7	0	16
Sep 2016	9	6	0	15
Oct 2016	5	6	1	12
Nov 2016	4	2	0	6
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Jan 2017	12	13	0	25
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May 2017	25	21	0	46
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Dec 2024	9	3	0	12
Jan 2025	16	9	2	27
Feb 2025	24	9	4	37
Mar 2025	17	14	1	32
Apr 2025	20	14	4	38
May 2025	30	14	2	46
Jun 2025	39	9	1	49
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Aug 2025	17	20	0	37
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Oct 2025	16	23	0	39
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Cumulative views and downloads (calculated since 03 Aug 2015)

Month	HTML	PDF	XML	Total
Aug 2015	101	123	11	235
Sep 2015	38	52	4	94
Oct 2015	20	59	0	79
Nov 2015	113	122	15	250
Dec 2015	36	69	10	115
Jan 2016	43	26	6	75
Feb 2016	23	21	5	49
Mar 2016	24	21	2	47
Apr 2016	4	12	1	17
May 2016	10	4	0	14
Jun 2016	9	10	3	22
Jul 2016	7	4	4	15
Aug 2016	9	7	0	16
Sep 2016	9	6	0	15
Oct 2016	5	6	1	12
Nov 2016	4	2	0	6
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Feb 2017	14	11	0	25
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Apr 2017	27	12	0	39
May 2017	25	21	0	46
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Jul 2017	17	6	1	24
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Oct 2023	48	12	1	61
Nov 2023	28	3	0	31
Dec 2023	42	14	2	58
Jan 2024	50	8	1	59
Feb 2024	43	9	0	52
Mar 2024	48	11	2	61
Apr 2024	43	15	2	60
May 2024	20	10	2	32
Jun 2024	21	9	2	32
Jul 2024	25	15	4	44
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Oct 2024	21	6	1	28
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Jan 2025	16	9	2	27
Feb 2025	24	9	4	37
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Apr 2025	20	14	4	38
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Jun 2025	39	9	1	49
Jul 2025	32	17	1	50
Aug 2025	17	20	0	37
Sep 2025	23	14	1	38
Oct 2025	16	23	0	39
Nov 2025	25	14	3	42

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Short summary

We developed Arizona dust records in 2005-2013 using multiple surface and remote sensing observation data sets. The inter-annual variability of dust events was anticorrelated with three drought indicators (PDSI, satellite NDVI and soil moisture), and stronger dust activity was found in the afternoon than in the morning due to stronger winds and drier soil. Impact of a recent dust event accompanied by a stratospheric ozone intrusion was evaluated with various observational and modeling data sets.