3.1.1 Upscaled urban flood modeling

Participants: Lilas Bugeau, Carole Delenne, Pascal Finaud-Guyot, Vincent Guinot, Antoine Rousseau.

Collaboration: Brett Sanders [UCI, USA], Sandra Soarez Frazao [UCL, Belgium].

Concerning the physics-driven modeling axis, we will continue to work with porosity models, and more generally with upscaling mechanisms for free surface hydraulics. We know since 21 that each upscaled model is biased, which also eventually distorts downscaling operations. We wish to better identify these biases and take them into account in order to improve both the large-scale simulations (development of new models), and the small-scale ones (downscaling using compensation techniques between large-scale models).

The collaboration with University California Irvine (UCI) started in 2014 with research on the representation of urban anisotropic features in integral porosity models 24. It has led to the development of the Dual Integral Porosity model 22. Ongoing research focuses on improved representations of urban anisotropy in urban flood modeling.

Université Catholique de Louvain (UCL) is one of the few places with experimental facilities allowing for the systematic, detailed validation of porosity models. The collaboration with UCL started in 2005 and is still active.

3.1.2 Large time steps methods for hydraulic processes

Participants: Pascal Finaud-Guyot, Vincent Guinot, Antoine Rousseau.

Collaboration: Philippe Helluy [Univ. Strasbourg & Inria TONUS].

In line with fast changes in the whole society, our scientific community is more and more sensitive to the environmental footprint of research. We already claim that porosity models can be valued for their sobriety, thanks to coarse space meshes and low computational cost simulations. We also wish to develop a time discretization strategy that will continue to lighten our algorithms. A first theoretical work has been carried out for 1D models, we wish to generalize it to 2D models and implement it into operational models.

Discussions have started with team TONUS in Strasbourg, as "CFL (Courant–Friedrichs–Lewy condition)-less" methods are also used by the team for kinetic-relaxation approximation 23.

3.1.3 Street-buildings interactions during flood events

Participants: Pascal Finaud-Guyot, Cécile Choley.

The improvement of realistic flood scenarios also requires the addition of specific processes: we will continue the modeling of interaction with buildings (work initiated by Cécile Choley’s PhD thesis) and develop the transport of log jams in an urban flow, using the functionalities allowed by the concept of porosity to better take into account the feedback of log jams on the flow (crowding process).

3.1.4 Coupling coastal ocean and urban flood models

Participants: Antoine Rousseau, Jose Daniel Galaz Mora.

Collaboration: Maria Kazolea [Inria, team CARDAMOM].

Finally, we wish to continue to couple the numerical models developed by the team with other processes: relying on collaborations external to LEMON (as is currently the case with the SURF project of Inria for the Green-Naghdi / shallow water coupling) or recruiting new permanent members, we will use the team's strengths in free-surface hydraulics and in model coupling to explore new fields of application.

3.2.1 Data fusion and parameter estimation

Participants: Carole Delenne.

Macroscopic models such as those developed by the team have advantages in terms of computational cost, but also in terms of time saved in the processing of the mesh which does not need to describe complex geometries. However, these models require new parameters that reflect the statistical properties of the domain geometry or the topography/bathymetry of the modeled area. The directional and connectivity properties of the environment have to be estimated from geographical data. In the continuity of Vita Ayoub’s thesis 20, LEMON will work on the development of methods for the automatic estimation of these parameters from cartographic or Earth observation data. The objective will be to set up a methodology for continuous acquisition and automatic fusion of new information in order to improve the mapping of the study area as often as the hydrodynamic models require it.

3.2.2 Space-time variability of rainfalls

Participants: Anne Bernard, Nicolas Meyer, Gwladys Toulemonde, Chloe Serre Combe.

Collaboration: Thomas Opitz [INRAe, Avignon], Philippe Naveau [LSCE, CNRS, Gif-sur-Yvette].

Understanding the spatial and temporal variability of rainfalls that can generate flash floods is a major challenge. This knowledge is essential to build stochastic methods for simulating scenarios integrating realistic spatiotemporal extreme rainfall fields. This modeling must be done keeping in mind the importance of the physical interpretation of data simulated with such models. We aim to develop, propose, study and implement models adapted to the presence of extreme values taking into account the associated complex dependencies. One difficulty lies in modeling the transitions (in time and space) between no rain, regular rainfall and extreme rainfall. Reproducing spatial or temporal non-stationarity in the intensities as well as in the dependency structure is also a challenge we wish to address.

