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ARS Home » Plains Area » Las Cruces, New Mexico » Range Management Research » Research » Publications at this Location » Publication #329366
Title: Deducing dust emission mechanisms from field measurements

Author
item KLOSE, MARTINA - New Mexico State University
item WEBB, NICHOLAS - New Mexico State University
item Van Zee, Justin
item COOPER, BRAD - New Mexico State University
item Van Pelt, Robert - Scott
item OKIN, GREGORY - University Of California
item Karl, Jason

Submitted to: International Conference on Aeolian Research
Publication Type: Abstract Only
Publication Acceptance Date: 4/14/2016
Publication Date: 7/4/2016
Citation: Klose, M., Webb, N., Van Zee, J.W., Cooper, B., Van Pelt, R.S., Okin, G., Karl, J.W. 2016. Deducing dust emission mechanisms from field measurements [abstract]. 9th International Conference on Aeolian Research. July 4-8, 2016, Mildura, Australia. Abstract No.163.

Interpretive Summary:

Technical Abstract: Field observations are needed to both develop and test theories on dust emission for use in global modeling systems. The mechanism of dust emission (aerodynamic entrainment, saltation bombardment, aggregate disintegration) and the amount and particle-size distribution of emitted dust may vary under sediment supply- and transport-limited conditions. This complexity, which is caused by heterogeneity of the surface and the atmosphere, cannot be fully captured in either field measurements or models. However, uncertainty in dust emission modeling can be reduced through more detailed observational data on the dust emission mechanism itself. To date, most measurements do not provide enough information to allow for a determination of the mechanisms leading to dust emission and often focus on a small variety of soil and atmospheric settings. Additionally, data sets are often not directly comparable due to different measurement setups. As a consequence, the calibration of dust emission schemes has to rely on a selective set of observations, which leads to an idealization of the emission process in models and thus affects dust budget estimates. Here, we will present preliminary results of a study which aims to decipher the dust emission mechanism from field measurements as an input for future model development. Detailed and standardized field measurements will be conducted, which allow for a differentiation between dust emission mechanisms and for a comparison of dust emission for different surface and atmospheric conditions. Measurements include monitoring of the surface, loose erodible material, transported sediment, and meteorological data, and are conducted in different environmental settings in the southwestern United States.