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Surface and Meteorological Data of Ripple and Saltation Dynamics at Medano Creek Area, Great Sand Dunes National Park, Colorado, USA on 5-11th April 2022

Dataset title Surface and Meteorological Data of Ripple and Saltation Dynamics at Medano Creek Area, Great Sand Dunes National Park, Colorado, USA on 5-11th April 2022
Dataset creators Joanna M. Nield, University of Southampton
Matthew C. Baddock, Loughborough University
Giles F.S. Wiggs, University of Oxford
Pauline Delorme, University of Hull
Andrew Valdez, Great Sand Dunes National Park and Preserve
Natasha Wallum, University of Oxford
Daniel Goss, University of Southampton
Dataset theme Geoscientific Information
Dataset abstract

This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for dry rippled and moist sandy surfaces in the Medano Creek area at Great Sand Dunes National Park, Colorado, USA. As well as the TLS data, additional measurements of the wind speed through a CSAT 3D sonic anemometer and sediment transport using a Sensit and Wenglor fork sensors.
Dataset content dates 05/04/22 to 11/04/22
Dataset spatial coverage Medano Creek Area, Great Sand Dunes National Park, Colorado, USA

Local coordinates orientated to wind direction,
sites located around 37.7455, -105.5146
Dataset supply format txt, xlsx
Dataset language English-United Kingdom
Dataset discovery metadata record Discovery Link to the dataset's BGS Discovery Metadata record
Dataset publisher NERC EDS National Geoscience Data Centre
Dataset publication date 11/10/2023
Dataset digital object identifier (DOI) 10.5285/738dc233-3bd7-4174-aa98-8c33fc35f344
Dataset citation text Nield, J.M., Baddock, M.C., Wiggs, G.F.S., Delorme, P., Valdez, A., Wallum, N., Goss, D. (2023). Surface and Meteorological Data of Ripple and Saltation Dynamics at Medano Creek Area, Great Sand Dunes National Park, Colorado, USA on 5-11th April 2022. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/738dc233-3bd7-4174-aa98-8c33fc35f344
Constraints and terms of use This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]".
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