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Capturing complex star dune dynamics - Repeated highly accurate surveys combining multitemporal 3D topographic measurements and local wind data [Data]

Domaine:

geospatialenvironment and energy

Type de record:

dataset
Créateur:
HerAndHöfBub
Éditeur:
Her
Éditeur:
hei
Hôte:avatar
Morphologies of highly complex star dunes are the result of aeolian dynamics in past and present times. These dynamics reflect climatic conditions and associated forces like sediment availability and vegetation cover as well as feedbacks with adjacent environments. However, an understanding of aeolian dynamics on star dune morphometries is still lacking sufficient detail and their influence for formation and evolution remain unclear. We therefore investigate dynamics of a complex star dune (Erg Chebbi, Morocco), by analyzing wind measurements compared to morphometric changes derived from multitemporal high-accuracy 3D observations during two surveys (October 2018 and February 2020). Using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) measurements and Terrestrial Laser Scanning (TLS), the reaction of a star dune surface to an observed constant unimodal sand-moving wind is presented. TLS point clouds are used for morphometric analysis as well as direct surface change analysis, which relates to sand transport. RTK-GNSS measurements enable the assessment of horizontal crest movement. Observed surface changes lead to the identification of an overall shielding effect, resulting in sand accumulation mainly on luv-sided slopes. Our results point to a self-sustained dune growth, which has not yet been described in such spatial detail. Steep slopes, often found on star dunes around the globe, seem to partly hinder up-slope sand transport. Though a comparatively short observation period, we therefore hypothesize that, besides wind intensity alone, slope angles are more decisive for sand transport than previously assumed. Our methodological approach of combining meteorological data and high-resolution multitemporal 3D elevation models can be used for a monitoring of all dunes forms and contributes to a general understanding of dune dynamics and evolution.

Visit

doi.orgheidata.uni-heidelberg.de

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