3.2.3 Multivariate dependence

Participants: Nicolas Meyer, Gwladys Toulemonde, Alexis Boulin, Samuel Valiquette.

Collaboration: Elena Di Bernardino [LJAD, UniCA], Thomas Laloé [LJAD, UniCA], Eric Marchand [Université de Sherbrooke], Frédéric Mortier [Cirad, Montpellier], Jean Peyhardi [IMAG, Université de Montpellier].

In the medium term, we want to develop appropriate risk measures that can then be used to assess the potential impacts of extreme rainfall events. Multivariate risk measures should be considered, as flood risk indicators are usually derived by combining different hydraulic variables. We would be interested in the estimation of risk sets, the idea being in the simplest framework to identify all the combinations of water height/velocity values which would lead to a risk higher than a fixed level. More generally, the question of modeling dependence in statistics, and in particular when we consider extremes, is one to which we want to contribute, as is the consideration of compound events.

3.2.4 Clustering and sparsity models for rainfall

Participants: Nicolas Meyer, Gwladys Toulemonde, Alexis Boulin.

Collaboration: Elena Di Bernardino [LJAD, UniCA], Thomas Laloé [LJAD, UniCA].

Finally, our aim is to model forcing terms (rainfall, wind, etc.) for a large number of stations and with a small time scale. In addition, many covariates will be included in the models to better explain the phenomena. This means that we will deal with high dimensional data and with potentially many parameters. This is a limitation in terms of computation time and from a statistical point of view. We will therefore continue to propose methods to reduce the dimension: grouping stations for which the rainfall has a similar behavior (clustering) and highlighting a few significant parameters that are sufficient to explain the model (sparsity).

6.1.1 SW2D-Lemon

• Name:
  Shallow Water 2D - Lemon C++ software
• Keywords:
  Numerical simulations, Shallow water equations, Upscaling, Finite volume methods
• Scientific Description:
  SW2D-LEMON (SW2D for Shallow Water 2D) is developed by the LEMON research team in Montpellier. SW2D-LEMON is a multi-model software focusing on shallow water-based models. It includes an unprecedented collection of upscaled (porosity) models used for shallow water equations and transport- reaction processes. Porosity models are obtained by averaging the two-dimensional shallow water equations over large areas containing both a water and a solid phase. The size of a computational cell can be increased by a factor 10 to 50 compared to a 2D shallow water model, with CPU times reduced by 2 to 3 orders of magnitude. Applications include urban flood simulations as well as flows over complex topography. Besides the standard shallow water equations (the default model), several porosity models are included in the platform: (i) Single Porosity, (ii) Dual Integral Porosity, and (iii) Depth-dependent Porosity model. Various flow processes (friction, head losses, wind, momentum diffusion, precipitation/infiltration) can be included in a modular way by activating specific execution flags. Several examples are included to illustrate the potential of SW2D.
• Functional Description:
  Urban floods are usually simulated using two-dimensional shallow water models. A correct representation of the urban geometry and hydraulics would require that the average computational cell size be between 0.1 m and 1 m. The meshing and computation costs make the simulation of entire districts/conurbations impracticable in the current state of computer technology. An alternative approach consists in upscaling the shallow water equations using averaging techniques. This leads to introducing storage and conveyance porosities, as well as additional source terms, in the mass and momentum balance equations. Various versions of porosity-based shallow water models have been proposed in the literature. The Shallow Water 2 Dimensions (SW2D) computational code embeds various finite volume discretizations of these models. It uses fully unstructured meshes with arbitrary numbers of edges. The key features of the models and numerical techniques embedded in SW2D are : - specific momentum/energy dissipation models that are active only under transient conditions. Such models, that are not present in classical shallow water models, stem from the upscaling of the shallow water equations and prove essential in modeling the features of fast urban flow transients accurately - modified HLLC solvers for an improved discretization of the momentum source terms stemming from porosity gradients - higher-order reconstruction techniques that allow for faster and more stable calculations in the presence of wetting/drying fronts.
• Release Contributions:
  - binary file for educational purposes (including documentation) first release - remove dependency with former package geo through mc.inria.fr ## version 0.8.1 - 04/02/2021 - now using dtk-forge (packages should be more homogeneous) (!220) - fixed frequency refresh for simulation (!246) - fixed using the control bar before finish breaking the results (!249) - fixed spurious call to close (!247) - added help menu (!238) - forbid loading settings during simulation (!244) ## version 0.8.0a - 28/01/2021 - logging now appears in the GUI sw2dModeler (!212) - you can extract values at chosen time using a dedicated text file (!217) - added various scripts and examples (!230 !229) - output file name changed (!224)
• News of the Year:
  - recruitment of Lilas Bugeau (code developer) - large CFL method - soil infiltration source terms - code refactoring & loop optimization - write post-processing tools (max velocity, wetting time) - selafin output - write more tests - write user and developer doc
• URL:
  https://­sw2d.­inria.­fr/
• Publications:
  hal-03882644, hal-01884110, hal-01878242, hal-01582224, hal-01541070, hal-01465071, hal-01118743, hal-02269526, hal-02269564, hal-03224056, hal-03224050, hal-02903282
• Contact:
  Antoine Rousseau
• Participants:
  Lilas Bugeau, Vincent Guinot, Antoine Rousseau, Carole Delenne, Pascal Finaud Guyot
• Partners:
  Université de Montpellier, CNRS, IRD

