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.
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.
the Creative Commons Attribution 4.0 License.
Technical Note: Improved partial wavelet coherency for understanding scale-specific and localized bivariate relationships in geosciences
The New Zealand Institute for Plant and Food Research Limited, Private Bag 4704, Christchurch 8140, New Zealand
University of Saskatchewan, Department of Soil Science, Saskatoon, SK S7N 5A8, Canada
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Latest update: 22 Nov 2024
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.
Partial wavelet coherency method is improved to explore the bivariate relationships at different...