Hydrologie Spatiale
QUI SOMMES-NOUS ?
Notre équipe de spécialistes
L’équipe d’Hydro Matters est constituée d’ingénieurs et de chercheurs mobilisés autour de l’objectif de répondre aux défis mondiaux de l’eau, pour aujourd’hui comme pour demain, notamment dans le contexte du changement climatique. Nos collaborations avec des institutions de recherhce académiques, des organismes gouvernementaux et des ONG nous permettent d’élaborer des solutions innovantes et autant que possible respectueuses de l’environnement.
Voici une présentation de nos membres, soulignant leur expertise et leur engagement vers une gestion efficace et durable de l’eau. Leur motivation et leur compétence sont au cœur de notre activité, nous aidant à créer des approches qui visent à favoriser la résilience des systèmes aquatiques et le bien-être des communautés.
Jacques VERRON
Président – Actionnaire co-fondateur
Adrien PARIS
Ingénieur de recherche – Directeur Général – Actionnaire co-fondateur
Malik BOUSSAROQUE
Ingénieur de recherche – Actionnaire
Laëtitia GAL
Ingénieur de recherche – Actionnaire
Rômulo Augusto JUCÁ OLIVEIRA
Ingénieur de recherche
Fifi Ibrahime ADODO
Ingénieur de recherche
Kevin LARNIER
Ingénieur de recherche
Stéphane CALMANT
Ingénieur de recherche
Sylvie SAHUC
Assistante administrative – Actionnaire fondatrice
Anny CAZENAVE
Actionnaire fondatrice
Isabelle CASTERA
Actionnaire fondatrice
Pauline BROSSAT
Ingénieur de recherche
Marie-Line GOBINDDASS
Ingénieur de recherche
Nos publications
Aperçu des contributions de recherche
Cette section regroupe les publications issues des recherches menées par Hydro Matters. Elle vise à fournir un accès aux travaux publiés par notre équipe, centrés sur l’utilisation des technologies spatiales pour l’étude et la gestion des ressources hydriques. Ces documents reflètent notre participation à la communauté scientifique de l’hydrologie spatiale et notre contribution à la compréhension des cycles hydrologiques.
Absolute calibration / validation of the altimeters on Sentinel-3A and Jason-3 over the lake Issykkul
Cretaux, J.F., Bergé-Nguyen, M., Calmant, S., Djamangulova, N., Satylkanov, R., Lyard, F., Perosanz, F., Verron, J., Samine Montazem, A., Le Guilcher, G., Leroux, D., Barrie, J., Maisongrande, P., Bonnefond, P., 2018: Absolute calibration / validation of the altimeters on Sentinel-3A and Jason-3 over the lake Issykkul. Remote Sens., 2018, 10, 1679; doi:10.3390/rs1011167
A DNN Framework for Learning Lagrangian Drift With Uncertainty
Jenkins, J., Paiement, A., Ourmières, Y., Le Sommer, J., Verron, J., Ubelmann, C., & Glotin, H. (2023). A DNN Framework for Learning Lagrangian Drift With Uncertainty. Applied Intelligence, 53(20), 23729-23739.
AltiKa: a Ka-band altimetry payload and system for operational altimetry during the GMES period
Vincent P., N. Steunou, E. Caubet, L. Phalippou, L. Rey, E. Thouvenot, and J. Verron, 2006: AltiKa: a Ka-band altimetry payload and system for operational altimetry during the GMES period. Sensors, 6, 208-234.
Altimetry for the future: Building on 25 years of progress
International Altimetry Team, 2021: Altimetry for the future: Building on 25 years of progress, Advances in Space Research 68 (2021) 319–363.
ARARAS (Algorithm for Radar Altimetry Retracking on speculAr waveformS), application over the Mana river for long-term multimission Time Series.
Boussaroque, M., Niño, F., Paris, A., & Calmant, S. (2024). TITRE: ARARAS (Algorithm for Radar Altimetry Retracking on speculAr waveformS), application over the Mana river for long-term multimission Time Series (No. EGU24-18194). Copernicus Meetings.
