Python Turbulence Detection Algorithm (PyTDA)(MFS-33237-1)

environmental science earth air space exoplanet
Python Turbulence Detection Algorithm (PyTDA)
PyTDA, an MSFC-based implementation of the National Center for Atmospheric Research (NCAR) Turbulence Detection Algorithm (NTDA), can be used for convective-scale analysis, situational awareness, and forensic meteorology. The software provides Python functions that will estimate turbulence from Doppler radar data. It is written in the Python programming language.
Software Details

Environmental Science (Earth, Air, Space, Exoplanet)
Reference Number
Release Type
Open Source
Operating System
Mac, Linux, and Windows
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Marshall Space Flight Center
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