6.1.2 tsunamilab

• Name:
  TsunamiLab
• Keywords:
  Tsunamis, GPGPU, Dissemination, Web
• Functional Description:

  TsunamiLab is an interactive tsunami simulation and visualization platform that teaches and raises awareness about tsunamis through interactive experiences. It allows science communicators, teachers, students and science enthusiasts to create virtual tsunamis or recreate historical tsunamis, and study their features in various digital and augmented reality formats.

  TsunamiLab-Pool: Using cameras and projectors, the "pool" format allows children and adults to interact with their own hands, gathered around the circular screen. This allows the instructor to teach and engage several children simultaneously, in a way that is entertaining for all.

  Web Platform: The platform's website allows anyone to simulate historical tsunamis, observe how they propagated in the ocean, and test what would have happened if they had been of greater or lesser magnitude.

  Hologram: Through a prism, a holographic image makes it possible to observe the impact in different parts of the world at the same time.

  Large Touch Screen: Support for large touch screens allows teachers to observe and explain phenomena in an engaging way in front of a group of students.

• News of the Year:
  - new device to detect finger movement - Tsunamilab workshop at Fête de la Science 2024 (Cité des Sciences, Paris)
• URL:
  https://­jgalazm.­github.­io/­TsunamiLabTN/
• Publications:
  hal-02112763, hal-03514473, hal-04912272
• Contact:
  Jose Daniel Galaz Mora
• Participants:
  Jose Daniel Galaz Mora, Antoine Rousseau
• Partners:
  Cigiden, Inria Chile

7.1.1 Porosity models for upscaled urban flood modeling

Participants: Pascal Finaud-Guyot, Antoine Rousseau.

Collaboration: Cristián Escauriaza [PUC Santiago, Chile], Sebastián Nash [PUC Santiago, Chile].

When modeling large-scale urban floods, the use of porosity non-linear shallow water equations emerges as an interesting sub-grid approach for reducing computation time while preserving the structure of the solution. In such models, fine-scale topographic information is represented at a coarser scale through porosity parameters, enabling a speed-up in computations at the expense of losing accuracy while computing hydrodynamic variables. In 5, we use the Single Porosity model (SP) in Cartesian coordinates to simulate flows in both an idealized and a real-world urban area, while gradually increasing the spatial resolution. During such partial coarsening, in which we move from fine-scale to macro-scale, the porosity distribution changes within the urban zone from a highly heterogeneous field to a more uniform one. At an intermediate meso-scale, where the cell size is of the order of the street width and the reduction in computation time is still significant, the main preferential flow paths within the urban area can be captured by means of the porosity gradient. At such a scale, good agreement with refined classical model solutions is found for flow depth, flood extension, and hazard index, both in magnitude and spatial distribution. Numerical results highlight the importance of porosity models for quickly assessing flow properties during an event and improving real-txme decision-making through reliable information. This work was also presented in 19.

7.1.2 Coupling

7.1.3 Numerical methods for hyperbolic systems of equations

Multivariate peaks-over-threshold with latent variable representations of generalized Pareto vectors

Participants: Gwladys Toulemonde.

