{"references": ["Sang, Y. F. (2012). A practical guide to discrete wavelet decomposition of hydrologic time series. Water resources management, 26(11), 3345-3365.", "Sang, Y. F., Sun, F., Singh, V. P., Xie, P., & Sun, J. (2018). A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data. Hydrology and Earth System Sciences, 22(1), 757-766.", "Sang, Y. F., Sivakumar, B., & Zhu, Y. (2021). Uniform discrete wavelet spectrum for detection of hydrologic variability at multiple timescales. Journal of Hydro-environment Research, 35, 31-37.", "Takaya, K., & Nakamura, H. (2001). A formulation of a phase-independent wave-activity flux for stationary and migratory quasigeostrophic eddies on a zonally varying basic flow. Journal of the Atmospheric Sciences, 58(6), 608-627.", "Terink, W., Lutz, A. F., Simons, G. W. H., Immerzeel, W. W., & Droogers, P. (2015). SPHY v2. 0: Spatial processes in hydrology. Geoscientific Model Development, 8(7), 2009-2034."]}

(1) The uniform discrete wavelet spectrum (UDWS) method can be used to identify and evaluate spatiotemporal of hydroclimatic variability. (2) The wave activity flux (WAF) can be used to measure the horizonal propagation of the quasi-stationary Rossby waves. (3) The Spatial Processes in Hydrology (SPHY) model is a fully distributed, high-resolution cryosphere-hydrological model, including all important hydro-cryospheric processes, and can operate at flexible spatial scales (sub-basin, basin, and regional).