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170

Maria-Helena Ramos


Research scientist in hydrology at INRAE

Research center Île-de-France - Jouy-en-Josas - Antony - Associated with Université Paris Saclay

Research team HYDRO (UR HYCAR)

CV available here

 

My publications in HAL


Journal articles50 documents

  • Manon Cassagnole, Maria-Helena Ramos, Ioanna Zalachori, Guillaume Thirel, Rémy Garçon, et al.. Impact of the quality of hydrological forecasts on the management and revenue of hydroelectric reservoirs – a conceptual approach. Hydrology and Earth System Sciences, European Geosciences Union, 2021, 25 (2), pp.1033-1052. ⟨10.5194/hess-25-1033-2021⟩. ⟨hal-03266137⟩
  • Louise Crochemore, Maria-Helena Ramos, I. Pechlivanidis. Can Continental Models Convey Useful Seasonal Hydrologic Information at the Catchment Scale?. Water Resources Research, American Geophysical Union, 2020, 56 (2), ⟨10.1029/2019WR025700⟩. ⟨hal-03170429⟩
  • Alberto Assis Dos Reis, Wilson dos Santos Fernandes, Maria-Helena Ramos. Assessing two precipitation data sources at basins of special interest to hydropower production in Brazil. Revista Brasileria de Recursos Hidricos, Associação Brasileira de Recursos Hídricos, 2020, 25, ⟨10.1590/2318-0331.252020190068⟩. ⟨hal-03170779⟩
  • Vinícius Alencar Siqueira, Fernando Mainardi Fan, Rodrigo Cauduro Dias De Paiva, Maria-Helena Ramos, Walter Collischonn. Potential skill of continental-scale, medium-range ensemble streamflow forecasts for flood prediction in South America. Journal of Hydrology, Elsevier, 2020, 590, pp.125430. ⟨10.1016/j.jhydrol.2020.125430⟩. ⟨hal-03163965⟩
  • David Lavers, Maria-Helena Ramos, Linus Magnusson, Ilias Pechlivanidis, Bastian Klein, et al.. A Vision for Hydrological Prediction. Atmosphere, MDPI 2020, 11 (237), ⟨10.3390/atmos11030237⟩. ⟨hal-03170361⟩
  • J. Viatgé, Lionel Berthet, R. Marty, François Bourgin, O. Piotte, et al.. Vers une production en temps réel d'intervalles prédictifs associés aux prévisions de crue dans Vigicrues en France. La Houille Blanche - Revue internationale de l'eau, EDP Sciences, 2019, pp.63-71. ⟨10.1051/lhb/2019016⟩. ⟨hal-02610239⟩
  • Alban de Lavenne, Vazken Andréassian, Guillaume Thirel, M.-H. Ramos, C. Perrin. A regularization approach to improve the sequential calibration of a semi-distributed hydrological model. Water Resources Research, American Geophysical Union, 2019, 55 (11), pp.8821-8839. ⟨10.1029/2018WR024266⟩. ⟨hal-02609890⟩
  • Gunter Bloschl, Marc Bierkens, Antonio Chambel, Christophe Cudennec, Georgia Destouni, et al.. Twenty-three unsolved problems in hydrology (UPH) – a community perspective. Hydrological Sciences Journal, Taylor & Francis, 2019, 64 (10), pp.1141-1158. ⟨10.1080/02626667.2019.1620507⟩. ⟨hal-02280747⟩
  • K. Engeland, M. Borga, J.D. Creutin, B. Francois, M.H. Ramos, et al.. Space-time variability of climate variables and intermittent renewable electricity production. A review. Renewable and Sustainable Energy Reviews, Elsevier, 2017, 79, pp.600-617. ⟨10.1016/j.rser.2017.05.046⟩. ⟨hal-01555809⟩
  • A. Thiboult, F. Anctil, M.H. Ramos. How does the quantification of uncertainties affect the quality and value of flood early warning systems?. Journal of Hydrology, Elsevier, 2017, 551, pp.365-373. ⟨10.1016/j.jhydrol.2017.05.014⟩. ⟨hal-02608755⟩
  • L. Crochemore, M.H. Ramos, F. Pappenberger, C. Perrin. Seasonal streamflow forecasting by conditioning climatology with precipitation indices. Hydrology and Earth System Sciences, European Geosciences Union, 2017, 21 (3), pp.1573-1591. ⟨10.5194/hess-21-1573-2017⟩. ⟨hal-01599733⟩
  • Tianming Zhao, J.C. Bennett, Q.J. Wang, A. Schepen, A.W. Wood, et al.. How Suitable is Quantile Mapping For Postprocessing GCM Precipitation Forecasts?. Journal of Climate, American Meteorological Society, 2017, 30, pp.3185-3196. ⟨10.1175/JCLI-D-16-0652.1⟩. ⟨hal-02606403⟩
  • L. Crochemore, M.H. Ramos, F. Pappenberger. Bias correcting precipitation forecasts to improve the skill of seasonal streamflow forecasts. Hydrology and Earth System Sciences, European Geosciences Union, 2016, 20 (9), pp.3601-3618. ⟨10.5194/hess-20-3601-2016⟩. ⟨hal-01502170⟩
  • Bart J.J.M. van Den Hurk, Laurens M. Bouwer, Carlo Buontempo, Ralf Doscher, Ertug Ercin, et al.. Improving predictions and management of hydrological extremes through climate services. Climate services, Elsevier, 2016, 1, pp.6-11. ⟨10.1016/j.cliser.2016.01.001⟩. ⟨hal-01585296⟩
  • A. Barillier, G. Caignaert, V. Gouraud, M.H. Ramos, D. Roult, et al.. Environnement & Hydroélectricité : HydroES 2016 : Synthèse de la conférence internationale organisée par la SHF les 16 et 17 mars 2016 à Grenoble. La Houille Blanche - Revue internationale de l'eau, EDP Sciences, 2016, pp.64-67. ⟨10.1051/lhb/2016052⟩. ⟨hal-01599366⟩
  • L. Arnal, M.H. Ramos, E. Coughlan de Perez, H.L. Cloke, E. Stephens, et al.. Willingness-to-pay for a probabilistic flood forecast: a risk-based decision-making game. Hydrology and Earth System Sciences, European Geosciences Union, 2016, 20, pp.3109-3128. ⟨10.5194/hess-20-3109-2016⟩. ⟨hal-01529638⟩
  • A. Caseri, M.H. Ramos, P. Javelle, E. Leblois. A space-time geostatistical approach for ensemble rainfall nowcasting. E3S Web of Conferences, EDP Sciences, 2016, 7, pp.18001. ⟨10.1051/e3sconf/20160718001⟩. ⟨hal-01513402⟩
  • T. C. Pagano, F. Pappenberger, A. W. Wood, M.-H. Ramos, A. Persson, et al.. Automation and human expertise in operational river forecasting.. Wiley Interdisciplinary Reviews: Water, Wiley, 2016, 3 (5), pp.692-705. ⟨10.1002/wat2.1163⟩. ⟨hal-01529615⟩
  • F. Pappenberger, M.H. Ramos, H.L. Cloke, F. Wetterhall, L. Alfieri, et al.. How do I know if my forecasts are better ? Using benchmarks in hydrological ensemble prediction. Journal of Hydrology, Elsevier, 2015, 522, pp.697-713. ⟨hal-02601881⟩
  • F. Fan, M.H. Ramos, W. Collischonn. De l'utilisation de prévisions hydrologiques probabilistes pour la prise de décision. Revista Brasileira de Recursos Hidricos, 2015, 20 (4), pp.914-926. ⟨hal-02602377⟩
  • A. Caseri, P. Javelle, M.H. Ramos, Etienne Leblois. Generating precipitation ensembles for flood alert and risk management. Journal of Flood Risk Management, Wiley, 2015, 9 (4), pp.402-415. ⟨10.1111/jfr3.12203⟩. ⟨hal-02601879⟩
  • L. Crochemore, M.H. Ramos, F. Pappenberger, S.-J. van Andel, W.A. Wood. An experiment on risk-based decision-making in water management using monthly probabilistic forecasts. Bulletin of the American Meteorological Society, American Meteorological Society, 2015, 97 (4), pp.541-551. ⟨10.1175/BAMS-D-14-00270.1⟩. ⟨hal-01469278⟩
  • I. La Jeunesse, A. Opeicle, C. Larrue, C. Furusho, M.H. Ramos, et al.. Gouvernance de la sécheresse : le cas du bassin versant de la Vilaine aval (Bretagne, France). Sciences Eaux & Territoires, INRAE, 2015, Hors série (20), 6 p. ⟨10.14758/SET-REVUE.2015.HS.03⟩. ⟨hal-01140264⟩
