2026-10-12T14:42:39Z https://www.scidb.cn/oai

10.57760/sciencedb.44971 2026-07-31T16:47:55Z

2026-07-31 Near-surface turbulence and intermittency observations and processed data at the Kelameili Station in the Gurbantunggut Desert during winter 2023–2024 doi:10.57760/sciencedb.44971 en This dataset contains near-surface atmospheric turbulence observations and associated processed products collected during the snow-covered winter period at the Kelameili Station in the Gurbantunggut Desert from 1 December 2023 to 29 February 2024. The dataset includes 20 Hz three-dimensional wind velocity and sonic temperature measurements from an eddy-covariance system, high-frequency wind and temperature data converted to TOA5 format using LoggerNet, half-hourly EddyPro flux and binned spectral outputs, and half-hourly observations of air temperature, humidity, wind speed, wind direction, atmospheric pressure, and radiation from a multilayer gradient tower. Derived products include the 2–10 m gradient Richardson number, 30 min turbulence-burst statistics, and datasets matched according to atmospheric stability.The high-frequency wind and temperature records were subjected to physical-range quality control, despiking within consecutive 5 min blocks, and double coordinate rotation. A pointwise high-frequency turbulent kinetic energy proxy was calculated from the three velocity fluctuations. Turbulence bursts were identified when the 5 s moving-average turbulent kinetic energy exceeded the 30 min mean plus two standard deviations. The derived indicators include the burst time fraction, the contribution of bursts to the absolute kinematic heat flux, and the ratio of absolute heat-exchange intensity between burst and non-burst periods. The gradient-tower observations were used to calculate the 2–10 m gradient Richardson number and to classify the records into unstable, weakly stable, moderately stable, and strongly stable conditions.The original high-frequency eddy-covariance and EddyPro records use Urumqi local time (UTC+6), whereas the gradient-tower data retain a Beijing Standard Time field (UTC+8). The datasets were matched using a consistent relationship between half-hourly start and end times. The accompanying Python scripts support reproduction of the stability statistics, velocity spectra, turbulence intermittency characteristics, heat-exchange effects, and representative burst-event analyses reported in the associated study. The dataset provides observational support for studies of stable boundary layers, intermittent turbulence under weak-wind conditions, and land–atmosphere interactions over snow-covered arid surfaces. Gurbantunggut Desert; stable boundary layer; intermittent turbulence; eddy covariance; gradient Richardson number; snow-covered surface 王敏仲 陈永杰 PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank