Preprints
https://doi.org/10.5194/gmd-2021-384
https://doi.org/10.5194/gmd-2021-384
Submitted as: model description paper
02 Dec 2021
Submitted as: model description paper | 02 Dec 2021
Status: a revised version of this preprint is currently under review for the journal GMD.

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

Théo Le Guenedal1, Philippe Drobinski2, and Peter Tankov1 Théo Le Guenedal et al.
  • 1CREST, ENSAE, Institut Polytechnique de Paris, Palaiseau, France
  • 2LMD-IPSL, Ecole Polytechnique, Institut Polytechnique de Paris, ENS, PSL Research University, Sorbonne Université, CNRS, Palaiseau, France

Abstract. Tropical cyclones are responsible for a large share of global damage resulting from natural disasters and estimating cyclone-related damage at a national level is a challenge attracting growing interest in the context of climate change. The global climate models, whose outputs are available from the Coupled Model Intercomparison Project (CMIP), do not resolve tropical cyclones. The Cyclone generation Algorithm including a THERmodynamic module for Integrated National damage Assessment (CATHERINA) presented in this paper, couples statistical and thermodynamic relationships to generate synthetic tracks sensitive to local climate conditions and estimates the damage induced by tropical cyclones at a national level. The framework is designed to be compatible with CMIP models’ data offering a simple solution to resolve tropical cyclones in climate projections. We illustrate it by producing damage projections in Representative Concentration Pathways (RCP) at the global level and for individual countries. The algorithm contains a module to correct biases in climate models based on the distributions of the climate variables in the reanalyses.

Théo Le Guenedal et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-384', Anonymous Referee #1, 13 Jan 2022
    • AC1: 'Reply on RC1', Théo Le Guenedal, 10 Feb 2022
  • RC2: 'Comment on gmd-2021-384', Anonymous Referee #2, 30 Mar 2022
    • AC2: 'Reply on RC2', Théo Le Guenedal, 15 Apr 2022
  • RC3: 'Comment on gmd-2021-384', Anonymous Referee #3, 07 Apr 2022
    • AC3: 'Reply on RC3', Théo Le Guenedal, 15 Apr 2022

Théo Le Guenedal et al.

Model code and software

Cyclone generation Algorithm including a THERmodynamic module for Integrated National damage Assessment (CATHERINA 1.0) Theo Le Guenedal, Philippe Drobinski, Peter Tankov https://doi.org/10.5281/zenodo.5645516

Théo Le Guenedal et al.

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Short summary
The CATHERINA model produces simulations of cyclone-related annualized damage costs at a country level from climate data and open-source socio-economic indicators. The framework couples statistical and physical modeling of tropical cyclones to bridge the gap between climate services, providing the output of climate models and damage and adaptation modeling tools. The model can be applied to climate change adaptation planning or for assessing cyclone related physical risks.