  • I. La Jeunesse, A. Opeicle, C. Larrue, C. Furusho, M.H. Ramos, et al.. Gouvernance de la sécheresse : le cas du bassin versant de la Vilaine aval (Bretagne, France) . Sciences Eaux & Territoires, INRAE, 2015. ⟨halshs-01250599⟩
  • François Bourgin, M.H. Ramos, Guillaume Thirel, Vazken Andréassian. Investigating the interactions between data assimilation and post-processing in hydrological ensemble forecasting. Journal of Hydrology, Elsevier, 2014, 519 (Part D), pp.2775-2784. ⟨10.1016/j.jhydrol.2014.07.054⟩. ⟨hal-02600032⟩
  • T.C. Pagano, A.W. Wood, M.H. Ramos, H.L. Cloke, F. Pappenberger, et al.. Challenges of operational river forecasting. Journal of Hydrometeorology, American Meteorological Society, 2014, 15, pp.1692-1707. ⟨10.1175/JHM-D-13-0188.1⟩. ⟨hal-01132102⟩
  • Baptiste François, M. Borga, Sandrine Anquetin, Jean Dominique Creutin, Kolbjørn Engeland, et al.. Integrating hydropower and intermittent climate-related renewable energies: a call for hydrology. Hydrological Processes, Wiley, 2014, 28 (21), pp.5465-5468. ⟨10.1002/hyp.10274⟩. ⟨hal-02600685⟩
  • A. Randrianasolo, Guillaume Thirel, M.H. Ramos, E. Martin. Impact of streamflow data assimilation and length of the verification period on the quality of short-term ensemble hydrologic forecasts. Journal of Hydrology, Elsevier, 2014, 519 (Part D), pp.2676-2691. ⟨10.1016/j.jhydrol.2014.09.032⟩. ⟨hal-02600710⟩
  • H.L. Cloke, F. Pappenberger, S.J. van Andel, J. Schaake, J. Thielen, et al.. Hydrological ensemble prediction systems: preface. Hydrological Processes, Wiley, 2013, 27, pp.1-4. ⟨10.1002/hyp.9679⟩. ⟨hal-02600711⟩
  • M.H. Ramos, S.J. van Andel, F. Pappenberger. Do probabilistic forecasts lead to better decisions?. Hydrology and Earth System Sciences, European Geosciences Union, 2013, 17, pp.2219-2232. ⟨10.5194/hess-17-2219-2013⟩. ⟨hal-01132120⟩
  • Vazken Andréassian, Nicolas Le Moine, C. Perrin, M.H. Ramos, Ludovic Oudin, et al.. All that glitters is not gold: the case of calibrating hydrological models. Hydrological Processes, Wiley, 2012, 26, p. 2206 - p. 2210. ⟨10.1002/hyp.9264⟩. ⟨hal-00737778⟩
  • I. Zalachori, M.H. Ramos, R. Garçon, T. Mathevet, J. Gailhard. Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies. Advances in Science & Research, 2012, 8, p. 135 - p. 141. ⟨10.5194/asr-8-135-2012⟩. ⟨hal-00763615⟩
  • Pierre Nicolle, Audrey Valéry, M.H. Ramos, C. Perrin, Vazken Andréassian. Mieux prévoir les crues nivales : évaluation de prévisions probabilistes de débit sur des bassins versants de montagne français. La Houille Blanche - Revue internationale de l'eau, EDP Sciences, 2012, pp.26-33. ⟨10.1051/lhb/2012012⟩. ⟨hal-02597314⟩
  • J.A. Velazquez, F. Anctil, M.H. Ramos, C. Perrin. Can a multi-model approach improve hydrological ensemble forecasting? A study on 29 French catchments using 16 hydrological model structures. Advances in Geosciences, European Geosciences Union, 2011, 29, pp.33-42. ⟨10.5194/adgeo-29-33-2011⟩. ⟨hal-02594774⟩
  • A. Ben Daoud, Eric Sauquet, M. Lang, M.H. Ramos. Peut-on étendre l'échéance de prévision des crues en optimisant la prévision de pluies par recherche d'analogues ? Application au bassin de la Seine à Paris. La Houille Blanche - Revue internationale de l'eau, EDP Sciences, 2011, 1 (1), pp.37-43. ⟨10.1051/lhb/2011004⟩. ⟨hal-01098303⟩
  • A. Randrianasolo, M.H. Ramos, Vazken Andréassian. Hydrological ensemble forecasting at ungauged basins: using neighbour catchments for model setup and updating. Advances in Geosciences, European Geosciences Union, 2011, 29, pp.1-11. ⟨10.5194/adgeo-29-1-2011⟩. ⟨hal-02594771⟩
  • M.H. Ramos, T. Mathevet, J. Thielen, F. Pappenberger. Communicating uncertainty in hydro-meteorological forecasts: mission impossible?. Meteorological Applications, Wiley, 2010, 17, pp.223-235. ⟨10.1002/met.202⟩. ⟨hal-02593629⟩
  • A. Randrianasolo, M.H. Ramos, Guillaume Thirel, Vazken Andréassian, E. Martin. Comparing the scores of hydrological ensemble forecasts issued by two different hydrological models. Atmospheric Science Letters, Wiley, 2010, 11 (2), pp.100-107. ⟨10.1002/asl.259⟩. ⟨hal-02593630⟩
  • Vazken Andréassian, C. Perrin, L. Berthet, N. Le Moine, J. Lerat, et al.. Crash tests for a standardized evaluation of hydrological models. Hydrology and Earth System Sciences Discussions, European Geosciences Union, 2009, p. 1757 - p. 1764. ⟨hal-00455623⟩
  • J. Thielen, J. Bartholmes, M.H. Ramos, A. de Roo. The European Flood Alert System Part 1: Concept and development. Hydrology and Earth System Sciences, European Geosciences Union, 2009, 13, pp.125-140. ⟨hal-02591964⟩
  • J.C. Bartholmes, J. Thielen, M.H. Ramos, S. Gentilini. The european flood alert system EFAS Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts. Hydrology and Earth System Sciences, European Geosciences Union, 2009, 13, pp.141-153. ⟨hal-02591965⟩
  • J. C. Bartholmes, J. Thielen, M. H. Ramos, S. Gentilini. The European Flood Alert System EFAS ? Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts. Hydrology and Earth System Sciences Discussions, European Geosciences Union, 2008, 5 (1), pp.289-322. ⟨hal-00298926⟩
  • Eric Sauquet, Maria-Helena Ramos, Laetitia Chapel, Pietro Bernardara. Streamflow scaling properties: investigating characteristic scales from different statistical approaches. Hydrological Processes, Wiley, 2008, 22, pp.3462-3475. ⟨hal-00616772⟩
  • Eric Sauquet, M.H. Ramos, L. Chapel, P. Bernardara. Stream flow scaling properties: investigating characteristic scales from different statistical approaches. Hydrological Processes, Wiley, 2008, 22, pp.3462-3475. ⟨10.1002/hyp.6952⟩. ⟨hal-02590844⟩
  • J. Thielen, J. Bartholmes, M.-H. Ramos, A. de Roo. The European Flood Alert System – Part 1: Concept and development. Hydrology and Earth System Sciences Discussions, European Geosciences Union, 2008, 5 (1), pp.257-287. ⟨10.5194/hess-13-125-2009⟩. ⟨hal-00330814⟩
  • J. Younis, M.H. Ramos, J. Thielen. EFAS forecasts for the MarchApril 2006 flood in the Czech part of the Elbe River Basin a case study. Atmospheric Science Letters, Wiley, 2008, 9 (2), pp.88-94. ⟨10.1002/asl.179⟩. ⟨hal-02591160⟩
  • M.H. Ramos, J. Bartholmes, J. Thielen del Pozo. Development of decision support products based on ensemble forecasts in the European flood alert system. Atmospheric Science Letters, Wiley, 2007, 8, pp.113-119. ⟨10.1002/asl.161⟩. ⟨hal-02589839⟩
  • Maria-Helena Ramos, Etienne Leblois, Jean-Dominique Creutin. From point to areal rainfall: linking the different approaches for the frequency characterisation of rainfalls in urban areas. Water Science and Technology, IWA Publishing, 2006, 54 (6-7), pp.33 à 40. ⟨10.2166/wst.2006.613⟩. ⟨insu-00385869⟩
  • Maria Helena Ramos, Jean-Dominique Creutin, Etienne Leblois. Visualization of storm severity. Journal of Hydrology, Elsevier, 2005, 315 (1-4), pp.295 à 307. ⟨10.1016/j.jhydrol.2005.04.007⟩. ⟨insu-00385384⟩
  • M.H. Ramos. La désagrégation de l'information de pluie. La Houille Blanche - Revue internationale de l'eau, EDP Sciences, 2003, pp.123-128. ⟨hal-02583451⟩

