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📖 NCL Wavelet functionality #486
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Recommended guide for wavelet analysis: A Practical Guide to Wavelet Analysis by Christopher Torrence and Gilbert P. Compo (1998) Additional resources: |
Calculates the wavelet transform of a time series and significance levels Inputs:
Returns: Three-dimensional array (wave) dimensioned 2 by jtot by N Wave attributes:
Possible Python implementation: PyWavlets |
Pywavlet Relevant Wavelet families:
Additional Wavelet Types:
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wavelets and pycwt are both more direct Python implementation of wavelets from Torrence and Compo that includes wavelets for While both are popular repositories with what appears to be clean implementation, both have either few or no releases, so would need to be re implemented to be compatible with Python 3.9-3.12+ |
Input:
Returns:
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Functionality includes:
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Research existing NCL wavelet functionality, investigate existing python solutions, and make initial recommendations about reimplementation, wrapping, or writing equivalent workflow demonstration material
Relevant material:
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