Technical Note: Improved partial wavelet coherency for understanding scale-specific and localized bivariate relationships in geosciences

Hu, Wei; Si, Bing

doi:https://doi.org/10.5194/hess-25-321-2021

Articles | Volume 25, issue 1

https://doi.org/10.5194/hess-25-321-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-25-321-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 1

Technical note

|

19 Jan 2021

Technical note |

| 19 Jan 2021

Technical Note: Improved partial wavelet coherency for understanding scale-specific and localized bivariate relationships in geosciences

Wei Hu and Bing Si

Supplement

https://doi.org/10.5194/hess-25-321-2021-supplement

Model code and software

Matlab code for multiple wavelet coherence and partial wavelet coherency Wei Hu and Bing Si https://doi.org/10.6084/m9.figshare.13031123

Short summary

Partial wavelet coherency method is improved to explore the bivariate relationships at different scales and locations after excluding the effects of other variables. The method was tested with artificial datasets and applied to a measured dataset. Compared with others, this method has the advantages of capturing phase information, dealing with multiple excluding variables, and producing more accurate results. This method can be used in different areas with spatial or temporal datasets.