Book sections8 documents

  • H. Cloke, G. Di Baldassarre, O. Landeg, F. Pappenberger, M.-H. Ramos. Hydrological risk: floods. Science for disaster risk management 2017: knowing better and losing less. Poljanšek, K., Marín Ferrer, M., De Groeve, T., Clark, I., (Eds.), Publications Office of the European Union, pp.198-238, 2017, ⟨10.2788/688605⟩. ⟨hal-02165196⟩
  • C. Furusho, R. Vidaurre, I. La Jeunesse, M.H. Ramos. Cross-cutting Perspective Freshwater. Governance for Drought Resilience - Land and Water Drought Management in Europe, H. Bressers et al., pp.217-230, 2016, 978-3-319-29669-2. ⟨10.1007/978-3-319-29671-5_11⟩. ⟨hal-01362683⟩
  • I. La Jeunesse, C. Larrue, C. Furusho, M.H. Ramos, A. Browne, et al.. The Governance Context of Drought Policy and Pilot Measures for the Arzal Dam and Reservoir, Vilaine Catchment, Brittany, France. Hans Bressers, Nanny Bressers, Corinne Larrue. Governance for Drought Resilience - Land and Water Drought Management in Europe, Springer, pp.109-138, 2016, 978-3-319-29669-2. ⟨10.1007/978-3-319-29671-5_6⟩. ⟨hal-01368211⟩
  • J.-P. Arrondeau, A. Penasso, M.-H. Ramos, Louise Crochemore. Pilot Freshwater. DROP Handbook (Practice measures example book, Benefit of governance in DROught adaptation - A handbook for regional water authorities), Bressers, N. (ed), DROP Project, pp.41-47, 2015. ⟨hal-02602378⟩
  • C. Perrin, M.H. Ramos, Vazken Andréassian, Pierre Nicolle, Louise Crochemore, et al.. Improved rainfall-runoff modelling tools for low-flow forecasting: Application to French catchments. Drought: Research and Science-Policy Interfacing, CRC Press Taylor & Francis Group, pp.259-265, 2015, 978-1-138-02779-4. ⟨hal-02602068⟩
  • M.H. Ramos, J. Thielen, A. de Roo, J.M. Tanguy. Ensemble hydrological forecasting and alert with the European Flood Alert System (EFAS): Case of the Danube basin floods in august 2005. Environmental hydraulics: Practical applications in engineering, 4, ISTE, Wiley, pp.47-61, 2010, 978-1-84821-156-8. ⟨hal-02594700⟩
  • M.H. Ramos, J. Thielen, A. de Roo. Prévision hydrologique d'ensemble et alerte avec le Système européen d'alerte aux crues (EFAS) : cas des crues du bassin du Danube en août 2005. Traité d'hydraulique environnementale - Volume 7 : applications des modèles numériques en ingénierie 1, Ed. Hermès Lavoisier, pp.11, 2009, 2-7462-2337-6. ⟨hal-02592523⟩
  • Lionel Berthet, M.H. Ramos, C. Perrin, Vazken Andréassian, C. Loumagne. Can discharge assimilation methods be used to improve flood forecasting when few data are available?. IAHS Red Books Publications : News approaches to hydrological prediction in data sparse regions, 333, IAHS, pp.94-100, 2009, 978-1-907161-04-9. ⟨hal-02593013⟩

