Aeolian dune field self-organization – implications for the formation of simple versus complex dune-field patterns

Kocurek, Gary; Ewing, R. C.

doi:10.1016/j.geomorph.2005.05.005

Cited by 202 publications

(163 citation statements)

References 23 publications

Supporting

Mentioning

153

Contrasting

Unclassified

Order By: Relevance

“…Thus g > 90°produces longitudinal or oblique bed forms. This result was initially based on experiments in air [Rubin and Hunter, 1987] and water [Rubin and Ikeda, 1990], and has been reproduced in subsequent numerical simulations of bed form development [Werner, 1995;Nishimori et al, 1998;Kocurek and Ewing, 2005].…”

Section: Application Of Mgbnt To Combined Flowsmentioning

confidence: 89%

Bed forms created by simulated waves and currents in a large flume

et al. 2007

View full text Add to dashboard Cite

[1] The morphology and evolution of bed forms created by combinations of waves and currents were investigated using an oscillating plate in a 4-m-wide flume. Current speed ranged from 0 to 30 cm/s, maximum oscillatory velocity ranged from 20 to 48 cm/s, oscillation period was 8 s (except for one run with 12 s period), and the median grain size was 0.27 mm. The angle between oscillations and current was 90°, 60°, or 45°. At the end of each run the sand bed was photographed and ripple dimensions were measured. Ripple wavelength was also determined from sonar images collected throughout the runs. Increasing the ratio of current to wave (i.e., oscillatory) velocity decreased ripple height and wavelength, in part because of the increased fluid excursion during the wave period. Increasing the ratio of current to waves, or decreasing the angle between current and waves, increased the three-dimensionality of bed forms. During the runs, ripple wavelength increased by a factor of about 2. The average number of wave periods for evolution of ripple wavelength to 90% of its final value was 184 for two-dimensional ripples starting from a flat bed. Bed form orientations at the end of each run were compared to four potential controlling factors: the directions of waves, current, maximum instantaneous bed shear stress, and maximum gross bed form normal transport (MGBNT). The directions of waves and of MGBNT were equally good predictors of bed form orientations, and were significantly better than the other two factors.

show abstract

Section: Application Of Mgbnt To Combined Flowsmentioning

confidence: 89%

Bed forms created by simulated waves and currents in a large flume

et al. 2007

View full text Add to dashboard Cite

show abstract

“…An appraisal of dune fields as emergent self-organizing complex systems (Werner, 1995(Werner, , 1999(Werner, , 2003Kocurek, 1997, 1999;Kocurek and Ewing, 2005) expanded interest in resolving dune field patterns and pattern controls, with RS and SA providing the geospatial backbone for these investigations. Ewing et al (2006) provided the first comprehensive example using measurements of digitized points and lines representing dune positions at four dune fields (White Sands, New Mexico, USA; Algodones, California, USA; Agneitir, Mauritania; Namib, Namibia).…”

Section: Metrics Of Dune Field Patternmentioning

confidence: 99%

“…Beginning with images from the early 1970s, remote sensing (RS) has revealed a rich diversity of dune field patterns on Earth, Mars, Venus, and Titan. The synoptic perspective provided by remote sensing imagery has, however, only recently stimulated a shift away from the singledune studies popularized in the 1980s and 1990s (Livingstone et al, 2007) towards dune field-scale studies that incorporate spatial analysis (SA) of boundary conditions, dune activity, dune patterns and hierarchies, and dune-dune relations (e.g., Tsoar and Blumberg, 2002;Hugenholtz and Wolfe, 2005a;Kocurek and Ewing, 2005;Mitasova et al, 2005;Ewing et al, 2006;Bishop, 2007;Wilkins and Ford, 2007;Ewing and Kocurek, 2010a,b;Hugenholtz and Barchyn, 2010;Kocurek et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Advances in computer hardware and software throughout the 1990s facilitated a shift in study to the reflectance characteristics of dune surfaces (Paisley et al, 1991;Lancaster et al, 1992;Tsoar and Karnieli, 1996;Walden and White, 1997;White et al, 1997;Blumberg, 1998;Pease et al, 1999) and innovative approaches for quantifying historical changes in dune activity (Anthonsen et al, 1996;Brown and Arbogast, 1999). In the last decade, additional progress has been made in the quantitative analysis of dune morphodynamics Vermeesch and Drake, 2008;Bourke et al, 2009;Necsoiu et al, 2009) and dune field pattern analysis (Kocurek and Ewing, 2005;Ewing et al, 2006;Bishop, 2007;Wilkins and Ford, 2007;Mason et al, 2008;Bishop, 2010;Ewing and Kocurek, 2010a,b;Hugenholtz and Barchyn, 2010;Kocurek et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Remote sensing and spatial analysis of aeolian sand dunes: A review and outlook

Hugenholtz

Levin

Barchyn

et al. 2012

Earth-Science Reviews

172

View full text Add to dashboard Cite

“…4). These superimposed dunes developed over the lee slope of the main dune where these were suffi ciently large to host them (Kocurek and Ewing, 2005) and due to sec ondary airflows over the lee slope of the main aeolian dlll1e (e.g. Clemmensen and Blakey, 1989;Rodriguez-L6pez et al, 2008).…”

Section: Discussionmentioning

confidence: 99%