the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Cartino2D: Scalable and Automated 2D Shallow Water Rainfall-Flood Inundation Modeling up to Very High Resolution for Large Domains
Abstract. While 2D shallow water models with rainfall and infiltration provide a physically consistent framework for flood inundation modeling, their automated application at large scales remains constrained by challenges related to unstructured mesh generation, parameter specifications, and the integration of heterogeneous geospatial and hydrological datasets. This study presents Cartino 2D (C2D), a novel automated framework that enables the large-scale deployment of the well-established Telemac2D model, for solving the complete 2D shallow water equations, with flexible, spatially distributed hydrological forcing—either from rainfall fields or discharge hydrographs. C2D features topography-aware unstructured mesh generation, optional automated handling of hydraulic structures, and spatial parameter estimation from diverse datasets, including land use. It supports multi-resolution simulations up to very high (metric) resolutions and includes optional automated flow analysis at user-defined transects. The framework also features an automatic subdomain sectorization step, based on preliminary simulations on a regular grid, to delineate hydrologically-hydraulically consistent regions and inform targeted unstructured meshing procedures. The framework is successfully applied at the national scale across France, using 100-year return rainfall and discharge values from the SHYREG database, as well as at very high resolution in the complex metropolitan area such as the Aix-Marseille Provence or Grabels City, demonstrating both scalability and robustness. Model outputs are evaluated using flood marks and firefighter intervention records, showing encouraging hydrological and hydraulic consistency. This advancement opens new opportunities for large-scale flood hazard pre-assessment in France and can be transposed to other countries using global and/or national data. Future work will focus on improving culvert representation, testing alternative infiltration models, and extending the framework for model parameter optimization, coastal flooding and real-time applications.
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Status: open (until 24 Mar 2026)
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CEC1: 'Comment on egusphere-2025-3333 - No compliance with the policy of the journal', Juan Antonio Añel, 11 Feb 2026
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CC1: 'Reply on CEC1', Frédéric Pons, 13 Feb 2026
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Dear Juan A. Añel,
Thank you for your message and for bringing these important compliance points to our attention. We have carefully reviewed your comments and are committed to addressing them in full to ensure our manuscript aligns with Geoscientific Model Development’s Code and Data Policy. Below, we provide detailed responses and propose specific corrective actions.
A complete version of the Cartino2D source code is already archived in the Zenodo dataset associated with this paper at https://doi.org/10.5281/zenodo.17778609, specifically in the folder "Cartino2D_Github.zip". This reference is cited on line 370 (Pons and Hocini, 2025) and in the “Code and Data Availability” section.
Following your feedback, we propose updating the text in the “Code and Data Availability” section to explicitly mention the inclusion of the source code (which was already available in the Zenodo archive and has been successfully downloaded and used based on recent feedback):
The current text in the Code and Data Availability section reads:
“To facilitate reproducibility, a dataset is provided to run Cartino2D v1.0, available in the GitHub repository above. This dataset includes all input data required to execute Cartino2D (see Section 3), as well as reference outputs for the two cases described in the article (see Figure 3 and Figure 12). These cases cover both a ‘coarse’ 25m resolution and a finer resolution, with an overlap on Grabels areas. The dataset is permanently archived on Zenodo and accessible at https://doi.org/10.5281/zenodo.17778608 (Pons and Hocini, 2025).”
We propose clarifying this to state that the code archive of Cartino2D is available in Zenodo, along with the required data to run it:
“To facilitate reproducibility, the source code and a dataset are provided to run Cartino2D v1.0 in the Zenodo repository (https://doi.org/10.5281/zenodo.17778609). This source code and dataset include all input data required to execute Cartino2D (see Section 3), as well as reference outputs for the two cases described in the article (see Figure 3 and Figure 12). These cases cover both a ‘coarse’ 25m resolution and a finer resolution, with an overlap on Grabels areas. The dataset is permanently archived on Zenodo and accessible at https://doi.org/10.5281/zenodo.17778608 (Pons and Hocini, 2025).”
