Articles | Volume 28, issue 22
https://doi.org/10.5194/hess-28-5069-2024
https://doi.org/10.5194/hess-28-5069-2024
Research article
 | 
26 Nov 2024
Research article |  | 26 Nov 2024

Novel extensions to the Fisher copula to model flood spatial dependence over North America

Duy Anh Alexandre, Chiranjib Chaudhuri, and Jasmin Gill-Fortin

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Cited articles

Alaya, M. A. B., Zwiers, F., and Zhang, X.: Probable Maximum Precipitation: Its Estimation and Uncertainty Quantification Using Bivariate Extreme Value Analysis, J. Hydrometeorol., 19, 679 – 694, https://doi.org/10.1175/JHM-D-17-0110.1, 2018. a
Allen, G. H., David, C. H., Andreadis, K. M., Hossain, F., and Famiglietti, J. S.: Global Estimates of River Flow Wave Travel Times and Implications for Low-Latency Satellite Data, Geophys. Res. Lett., 45, 7551–7560, https://doi.org/10.1029/2018GL077914, 2018. a
Bates, P. D., Quinn, N., Sampson, C., Smith, A., Wing, O., Sosa, J., Savage, J., Olcese, G., Neal, J., Schumann, G., Giustarini, L., Coxon, G., Porter, J. R., Amodeo, M. F., Chu, Z., Lewis-Gruss, S., Freeman, N. B., Houser, T., Delgado, M., Hamidi, A., Bolliger, I., E. McCusker, K., Emanuel, K., Ferreira, C. M., Khalid, A., Haigh, I. D., Couasnon, A., E. Kopp, R., Hsiang, S., and Krajewski, W. F.: Combined Modeling of US Fluvial, Pluvial, and Coastal Flood Hazard Under Current and Future Climates, Water Resour. Res., 57, e2020WR028673, https://doi.org/10.1029/2020WR028673, 2021. a
Bates, P. D., Savage, J., Wing, O., Quinn, N., Sampson, C., Neal, J., and Smith, A.: A climate-conditioned catastrophe risk model for UK flooding, Nat. Hazards Earth Syst. Sci., 23, 891–908, https://doi.org/10.5194/nhess-23-891-2023, 2023. a
Berghuijs, W. R., Allen, S. T., Harrigan, S., and Kirchner, J. W.: Growing Spatial Scales of Synchronous River Flooding in Europe, Geophys. Res. Lett., 46, 1423–1428, https://doi.org/10.1029/2018GL081883, 2019. a, b
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Short summary
Estimating extreme river discharges at single stations is relatively simple. However, flooding is a spatial phenomenon as rivers are connected. We develop a statistical method to estimate extreme flows with global coverage, accounting for spatial dependence. Using our model, synthetic flood events are simulated with more information than the limited historical events. This event catalog can be used to produce spatially coherent flood depth maps for flood risk assessment.