Preprints
https://doi.org/10.5194/essd-2021-241
https://doi.org/10.5194/essd-2021-241

  23 Aug 2021

23 Aug 2021

Review status: this preprint is currently under review for the journal ESSD.

High frequency observation during the sand and dust storms in the Qingtu Lake Observatory

Xuebo Li1, Yongxiang Huang2,3,4,5, Guohua Wang1, and Xiaojing Zheng1 Xuebo Li et al.
  • 1Department of Mechanics, Center for Particle-Laden Turbulence, Lanzhou University, Lanzhou 730000, People’s Republic of China
  • 2State Key Laboratory of Marine Environmental Science & College of Ocean and Earth Sciences, Xiamen University, Xiamen, China
  • 3Fujian Engineering Research Center for Ocean Remote Sensing Big data, Xiamen, China
  • 4SJTU SMSE-Mingguang Joint Research Center for Advanced Palygoskite Materials, Mingguang, China
  • 5Southern Marine Science and Engineering Guangdong Lab (Zhuhai), Zhuhai, China

Abstract. Partially due to the global climate change, the sand and dust storms (SDS) occurred more and more frequently, yet a detailed measurement of the SDS event at different heights is still lacking. Here we provide a high frequency observation in the Qingtu Lake Observation Array (QLOA), China. The wind and dust information were measured simultaneously at different wall-normal heights during the SDS process. The datasets span the period from 17 March to 9 June 2016. The wind speed and direction are recorded by a sonic anemometer with a sampling frequency 50 Hz, while the particulate matter 10 (PM10) is sampled simultaneously by a dust monitor with a sampling frequency 1 Hz. The wall-normal array had 11 sonics and monitors spaced logarithmically from z = 0.9 to 30 m, where the spacing is about 2-meter between the sonic anemometer and dust monitor at the same height. Based on its non-stationary feature, the SDS event can be divided into three stages, i.e., ascending, stabilizing and descending stages, in which the dynamic mechanism of the wind and dust fields might be different. This is preliminarily characterized via the classical Fourier power analysis. Temporal evolution of the scaling exponent from Fourier power analysis suggests slightly below the classical Kolmogorov value of −5/3 for the three-dimensional homogeneous and isotropic turbulence. During the stabilizing stage, the collected PM10 shows a very intermittent pattern, which can be further linked with the burst events in the turbulent atmospheric boundary layer. This dataset is valuable for a better understanding the SDS dynamics, which has being publicly available at Zenodo through the DOI 10.5281/zenodo.5034196 (Li et al., 2021a).

Xuebo Li et al.

Status: open (until 18 Oct 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-241', Anonymous Referee #1, 15 Sep 2021 reply
    • AC1: 'Reply on RC1', Xuebo Li, 16 Sep 2021 reply
  • RC2: 'Comment on essd-2021-241', Anonymous Referee #2, 24 Sep 2021 reply

Xuebo Li et al.

Data sets

High frequency observation during the sand and dust storms in the Qingtu Lake Observatory Li, Xuebo; Huang, Yongxiang; Wang, Guohua; Zheng, Xiaojing https://doi.org/10.5281/zenodo.5034196

Xuebo Li et al.

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Short summary
The high-frequency observatory data (50 Hz 3D wind velocity, 50 Hz temperature, and 1 Hz PM10) for studying the features of fluid and dust filed during sand and dust storms were presented. It is anticipated that the data collected in this work will be of specific utility for the boundary layer community to build the model about sand and dust storm, but also more broadly for communities studying the exchange of dust and fluid field, and energy transfer for the particle-laden two-phase flow.