Conference papers70 documents

  • Daniela Peredo, Maria-Helena Ramos, Vazken Andréassian, Ludovic Oudin. Adaptation d’un modèle GR semi-distribué pour la simulation des crues extrêmes. 4es Rencontres HydroGR, Dec 2021, Antony, France. ⟨hal-03537026⟩
  • Christophe Cudennec, Berit Arheimer, Günter Blöschl, Maria-Helena Ramos, Elena Toth. The community consultation process leading to the compilation of the 23 Unsolved Problems in Hydrology (UPH). 22nd EGU General Assembly, May 2020, On Line, France. ⟨10.5194/egusphere-egu2020-11302⟩. ⟨hal-03462011⟩
  • Olivier Payrastre, Vazken Andréassian, Sandrine Anquetin, Patrick Arnaud, Xavier Beaufils, et al.. Améliorer la prévision immédiate des crues soudaines et de leurs impacts: le projet de recherche ANR PICS (France). De la prévision des crues à la gestion de crise, Nov 2018, Avignon, France. 9 p. ⟨hal-02608805⟩
  • M.H. Ramos, S.J. van Andel, F. Pappenberger, Louise Crochemore, A. Wood, et al.. Role-play games to advance probabilistic forecasting in hydrology. EGU General Assembly 2018, Apr 2018, Vienna, Austria. pp.1. ⟨hal-02608765⟩
  • M. Cassagnole, M.H. Ramos. La valorisation économique des prévisions hydrologiques. 10ème journée technique des prévisionnistes de l'EP Loire et du SPC Loire - Cher - Indre, May 2018, Orléans, France. pp.24. ⟨hal-02608768⟩
  • M.H. Ramos. Hydrological Products. WMO Global Conference on "Prosperity through Hydrological Services", May 2018, Geneva, Switzerland. pp.33. ⟨hal-02608769⟩
  • M.H. Ramos, F. Pappenberger, A. Wood, F. Wetterhall, Qj. Wang, et al.. The history of HEPEX - a community of practice in hydrologic prediction. EGU General Assembly 2018, Apr 2018, Vienna, Austria. pp.1. ⟨hal-02608763⟩
  • M.H. Ramos. Prévision saisonnière des débits : comment dépasser l'usage de la climatologie ?. Rencontres R&D 2018 Météo-France, Jun 2018, Toulouse, France. pp.19. ⟨hal-02608767⟩
  • M.H. Ramos. Which governance to foster drought adaptation in agriculture?. 8th World Water Forum, Mar 2018, Brasilia, Brazil. pp.3. ⟨hal-02608771⟩
  • M.H. Ramos, J. Demargne, P. Javelle. Contribution of ensemble forecasting approaches to flash flood nowcasting at gauged and ungauged catchments. 7th HEPEX workshop "Breaking the barriers", Feb 2018, Melbourne, Australia. ⟨hal-02608775⟩
  • M.H. Ramos, E. Talès, Jérôme Belliard, Céline Le Pichon, G. Tallec, et al.. Case study presentation on the preservation of ecological continuity in watercourses (e.g. removal of weirs) and the role of nature-based solutions in reducing hydro-meteorological risks in the Grand Morin basin. 8th World Water Forum, Mar 2018, Brasilia, Brazil. pp.3. ⟨hal-02608770⟩
  • Eric Sauquet, M.H. Ramos, M. Cassagnole, Jean-Philippe Vidal, F. Branger. Usage et mobilisation des ressources en eau. Colloque Eau & énergie, Société du Canal de Provence, Nov 2018, Le Tholonet, France. pp.15. ⟨hal-02608096⟩
  • François Bourgin, Maria-Helena Ramos, Charles Perrin, Benjamin Renard. Hydrological-oriented verification for ensemble forecasting systems: the case of the PIT diagram. EGU General Assembly 2017, Apr 2017, Vienne, Austria. ⟨hal-02606232⟩
  • M.H. Ramos. Overview of Imprex: Improving predictions and management of hydrological extremes. Water JPI Exploratory Workshop, Nov 2017, Dublin, Ireland. pp.9. ⟨hal-02608772⟩
  • L. Arnal, F. Pappenberger, M.H. Ramos, H. Cloke, Louise Crochemore, et al.. Pathways to designing and running an operational flood forecasting system: an adventure game!. EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1. ⟨hal-02606256⟩
  • J. Demargne, P. Javelle, D. Organde, C. Saint Aubin (de), M.H. Ramos. Hydrologic ensembles based on convection-permitting precipitation nowcasts for flash flood warnings. EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1. ⟨hal-02606263⟩
  • P. Mendoza, A. Wood, E. Clark, B. Nijssen, M. Clark, et al.. Improving medium-range ensemble streamflow forecasts through statistical post-processing. EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1. ⟨hal-02606230⟩
  • J. Wijngaard, F. Liggins, B. Vd Hurk, D. Lavers, L. Magnusson, et al.. Improving Predictions and Management of Hydrological Extremes. EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1. ⟨hal-02606218⟩
  • F. Dottori, M. Kalaš, V. Lorini, A. Wania, F. Pappenberger, et al.. Satellites, tweets, forecasts: the future of flood disaster management?. EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1. ⟨hal-02606235⟩
  • Louise Crochemore, I. Pechlivanidis, M.H. Ramos. How to compare what seems incomparable in seasonal hydrological forecasting?. EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1. ⟨hal-02606226⟩
  • Tianming Zhao, A. Schepen, Jeffrey Bennett, Q. Wang, A. Wood, et al.. Should we use quantile mapping to post-process seasonal GCM precipitation forecasts?. EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1. ⟨hal-02606229⟩
  • M.H. Ramos, A. Castelletti, M. Pulido-Velazquez, D. Gustafsson. Weather and climate services for hydropower management. Hydropower and Environmental Sustainability, Mar 2016, Grenoble, France. 5 p. ⟨hal-01357057⟩
  • M.H. Ramos, A. Castelletti, M. Pulido-Velazquez, D. Gustafsson. Weather and climate services for hydropower management. Congrès SHF: "HydroES 2016", Mar 2016, Grenoble, France. 6 p. ⟨hal-02280306⟩
  • L. Arnal, M.H. Ramos, E. Coughlan, H.L. Cloke, E. Stephens, et al.. Willingness-to-pay for a probabilistic flood forecast : a risk-based decision-making game. EGU General Assembly 2016, Apr 2016, Vienna, Austria. 1 p. ⟨hal-01529271⟩
  • Alban de Lavenne, Guillaume Thirel, Vazken Andréassian, C. Perrin, M.H. Ramos. Spatial variability of the parameters of a semi-distributed hydrological model. 7th International Water Resources Management Conference of ICWRS, May 2016, Bochum, Germany. pp.87-94, ⟨10.5194/piahs-373-87-2016⟩. ⟨hal-01342122⟩
  • Alban de Lavenne, Guillaume Thirel, Vazken Andréassian, C. Perrin, M.H. Ramos. A sequential calibration strategy for an operational semi-distributed river flow model. Implementation all over France. GEWEX events: Including Water Management in Large Scale Models, Sep 2016, Gif-sur-Yvette, France. ⟨hal-02605873⟩
