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Synoptic Analysis and WRF-Chem Model Simulation of Dust Events in the Southwestern United States

Publication ,  Journal Article
Dhital, S; Webb, NP; Chappell, A; Kaplan, ML; Nauman, TW; Tyree, G; Duniway, MC; Edwards, B; LeGrand, SL; Letcher, TW; McKenzie Skiles, S ...
Published in: Journal of Geophysical Research: Atmospheres
July 16, 2024

Dust transported from rangelands of the Southwestern United States (US) to mountain snowpack in the Upper Colorado River Basin during spring (March-May) forces earlier and faster snowmelt, which creates problems for water resources and agriculture. To better understand the drivers of dust events, we investigated large-scale meteorology responsible for organizing two Southwest US dust events from two different dominant geographic locations: (a) the Colorado Plateau and (b) the northern Chihuahuan Desert. High-resolution Weather Research and Forecasting coupled with Chemistry model (WRF-Chem) simulations with the Air Force Weather Agency dust emission scheme incorporating a MODIS albedo-based drag-partition was used to explore land surface-atmosphere interactions driving two dust events. We identified commonalities in their meteorological setups. The meteorological analyses revealed that Polar and Sub-tropical jet stream interaction was a common upper-level meteorological feature before each of the two dust events. When the two jet streams merged, a strong northeast-directed pressure gradient upstream and over the source areas resulted in strong near-surface winds, which lifted available dust into the atmosphere. Concurrently, a strong mid-tropospheric flow developed over the dust source areas, which transported dust to the San Juan Mountains and southern Colorado snowpack. The WRF-Chem simulations reproduced both dust events, indicating that the simulations represented the dust sources that contributed to dust-on-snow events reasonably well. The representativeness of the simulated dust emission and transport in different geographic and meteorological conditions with our use of albedo-based drag partition provides a basis for additional dust-on-snow simulations to assess the hydrologic impact in the Southwest US.

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Published In

Journal of Geophysical Research: Atmospheres

DOI

EISSN

2169-8996

ISSN

2169-897X

Publication Date

July 16, 2024

Volume

129

Issue

13

Related Subject Headings

  • 3702 Climate change science
  • 3701 Atmospheric sciences
  • 0406 Physical Geography and Environmental Geoscience
  • 0401 Atmospheric Sciences
 

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MLA
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Dhital, S., Webb, N. P., Chappell, A., Kaplan, M. L., Nauman, T. W., Tyree, G., … Cai, J. (2024). Synoptic Analysis and WRF-Chem Model Simulation of Dust Events in the Southwestern United States. Journal of Geophysical Research: Atmospheres, 129(13). https://doi.org/10.1029/2023JD040650
Dhital, S., N. P. Webb, A. Chappell, M. L. Kaplan, T. W. Nauman, G. Tyree, M. C. Duniway, et al. “Synoptic Analysis and WRF-Chem Model Simulation of Dust Events in the Southwestern United States.” Journal of Geophysical Research: Atmospheres 129, no. 13 (July 16, 2024). https://doi.org/10.1029/2023JD040650.
Dhital S, Webb NP, Chappell A, Kaplan ML, Nauman TW, Tyree G, et al. Synoptic Analysis and WRF-Chem Model Simulation of Dust Events in the Southwestern United States. Journal of Geophysical Research: Atmospheres. 2024 Jul 16;129(13).
Dhital, S., et al. “Synoptic Analysis and WRF-Chem Model Simulation of Dust Events in the Southwestern United States.” Journal of Geophysical Research: Atmospheres, vol. 129, no. 13, July 2024. Scopus, doi:10.1029/2023JD040650.
Dhital S, Webb NP, Chappell A, Kaplan ML, Nauman TW, Tyree G, Duniway MC, Edwards B, LeGrand SL, Letcher TW, McKenzie Skiles S, Naple P, Chaney NW, Cai J. Synoptic Analysis and WRF-Chem Model Simulation of Dust Events in the Southwestern United States. Journal of Geophysical Research: Atmospheres. 2024 Jul 16;129(13).

Published In

Journal of Geophysical Research: Atmospheres

DOI

EISSN

2169-8996

ISSN

2169-897X

Publication Date

July 16, 2024

Volume

129

Issue

13

Related Subject Headings

  • 3702 Climate change science
  • 3701 Atmospheric sciences
  • 0406 Physical Geography and Environmental Geoscience
  • 0401 Atmospheric Sciences