Collaboration: Carlo Gaetan [Venice], Thomas Opitz [Inrae Avignon], Jean-Noël Bacro [IMAG, Montpellier].

A flexible multivariate threshold exceedances modeling is defined based on component-wise ratios between any two independent random vectors with exponential and Gamma marginal distributions. This construction allows flexibility in terms of extremal bivariate dependence. More precisely, asymptotic dependence and independence are possible, as well as hybrid situations. Two useful parametric model classes will be presented. One of the two, based on Gamma convolution models, will be illustrated through a simulation study. Good performance is shown for likelihood-based estimation of summaries of bivariate extremal dependence for several scenarii. This work has been presented in an invited seminar in UCL and is published in 2.

7.2.1 Heterogeneous data

7.3.1 Data assimilation

AMIES grant with CEREG

Participants: Antoine Rousseau, Pascal Finaud Guyot, Vincent Guinot, Lilas Bugeau.

In 2024 we obtained a MAHéO grant from AMIES for a collaboration with CEREG on hydraulic modeling with SW2D-LEMON. Lias Bugeau has been hired by our team in this framework.

9.1.1 Associate Teams in the framework of an Inria International Lab or in the framework of an Inria International Program

9.1.2 Participation in other International Programs

9.2.1 Visits of international scientists

9.3.1 Horizon Europe

Participants: Carole Delenne, Omar Et Targuy, Fadil Boodoo, Mitra Aelami, Flavien Baudu.

Collaboration: Salem Benferhat [CRIL, Univ. Artois], Nanée Chahinian [IRD, Montpellier], Umberto Straccia [CNR Pisa], Ahlame Begdouri [USMBA, Morocco], Tommy Meyer [University of Cape Town], Nghi Do [Can Tho University].

Carole Delenne is a member of the STARWARS European project steering committee: STormwAteR and WastewAteR networkS heterogeneous data AI-driven management (MSCA Staff Exchange program, Grant Number 101086252). Omar Et Targuy , Fadil Boodoo , Mitra Aelami and Flavien Baudu have and will benefit from secondments in Vietnam, Italie, Morocco and South Africa until end of 2026.

Public and private stakeholders of the wastewater and stormwater sectors are increasingly faced with large quantities and multiple sources of information/data of different nature: databases of factual data, geographical data, various types of images, digital and analogue maps, intervention reports, incomplete and imprecise data (on locations and the geometric features of networks), evolving and conflicting data (from different eras and sources), etc. The main objective of this multidisciplinary project is to provide novel proposals for the management of heterogeneous data with an application to stormwater and wastewater networks. The STARWARS project aims to bring together researchers from the AI and Water Sciences communities in order to enhance the emergence of new practical solutions for representing, managing, modeling, merging, completing, reasoning, explaining and query answering over data of different forms pertaining to stormwater and wastewater networks.

9.3.2 ChistERA

Participants: Carole Delenne.

Collaboration: Salem Benferhat [CRIL/Univ. Artois], Nanée Chahinian [IRD Montpellier], Zoltan Kato [University of Szeged, Hungary], Inés Couso [University of Oviedo, Spain].

9.4.1 ANR MUFFINS

Participants: Antoine Rousseau, Pascal Finaud-Guyot, Gwladys Toulemonde.

Pascal Finaud Guyot , Antoine Rousseau and Gwladys Toulemonde are members of ANR MUFFINS (MUltiscale Flood Forecasting with INnovating Solutions) led by Pierre-André Garambois (INRAE) including the following partners: IMT, Univ Eiffel, Cerema IMFT, CCR, Météo/SPCME, SCHAPI. The objective of the MUFFINS project is to develop new accurate and computationally efficient flood forecasting approaches, enabling the transfer of information between models (meteo-hydrology-hydraulic-damage) and scales (from local runoff generation over areas lesser than 1 km${}^2$ to flood propagation on catchments of thousands of km${}^2$), and taking advantage of innovative data (in situ, remote observation, opportunistic) to reduce forecasts uncertainties.

9.4.2 ANR CROQUIS

Participants: Carole Delenne.

