Data for Quantification and classification of grainflow morphology on natural dunes
Creators
- 1. University of Alabama
- 2. University of Arizona
- 3. University of South Carolina
- 4. National University of Ireland Galway
- 5. Xi'an Jiaotong-Liverpool University
Description
Overview:
The attached file, “GrainflowMorphologyCharacteristics.xlsx”, includes the grainflow morphometric attributes used in the article “Quantification and classification of grainflow morphology on natural dunes” by Zhang, Pei; Sherman, Douglas J.; Pelletier, Jon D.; Ellis, Jean T.; Farrell, Eugene J.; Li, Bailiang, published in Earth Surface Processes and Landforms.
Key to variables (unit):
Date: date of data collection at Jericoacoara, Brazil.
Dunes: “S” indicates samples from the smaller dune (21.3 m high), and “L” indicates samples from the larger dune (54.5 m high). Details of the metrics may be found in the associated publication (https://doi.org/10.1002/esp.5348).
\(\bar{l_{g}}\) (m): average length
\(\bar{w_{g}}\) (m): average width
\(r_{t}\) : rectangularity
\(TRI\): triangularity
\(e_{g}\): elongation
Type: classified types
Notes
Files
Files
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Additional details
Related works
- Is supplement to
- Journal article: 10.1002/esp.5348 (DOI)
Funding
- Collaborative Research: Small-Scale Variability in Aeolian Sand Transport 1061335
- National Science Foundation
- Collaborative Research: Small-Scale Variability in Aeolian Sand Transport 1063441
- National Science Foundation