A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data

• Published in: Hydrology and earth system sciences Vol. 22; no. 1; pp. 757 - 766
• Main Authors: Sang, Yan-Fang, Sun, Fubao, Singh, Vijay P., Xie, Ping, Sun, Jian
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 26.01.2018; Copernicus Publications
• Subjects: Annual temperatures; Climate science; Discrete Wavelet Transform; Evaporation; Evaporation rate; Hydroclimate; Hydrology; Identification; Methods; Potential evaporation; Stations; Temperature; Time series; Trends; Wavelet analysis; Wavelet transforms; Weather forecasting; China

The hydroclimatic process is changing non-monotonically and identifying its trends is a great challenge. Building on the discrete wavelet transform theory, we developed a discrete wavelet spectrum (DWS) approach for identifying non-monotonic trends in hydroclimate time series and evaluating their st...