Carole Delenne is a member (and co-leader of several tasks and a WP) of ANR CROQUIS (Collecting, Representing, cOmpleting, merging and Querying heterogeneous and UncertaIn waStewater and stormwater network data) led by Salem Benferhat (CRIL) and funded in 2022. In this project, we refer to data of different nature such as geographical databases, various types of images, digital/analogue maps, intervention reports, etc. Heterogeneity also refers to the imperfection of the available information where data may be unreliable, imprecise, incomplete, dynamic and conflicting. One of the objectives of CROQUIS is to answer the need for establishing a methodological framework to collect, complete, centralize, update and archive data. Approaches based on Machine Learning (ML) techniques enhanced with basic additional knowledge will be developed along with knowledge-driven query answering and reasoning mechanisms to infer new data needed for hydraulic modeling. In particular, we aim to develop an enhanced query answering tool that should be easily integrated into existing information systems in order to fully exploit available resources and to better exploit meta information such as uncertainty.

9.4.3 ANR SWIFT

Participants: Carole Delenne.

Carole Delenne is a member (and co-leader of several tasks and a WP) of ANR SWIFT (Shallow Water modeling and satellite Imagery combination for improving Flood predicTion) project. The SWIFT project aims to develop innovative methods for combining big data, derived from satellite Earth observation, and hydrodynamic simulations to improve flood inundation modeling at local to regional scales. The project focuses on urban and peri-urban areas and relies on the advanced exploitation of SAR, optical and topography data to characterize complex inundation flows. The project focuses on urban and peri-urban areas and relies on the advanced exploitation of SAR, optical and topography data to characterize complex inundation flows. Flavien Baudu 's PhD at IRD, co-supervised by Carole Delenne with Renaud Hostache is funded by ANR SWIFT. A postdoc at Aix Marseille University, supervised by Carole Delenne will also be funded by this project.

9.4.4 ANR GAMBAS

Participants: Gwladys Toulemonde.

Gwladys Toulemonde is member of the ANR project GAMBAS (Generating Advances in Modeling Biodiversity And ecosystem Services) led by Frédéric Mortier (CIRAD) and involving 6 partners (CIRAD, INRAE, LECA at Grenoble, IMAG at Montpellier, the Museum d'histoire naturelle and the LMO at Paris-Saclay) for a total of 569k€. GAMBAS gathers a collective composed of quantitative ecologists and mathematicians with aspirations in ecology in order to expand Joint Species Distribution Models (JSDMs). The PhD grant of Samuel Valiquette is fully funded by this project.

9.4.5 ANR McLaren

Participants: Gwladys Toulemonde.

Gwladys Toulemonde is involved in the ANR project McLaren (Machine Learning and Risk Evaluation). The University of Côte d'Azur, the University of Montpellier, INRAE, Inria and the CNRS are involved in this project. The overall objective of the project is to bring significant innovations in these two areas of statistical learning and risk assessment. The PhD grant of Alexis Boulin is fully funded by this project.

9.4.6 ANR EXSTA

Participants: Nicolas Meyer.

Nicolas Meyer is member of the ANR project EXSTA (EXtremes, STatistical learning and Applications), led by Anne Sabourin, Université de Paris, 2024-2028. This project aims at developing machine learning techniques to study extreme values.

9.5.1 Eau-PiUM

Participants: Mitra Aelami, Anne Bernard, Carole Delenne, Gwladys Toulemonde, Vincent Guinot, Nicolas Meyer.

Collaboration: Renaud Hostache [IRD, Montpellier].

This is a project from the IDIL graduate program of the University of Montpellier, funding two doctoral contracts (ED GAIA and ED I2S) between 2024 and 2027.

Flooding is the leading natural hazard in France, with particularly severe impacts particularly severe in urban and coastal areas. To improve our understanding and prediction of these extreme events, we are proposing several important extensions to the SW2D (Shallow water 2D) flow model, developed by the Inria-LEMON team in Montpellier. Firstly, we propose a high spatial and temporal resolution stochastic simulator for extreme precipitation forcing in urban and coastal environments (PhD 1, Mitra Aelami , Urban flood risk modeling with neural networks and the impact of extreme spatio-temporal rainfall events, doctoral school GAIA). This precipitation is a forcing term for the flow models studied in the second thesis. Indeed, the second axis of the project will consist in applying a hydraulic model for the simulation of urban flooding, which will serve as a learning base for an artificial intelligence model enabling the rapid estimation of flooded areas (PhD 2, Anne Bernard , Stochastic rainfall generators and impact studies on flood risk in Montpellier, doctoral school I2S). Secondly, we will develop spatialized sensitivity analysis methods to study how extreme values in the model's spatialized bivariate outputs (water heights and velocities) depend on the spatial patterns of extreme forcing. This impact study will be carried out at the intersection of the two thesis topics. The project aims to develop new generic methodological tools, as well as scenarios and maps of flood risk in the Montpellier region, taking into account the potential effects of climate change.