As already stated in the manuscript:
“The ANTILOPE J+1 product by Météo-France (Champeaux et al., 2009) is a commercial product, and access is restricted to authorized users. An alternative open dataset is available at https://www.data.gouv.fr/datasets/reanalyses-comephore/.”
The link on data.gouv.fr provides equivalent spatial and temporal coverage but does not include the exact commercial data used in our study. For the 6–7 October 2014 event (Grabels case), we have already included one input file for the Telemac2D code in the Zenodo dataset (10.5281/zenodo.17778608). The file name is: Cartino2D_Github/France_Pluie/Grabels/spatial_C0005_861143km_X765440Y6284136_Evts201410061700_08h15min_AMC2_ProjMF_Evt_Anti_15min_J1_MFCerema_2014.txt.
We tested the SHYREG webpage on 13 February 2026 and confirm that it is accessible, though it requires authentication. To ensure full reproducibility, we have already included one input file containing processed statistical SHYREG rainfall data for the Telemac2D code in the Zenodo dataset (10.5281/zenodo.17778608) for the coarse case study: Cartino2D_Github/France_Pluie/EAIM/C6147_733929km_X789149Y6302130/shyreg_spPB_C6147_733929km_X789149Y6302130_T0100_D24_PIC08.txt.
Please let us know if any further clarification or adjustments are needed.
Best regards,
Frédéric Pons and Pierre-André Garambois
Citation: https://doi.org/10.5194/egusphere-2025-3333-CC1 -
CEC2: 'Reply on CC1', Juan Antonio Añel, 13 Feb 2026
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Dear authors,
Thanks for the clarifications. The rewording of the Code and Data Availability section that you propose makes it easier to assess the compliance with the the policy of the journal. It is unfortunate that your work depends on proprietary data that are not widely available and properly stored, but we understand it, and we do not consider a violation of the current policy of the journal. That said, we can consider the current version of your manuscript in compliance with the policy of the journal.
Juan A. Añel
Geosci. Model Dev. Executive Editor
Citation: https://doi.org/10.5194/egusphere-2025-3333-CEC2
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CEC2: 'Reply on CC1', Juan Antonio Añel, 13 Feb 2026
reply
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CC1: 'Reply on CEC1', Frédéric Pons, 13 Feb 2026
reply
Data sets
Dataset for Cartino2D paper Frédéric Pons and Nabil Hocini https://doi.org/10.5281/zenodo.17778609
Model code and software
Cartino2D Frédéric Pons and Nabil Hocini https://github.com/CEREMA/cartino2d
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Dear authors,
Unfortunately, after checking your manuscript, it has come to our attention that it does not comply with our "Code and Data Policy".
https://www.geoscientific-model-development.net/policies/code_and_data_policy.html
First, you have archived almost all of the assets necessary to replicate your work in sites that are not acceptable according to the policy of the journal. They include GitHub and GitLab sites, and several others such as data.gouv.fr and inrae.fr. In some cases, such as for the ANTILOPE J+1 product you state that access is restricted, and when checking it, the information in the web page linked states that the data are open. The https://shyreg.pluie.recover.inrae.fr/ web page does not even work.
Therefore, the current situation with your manuscript is highly irregular. It should have never been accepted for peer-review or Discussions in the journal given these issues. The GMD review and publication process depends on reviewers and community commentators being able to access, during the discussion phase, the code and data on which a manuscript depends, and on ensuring the provenance of replicability of the published papers for years after their publication. Please, therefore, publish all the code and data necessary to replicate your work in one of the appropriate repositories and reply to this comment with the relevant information (link and a permanent identifier for it (e.g. DOI)) as soon as possible. We cannot have manuscripts under discussion that do not comply with our policy.
The 'Code and Data Availability’ section must also be modified to cite the new repository locations, and corresponding references added to the bibliography.
I must note that if you do not fix this problem, we cannot continue with the peer-review process or accept your manuscript for publication in GMD.
Juan A. Añel
Geosci. Model Dev. Executive Editor