  • A. Wood, F. Wetterhall, M.H. Ramos. The Hydrologic Ensemble Prediction Experiment (HEPEX). EGU General Assembly, Apr 2015, Vienne, Austria. pp.1. ⟨hal-02601422⟩
  • Louise Crochemore, M.H. Ramos, F. Pappenberger. Assessing the skill of seasonal precipitation and streamflow forecasts in sixteen French catchments. EGU General Assembly, Apr 2015, Vienne, Austria. pp.1. ⟨hal-02601420⟩
  • J. Demargne, P. Javelle, D. Organde, A. Caseri, M.H. Ramos, et al.. Flow ensemble prediction for flash flood warnings at ungauged basins. EGU General Assembly, Apr 2015, Vienne, Austria. pp.1. ⟨hal-02601393⟩
  • Louise Crochemore, A. Penasso, M.H. Ramos, C. Perrin. Development of a drought forecasting system and reservoir management model for water supply: Case-study of the Arzal Dam (Brittany, France). International Union of Geodesy and Geophysics, Jun 2015, Prague, Czech Republic. pp.1. ⟨hal-02601950⟩
  • L. Arnal, E. Coughlan, M.H. Ramos, F. Pappenberger, F. Wetterhall, et al.. How much are you prepared to PAY for a forecast ?. EGU General Assembly, Apr 2015, Vienne, Austria. pp.1. ⟨hal-02601413⟩
  • A. Caseri, P. Javelle, M.H. Ramos, E. Leblois. Generating precipitation ensembles for flood alert and risk management. EGU General Assembly 2015, Apr 2015, Vienne, Austria. 1 p. ⟨hal-01280870⟩
  • François Bourgin, M.-H. Ramos, Guillaume Thirel, Vazken Andréassian. Investigating the interactions between data assimilation and post-processing in hydrological ensemble forecasting. EGU General Assembly 2015, Apr 2015, Vienne, Austria. ⟨hal-02601490⟩
  • M. Zappa, K. Liechti, F. Pappenberger, S.J. van Andel, M.H. Ramos. HEPS challenges the wisdom of the crowds : the PEAK-Box Game. Try it yourself !. EGU General Assembly 2014, Apr 2014, Vienne, Austria. ⟨hal-02599822⟩
  • J. Demargne, D. Organde, P. Javelle, M.H. Ramos, C. de Saint Aubin, et al.. Hydrologic ensembles for flash flood warnings at ungauged basins based on convection-permitting NWP forecasts. HEPEX 10th Anniversary Workshop, Jun 2014, Maryland, United States. pp.1. ⟨hal-02606087⟩
  • M.H. Ramos. The value of hydrological ensemble predictions for reservoir inflow management. H-SAF and HEPEX workshops on coupled hydrology, Nov 2014, Reading, United Kingdom. pp.16. ⟨hal-02600837⟩
  • A. Caseri, M.H. Ramos, P. Javelle, E. Leblois. Generating precipitation ensembles for flood alert and risk management. 6th International Conference on Flood Management (ICFM6), Sep 2014, Sao Paulo, Brazil. 9 p. ⟨hal-01118905⟩
  • K. Engeland, M. Borga, J.D. Creutin, M.H. Ramos, L. Tofte, et al.. Space-time dependence between energy sources and climate related energy production. European Geosciences Union General Assembly, Apr 2014, Vienne, Austria. ⟨hal-02599831⟩
  • Louise Crochemore, M.H. Ramos, C. Perrin, A. Penasso. Using seasonal forecasts in a drought forecasting system for water management : case-study of the Arzal dam in Brittany. European Geosciences Union General Assembly, Apr 2014, Vienne, Austria. ⟨hal-02599823⟩
  • M.H. Ramos, J.D. Creutin, K. Engeland, Bernadette François, Benjamin Renard. System’s flips in climate-related energy (CRE) systems. European Geosciences Union General Assembly, Apr 2014, Vienne, Austria. ⟨hal-02599828⟩
  • A. Ficchì, L. Raso, P.O. Malaterre, D. Dorchies, M. Jay Allemand, et al.. Short term reservoirs operation on the Seine River: performance analysis of Tree-Based Model Predictive Control. 11th International Conference on Hydroinformatics HIC 2014, Aug 2014, New York City, United States. pp.4. ⟨hal-02600860⟩
  • A. Ficchì, L. Raso, M. Jay Allemand, D. Dorchies, P.O. Malaterre, et al.. Reservoir's management on the Seine River using a centralized real-time controller and ensemble weather forecasting. IAHS/IAPSO/IASPEI Joint Assembly, Jul 2013, Gothenburg, Sweden. pp.24. ⟨hal-02598852⟩
  • C. Furusho, C. Perrin, Vazken Andréassian, M.H. Ramos. Modelo de previsão hidrológica: Critérios de avaliação e dinâmica da transferência de resultados de pesquisa aos serviços operacionais na França. XX Simpósio Brasileiro de Recursos Hídricos, Nov 2013, Bento Gonçalves, Brazil. 8 p. ⟨hal-00934817⟩
  • Pierre Nicolle, M.H. Ramos, Vazken Andréassian, A. Valery. Mieux prévoir les crues nivales : Evaluation de prévisions probabilistes de débit sur des bassins versants de montagne français. Colloque SHF : "L'eau en montagne, mieux observer pour mieux prévoir", Mar 2011, Lyon, France. p. 163 - p. 170. ⟨hal-00584138⟩
  • I. Zalachori, M.H. Ramos. Ensemble hydrological forecasting based on weather predictions from the TIGGE database. European Geosciences Union, General Assembly 2011, Apr 2011, Vienne, Austria. pp.1. ⟨hal-02595514⟩
  • F. Pappenberger, J. Thielen, H. Cloke, M.H. Ramos. Recent Advances and case studies in medium range flood forecasting: A follow on review. EGU General Assembly 2011, Apr 2011, Vienna, Austria. pp.1. ⟨hal-02595515⟩
  • I. Zalachori, A. Randrianasolo, M.H. Ramos. Impact of sample size on forecast verification scores and post processing parameters of hydrological ensemble predictions. HEPEX International workshop on Post-processing and Verification of hydrological ensemble predictions. UNESCO-IHE, Jun 2011, Delft, Netherlands. pp.1. ⟨hal-02595511⟩
  • I. Zalachori, A. Randrianasolo, M.H. Ramos. How much the length of data samples influences forecast verification and post processing of hydrological ensemble predictions?. European Geosciences Union, General Assembly 2011, Apr 2011, Vienne, Austria. pp.1. ⟨hal-02595513⟩
  • I. Zalachori, G. Gailhard, T. Mathevet, M.H. Ramos, R. Garcon. Post-processing approaches for hydrological ensemble predictions: a comparative study on two hydrological forecasting chains. 11th EMS Annual Meeting - 10th European Conference on Applications of Meteorology (ECAM), Sep 2011, Berlin, Germany. pp.1. ⟨hal-02596817⟩
