This dataset contains a global climatology of low-level jets and its main characteristics published in Eduardo Weide Luiz, Stephanie Fiedler. Global climatology of low-level-jets: occurrence, characteristics, and meteorological drivers. ESS Open Archive . November 08, 2023, DOI: 10.22541/essoar.169945233.35476430/v1
Each yearly tar file contains daily netcdf data with the variables and criteria:
To detect a low-level jet different criteria can be used. There, two options are available:
- Shear between the jet core and the minimum above it (we used <-0.005/s). Variable ShearV.
- Difference between the jet core and the minimum above it (we used > 2m/s). Variable diffmxmin.
Note: The jet core was defined as the maximum wind speed in the first 1000 meters. The minimum was calculated in the next 500m above the jet core.
Other stability variables are also available. In some papers they can also be used as criteria for jet detection.
- Virtual potential temperature gradient in the first 100 m. Variable VPT.
- Richardson number between surface and the jet core. Variable RI.
- The top part of the Richardson number definition, i.e. VPT gradient below the jet core. Variable RIu.
- The bottom part of the Richardson number definition, i.e. squared wind speed gradient between surface and the jet core. Variable RId.
- The same three Richardson number definitions but for the 100m bellow the jet core. Variables RI*m100.
Some characteristics of the jet core:
- Height. Variable hmax.
- u wind component. Variable umax.
- v wind component. Variable vmax.
Some characteristics about the wind closest to 100m.
- Height level closest to 100m. Variable h100.
- u wind component. Variable u100.
- v wind component. Variable v100.