10.1.1 Scientific events: organisation

10.1.2 Journal

10.1.3 Invited talks

• Antoine Rousseau was invited to give a lecture in Graphdeco's workshop "Workshop on machine learning, geometry and fluid simulation", December 2024.
• Gwladys Toulemonde was invited in the session "Extreme value theory for environmental applications" at CMStatistics, London, December 2024.

10.1.4 Leadership within the scientific community

• Vincent Guinot is head of the "Eau dans la Ville" cross-disciplinary research group at HSM (20 staff members) and of the Urban Observatory of HSM.

10.1.5 Scientific expertise

• Vincent Guinot is a member of the board for scientific strategy at HSM.
• Antoine Rousseau is a member of the Inria Center at Université Côte d'Azur scientific board (Bureau du Comité des Projets).
• Gwladys Toulemonde was a hceres expert for the research evaluation of a UMR in 2024.
• Gwladys Toulemonde was an external reviewer for the Icelandic Research Fund, expert panel on Engineering and technical sciences in 2024.
• Gwladys Toulemonde was an expert for UGA (Univertsité Grenoble Alpes) for Initiatives de Recherche à Grenoble Alpes (IRGA), 2024.

10.1.6 Research administration

• Carole Delenne is elected member of the Ecole Doctorale GAIA board.
• Antoine Rousseau is head of the LEMON team at Inria Branch at Université de Montpellier (6 staff members).
• Antoine Rousseau is a member of the Inria Center at Université Côte d'Azur steering board (Comité des Projets).
• Antoine Rousseau is deputy director of the Inria branch at the University of Montpellier.
• Gwladys Toulemonde is elected member of the French Statistical Society board (Société Française de Statistique, SFdS) until July, 2024.
• Gwladys Toulemonde is elected member of Environment group of the French Statistical Society board (Société Française de Statistique, SFdS).
• Gwladys Toulemonde is elected member of the liaison commitee of the MAS Group (Modélisation Aléatoire et Statistique), SMAI (Société de Mathématiques Appliquées et Industrielles) until August, 2024..

10.2.1 Academic involvement / responsibilities

5 UM-affiliated members of LEMON are Academics, for a total teaching load of approximately 1000 hrs/year. Moreover, these members undertook significant administrative duties (approx. 1000 hrs) in 2023:

• Carole Delenne is Program coordinator of the last year of "Eau et Génie Civil - EGC" (Water and Civil Engineering) and the penultimate year of "Sciences et technologies de l'eau" (water science and technology) of the engineering program at Polytech Montpellier.
• Pascal Finaud Guyot is Program coordinator (Year 2) and Sustainable Development coordinator for the EGC engineering program at Polytech Montpellier.
• Nicolas Meyer is head of Master 1 Statistics and Data Science at Université Montpellier.
• Gwladys Toulemonde is Admissions office coordinator at Polytech Montpellier (500+ students/ year).

10.2.2 Supervision

10.2.3 Juries

• Antoine Rousseau  was member of the Inria Junior Researcher (CRCN/ISFP) committee in Grenoble
• Gwladys Toulemonde participated to two "comités de sélections" in 2024, in Nantes for a professor in statistic and in Grenoble for a MCF in statistic.
• Ph.D. defense chair: Antoine Rousseau served as Jury chair for the Ph.D. thesis of Nicolas Rosset (Université Côte d'Azur) on "Fast simulation of wind-obstacle interactions Applications to desertscape modeling and car design".
• Ph.D. defense chair: Gwladys Toulemonde served as Jury chair for the Ph.D. thesis of Nicolas Lafon (Université Paris Saclay) on "Statistical learning for geosciences:methods for extreme generation and data assimilation".
• Ph.D. defense referee: Gwladys Toulemonde was referee for the Ph.D of Abubakar Haruna (Université Grenoble Alpes) on "Amélioration de l'estimation des risques de précipitations".
• Ph.D. defense member: Gwladys Toulemonde was jury member for the Ph.D. thesis of Paula Gonzalez "Méthodes de quantification des probabilités de records climatiques".
• Ph.D. defense member: Carole Delenne was jury member for the Ph.D. thesis of Chuanyin Jiang (Université de Montpellier) on "Mécanismes de dissolution et karstification naissante dans les carbonates fracturés: aperçu de la modélisation thermo-hydro-mécanique-chimique (THMC)"

