Reduction of wind speed and wind erosion risk at the SIGNAL agroforestry site

The dataset contains two kinds of wind-related-data for the site Forst (Lower Lusatia) in the SIGNAL project:
1. Columns (1-5) contain the information on the sampling point location
2. Columns (6-8) are the relative wind speed which is the ratio between wind speed inside the agroforestry system relative to the open field without trees (monoculture). The relative wind speed was simulated with the Large Eddy Simulation model ASAM (All Scale Atmospheric Model, Jähn et al. (2015). The relative wind speed was calculated for three different wind directions (N, NW, W), for a tree height of 5 m and at a height of 0.5 m above ground.
3. Columns (9-11) contain the number of days with potential erosion risk for the reference and agroforestry site. These columns are a combination of measured wind speed data at the Forst monoculture site and the modeled LES data (column 6-8). Potential erosion risk in this dataset is defined as wind speeds above 5m/s at 0.5m height above the ground. In total, the dataset contained 742 days of at least one 30 min maximum wind speed measurement.

Calculating the potential erosion risk at 0.5m height:
step 1. Erosion risk at the monoculture site
The maximum wind speeds at the monoculture site were measured at 3.5m height. By assuming a logarithmic wind profile the 30min maximum wind speeds were converted into maximum wind speeds at 0.5m height. A maximum wind speed larger 5m/s per day is considered as potential erosion risk. The number of days with potential erosion risk was summed.
step 2. Erosion risk at the agroforestry site
The maximum wind speeds from step 1 were multiplied by the relative wind speeds obtained from the LES model for the different wind directions. This results in spatially distributed maximum wind speeds inside the agroforestry system. Each wind speed above 5m/s, is considered as a potential erosion risk event. A maximum wind speed larger 5m/s per day is considered as potential erosion risk. The number of days with potential erosion risk was summed for each measurement point.

Dataset version 1.0