References for CWRA National Conference 2024 Poster #23
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[b] Gnann, S. J., Coxon, G., Woods, R. A., Howden, N. J., & McMillan, H. K. (2021). TOSSH: A toolbox for streamflow signatures in hydrology. Environmental Modelling & Software, 138, 104983. https://doi.org/10.1016/j.envsoft.2021.104983�
[c] Gupta, H. V., Kling, H., Yilmaz, K. K., & Martinez, G. F. (2009). Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling. Journal of Hydrology, 377 (1), 80–91. https://doi.org/10.1016/j.jhydrol.2009.08.003�
[d] Kiraz, M., Coxon, G., & Wagener, T. (2023). A signature-based hydrologic efficiency metric for model calibration and evaluation in gauged and ungauged catchments. Water Resources Research, 59 (11), e2023WR035321. https://doi.org/10.1029/2023WR035321�
[e] Knoben, W. J. M., Freer, J. E., Fowler, K. J. A., Peel, M. C., & Woods, R. A. (2019). Modular assessment of rainfall–runoff models toolbox (MARRMoT) v1.2: An open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations. Geoscientific Model Development, 12 (6), 2463–2480. https://doi.org/10.5194/gmd-12-2463-2019�
[f] Knoben, W. J. M., Woods, R. A., & Freer, J. E. (2018). A quantitative hydrological climate classification evaluated with independent streamflow data. Water Resources Research, 54 (7), 5088–5109. https://doi.org/10.1029/2018WR022913�
[g] Kratzert, F., Nearing, G., Addor, N., Erickson, T., Gauch, M., Gilon, O., Gudmundsson, L., Hassidim, A., Klotz, D., Nevo, S., Shalev, G., & Matias, Y. (2023). Caravan - a global community dataset for large-sample hydrology. Scientific Data, 10 (1), 61. https://doi.org/10.1038/s41597-023-01975-w�
[h] Nash, J., & Sutcliffe, J. (1970). River flow forecasting through conceptual models part i — a discussion of principles. Journal of Hydrology, 10 (3), 282–290. https://doi.org/10.1016/0022-1694(70)90255-6�
[i] Pool, S., Vis, M., & Seibert, J. (2018). Evaluating model performance: Towards a non-parametric variant of the kling-gupta efficiency. Hydrological Sciences Journal, 63 (13), 1941–1953. https://doi.org/10.1080/02626667.2018.1552002�
[j] Schwemmle, R., Demand, D., & Weiler, M. (2021). Technical note: Diagnostic efficiency – specific evaluation of model performance. Hydrology and Earth System Sciences, 25 (4), 2187–2198. https://doi.org/10.5194/hess-25-2187-2021�
[k] Trotter, L., Knoben, W. J. M., Fowler, K. J. A., Saft, M., & Peel, M. C. (2022). Modular assessment of rainfall–runoff models toolbox (MARRMoT) v2.1: An object-oriented implementation of 47 established hydrological models for improved speed and readability. Geoscientific Model Development, 15 (16), 6359–6369. https://doi.org/10.5194/gmd-15-6359-2022
