A wavelet-based approach to streamflow event identification and modeled timing error evaluation
Erin Towler and James L. McCreight
Model code and software
WRF-Hydro® v5.1.1D. Gochis, M. Barlage, R. Cabell, A. Dugger, A. Fanfarillo, K. FitzGerald, M. McAllister, J. McCreight, A. RafieeiNasab, L. Read, N. Frazier, D. Johnson, J. D. Mattern, L. Karsten, T. J. Mills, and B. Fersch https://doi.org/10.5281/zenodo.3625238
NCAR/rwrfhydro: wavelet timing tag (Version v1.0.1)J. L. McCreight, T. J. Mills, A. Rafieeinasab, K. FitzGerald, L. Reads, C. Hoover, D. W. Johnson, E. Towler, Y.-F. Huang, A. Dugger, and J. Nowosad https://doi.org/10.5281/zenodo.4746607
We present a wavelet-based approach to quantify streamflow timing errors for model evaluation and development. We demonstrate the method using real and simulated stream discharge data from several locations. We show how results can be used to identify potential hydrologic processes contributing to the timing errors. Furthermore, we illustrate how the method can document model performance by comparing timing errors across versions of the National Water Model.
We present a wavelet-based approach to quantify streamflow timing errors for model evaluation...