Evaluating the effectiveness of anisotropy in the quantification of turbulent transport in the atmospheric boundary layer

Anisotropy, derived from the Reynolds stress tensor, is closely related to turbulent energy and transport, and can be quantified using two parameters: xB and yB. Using the Hilbert-Huang transform method, the scale-dependent properties of anisotropy in observational data from multiple observational sites with different underlying surfaces and stratification conditions are investigated. The mean yB-xB trajectories in the barycentric map are visualized as curves cluster with respect to the scale of motions. Specifically, xB increases from 0.4 to 0.9, while yB initially increases with the scale of motions from 0.5 to 0.7, before decreasing to 0. Trajectories in individual cases that deviate from this pattern help distinguish non-turbulent motions and reconstruct the turbulence data. This reveals an overestimation of turbulent fluxes by approximately 30% to 80%. Furthe..., To investigate the effectiveness of anisotropy in reflecting characteristics of atmospheric turbulence, the data are selected from multiple observational sites across different underlying surfaces and in different seasons.
The 255-m meteorological tower in Tianjin is located in the PBL Meteorological Observation Station, Tianjin Meteorological Administration, which is representative of the typical urban landscape with profound anthropogenic influences. The turbulent data from sonic anemometers (CSAT-3, Campbell Scientific, Inc., Logan, UT, USA) are acquired from the meteorological tower at 80m orienting towards East, which can provide the three-dimensional wind speed and the sonic temperature data. The fast-response observation of gases are conducted with the Open Path CO2/H2O Analyzer (LI-7500, LI-COR, Inc., Lincoln, NE, USA) installed at 80m, providing density time series of CO2 and water vapor. The sampling frequencies of the instruments above are all 10 Hz. There are also obser..., , # Evaluating the Effectiveness of Anisotropy in the Quantification of Turbulent Transport in Atmospheric Boundary Layer

[https://doi.org/10.5061/dryad.c866t1gh6](https://doi.org/10.5061/dryad.c866t1gh6)

## Description of the data and file structure

To investigate the effectiveness of anisotropy in reflecting characteristics of atmospheric turbulence, the data are selected from multiple observational sites across different underlying surfaces and in different seasons.

### Files and variables

#### File: Statistics.zip

**Description:** the csv and mat files that can be loaded into statistical software, containing basic statistics of atmospheric turbulence, such as the mean wind speed ([m+1s-1]), turbulent momentum flux ([kg+1m-1s-2]), and the variance of variables.

Naming convention:

`[location of the observational site]_[height of the instrument].csv`

e.g., 'tianjin_80m.csv' records the statistics of the data from the Tianjin observational station at the height of 80m.

For the c...,