Abstract
In the context of climate change, it is imperative to have a global understanding of water resources and their use. Long-term water level time series play an essential role in analyzing long-term trends, detecting inter-annual variations, understanding seasonal cycles and estimating long-term hydrological changes. Unfortunately, long time series from in situ stations are seldom available at the global scale, and particularly in remote areas such as tropical forests. Altimetry is emerging as an effective alternative…
Coupled hydrological-hydrodynamic and data assimilation of the entire river network of the Maroni basin using SWOT river products and other EO missions
Larnier, K., Garambois, P. A., Emery, C., Gal, L., & Paris, A. (2024). Coupled hydrological-hydrodynamic and data assimilation of the entire river network of the Maroni basin using SWOT river products and other EO missions (No. EGU24-20523). Copernicus Meetings.
Abstract
The SWOT mission (NASA, CNES, UK-SA, CSA) launched in December 2022 provides observations of surface of inland water bodies at unprecedented resolution and accuracy. Here we focus on the Level 2 river products (heights and widths at 200m scale) and we assess their usability in creating coupled hydrological-hydrodynamic simulations of large scale basin where in-situ data are sparse…
Coupled hydrological-hydrodynamic and data assimilation of the Niger and Maroni using SWOT river products and other EO missions
• Steady decrease of in-situ stations over the past 3 decades
• Real time monitoring using dense in situ data only available in developed countries
• Strong potential benefits of remote sensing in developing countries such as in Africa
• Copernicus Sentinels constellation
• The SWOT mission
Improved modeling of Congo's hydrology for floods and droughts analysis and ENSO teleconnections
Correa, S. W., Kitambo, B., Papa, F., Paris, A., Fleischmann, A. S., Gal, L., … & Calmant, S. (2023). Improved modeling of Congo’s hydrology for floods and droughts analysis and ENSO teleconnections. Journal of hydrology: regional studies. Amsterdam. Vol. 50 (Dec. 2023),[Article] 101563, 21 p.
Abstract
Study region: The Congo River basin (CRB), the world’s second-largest river system, is subject to extreme hydrological events that strongly impact its ecosystems and population. Study focus: Here we present an improved 40-year (1981-2020) hydrological reanalysis of daily CRB discharge and analyze the spatiotemporal dynamics of recent major CRB floods and droughts, and their teleconnection with El Nin similar to o-Southern Oscillation (ENSO), the dominant driver of tropical precipitation. We emp …
Improving mesoscale altimetric data from a multi-tracer convolutional processing of standard satellite-derived products
Fablet, R., Verron J., Mourre B., Chapron, B., Pascual A., 2018: Improving mesoscale altimetric data from a multi-tracer convolutional processing of standard satellite-derived products. IEEE Transactions on Geoscience and Remote Sensing, 56 (5):2518-2525; 10.1109/TGRS.2017.2750491.
Inland surface waters quantity monitored from remote sensing
JCretaux, J. F., Calmant, S., Papa, F., Frappart, F., Paris, A., & Berge-Nguyen, M. (2023). Inland surface waters quantity monitored from remote sensing. Surveys in Geophysics, 44(5), 1519-1552.
Abstract
Learning Multi-Tracer Convolutional Models for the reconstruction of high-resolution SSH-fields
Fablet, R., Lopez-Radcenco, M., Verron, J., Mourre, B., Chapron, B., Pascual, A., 2017: Learning Multi-Tracer Convolutional Models for the reconstruction of high-resolution SSH-fields, IEEE International Geoscience and Remote Sensing, 406-409, DOI 10.1109/IGARSS.2017.8126981
Mapping altimetry in the forthcoming swot era by back-and-forth nudging a one-layer quasigeostrophic model
Le Guillou, F., Metref, S., Cosme, E., Ubelmann, C., Ballarotta, M., Le Sommer, J., & Verron, J. (2021). Mapping altimetry in the forthcoming swot era by back-and-forth nudging a one-layer quasigeostrophic model. Journal of Atmospheric and Oceanic Technology, 38(4), 697-710.
Ocean integration: The needs and challenges of effective coordination within the ocean observing system
Révelard, A., Tintoré, J., Verron, J., Bahurel, P., Barth, J. A., Belbéoch, M., … & Williams, B. (2022). Ocean integration: The needs and challenges of effective coordination within the ocean observing system. Frontiers in Marine Science, 8, 737671.