10.3.1 Specific official responsibilities in science outreach structures

• Gwladys Toulemonde has been appointed ambassador for Inria as part of the Fête de la Science 2024, on the theme “an ocean of knowledge.”
• Antoine Rousseau is co-editor of the national blog binaire, published by Le Monde.

10.3.2 Participation in Live events

• Antoine Rousseau and José Galaz participated to the Fête de la Science 2024 in Paris, Cité des Sciences, with the Tsunamilab platform, see 10.
• Carole Delenne participated several times in the reception of secondary school students in the framework of Digi'Filles (ISDM, Univ Montpellier): children's version of the “fresque du climat”, water cycle.
• Gwladys Toulemonde is involved in the board of the CFEM (commission française pour l'enseignement des mathématiques) since October, 2019, representing the SFdS.
• Gwladys Toulemonde participated to the Salon Culture et Jeux Mathématiques in Paris, Place saint Sulpice, May 2024.
• Pascal Finaud-Guyot , Nicolas Meyer and Gwladys Toulemonde organized sessions of the “Fresque du climat” for the Master 1 students in Statistics and Data Science and for Polytech students, respectively.
• Carole Delenne is part of OpenING and WidenING projects of the "Fondation Polytech", which aims to provide a series of educational 'seeds': these are a mixture of lectures and exercises on a particular concept, which students can complete independently (with guidance if required) in one or two hours.
• Carole Delenne and Gwladys Toulemonde are part of Math'Start Project, that aims to provide a Moodle-based library of mathematical exercises to remedy, restore and consolidate numeracy skills at L1 level in mathematics. These deliverables will complement the resources already available in the form of educational 'seeds' of the OpenING project.

International journals

• 1 articleK.Katia Ait-Ameur and Y.Yvon Maday. Multi-step variant of the parareal algorithm: convergence analysis and numerics.ESAIM: Mathematical Modelling and Numerical Analysis582March 2024, 673-694HALDOIback to text
• 2 articleJ.-N.Jean-Noël Bacro, C.Carlo Gaetan, T.Thomas Opitz and G.Gwladys Toulemonde. Multivariate peaks-over-threshold with latent variable representations of generalized Pareto vectors.ExtremesDecember 2024HALDOIback to text
• 3 articleO.Omar Et-Targuy, C.Carole Delenne, S.Salem Benferhat, A.Ahlame Begdouri, T.-N.Thanh-Nghi Do and T.-T.Truong-Thanh Ma. From GIS to Graphical Representation for Maintaining Connectivity of Wastewater Network Elements.SN Computer Science57September 2024, 851HALDOIback to text
• 4 articleV.Vincent Guinot and A.Antoine Rousseau. Large Courant–Friedrichs–Lewy explicit scheme for one-dimensional hyperbolic conservation laws.International Journal for Numerical Methods in Fluids9611July 2024, 1760-1794HALDOIback to text
• 5 articleS.Sebastián Nash, C.Cristián Escauriaza, P.Pascal Finaud-Guyot, W.Wolfram Jahn and A.Antoine Rousseau. Single Porosity Model: Exploring the Spatial Resolution Limits in Complex Urban Patterns.Journal of Hydrology637March 2024, 131239HALDOIback to text
• 6 articleL.Léo Pujol, P.-A.Pierre-André Garambois, C.Carole Delenne and J.-L.Jean-Louis Perrin. Adjoint-based sensitivity analysis and assimilation of multi-source data for the inference of spatio-temporal parameters in a 2D urban flood hydraulic model.Journal of Hydrology6432024, 131885HALDOIback to text