  • A. Randrianasolo, M.H. Ramos, Vazken Andréassian. Flood prediction in ungauged catchments : reducing uncertainty with an optimum use of regional information. EGU Leonardo Conference on the Hydrological Cycle – Floods in 3D: Processes, Patterns, Predictions, Nov 2011, Bratislava, Slovakia. pp.1. ⟨hal-02596816⟩
  • M.H. Ramos, Audrey Valéry, Pierre Nicolle, Vazken Andréassian, C. Perrin, et al.. Ensemble prediction in snow-influenced catchments: what can be done to improve uncertainty quantification?. SINTEF-Cemagref International Workshop Towards a transdisciplinary partnership with water resource management stakeholders. Optimizing the water resource management and limiting consequences of natural risks, Jun 2011, Trondheim, Norway. pp.1-25. ⟨hal-02595510⟩
  • M.H. Ramos, A. Randrianasolo, I. Zalachori, Vazken Andréassian, C. Perrin, et al.. Evaluation des prévisions hydrologiques d'ensemble sur un large échantillon de bassins versants et ensembles météorologiques. Atelier France Québec en Prévisions hydrologiques d'ensemble, Apr 2011, Grenoble, France. pp.1. ⟨hal-02595512⟩
  • A. Ben Daoud, Eric Sauquet, M. Lang, M.H. Ramos. Peut-on étendre l'échéance de prévision des crues en optimisant la prévision de pluies par recherche d'analogues ? Application au bassin de la Seine à Paris. Colloque SHF : «risques inondation en Ile de France», Mar 2010, Paris, France. p. 33 - p. 40. ⟨hal-00505278⟩
  • A. Randrianasolo, M.H. Ramos, Vazken Andréassian. Probabilistic forecasting at ungauged basins: using neighbour catchments for model calibration and updating. 7th EGU General Assembly, May 2010, Vienna, Austria. 1 p. ⟨hal-00583219⟩
  • A. Randrianasolo, Guillaume Thirel, M.H. Ramos, E. Martin, Vazken Andréassian. Impact of streamflow data assimilation on the quality of ensemble short-term hydrological forecasts. 7th EGU General Assembly, May 2010, Vienna, Austria. 1 p. ⟨hal-00583775⟩
  • J.A. Velazquez, F. Anctil, M.H. Ramos, Charles Perrin. Comparison of the performance and reliability of 18 lumped hydrological models driven by ECMWF rainfall ensemble forecasts: a case study on 29 French catchments. 7th EGU General Assembly, May 2010, Vienna, Austria. 2 p. ⟨hal-00584134⟩
  • W.H.A. Weeink, M.H. Ramos, M.J. Booij, Vazken Andréassian, M.S. Krol. Defining critical thresholds for ensemble flood forecasting and warning. 7th EGU General Assembly, May 2010, Vienna, Austria. 1 p. ⟨hal-00584135⟩
  • T. Mathevet, M.H. Ramos, J. Gailhard, P. Bernard, R. Garcon. Estimating and communicating hydrometeorological uncertainty in a context of operational hydrological ensemble forecasts. 2010 AGU Fall Meeting, Dec 2010, San Francisco, United States. pp.1. ⟨hal-02593640⟩
  • I. Zalachori, M.H. Ramos, T. Mathevet, C. Loumagne. Evaluation of ensemble hydrological forecasts based on TIGGE weather predictions at different catchment scales. International Workshop on Data Assimilation for Operational Hydrologic Forecasting and Water Management, Nov 2010, Delft, Netherlands. pp.19-19. ⟨hal-02593644⟩
  • M.H. Ramos, I. Zalachori, T. Mathevet, C. Loumagne. Using the TIGGE database for ensemble hydrological forecasting: a study on 74 catchments in France. 2010 AGU Fall Meeting, Dec 2010, San Francisco, United States. pp.1. ⟨hal-02593638⟩
  • M.H. Ramos. Flood Forecasting and early warning: achievements and challenges. Talk given at University of Twente, Department of Water Engineering and Management, Apr 2010, Enschede, Netherlands. pp.1. ⟨hal-02593646⟩
  • M.H. Ramos. Perspectives de collaboration en modélisation et prévision hydrologiques. Séminaire Hydrologique, Chaire de recherche EDS en prévisions et actions hydrologiques, Université Laval, Jun 2010, Québec, Canada. pp.15. ⟨hal-02593647⟩
  • M.H. Ramos, T. Mathevet, J. Thielen, F. Pappenberger. Communicating uncertainty in hydrological forecasts: mission impossible?. 7th EGU General Assembly, May 2010, Vienna, Austria. 1 p. ⟨hal-00584132⟩
  • M.H. Ramos, Vazken Andréassian, C. Perrin, C. Loumagne. Evaluating hydrological ensemble predictions using a large and varied set of catchments. 2010 AGU Fall Meeting, Dec 2010, San Francisco, United States. pp.1. ⟨hal-02593637⟩
  • M.H. Ramos, Lionel Berthet, A. Randrianasolo, Vazken Andréassian, C. Perrin. Comparative studies on the use of streamflow data assimilation for short-term forecasting using deterministic or ensemble precipitation predictions. International Workshop on Data Assimilation for Operational Hydrologic Forecasting and Water Management, Nov 2010, Delft, Netherlands. pp.20. ⟨hal-02593642⟩
  • M.H. Ramos, Vazken Andréassian, M. Bourqui, J. Lerat, A. Randrianasolo, et al.. Peut-on prendre explicitement en compte la variabilité spatiale de la pluie à une échelle inférieure à celle de la maille hydrologique?. Séminaire "Lames d'eau radar et applications hydrologiques : avancées et perspectives", Jun 2009, Antony, France. pp.21. ⟨hal-02592185⟩
  • M.H. Ramos, Guillaume Thirel, Vazken Andréassian, E. Martin. Impact of the use of two different hydrological models on scores of hydrological ensemble forecasts. EGU General Assembly 2009, Apr 2009, Vienne, Austria. pp.1. ⟨hal-02595516⟩
  • L. Berthet, C. Perrin, Vazken Andréassian, M. Tangara, C. Loumagne, et al.. Comment passer d'un modèle hydrologique à un système de prévision des crues? Ecueils liés à la structure des modèles et aux échelles d'espace et de temps. Colloque SHF-191e CST Prévisions hydrométéorologiques, Nov 2008, Lyon, France. 10 p. ⟨hal-00468556⟩
  • M.H. Ramos. From point to areal rainfall: stochastic simulation of rainfall fields and applications in hydrology. Workshop LNHE-EDF Modélisation spatio-temporelle des pluies. Vers les besoins de l'hydrologie opérationnelle : raffinement des échelles et changement climatique, May 2008, Chatou, France. pp.4. ⟨hal-02595519⟩
  • M.H. Ramos, J. Thielen, F. Pappenberger. Utilisation de la prévision météorologique d'ensemble pour la prévision hydrologique opérationnelle et l'alerte aux crues. Colloque SHF 191e CST «Prévisions hydrométéorologiques», Nov 2008, Lyon, France. pp.191-199. ⟨hal-02591120⟩

