globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.epsl.2018.05.037
Scopus记录号: 2-s2.0-85048714687
论文题名:
Comparing dune migration measured from remote sensing with sand flux prediction based on weather data and model, a test case in Qatar
作者: Michel S.; Avouac J.-P.; Ayoub F.; Ewing R.C.; Vriend N.; Heggy E.
刊名: Earth and Planetary Science Letters
ISSN: 0012821X
出版年: 2018
卷: 497
起始页码: 12
结束页码: 21
语种: 英语
英文关键词: dunes dynamics ; global circulation model ; planetary geomorphology ; remote sensing ; wind
Scopus关键词: Dynamics ; Meteorology ; Sand ; Shear flow ; Velocity ; Wind ; Global circulation model ; Meteorological station ; Optical remote sensing ; Prediction-based ; Shear velocities ; Wind velocities ; Wind velocity field ; Wind velocity measurement ; Remote sensing ; dune ; eolian process ; general circulation model ; geomorphology ; prediction ; remote sensing ; sand ; weather ; wind field ; Qatar
英文摘要: This study explores validating and calibrating the wind regime predicted by Global Circulation Models (GCM) on Earth and other planets using optical remote sensing of dune dynamics. We use Spot-5 images to track the migration of 64 Barchan dunes in Qatar using the COSI-Corr technique. We estimate the volume of the dunes using a scaling law calibrated from one particular dune, which was surveyed in the field. Using volume and migration rate, we determine the sand flux from a single dune, QDunes, and scale this estimate to the whole dune field. We compare the measured sand flux with those derived from wind velocity measurements at a local meteorological station as well as with those predicted from ERA-Interim (a Global Circulation Model). The comparison revealed that the wind velocity predicted by ERA-Interim is inappropriate to calculate the sand flux. This is due to the 6-h sampling rate and to systematic bias revealed by a comparison with the local wind data. We describe a simple procedure to correct for these effects. With the proposed correction, similar sand flux are predicted using the local and ERA-Interim data, independently of the value of the value of the shear velocity threshold, u⁎t. The predicted sand flux is about 65% of QDunes. The agreement is best assuming the value u⁎t=0.244 m/s, which is only slightly larger than the value of u⁎t=0.2612 m/s estimated based in the sand granulometry measured from field samples. The influence of the dune topography on the wind velocity field could explain the underestimation. In any case, the study demonstrates the possibility of validating GCM model and calibrating aeolian sand transport laws using remote sensing measurements of dune dynamics and highlights the caveats associated to such an approach. © 2018 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/109779
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

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作者单位: California Institute of Technology, Department of Geology and Planetary Sciences, 1200 E California Blvd, Pasadena, CA 91125, United States; University of Cambridge, Department of Earth Sciences, Bullard Laboratories, Madingley Road, Cambridge, Cambridgeshire CB3 0EZ, United Kingdom; Texas A&M University, Department of Geology and Geophysics, 3115 TAMU, College Station, TX 77843, United States; University of Cambridge, Department of Applied Mathematics and Theoretical Physics, Cambridge, Cambridgeshire CB3 0WA, United Kingdom; University of Southern California, Viterbi School of Engineering, 3650 McClintock Ave, Los Angeles, CA 90089, United States; Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr, Pasadena, CA 91109, United States

Recommended Citation:
Michel S.,Avouac J.-P.,Ayoub F.,et al. Comparing dune migration measured from remote sensing with sand flux prediction based on weather data and model, a test case in Qatar[J]. Earth and Planetary Science Letters,2018-01-01,497
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