ABLES Turbulence MOST Flux–Variance Scaling Relationships Dataset

README – ABLES Turbulence MOST Flux–Variance Scaling Relationships Dataset Dataset File: dataset_ABLES_Turbulence_MOST_Flux–Variance Scaling Relationships.txtSource: ABLES-MOST field campaign (Atmospheric Boundary Layer Experimental Study – Micrometeorological Observational and Scaling Techniques)Temporal Coverage: 2024-04-15 to 2025-08-29(Beijing Time)Temporal Resolution: 30 minutesMeasurement Height: 7.3 m (constant) Description:This dataset contains eddy-covariance and turbulence statistics collected during the ABLES-MOST campaign, focusing on flux–variance scaling relationships in the atmospheric surface layer. The data are suitable for studies on surface-layer turbulence, similarity theory, boundary-layer parameterization, and land–atmosphere interaction. Variables (in column order):1. TIMESTAMP - Time of observation (YYYY-MM-DD HH:MM:SS, Beijing Time)2. uv - Covariance of longitudinal wind velocity and lateral wind velocity (m² s⁻²)3. uw - Covariance of longitudinal wind velocity and vertical wind velocity (m² s⁻²)4. vw - Covariance of lateral wind velocity and vertical wind velocity (m² s⁻²)5. sigma_u - Standard deviation of longitudinal wind velocity (m s⁻¹)6. sigma_v - Standard deviation of lateral wind velocity (m s⁻¹)7. sigma_w - Standard deviation of vertical wind velocity (m s⁻¹)8. uT - Covariance of longitudinal wind velocity and temperature (m °C s⁻¹)9. vT - Covariance of lateral wind velocity and temperature (m °C s⁻¹)10. wT - Covariance of vertical wind velocity and temperature (m °C s⁻¹)11. sigma_T - Standard deviation of temperature (°C)12. uCO2 - Covariance of longitudinal wind velocity and carbon dioxide (CO₂) concentration (m mg s⁻¹ m⁻³)13. vCO2 - Covariance of lateral wind velocity and carbon dioxide (CO₂) concentration (m mg s⁻¹ m⁻³)14. wCO2 - Covariance of vertical wind velocity and carbon dioxide (CO₂) concentration (m mg s⁻¹ m⁻³)15. sigma_CO2 - Standard deviation of carbon dioxide (CO₂) concentration (mg m⁻³)16. uH2O - Covariance of longitudinal wind velocity and water vapor (H₂O) concentration (m g s⁻¹ m⁻³)17. vH2O - Covariance of lateral wind velocity and water vapor (H₂O) concentration (m g s⁻¹ m⁻³)18. wH2O - Covariance of vertical wind velocity and water vapor (H₂O) concentration (m g s⁻¹ m⁻³)19. sigma_H2O - Standard deviation of water vapor (H₂O) concentration (g m⁻³)20. sta_uw - Steady state parameter of uw covariance (dimensionless)21. sta_wT - Steady state parameter of wT covariance (dimensionless)22. sta_wCO2 - Steady state parameter of wCO2 covariance (dimensionless)23. sta_wH2O - Steady state parameter of wH2O covariance (dimensionless) Notes:- The dataset is provided as tab-separated values with a header row, recording turbulence-related covariance, standard deviation, and steady state parameters.- Missing values are marked as "NaN"; users are advised to perform quality control and screening based on turbulence statistics (e.g., stationarity, data consistency) before analysis.- Covariance variables reflect the linear correlation and interaction intensity between wind velocity components (longitudinal, lateral, vertical) and scalars (temperature, CO₂, H₂O), while standard deviation variables characterize the dispersion degree of each physical quantity.- Steady state parameters (sta_* series) are dimensionless indicators for evaluating the stability of corresponding covariance measurements, with values typically set to 1 for valid steady-state observations.- For detailed sensor specifications, calibration processes, and data processing algorithms, please refer to the relevant turbulence observation campaign documentation or academic publications. Suggested Applications:- Verification and improvement of flux-variance scaling relationships in Monin–Obukhov Similarity Theory (MOST)- Analysis of turbulent momentum, sensible heat, latent heat, and CO₂ flux transfer processes- Research on the interaction between atmospheric boundary layer turbulence and scalar transport- Validation and parameterization optimization of boundary layer turbulence models Contact:For questions regarding the dataset, please contact:Keyu ZhangInstitute of Atmospheric [e-mail] Version: 1.0Release Date: March 4, 2026