A5057707137- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
- Meteorological Phenomena and Simulations
- Climate variability and models
- Hydrological Forecasting Using AI
- Cryospheric studies and observations
- Hydrology and Sediment Transport Processes
- Landslides and related hazards
- Soil erosion and sediment transport
- Tree-ring climate responses
- Precipitation Measurement and Analysis
- Geophysics and Gravity Measurements
- earthquake and tectonic studies
- Geology and Paleoclimatology Research
- Plant Water Relations and Carbon Dynamics
- Geological formations and processes
- French Urban and Social Studies
- Reservoir Engineering and Simulation Methods
- Fire effects on ecosystems
- Geological and Geophysical Studies Worldwide
- Water resources management and optimization
- Computational Physics and Python Applications
- Soil Moisture and Remote Sensing
- Integrated Water Resources Management
Université Côte d'Azur
2017-2024
Géoazur
2015-2024
Centre National de la Recherche Scientifique
2019-2024
Institut de Recherche pour le Développement
2019-2024
École Normale Supérieure de Rennes
2022-2024
Géosciences Rennes
2022-2024
Université de Rennes
2022-2024
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2021-2023
Observatoire de la Côte d’Azur
2018-2023
Université Paris-Saclay
2021-2023
The new scientific decade (2023-2032) of the International Association Hydrological Sciences (IAHS) aims at searching for sustainable solutions to undesired water conditions - may it be too little, much or polluted. Many current issues originate from global change, while problems must embrace local understanding and context. will explore crises by actionable knowledge within three themes: interactions, innovative cross-cutting methods. We capitalise on previous IAHS Scientific Decades...
Abstract. To date, long short-term memory (LSTM) networks have been successfully applied to a key problem in hydrology: the prediction of runoff. Unlike traditional conceptual models, LSTM models are built on concepts that avoid need for our knowledge hydrology be formally encoded into model. The question, then, is how we can still make use domain and practices, not build themselves, as do but them more effectively. In present paper, adopt this approach, investigating information concerning...
<p>To facilitate reproducible hydrological research and support model testing evaluation, several datasets gathering hydroclimatic information on large catchment samples have been released in different regions of the world over last years. Addor <em>et al.</em> (2017) proposed a dataset Catchment Attributes Meteorology for Large-sample Studies (CAMELS), consisting 671 catchments contiguous United States. Then other were produced CAMELS framework...
Initially limited by data availability and computing resources, hydrological modelling has advanced significantly with efforts to make test catchments widely accessible, sharing data, like it was made the landmark MOPEX initiative (Schaake et al., 2006). In France, CAMELS-FR dataset (Delaigue 2024c, 2024d) developed support large-scale studies, gathering near-natural catchments, in line CAMELS already built various countries (see e.g. Addor 2017).The features daily hydroclimatic time series,...
The Bay of Brest (BB) is a macro-tidal estuarine environment that has been exposed to strong anthropogenic pressures over the last decades, especially after Second World War. It therefore considered as regional pilot site for addressing coastal ecosystem transformations since Industrial Revolution. We analysed 4 sediment cores collected in 2 different BB areas more or less marine hydrodynamic processes: i) Elorn sector (3 cores) and ii) Daoulas (1 core), inner BB, close mouth river, with aim...
Abstract. Over the last decade, large-sample approaches, i.e., based on large catchment sets, have become increasingly popular in hydrological studies. Efforts were made to assemble and disseminate national datasets. This article aims make a contribution construction of international database catchments by proposing CAMELS-FR dataset, CAMELS (Catchment Attributes MEteorology for Large-sample Studies) initiative. The first version presented here gathers hydroclimatic data physical attributes...
Abstract. On 2 October 2020, the Maritime Alps in southern France were struck by devastating Storm Alex, which caused locally more than 600 mm of rain less 24 h. The extreme rainfall and flooding destroyed regional stream gauges. That hinders our understanding spatial temporal dynamics rainfall–runoff processes during storm. Here, we show that seismological observations from permanent seismic stations constrain these at a catchment scale. analysis power, peak frequency, back azimuth provides...
RÉSUMÉLa tempête Alex, qui a touché le 2 octobre 2020 les vallées de la Roya, Tinée, et Vésubie dans Alpes-Maritimes, constitue un événement référence qu'il est important documenter au mieux pour en conserver mémoire permettre son étude ultérieure. Les différents services opérateurs l'État se sont largement mobilisés acquérir regrouper des jeux données décrivant cet événement. Cet article présente une contribution communauté scientifique à reconstitution débits pointe crues, conduite cadre...
