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Title: Assessing landscape dust emission potential using combined ground‐based measurements and remote sensing data
Authors: Holdt, J.R.C. von
Eckardt, F.D.
Baddock, Matthew C.
Wiggs, Giles F.S.
Issue Date: 2019
Publisher: © American Geophysical Union (AGU)
Citation: HOLDT, J.R.C. VON ... et al., 2019. Assessing landscape dust emission potential using combined ground‐based measurements and remote sensing data. Journal of Geophysical Research: Earth Surface, Doi: 10.1029/2018jf004713
Abstract: Modeled estimates of aeolian dust emission can vary by an order of magnitude due to the spatiotemporal heterogeneity of emissions. To better constrain location and magnitude of emissions, a surface erodibility factor is typically employed in models. Several landscape-scale schemes representing surface dust-emission potential for use in models have recently been proposed, but validation of such schemes has only been attempted indirectly with medium-resolution remote sensing of mineral aerosol loadings and high-resolution land-surface mapping. In this study, we used dust-emission source points identified in Namibia with Landsat imagery together with field-based dust-emission measurements using a Portable In-situ Wind Erosion Laboratory (PI-SWERL) wind tunnel to assess the performance of schemes aiming to represent erodibility in global dust-cycle modeling. From analyses of the surface and samples taken at the time of wind tunnel testing, a Boosted Regression Tree analysis identified the significant factors controlling erodibility based on PI-SWERL dust flux measurements and various surface characteristics, such as soil moisture, particle size, crusting degree and mineralogy. Despite recent attention to improving the characterisation of surface dust-emission potential, our assessment indicates a high level of variability in the measured fluxes within similar geomorphologic classes. This variability poses challenges to dust modelling attempts based on geomorphology and/or spectral-defined classes. Our approach using high-resolution identification of dust sources to guide ground-based testing of emissivity offers a valuable means to help constrain and validate dust-emission schemes. Detailed determination of the relative strength of factors controlling emission can provide further improvement to regional and global dust-cycle modeling.
Description: This paper is in closed access until 4th October 2019.
Sponsor: This research was funded by the National Research Foundation in South Africa as part of research project number: UID 89120.
Version: Accepted for publication
DOI: 10.1029/2018jf004713
URI: https://dspace.lboro.ac.uk/2134/37648
Publisher Link: https://doi.org/10.1029/2018jf004713
ISSN: 2169-9003
Appears in Collections:Closed Access (Geography and Environment)

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