EGU Poster 2012 Flagstaff Edit

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    Derek W.T. Jackson1, Thomas A.G. Smyth1, Mary C. Bourke2 and J. H. Meiring Beyers31Centre for Coastal & Marine Research, School of Environmental Sciences , University of Ulster , Northern Ireland2Planetary Science Institute, Tucson, Arizona, USA 3Klimaat Consulting & Innovation Inc., Guelph, Canada

    .

    High Resolution Computational Fluid Dynamic Modelling of

    Airflow over Dunes in Proctor Crater, Mars.

    Methods

    Introduction

    Derek W.T. Jackson, Thomas A.G. Smyth, Mary C. Bourke and J. H. Meiring Beyers

    Contactd j k @ l t k

    Recent high resolution Hi-RISE images present an opportunity to

    examine the patterns of dune and inter-dune areas inside Proctor

    Crater, Mars. Multiple dune crest and ripple formations are found

    orientated in distinct directions. To date, these have been used to infer

    directional components of the wind regimes present with the boundary

    layer over these features. Using a generated Digital Terrain Surface

    alongside these clearly defined bedform features compels us to

    examine the possible wind flow behaviour that has been responsible for

    geomorphological patterns.

    Multiple length scales are observed showing progressively smaller

    bedform features superimposed on larger dunes, giving rise to complex

    but regular topographical patterns that may be indicative of multi-

    directional (and magnitude) wind regimes. There is therefore a need to

    understand the airflow behaviour at a relevantscale over these features

    to investigate if the formational pattern and orientation of the bedforms

    correspond to localised wind flow forcing.

    Using computational fluid dynamics modelling (OpenFOAM CFD code)

    with a RNG k- solver over a 3-D surface mesh, we present preliminary

    findings within Mars Proctor Crater (Fig. 1) to examine a dunefield area

    of 4.4km x 3.0km, and a computational cell resolution of 5m x 5m.

    Three wind directions were considered; Primary (WSW), Secondary

    (ESE) and Tertiary (ENE) winds (Fig.2). Each simulation had a

    logarithmic inlet with an input of 20ms-1 at 30m from the surface and a

    roughness parameter of 0.05m. Kinematic viscosity was assumed to be

    0.0019 m2/s. Output was presented in the form of surface flow vectors

    (at 0.5 m from the surface) and superimposed over 3-D and Hi-Rise

    imagery to allow direct comparisons with local bedforms. A cross-

    sectional slice of the boundary layer over the dunes was also presented

    to show detached and other flow characteristics under each of the wind

    direction scenarios.

    ResultsIsolating a particular 1km x 1km area (Fig. 2) where three main dune

    ridges are in view and inter-dune trough topography is imaged, results

    reveal a distinct relationship between steered airflow and localised

    bedform orientation, clearly mapping orthogonally onto much of the

    crestal ridges present at multiple scales.

    Wind direction and magnitude

    Under Primary (WSW) winds (Fig. 2 i), flow vectors were strongly

    steered orthogonally against the smaller inter-dune dune ridges in a

    SW orientation, coincident with re-attached flow coming off the main

    dune crests. Winds within the troughs of the main dunes were reduced

    in magnitude by 25-35% from their crestal velocities.

    Under Secondary (ESE) winds (Fig. 2 ii), patterns of flow detachment

    are less evident as wind direction is generally parallel to the main dune

    crests. As a result wind velocity undergoes less of a reduction between

    crest and trough. Under Tertiary flow (Fig. 2 iii) conditions (ENE)

    steered winds inside the dune troughs travelled from a SE to Edirection, and were orthogonal to microdunes (ripples) located on the

    stoss side of the main dunes as well the mesodune ridges inside the

    dune troughs. Steered winds were reduced in magnitude by up to 60%

    compared to crest velocities during tertiary winds.

    Detached and attached flow

    Within the three wind direction scenarios, detached flow was evident in

    the Primary and Tertiary (fig 3 i and iii) simulations only whilst the

    Secondary winds (fig 6 iii) contained largely attached flow only

    behaviour. This has been dictated by the main dunes crestal

    configuration relative to incident wind direction. These detached/un-

    detached flow behaviours in turn induce re-attachment zones or

    maintain attached wind flow which has morphological implications for

    localized ripple and dune migration patterns.

    This work has important implications for the reconstruction of the

    formative winds for aeolian dunes within craters on Mars [1] and can

    help lend further support to studies examining recent activity of Martian

    dune migration[2].

    References:

    [1] Fenton, L.K. et al. (2005) Jour. Geophys. Res. Vol.110,

    doi:10.1029/2004JE002309.

    [2] Bridges, N.T. et al., (2012) Geology, 40, 31-34

    Fig. 1 (a) Location of study site within the main area of Proctor Crater (474126.36S 295453.54E)(b) the northern section of the dune field (c) and the area of the computational domain over which the

    CFD model was run .

    (a) (b) (c)

    Fig. 2 Surface flow vectors at 0.5m elevation overlain ontop of the HiRise imagery for (i) Primary, (ii) Secondary and

    (iii) Tertiary flow directions. Inside the large dune troughsthe crest of smaller bedforms are aligning orthogonally with

    local airflow directional vectors. Note that significant flow

    velocity reduction takes place in the troughs of the largedunes in all directional scenarios. A cross-sectional line in

    annotated on each image and boundary layer slice isshown in Fig.3.

    Fig. 3 Cross-section through the local boundary layer

    during each directional scenario. During Primary winds (i)flow becomes Detached, (ii) secondary winds flow is

    Attachedand with (iii) Tertiary winds the flow is again

    Detached.

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