Retrieving land surface aerodynamic properties using MODIS Albedo

Chappell, A. and Guerschman, J. P. and Leys, J. and Handcock, R. and Thomas, D. and Mata, G. and Butler, H. ORCID: and Webb, N. P. (2014) Retrieving land surface aerodynamic properties using MODIS Albedo. In: 8th International Conference on Aeolian Research (ICAR 8), 21-25 Jul 2014, Lanzhou, China.

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Wind erosion and dust emission models are essential to estimate the lateral and vertical fluxes of carbon and nutrients between terrestrial and marine ecosystems and reduce uncertainty about dust radiative forcing of climate models. Wind erosion models approximate the turbulent transfer of momentum by surface roughness elements using roughness density (lateral cover or the frontal area index, Lc). Instead of using the aerodynamic roughness length (z0) Raupach et al. (1993) demonstrated using Marshall's (1971) wind tunnel data how the threshold friction velocity ratio Rt could be estimated as Rt(Lc). However, estimation of Lc over large areas (e.g., continents) is difficult and often approximated using classifications of cover (bare surfaces and vegetation type).
When rough surfaces are exposed to the wind, wakes or areas of flow separation are created downwind of obstacles. These sheltered areas reduce the area of exposed substrate and protect the erodible surface and some of the roughness elements from the wind (depending on their size and spacing). These turbulent wakes have been conceptualised using sheltered areas (Raupach, 1992) and shown to be proportional to shadow (Chappell et al., 2010). We made virtual reconstructions of Marshall's (1971) wind tunnel surfaces and applied a ray-tracer to approximate their directional (at-nadir) hemispherical 'black-sky' albedo ωdir(θ, λ) as a function of waveband (λ) and solar zenith angle (θ) and their diffuse bi-hemispherical 'white-sky' albedo ωdiff(θ). We normalised the albedo ωn=ωdir(θ) / ωdiff such that it would not depend on (or reduce the influence of) the solar spectrum and estimated Rt(ωn) and the friction velocity U*(ωn) without the use of Lc or z0, respectively.
The Moderate Resolution Imaging Spectroradiometer (MODIS) includes a bi-directional reflectance model of surface roughness which provides a direct beam (local solar noon) ωMdir and a diffuse ωMdiff product. Normalising these products (ωMn = ωMdir / ωMdiff) was equivalent to the ray-traced estimates and enabled a global estimate of Rt(ωMn) and U*(ωMn) every 500 m and every 16 days consistently using a single holistic framework of albedo. This approach also unifies the source of aerodynamic roughness in the separate erosivity and erodibility components of wind erosion and dust emission models. We illustrate the information content of these new estimates using several spatial and temporal scales at various locations around Australia prone to wind erosion and dust emission.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Date Deposited: 29 Aug 2016 05:21
Last Modified: 17 Nov 2021 03:57
Fields of Research (2008): 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040607 Surface Processes
05 Environmental Sciences > 0503 Soil Sciences > 050305 Soil Physics
05 Environmental Sciences > 0502 Environmental Science and Management > 050205 Environmental Management
Fields of Research (2020): 37 EARTH SCIENCES > 3709 Physical geography and environmental geoscience > 370901 Geomorphology and earth surface processes
41 ENVIRONMENTAL SCIENCES > 4106 Soil sciences > 410605 Soil physics
41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410404 Environmental management
Socio-Economic Objectives (2008): D Environment > 96 Environment > 9606 Environmental and Natural Resource Evaluation > 960607 Rural Land Evaluation

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