The Kamp River is a particularly interesting case study for testing flood frequency estimation methods, since it experienced major in August 2002. Here, the catchment studied order to quantify influence of such remarkable event on calibration rainfall–runoff model, particular when used stochastic simulation method estimation, by performing numerous model calibrations (based split-sample and bootstrap tests). results confirmed usefulness multi-period schemes identifying dependence performance...
Abstract. Over the last decades, different methods have been used by hydrologists to extend observed hydro-climatic time series, based on other data sources, such as tree rings or sedimentological datasets. For example, ring multi-proxies studied for Caniapiscau Reservoir in northern Québec (Canada), leading reconstruction of flow series 150 years. In this paper, we applied a new method and compare obtained streamflow against derived from dendrohydrology authors same catchment study natural...
Abstract. Classifications of atmospheric weather patterns (WPs) are widely used for the description climate a given region and employed many applications, such as forecasting, downscaling global circulation model outputs reconstruction past climates. WP classifications were recently to improve statistical characterisation heavy rainfall. In this context, bottom-up approaches, combining spatial distribution rainfall observations geopotential height fields have been define relevant analysis....
RESUMEL'objectif de cet article est présenter un bilan hydro-météorologique des trois dernières crues majeures observées sur les petits bassins côtiers la Côte d'Azur (3 octobre 2015, 23 novembre 2019 et 1er décembre 2019). L'analyse conjointe données issues pluviomètres différents produits lames d'eau (PANTHERE, ANTILOPE RAINPOL) montre que deux épisodes du 3 2015 sont caractérisés par intensités très importantes, avec cumuls localement supérieurs à 100 mm en moins heures, alors l'épisode a...
[1] Stochastic flood simulation methods are typically based on a rainfall probabilistic model (used for simulating continuous series or estimating probabilities of random events) and rainfall-runoff model. Usually, both these models calibrated over observed hydrometeorological series, which may be subject to significant variability and/or nonstationarity time. The general aim this study is thus propose test methodology performing sensitivity analysis extreme estimations variability. consists...
In physically-based land surface models, the parameters can all be prescribed a priori but calibration used to enhance realism of simulations in well instrumented domains. such case, transferability calibrated under non-stationary conditions needs addressed, especially context climate change. To this end, we Catchment Land Surface Model (CLSM) Upper Durance watershed located French Alps, which experienced significant increase temperature over last century. The CLSM is forced by 50-year...
Abstract. The Caribbean country of Haiti is highly exposed to hydroclimatic hazards. However, there no usable database that easily accessible the scientific community for this area. To fill gap, data were collected create first historical in Haiti. This database, called "Simbi" (guardian rivers, freshwater, and rain Haitian mythology), includes 156 monthly rainfall series over period 1905–2005, 59 daily 1920–1940, 70 streamflow series, 23 temperature not necessarily continuous, 1920–1940. It...
Suite aux inondations catastrophiques les 2 et 3 octobre 2020 dans le département des Alpes-Maritimes, Cerema a été chargé de coordonner une expertise hydrologique sur bassins versants du Var la Roya. Elle réalisée cadre d'un retour d'expérience (RETEX) technique piloté par Direction Départementale Territoires Mer (DDTM 06) pour compte Préfet Alpes-Maritimes. Les principaux résultats, qui ont fait l'objet consensus avec partenaires, permettent caractériser l'évènement ALEX vallées l'Estéron,...
Abstract Classifications of atmospheric circulation patterns are useful tools to improve the description climate a given region and analysis meteorological situations. In particular, weather pattern (WP) classifications could be used spatial heavy rainfall. Here, bottom‐up approach, previously build WP classification in France, is applied for definition Austrian The optimal extent position geopotential fields taken into account studied. proposed shown coherent with general knowledge on...
Abstract. In the field of Deep Learning, long short-term memory (LSTM) networks lie in category recurrent neural network (RNN) architectures. The distinctive capability LSTM is learning non linear term dependency structures. This makes a good candidate for prediction tasks time dependent systems such as runoff catchment. this study, we use large sample 740 gauged catchments with very diverse hydro-geo-climatic conditions across France. We present regime classification based on three...
Abstract. Large datasets of long-term streamflow measurements are widely used to infer and model hydrological processes. However, may suffer from what users can consider anomalies, i.e. non-natural records that be erroneous values or anthropogenic influences lead misinterpretation actual Since identifying anomalies is time consuming for humans, no study has investigated their proportion, temporal distribution, influence on indicators over large datasets. This summarizes the results a visual...