Poster communications28 documents

  • Maria-Helena Ramos, Andrea Castelletti, Manuel Pulido-Velazquez, David Gustafsson, Matteo Giuliani, et al.. Policy brief: making climate services impactful on hydropower reservoir optimization. EGU General Assembly 2019, Apr 2019, Vienna, Austria. ⟨hal-03349678⟩
  • D. Peredo, C. Vrignaud, M.H. Ramos. Assessment of the 2016 flood event on the Seine and Loire river basins using ensemble forecasts. 7th HEPEX workshop "Breaking the Barriers", Feb 2018, Melbourne, Australia. 2018. ⟨hal-02608773⟩
  • M.H. Ramos, F. Wetterhall, A. Wood, Qj. Wang, F. Pappenberger, et al.. Does HEPEX need a new cutting edge ?. 7th HEPEX workshop "Breaking the Barriers", Feb 2018, Melbourne, Australia. pp.1, 2018. ⟨hal-02608774⟩
  • C. Perrin, Vazken Andréassian, M.H. Ramos, Guillaume Thirel, Pierre Nicolle, et al.. Empirical approach to hydrological modelling: a historical perspective in the case of the GR models. EGU General Assembly 2018, Apr 2018, Vienna, Austria. pp.1, 2018. ⟨hal-02607860⟩
  • Michel Werner, M.H. Ramos, F. Wetterhall, M. Cranston, S.-J. van Andel, et al.. Weighing costs and losses: A decision making game using probabilistic forecasts. EGU General Assembly 2017, Apr 2017, Vienna, Austria. Geophysical Research Abstracts, 19, pp.1, 2017. ⟨hal-02606228⟩
  • F. Dottori, M. Kalaš, V. Lorini, A. Wania, F. Pappenberger, et al.. Testing an innovative framework for flood forecasting, monitoring and mapping in Europe. EGU General Assembly 2017, Apr 2017, Vienna, Austria. Geophysical Research Abstracts, 19, pp.1, 2017. ⟨hal-02606254⟩
  • M.H. Ramos, F. Wetterhall, A. Wood, Q. Wang, F. Pappenberger, et al.. Role-play games, experiments, workshops, blog posts: how community activities in HEPEX contribute to advance hydrologic ensemble prediction. EGU General Assembly 2017, Apr 2017, Vienna, Austria. Geophysical Research Abstracts, 19, pp.1, 2017. ⟨hal-02606260⟩
  • Louise Crochemore, M.H. Ramos, F. Pappenberger, C. Perrin. On the impact of bias correcting and conditioning precipitation inputs on seasonal streamflow forecast quality. EGU General Assembly 2017, Apr 2017, Vienna, Austria. Geophysical Research Abstracts, 19, pp.1, 2017. ⟨hal-02606262⟩
  • Alban de Lavenne, Guillaume Thirel, Vazken Andréassian, C. Perrin, M.H. Ramos. A dam-reservoir module for a semi-distributed hydrological model. EGU General Assembly 2017, Apr 2017, Vienna, Austria. Geophysical Research Abstracts, 19, pp.1, 2017. ⟨hal-02606224⟩
  • M. Cassagnole, M.H. Ramos, Guillaume Thirel, J. Gailhard, R. Garcon. Is the economic value of hydrological forecasts related to their quality? Case study of the hydropower sector.. EGU General Assembly 2017, Apr 2017, Vienna, Austria. Geophysical Research Abstracts, 19, pp.1, 2017. ⟨hal-02606225⟩
  • Alban de Lavenne, Guillaume Thirel, Vazken Andréassian, C. Perrin, M.H. Ramos. A dam-reservoir module for a semi-distributed hydrological model. EGU General Assembly 2017, Apr 2017, Vienna, Austria. pp.1, 2017. ⟨hal-02606382⟩
  • F. Fan, R. Paiva, W. Collischonn, M.H. Ramos. Hydrological Forecasting Practices in Brazil. EGU General Assembly 2016, Apr 2016, Vienna, Austria. Geophysical Research Abstracts, 18, pp.1, 2016. ⟨hal-02603532⟩
  • F. Wetterhall, M.H. Ramos, Q. Wang, A. Wood. Hydrologic ensemble prediction: enhancing science, operation and application through HEPEX. EGU General Assembly 2016, Apr 2016, Vienna, Austria. Geophysical Research Abstracts, 18, pp.1, 2016. ⟨hal-02603533⟩
  • Michel Werner, J. Verkade, F. Wetterhall, S.-J. Van Andel, M.H. Ramos. The game of making decisions under uncertainty: How sure must one be?. EGU General Assembly 2016, Apr 2016, Vienna, Austria. Geophysical Research Abstracts, 18, pp.1, 2016. ⟨hal-02603534⟩
  • A. Caseri, M.H. Ramos, P. Javelle, Etienne Leblois. A space-time geostatistical framework for ensemble nowcasting using rainfall radar fields and gauge data. EGU General Assembly 2016, Apr 2016, Vienna, Austria. Geophysical Research Abstracts, 18, pp.1, 2016. ⟨hal-02603535⟩
  • B.J.J.M. van Den Hurk, J. Wijngaard, F. Pappenberger, L. Bouwer, A. Weerts, et al.. Improving Predictions and Management of Hydrological Extremes through Climate Services. EGU General Assembly, Apr 2016, Vienna, Austria. Geophysical Research Abstracts, 18, pp.1, 2016. ⟨hal-02603530⟩
  • Louise Crochemore, M.H. Ramos, F. Pappenberger. Bias correcting precipitation forecasts for extended-range skilful seasonal streamflow predictions. EGU General Assembly 2016, Apr 2016, Vienna, Austria. Geophysical Research Abstracts, 18, pp.1, 2016. ⟨hal-02603531⟩
