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期刊论文

Wavelet regression: an approach for undertaking multi-time scale analyses of hydro-climate relationships

Jianhua Xu

MethodsX,2018,5(2018):561-568 | 2018年06月15日 | 10.1016/j.mex.2018.05.005

URL:https://arxiv.org/abs/1806.06194

摘要/描述

Previous studies showed that hydro-climate processes are stochastic and complex systems, and it is difficult to discover the hidden patterns in the all non-stationary data and thoroughly understand the hydro-climate relationships. For the purpose to show multi-time scale responses of a hydrological variable to climate change, we developed an integrated approach by combining wavelet analysis and regression method, which is called wavelet regression (WR). The customization and the advantage of this approach over the existing methods are presented below: (1) The patterns in the data series of a hydrological variable and its related climatic factors are revealed by the wavelet analysis at different time scales. (2) The hydro-climate relationship of each pattern is revealed by the regression method based on the results of wavelet analysis. (3) The advantage of this approach over the existing methods is that the approach provides a routing to discover the hidden patterns in the stochastic and non-stationary data and quantitatively describe the hydro-climate relationships at different time scales.

版权说明:以下全部内容由徐建华上传于   2018年06月26日 20时35分04秒,版权归本人所有。

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