Loughborough University
Browse

Local wind regime induced by giant linear dunes: comparison of ERA5-land reanalysis with surface measurements

Download (15.93 MB)
journal contribution
posted on 2022-08-11, 12:27 authored by Cyril Gadal, Pauline Delorme, Clément Narteau, Giles Wiggs, Matthew BaddockMatthew Baddock, Joanna Nield, Philippe Claudin

Emergence and growth of sand dunes results from the dynamic interaction between topography, wind flow and sediment transport. While feedbacks between these variables are well studied at the scale of a single and relatively small dune, the average effect of a periodic large-scale dune pattern on atmospheric flows remains poorly constrained, due to a pressing lack of data in major sand seas. Here, we compare local measurements of surface winds to the predictions of the ERA5-Land climate reanalysis at four locations in Namibia, both within and outside the giant linear dune field of the Namib Sand Sea. In the desert plains to the north of the sand sea, observations and predictions agree well. This is also the case in the interdune areas of the sand sea during the day. During the night, however, an additional wind component aligned with the giant dune orientation is measured, in contrast to the easterly wind predicted by the ERA5-Land reanalysis. For the given dune orientation and measured wind regime, we link theobserved wind deviation (over 50°) to the daily cycle of the turbulent atmospheric boundary layer. During the night, a shallow boundary layer induces a flow confinement above the giant dunes, resulting in large flow deviations, especially for the slower easterly winds. During the day, the feedback of the giant dunes on the atmospheric flow is much weaker due to the thicker boundary layer and higher wind speeds. Finally, we propose that the confinement mechanism and the associated wind deflections induced by giant dunes could explain the development of smaller-scale secondary dunes, which elongate obliquely in the interdune areas of the primary dune pattern.

Funding

John Fell Oxford University Press (OUP) Research Fund (121/474)

National Geographic (CP-029R-17)

NSFGEO-NERC: The Origin of Aeolian Dunes (TOAD)

Natural Environment Research Council

Find out more...

DO4models- Dust Observations for models: Linking a new dust source-area data set to improved physically-based dust emission schemes in climate models

Natural Environment Research Council

Find out more...

Southampton Marine and Maritime Institute SMMI EPSRC-GCRF UK

Southampton Marine and Maritime Institute SMMI EPSRC-GCRF UK), along with research permits (1978/2014, 2140/2016, 2304/2017, 2308/2017, RPIV00022018, RPIV0052018, RPIV00230218)

Laboratoire d’Excellence UnivEarthS Grant ANR-10-LABX-0023

Initiative d’Excellence Université de Paris Grant ANR-18-IDEX-0001

French National Research Agency Grants ANR-17-CE01-0014/SONO

Moisture and density of sand as new variables in the numerical model of sand transport and dune morphodynamics

National Science Center

Find out more...

History

School

  • Social Sciences and Humanities

Department

  • Geography and Environment

Published in

Boundary-Layer Meteorology

Volume

185

Issue

3

Pages

309-332

Publisher

Springer

Version

  • AM (Accepted Manuscript)

Rights holder

© The Author(s), under exclusive licence to Springer Nature B.V.

Publisher statement

This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10546-022-00733-6

Acceptance date

2022-07-17

Publication date

2022-08-27

Copyright date

2022

ISSN

0006-8314

eISSN

1573-1472

Language

  • en

Depositor

Dr Matthew Baddock. Deposit date: 10 August 2022

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC