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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|
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|
|Publisher Link: ||https://doi.org/10.1029/2018jf004713|
|Appears in Collections:||Closed Access (Geography and Environment)|
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