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

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Saturated hydraulic conductivity model computed from bimodal water retention curves for a range of New Zealand soils
Joseph Alexander Paul Pollacco, Trevor Webb, Stephen McNeill, Wei Hu, Sam Carrick, Allan Hewitt, and Linda Lilburne
Hydrol. Earth Syst. Sci., 21, 2725–2737,,, 2017
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Technical note: Multiple wavelet coherence for untangling scale-specific and localized multivariate relationships in geosciences
Wei Hu and Bing Cheng Si
Hydrol. Earth Syst. Sci., 20, 3183–3191,,, 2016
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Estimating spatially distributed soil water content at small watershed scales based on decomposition of temporal anomaly and time stability analysis
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Soil water content evaluation considering time-invariant spatial pattern and space-variant temporal change
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Hydrol. Earth Syst. Sci. Discuss.,,, 2013
Revised manuscript not accepted

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Cited articles

Abramovich, F. and Benjamini, Y.: Adaptive thresholding of wavelet coefficients, Comput. Stat. Data Anal., 22, 351–361, 1996. 
Aloui, C., Hkiri, B., Hammoudeh, S., and Shahbaz, M.: A multiple and partial wavelet analysis of the oil price, inflation, exchange rate, and economic growth nexus in Saudi Arabia, Emerg. Mark. Finance Trade, 54, 935–956, 2018. 
Altarturi, B. H. M., Alshammari, A. A., Saiti, B., and Erol, T.: A three-way analysis of the relationship between the USD value and the prices of oil and gold: A wavelet analysis, AIMS Energy, 6, 487–504, 2018. 
Biswas, A. and Si, B. C.: Identifying scale specific controls of soil water storage in a hummocky landscape using wavelet coherency, Geoderma, 165, 50–59, 2011. 
Centeno, L. N., Hu, W., Timm, L. C., She, D. L., Ferreira, A. D., Barros, W. S., Beskow, S., and Caldeira, T. L.: Dominant Control of Macroporosity on Saturated Soil Hydraulic Conductivity at Multiple Scales and Locations Revealed by Wavelet Analyses, J. Soil Sci. Plant Nutr., 20, 1686–1702, 2020. 
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.