International peer-reviewed conferences

• 7 inproceedingsI.Ikram El Miqdadi, F.Fatima Abouzid, S.Salem Benferhat, N.Nanée Chahinian and C.Carole Delenne. A Graph-Based Representation of Wastewater Maps.IEEE BigData 2024 - 2024 IEEE International Conference on Big DataWashington DC, United StatesDecember 2024HALback to text
• 8 inproceedingsJ.José Galaz, M.Maria Kazolea and A.Antoine Rousseau. Coupling Dispersive Shallow Water Models by Deriving Asymptotic Interface Operators.Domain Decomposition Methods in Science and Engineering XXVII27th International Conference on Domain Decomposition Methods in Science and Engineering - DD27149Lecture Notes in Computational Science and EngineeringPrague, Czech RepublicSpringer Nature SwitzerlandJanuary 2024, 181-188HALDOIback to text
• 9 inproceedingsR.Renaud Hostache, V.Vita Ayoub, M.Marco Chini, R.Ramona Maria-Pelich, P.Patrick Matgen and C.Carole Delenne. Combining SAR imagery and topography for the automatic retrieval of floodwater depth maps.IEEE XploreIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing SymposiumIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium : proceedingsAthènes, GreeceJuly 2024HALback to text
• 10 inproceedingsA.Antoine Rousseau and J. D.José Daniel Galaz Mora. Atelier Tsunamilab à la Cité des Sciences.Fête de la Sciences 2024Paris Cité des sciences, FranceOctober 2024HALback to text
• 11 inproceedingsM.-T.Minh-Thu Tran-Nguyen, S.Salem Benferhat, N.Nanée Chahinian, C.Carole Delenne and T.-N.Thanh-Nghi Do. Building a Wastewater Network Graph from Inspection Videos.Communications in Computer and Information ScienceISDS 2024 - 2nd International Conference on Intelligent Systems and Data ScienceCCIS-2190Intelligent Systems and Data Science : 2nd International Conference, ISDS 20Nha Trang city, VietnamSpringer Nature SingaporeNovember 2024, 188-202HALDOIback to text

Conferences without proceedings

• 12 inproceedingsN.Nadia Skifa, F.Fadil Boodoo, C.Carole Delenne, R.Renaud Hostache and M.Morgan Abily. Impact of training dataset size and its hydrometeorological typology on LSTM performance for rainfall-runoff modeling: a case study of the Severn river.Advances in Hydroinformatics—SimHydro 2023 Volume 2SimHydro conference 20232Chatou, FranceSpringerSeptember 2024, 107-128HALDOI

Doctoral dissertations and habilitation theses

• 13 thesisA.Alexis Boulin. Variable clustering of multivariate time series according to the dependence of their extremes.Université Côte d'AzurSeptember 2024HALback to text
• 14 thesisJ.José Galaz. Coupling methods of phase-resolving coastal wave models.Université de montpellierJune 2024HALback to textback to text
• 15 thesisS.Samuel Valiquette. On counting data within the framework of extreme values and multivariate modeling.Université de Montpellier; Université de Sherbrooke. Département de mathématiquesJuly 2024HALback to text

Reports & preprints

• 16 miscK.Katia Ait-Ameur, M.Mohamed Essadki, M.Marc Massot and T.Teddy Pichard. Limitation strategies for high-order discontinuous Galerkin schemes applied to an Eulerian model of polydisperse sprays.January 2024HAL
• 17 miscS.Samuel Valiquette, É.Éric Marchand, J.Jean Peyhardi, G.Gwladys Toulemonde and F.Frédéric Mortier. Tree Pólya Splitting distributions for multivariate count data.2024HAL

Other scientific publications

• 18 inproceedingsJ.José Galaz, M.Maria Kazolea and A.Antoine Rousseau. The linear hybrid Boussinesq-SaintVenant model is well-posed and produces O(h^2/L^2) reflections: Couplin phase-resolving coastal wave models.PhD day 2024Montpellier, FranceMarch 2024HALback to text
• 19 inproceedingsS.Sebastián Nash, C.Cristian Escauriaza, M. T.Maria Teresa Contreras and A.Antoine Rousseau. THE IMPACT OF COASTLINE ANTHROPOGENICGEOMORPHOLOGICAL ALTERATIONS ON FLOOD HAZARDS.CSDMS 2024: Coastlines, Critical Zones and Cascading Hazards: Modeling Dynamic Interfaces from Deep Time to Human TimeMontclair, New Jersey, USA, United StatesMay 2024HALback to text