Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, China; Department of Biological and Agricultural Engineering, Zachry Department of Civil Engineering, Texas A and M University, 321 Scoates Hall, 2117 TAMU, College Station, TX, United States; State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan, China
Recommended Citation:
Sang Y,-F,, Sun F,et al. A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data[J]. Hydrology and Earth System Sciences,2018-01-01,22(1)