Articles | Volume 15, issue 21
Geosci. Model Dev., 15, 8001–8039, 2022
https://doi.org/10.5194/gmd-15-8001-2022
Geosci. Model Dev., 15, 8001–8039, 2022
https://doi.org/10.5194/gmd-15-8001-2022
Model description paper
07 Nov 2022
Model description paper | 07 Nov 2022

Cyclone generation Algorithm including a THERmodynamic module for Integrated National damage Assessment (CATHERINA 1.0) compatible with Coupled Model Intercomparison Project (CMIP) climate data

Théo Le Guenedal et al.

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Cited articles

Arthur, W. C.: A statistical–parametric model of tropical cyclones for hazard assessment, Nat. Hazards Earth Syst. Sci., 21, 893–916, https://doi.org/10.5194/nhess-21-893-2021, 2021. a
Aznar-Siguan, G. and Bresch, D. N.: CLIMADA v1: a global weather and climate risk assessment platform, Geosci. Model Dev., 12, 3085–3097, https://doi.org/10.5194/gmd-12-3085-2019, 2019. a
Bakkensen, L. A. and Mendelsohn, R. O.: Global tropical cyclone damages and fatalities under climate change: An updated assessment, in: Hurricane Risk, Springer, 179–197, https://doi.org/10.1007/978-3-030-02402-4_9, 2019. a, b
Bister, M. and Emanuel, K. A.: Low frequency variability of tropical cyclone potential intensity 1. Interannual to interdecadal variability, J. Geophys. Res.-Atmos., 107, ACL 26–1–ACL 26–15, https://doi.org/10.1029/2001JD000776, 2002. a, b
Bloemendaal, N., Haigh, I. D., de Moel, H., Muis, S., Haarsma, R. J., and Aerts, J. C.: Generation of a global synthetic tropical cyclone hazard dataset using STORM, Sci. Data, 7, 1–12, 2020. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q
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The CATHERINA model produces simulations of cyclone-related annualized damage costs at a country level from climate data and open-source socioeconomic indicators. The framework couples statistical and physical modeling of tropical cyclones to bridge the gap between general circulation and integrated assessment models providing a precise description of tropical-cyclone-related damages.