Arnaud Cerbelaud
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4800 Oak Grove Drive
Pasadena, CA 91109Contact:
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Water & EcosystemsPostdoctoral Researcher
Biography
Arnaud Cerbelaud holds a French Engineering dual degree from both the Ecole Polytechnique and the ENSAE ParisTech (2015). Prior to his current water-related research activities, he worked on a variety of topics, including combinatorial game theory at Columbia University, macroeconometrics at the O.E.C.D, and public finance forecasts at the French Ministry of Economics. He later earned a second MS in Meteorology, Oceanography & Remote Sensing from Sorbonne Université (2020) and recently obtained his PhD in Space and Environmental Sciences from ISAE-Supaéro, Université Toulouse III. During his thesis, he worked on pluvial flood damage detection using various types of satellite imagery to improve flood susceptibility mapping models.
Education
- PhD Space and Environmental Sciences, ISAE-Supaéro & Université Toulouse III - Paul Sabatier, France, 2023
- MS Meteorology, Oceanography and Remote Sensing, Sorbonne Université - Pierre-et-Marie-Curie, France, 2020
- MS Data Sciences & Econometrics, Ecole Nationale de la Statistique et de l’Administration Economique, France, 2015
- Diplôme d’ingénieur, Ecole Polytechnique (X2011), France, 2014
Professional Experience
- NASA Jet Propulsion Laboratory, California Institute of Technology, USA - Postdoctoral Researcher (2023 - present)
- Onera, The French Aerospace Lab & CNES, the French National Space Agency, France - PhD Fellow in Space & Environmental Sciences (2020-2023)
- French National Institute of Statistics and Economics Studies (INSEE), France - Deputy Head of Office in charge of Public Finance Forecasts (2016-2019)
- O.E.C.D, Structural Surveillance Division, France - Research Assistant in Macroeconometrics (2015-2016)
Research Interests
A particular focus is on the combined use of earth observation instruments and empirically- or physics-based hydrological modeling to study the Earth’s surface water dynamics at a global scale.
Selected Awards
- “My PhD from Space” award delivered by the French National Remote Sensing Program (PNTS/CNRS), 2022.
- Pre-selected for the ISAE-Supaéro Foundation’s Thesis Award, 2023
Selected Publications
- Cerbelaud, A., Blanchet, G., Roupioz, L., Breil, P., Briottet, X., 2023. Mapping Pluvial Flood-Induced Damages with Multi-Sensor Optical Remote Sensing: A Transferable Approach. Remote Sens. 15 (9), 2361. https://doi.org/10.3390/rs15092361.
- Cerbelaud, A., Lefèvre, J., Genthon, P., Menkes, C., 2022. Assessment of the WRF-Hydro uncoupled hydro-meteorological model on flashy watersheds of the Grande Terre tropical island of New Caledonia (South-West Pacific). J. Hydrol. Reg. Stud. 40, 101003. https://doi.org/10.1016/j.ejrh.2022.101003.
- Cerbelaud, A., Breil, P., Blanchet, G., Roupioz, L., Briottet, X., 2022. Proxy data of surface water floods in rural areas: application to the evaluation of the IRIP intense runoff mapping method based on satellite remote sensing and rainfall radar. Water 14 (3), 393. https://doi.org/10.3390/w14030393.
- Payrastre, O., Nicolle, P., Bonnifait, L., Brigode, P., Astagneau, P., Baise, A., Belleville, A., Bouamara, N., Bourgin, F., Breil, P., Brunet, P., Cerbelaud, A., Courapied, F., Devreux, L., Dreyfus, R., Gaume, E., Nomis, S., Poggio, J., Pons, F., Rabab, Y., Sevrez, D., 2022. Tempête Alex du 2 octobre 2020 dans les Alpes-Maritimes : une contribution de la communauté scientifique à l’estimation des débits de pointe des crues. La Houille Blanche 2082891. https://doi.org/10.1080/27678490.2022.2082891.
- Cerbelaud, A., Roupioz, L., Blanchet, G., Breil, P., Briottet, X., 2021. A repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: evidence from three case studies in the South of France. ISPRS J. Photogramm. Remote Sens. 182, 153-175. https://doi.org/10.1016/j.isprsjprs.2021.10.013.
- Cerbelaud, A., Favro, A., Roupioz, L., Blanchet, G., Briottet, X., Delvit, J.-M., Breil, P, 2020. Potentiel de l'imagerie optique satellitaire à haute résolution pour détecter les dommages engendrés par des épisodes pluvieux extrêmes. La Houille Blanche 6, 66-74. https://doi.org/10.1051/lhb/2020059. (French only)