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:https://doi.org/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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Final revised paper (published on 12 Nov 2015)
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Preprint (discussion started on 03 Aug 2015)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC C6505: 'Fantastic Material with Better Summarization', Janae Csavina, 02 Sep 2015
RC C6801: 'A Review of: “Toward Enhanced Capability for Detecting and Predicting Dust Events in the Western United States: The Arizona Case Study”', William Sprigg, 13 Sep 2015
AC C8627: 'response to the reviews', Min Huang, 28 Oct 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Min Huang on behalf of the Authors (28 Oct 2015) Author's response Manuscript

ED: Publish as is (29 Oct 2015) by Armin Sorooshian

AR by Min Huang on behalf of the Authors (29 Oct 2015) Author's response Manuscript

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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.