56 citations as recorded by crossref.

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7. Climatic influences on Markovian transition matrices for Vancouver daily rainfall occurrence S. Fleming https://doi.org/10.3137/ao.450304
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9. Detection of long-term change in hydroelectric reservoir inflows: Bridging theory and practise S. Fleming & F. Weber https://doi.org/10.1016/j.jhydrol.2012.08.008
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21. Precipitation trend analysis using discrete wavelet transform at the Langat River Basin, Selangor, Malaysia N. Palizdan et al. https://doi.org/10.1007/s00477-016-1261-3
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23. Statistical inference from atmospheric time series: detecting trends and coherent structures A. Gluhovsky https://doi.org/10.5194/npg-18-537-2011
24. Climate Change Trends in a European Coastal Metropolitan Area: Rainfall, Temperature, and Extreme Events (1864–2021) L. Espinosa et al. https://doi.org/10.3390/atmos13121995
25. Forecasting the outbreak of moorland wildfires in the English Peak District K. Albertson et al. https://doi.org/10.1016/j.jenvman.2009.02.011
26. A Hydrologic Data Screening Procedure for Exploring Monotonic Trends and Shifts in Rainfall and Runoff Patterns M. Chu et al. https://doi.org/10.1111/jawr.12149
27. Trends in rainfall extremity and peak flood in Sabarmati River Basin, India P. Makhasana & G. Joshi https://doi.org/10.1016/j.pce.2022.103146
28. A multiscale spatio-temporal framework to regionalize annual precipitation using k-means and self-organizing map technique K. Roushangar & F. Alizadeh https://doi.org/10.1007/s11629-017-4684-5
29. A discrete wavelet spectrum approach for identifying non-monotonic trends in hydroclimate data Y. Sang et al. https://doi.org/10.5194/hess-22-757-2018
30. An extended stochastic harmonic analysis algorithm: Application for dissolved oxygen O. Abdul‐Aziz et al. https://doi.org/10.1029/2006WR005530
31. Reconstructing snowmelt in Idaho’s watershed using historic streamflow records M. Kunkel & J. Pierce https://doi.org/10.1007/s10584-009-9651-x
32. Analysis and prediction of Caspian Sea level pattern anomalies observed by satellite altimetry using autoregressive integrated moving average models M. Imani et al. https://doi.org/10.1007/s12517-013-1048-5
33. Temporal–Spatial Climate Variability in the Headwater Drainage Basins of the Yangtze River and Yellow River, China Y. Sang et al. https://doi.org/10.1175/JCLI-D-12-00523.1
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35. Effect of persistence on the significance of Kendall’s tau as a measure of correlation between natural time series K. Hamed https://doi.org/10.1140/epjst/e2009-01090-x
36. Forecasting of groundwater level fluctuations using ensemble hybrid multi-wavelet neural network-based models R. Barzegar et al. https://doi.org/10.1016/j.scitotenv.2017.04.189
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38. Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008) D. Nalley et al. https://doi.org/10.1016/j.jhydrol.2012.09.049
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40. Multiscale streamflow forecasting using a new Bayesian Model Average based ensemble multi-wavelet Volterra nonlinear method M. Rathinasamy et al. https://doi.org/10.1016/j.jhydrol.2013.09.025
41. Runoff of arid and semi-arid regions simulated and projected by CLM-DTVGM and its multi-scale fluctuations as revealed by EEMD analysis L. Ning et al. https://doi.org/10.1007/s40333-016-0126-4
42. Comparison of methods for non-stationary hydrologic frequency analysis: Case study using annual maximum daily precipitation in Taiwan P. Chen et al. https://doi.org/10.1016/j.jhydrol.2016.12.001
43. Spatial and temporal variability of daily temperature in the Yangtze River Delta, China Y. Sang https://doi.org/10.1016/j.atmosres.2012.04.006
44. Quantifying the place of karst aquifers in the groundwater to surface water continuum: A time series analysis study of storm behavior in Pennsylvania water resources E. Herman et al. https://doi.org/10.1016/j.jhydrol.2009.07.043
45. Testing for Deterministic Trends in Global Sea Surface Temperature S. Barbosa https://doi.org/10.1175/2010JCLI3877.1
46. The use of time series modeling for the determination of rainfall climates of Iran S. Soltani et al. https://doi.org/10.1002/joc.1427
47. Water scarcity in central Chile: the effect of climate and land cover changes on hydrologic resources I. Fuentes et al. https://doi.org/10.1080/02626667.2021.1903475
48. Trend analysis of rainfall in four meteorological subdivisions of southern India using nonparametric methods and discrete wavelet transforms S. Adarsh & M. Janga Reddy https://doi.org/10.1002/joc.4042
49. Impacts of land use land cover on temperature trends over the continental United States: assessment using the North American Regional Reanalysis S. Fall et al. https://doi.org/10.1002/joc.1996
50. Discrete wavelet‐based trend identification in hydrologic time series Y. Sang et al. https://doi.org/10.1002/hyp.9356
51. Comparison of the MK test and EMD method for trend identification in hydrological time series Y. Sang et al. https://doi.org/10.1016/j.jhydrol.2013.12.039
52. The effect of long-range dependence on modelling extremes with the generalised extreme value distribution H. Rust https://doi.org/10.1140/epjst/e2009-01092-8
53. Trend detection in surface air temperature in Ontario and Quebec, Canada during 1967–2006 using the discrete wavelet transform D. Nalley et al. https://doi.org/10.1016/j.atmosres.2013.06.011
54. A multiyear concentration and flux-based O3 risk assessment of winter wheat in China: Trends and drivers X. Yuan et al. https://doi.org/10.1016/j.jhazmat.2026.141771
55. Multimodel Combination by a Bayesian Hierarchical Model: Assessment of Ice Accumulation over the Oceanic Arctic Region M. Kallache et al. https://doi.org/10.1175/2010JCLI3107.1
56. A multiscale time-space approach to analyze and categorize the precipitation fluctuation based on the wavelet transform and information theory concept K. Roushangar et al. https://doi.org/10.2166/nh.2018.143