Research projects involving members of LEMON

International Grants

National (ANR) Grants

National Projects

Industrial collaborations

European Project CASCADE (2018-2022)

Title: Combining earth observation with a large scale model cascade for assessing flood hazard at high spatial resolution.
Partner: LIST (Luxembourg Institute of Science and Technology)
The CASCADE project aims at developing a Satellite Earth Observation (SEO)-based modelling framework that enables an assessment of flood hazard at large scale and high spatial resolution. The project intends to unlock the potential offered by recent developments in terms of high performance computing, parsimonious and efficient hydrological and hydraulic models, as well as the availability of globally coherent remote sensing data. By using SEO data and other globally and freely available data sets as default data for driving and parameterizing the model, the project aims at developing a modelling solution that is no longer relying entirely on the availability of long records of reliable in situ observations. Such developments are considered a pre-requisite for hydrology-related disaster risk reduction worldwide.

Project ANR ANSWER (2017-2021)

Title: Analysis and Numerical Simulation of Water Ecosystems in Response to anthropogenic environmental changes
Partners: MISTEA, LEESU, iEES Paris, LBE, NIGLAS, Chineese Academy of Sciences
The increase in the occurence of cyanobacterial blooms threaten the ecosystem services provided by lakes and reservoirs worldwide. In this French-Chinese collaborative project, researchers of various fields will work together to develop an integrative platform for lake ecosystems modeling, which will include some tools of data management and knowledge representation, some models and some methods of analysis.

Project ANR DEUFI (2019-2023)

Title: Detailing Urban Flood Impact
Partners: GEAU, Artelia, LMFA, Cerema, ULiège, ICube
Although urban floods were largely investigated, the flow exchanges between streets and buildings are poorly documented in the laboratory and in the field. DEUFI project fills this gap focusing on the hydraulic processes inside and outside one urban block and assessing how this knowledge can be useful to estimate the damages and the number of fatalities.

Project ANR GAMBAS (2019-2023)

Title: Generating Advances in Modeling Biodiversity And ecosystem Services
Partners: CIRAD, INRAE, LECA, MUSEUM National d’Histoire Naturelle, IMAG, Université Paris-Saclay
GAMBAS gathers a collective comprised of quantitative ecologists and mathematicians with aspirations in ecology . An advisory committee composed of representatives of the French government and civil societies will support these investigators. Together, they have set the goal of expanding JSDMs and to promote their use in community ecology, biogeography, and conservation ecology. Multiple datasets will contribute to fulfill the objectives of GAMBAS, including terrestrial (birds, temperate and tropical forests) and aquatic (freshwater functional diversity) biological communities.

Inria Challenge SURF (2019-2023)

Title: Sea Uncertainty Representation and Forecast
Partners: Inria, BRGM, SHOM, Ifremer
Understanding the dynamics of the oceans is a key scientific issue. It has many applications in coastal zone management, the regulation of maritime traffic and the prevention of ecological, meteorological and industrial risks. While scientific computing is now one of the most widely-used tools to explain or predict changes in the ocean, simulation tools are still reserved for specific purposes. The SURF project brings together several Inria teams that are pooling their expertise to develop a common platform for computing oceanic flows in littoral and coastal zones.

Project FRAISE (CNRS funding, Lefe Manu)

LEFE MANU Fraise (2019-2021): rainfall forcing by stochastic simulation for hydrological impact studies from dry periods to extreme events

Project AMANDE (Partenariat Hubert Curien)

PHC project Amande (2019-2021): stochastic and semi-parametric approaches combined to remote sensing for the study of the water stress

Collaboration with Berger-Levrault

Title: Data fusion for wastewater network mapping
Partners: Berger-Levrault, LSIA (Univ. SMBA, Fes Morocco)
This work will concentrate first on putting forward, adapting and using data fusion methods to combine, on the one hand, the attributes of the different objects that form a network (depth, diameter of a pipe etc.) and on the other hand, the georeferenced data which provide the position of these elements. Moreover, the nodes interconnection and structure complexity of this type of networks requires the development of efficient updating methods and their propagation.

Collaboration with IRT Saint-Exupéry

This collaboration is intended to implement and evaluate the relevance of AI tools in physical and numerical modeling. These physical and numerical methods, exploited within the framework of problems whose physical processes are well controlled, are however limited by computation times and the resolution of mesh-to-mesh numerical problems. These classical methods therefore require a multiplication of technical means (such as the processor computing capabilities, or parallelization) when downscaling or parallelization is required. spatial or temporal refinement is required. Conversely, an upscaling process can be undertaken in order to spatially simplify the resolution of physical processes and mathematical tools through a coarser mesh for example.

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