Energy Dissipation Rate calculation algorithm for tethered balloon-borne turbulence observations during MOSAiC Legs 1, 2, and 3
The energy dissipation rate calculation algorithm is an algorithm to derive local energy dissipation rates from high-resolution wind velocity records. The algorithm is based on inertial subrange scaling and it uses the second-order structure function. First, the algorithm calculates the second order...
| Main Authors: | , , |
|---|---|
| Format: | Software |
| Language: | English |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://zenodo.org/record/8116420 https://doi.org/10.5281/zenodo.8116420 |
| Summary: | The energy dissipation rate calculation algorithm is an algorithm to derive local energy dissipation rates from high-resolution wind velocity records. The algorithm is based on inertial subrange scaling and it uses the second-order structure function. First, the algorithm calculates the second order structure function for different inertial subranges. As a next step, the inertial subrange with the scaling coefficient closest to 2/3 is chosen to derive the local energy dissipation rate for the sub-record. If the scaling coefficient is not within the accepted range, the energy dissipation rate is set to "not a number". The algorithm is written in python and needs input data sets. The energy dissipation rate calculation algorithm was developed for tethered balloon-borne turbulence measurements of a hot-wire anemometer package operated during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. A detailed description of the data set, the turbulence probe and the methods can be found in Akansu et al. (in preparation, Scientific Data). We gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 268020496 – TRR 172, within the Transregional Collaborative Research Center "ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC)3 " in sub-project A02. The code is developed for data that was produced as part of the international Multidisciplinary drifting Observatory for the Study of the Arctic Climate (MOSAiC) with the tag MOSAiC20192020 and the Project_ID: AWI_PS122_01, AWI_PS122_02, AWI_PS122_03. |
|---|