Reduction of spatially structured errors in wide-swath altimetric satellite data using data assimilation
Metref S., E. Cosme, J. Le Sommer, N. Poel, J. M. Brankart, J. Verron and Laura Gómez Navarro, 2019: Reduction of spatially structured errors in wide-swath altimetric satellite data using data assimilation. Remote Sens. 2019, 11, 1336; doi:10.3390/rs11111336
Satellite altimetry for oceanography: From data processing to data assimilation
Satellite Oceanography: Revolutionizing the Blue Economy
Sharma, R., Goes, J., & Verron, J. (2023). Satellite Oceanography: Revolutionizing the Blue Economy. Journal of the Indian Society of Remote Sensing, 51(2), 227-228.
Singular evolutive extended Kalman filter with EOF initialization for data assimilation in oceanography
Pham D. T., J. Verron et M. C. Roubaud, 1998: Singular evolutive extended Kalman filter with EOF initialization for data assimilation in oceanography. of Marine Systems, 16 (3-4), 323-340.
Spatial Hydrology for the Operational monitoring of French Guiana rivers
In a context of a changing climate and an increasing anthropic pressure on natural resources, it is more than ever necessary to maintain or even improve our capacity to understand and monitor inland waters. It is particularly the case in French Guyana, where, despite its relative density, the in situ monitoring network fails at providing everyday information on rivers all over the territory. The use of free and open spatial datasets and hydrological modeling have shown great skills in complementing existing monitoring networks all over the world…
The Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Quality Assessment and Unique Characteristics of AltiKa Data
Bonnefond, P.; Verron, J.; Aublanc, J.; Babu, K.N.; Bergé-Nguyen, M.; Cancet, M.; Chaudhary, A.; Crétaux, J.-F.; Frappart, F.; Haines, B.J.; Laurain, O.; Ollivier, A.; Poisson, J.-C.; Prandi, P.; Sharma, R.; Thibaut, P.; Watson, C., 2018: The Benefits of the Ka-Band as Evidenced from the SARAL/AltiKa Altimetric Mission: Quality Assessment and Unique Characteristics of AltiKa Data. Remote Sens., 10, 83, doi:10.3390/rs10010083.
The SARAL/AltiKa altimetry satellite mission
Verron J., P. Sengenes, J. Lambin, J. Noubel, N. Steunou, A. Guillot, N. Picot, S. Coutin-Faye, R. Gairola, D.V.A. Raghava Murthy, J. Richman, D. Griffin, A. Pascual, F. Rémy, P. K. Gupta, 2015: The SARAL/AltiKa altimetry satellite mission. Marine Geodesy, doi 10.1080/01490419.2014.1000471.
The SARAL/AltiKa mission : A step forward to the future of altimetry
Verron, J., Bonnefond, P., Andersen, O., Ardhuin, F., Bergé-Nguyen, M., Bhowmick, S., … & Zaron, E. D. (2021). The SARAL/AltiKa mission: A step forward to the future of altimetry. Advances in Space Research, 68(2), 808-828.
The benefits of the Ka-band as evidenced from the SARAL/AltiKa altimetric mission: Scientific applications
J. Verron, P. Bonnefond, L. Aouf, F. Birol, S. Bhomwick, S. Calmant, T. Conchy, JF. Crétaux, G. Dibarboure, A K Dubey, Y. Faugère, K. Guerreiro, P K Gupta, M. Hamon, F. Jebri, R. Kumar, R. Morrow, I. Pujol, E. Rémy, F. Rémy, W. H F Smith, J. Tournadre, O. Vergara, 2018: The benefits of the Ka-band as evidenced from the SARAL/AltiKa altimetric mission: Scientific applications. Remote Sensing, 10, 163; doi:10.3390/rs10020163.
Wide-swath altimetric satellite data assimilation with correlated-error reduction
Metref, S., Cosme, E., Le Guillou, F., Le Sommer, J., Brankart, J. M., & Verron, J. (2020). Wide-swath altimetric satellite data assimilation with correlated-error reduction. Frontiers in Marine Science, 6, 822.