Matlab and Python software for computing combined Fourier-wavelet spectra: cfw v1.0

A combined Fourier-wavelet (CFW) spectrum is similar to a wavelet spectrum. A wavelet spectrum is derived from 1-D data (usually, time series) to show wave activity that is localized in time, while a CFW spectrum is derived from 2-D data (longitude-time data) to identify planetary-scale waves that are localized in time. A CFW spectrum can be obtained for each of eastward- and westward-propagating wave components with different zonal wavenumbers. Matlab and Python software (cfw v1.0) are created that compute CFW spectra for input data that are evenly gridded in time and longitude.

{"references":["Yamazaki, Y. (2023): A two-step method to derive combined Fourier-wavelet spectra from space-time data for studying planetary-scale waves, and its Matlab and Python software (cfw v1.0). submitted to Geoscientific Model Development (GMD), MS No.: egusphere-2022-1275."]}