19 May 2021
Research article | 19 May 2021
A wavelet-based approach to streamflow event identification and modeled timing error evaluation
Erin Towler and James L. McCreight
Related subject area
Subject: Rivers and Lakes | Techniques and Approaches: Mathematical applicationsGRAINet: mapping grain size distributions in river beds from UAV images with convolutional neural networksHydrodynamic and environmental characteristics of a tributary bay influenced by backwater jacking and intrusions from a main reservoirAutomatic identification of alternating morphological units in river channels using wavelet analysis and ridge extractionStream temperature and discharge evolution in Switzerland over the last 50 years: annual and seasonal behaviour
Hydrol. Earth Syst. Sci., 25, 2567–2597,2021
Hydrol. Earth Syst. Sci., 24, 5057–5076,2020
Hydrol. Earth Syst. Sci., 24, 3513–3537,2020
Hydrol. Earth Syst. Sci., 24, 115–142,2020
Bogner, K. and Kalas, M.: Error-correction methods and evaluation of an ensemble based hydrological forecasting system for the Upper Danube catchment, Atmos. Sci. Lett., 9, 95–102, https://doi.org/10.1002/asl.180, 2008.
Bogner, K. and Pappenberger, F.: Multiscale error analysis, correction, and predictive uncertainty estimation in a flood forecasting system, Water Resour. Res., 47, W07524, https://doi.org/10.1029/2010WR009137, 2011.
Coles, S.: An Introduction to Statistical Modeling of Extreme Values, in: Springer Ser. Stat., Springer, London, 2001.
Daubechies, I.: The wavelet transform time-frequency localization and signal analysis, IEEE Trans. Inform. Theory, 36, 961–1004, 1990.
Ehret, U. and Zehe, E.: Series distance-an intuitive metric to quantify hydrograph similarity in terms of occurrence, amplitude and timing of hydrological events, Hydrol. Earth Syst. Sci., 15, 877–896, https://doi.org/10.5194/hess-15-877-2011, 2011.