  • Alban de Lavenne, Guillaume Thirel, Vazken Andréassian, C. Perrin, M.H. Ramos. Evaluation of a semi-distributed model through an assessment of the spatial coherence of Intercatchment Groundwater Flows. EGU General Assembly 2016, Apr 2016, Vienna, Austria. Geophysical Research Abstracts, 18, pp.1, 2016. ⟨hal-02603536⟩
  • Louise Crochemore, M.H. Ramos, F. Pappenberger, S.-J. van Andel, A. Wood. Risk-based decision making in water management using probabilistic forecasts: results from a game experiment. European Geosciences Union General Assembly, Apr 2014, Vienne, Austria. Geophysical Research Abstracts, 16, 2014. ⟨hal-02599826⟩
  • F. Pappenberger, M.H. Ramos, J. Thielen, A. Wood, Q. Wang, et al.. HEPEX - achievements and challenges !. European Geosciences Union General Assembly, Apr 2014, Vienne, Austria. Geophysical Research Abstracts, 16, 2014. ⟨hal-02599825⟩
  • F. Pappenberger, M.H. Ramos, H.L. Cloke, W. Fredrik, A. Lorenzo, et al.. How do I know if my forecasts are better? Using benchmarks in Hydrological Ensemble Predictions. European Geosciences Union General Assembly, Apr 2014, Vienne, Austria. Geophysical Research Abstracts, 16, 2014. ⟨hal-02599834⟩
  • Bernadette François, M. Borga, Sandrine Anquetin, J.D. Creutin, K. Engeland, et al.. Integrating hydropower and intermittent climate-related renewable energies: a call for hydrology. EGU General Assembly, Apr 2014, Vienna, Austria. 16, pp.1, 2014. ⟨hal-02600158⟩
  • J. Demargne, P. Javelle, D. Organde, M.-H. Ramos. Hydrologic Ensemble Forecasts for Flash Flood Warnings at Ungauged Locations. European Geosciences Union General Assembly 2013, Apr 2013, Vienna, Austria. pp.1, 2013. ⟨hal-02606045⟩
  • T. van Pham, M.H. Ramos, M. Booij, M. Krol. Tracking the uncertainty in streamflow prediction through a hydrological forecasting system. NCR DAYS 2011: CONTROLLING THE DUTCH RIVERS, Oct 2011, Delft, Netherlands. pp.1, 2011. ⟨hal-02596818⟩
  • Benjamin Renard, M.H. Ramos, M. Thyer, - J. Le Coz, F. Branger, et al.. Tracking the role of streamflow uncertainty in hydrological ensemble predictions. EGU General Assembly 2011, May 2011, Vienne, Austria. pp.1, 2011. ⟨hal-02595588⟩
  • W. Weeink, M.H. Ramos, M.J. Booij, Vazken Andréassian, M.S. Krol. Critical thresholds for ensemble flood forecasting and warning. International Workshop on Advances in Flood Forecasting and the Implications for Risk Management Alkmaar, May 2010, Enschede, Netherlands. pp.1, 2010. ⟨hal-02593649⟩
  • A. Randrianasolo, M.H. Ramos, Guillaume Thirel, Vazken Andréassian, E. Martin. Impact of the use of two different hydrological models on scores of hydrological ensemble forecasts. HEPEX09 Workshop, Jun 2009, Toulouse, France. pp.1, 2009. ⟨hal-02591963⟩
  • M.H. Ramos, Vazken Andréassian, J. Lerat, C. Perrin, M. Tangara. Sensitivity analysis of data assimilation strategies on flow prediction using a conceptual rainfall-runoff model for hydrological forecasting. EGU General Assembly 2008, Apr 2008, Vienne, Austria. Geophysical Research Abstracts, 10 (2008-07552), pp.1, 2008. ⟨hal-02595517⟩

Reports10 documents

  • Maria-Helena Ramos, Jeffrey Norville, Guillaume Thirel, Florian Pappenberger, Ilias Pechlivanidis. Verification score card. [Research Report] IRSTEA. 2019. ⟨hal-03350515⟩
  • Louise Arnal, Hannah Cloke, Linus Magnusson, Bastian Klein, Dennis Meissner, et al.. The sensitivity of sub-seasonal to seasonal streamflow forecasts to meteorological forcing quality, modelled hydrology and the initial hydrological conditions. [Research Report] IRSTEA. 2019. ⟨hal-03350525⟩
  • Maria-Helena Ramos, Charles Perrin, Vazken Andréassian, Olivier Delaigue, Julie ViatgÉ. Assessment report on the 2016 flood event on the Seine and Loire basins (France). [Other] European Flood Awareness System (EFAS) dissemination centre, Rijkswaterstaat (NL), SCHAPI (France), IRSTEA (France). 2017, pp.43. ⟨hal-03367563⟩
  • Eric Sauquet, J.D. Creutin, M.H. Ramos, Benjamin Renard, Jean-Philippe Vidal. Framework for impact and risk assessment in climate-related energies. COMPLEX Report D2.4. [Research Report] irstea. 2014, pp.66. ⟨hal-02600768⟩
  • B. Hingray, Sandrine Anquetin, M. Borga, J. Chardon, J.D. Creutin, et al.. Scoping report on downscaling of climate model outputs for CRE estimation. [Research Report] irstea. 2013, pp.85. ⟨hal-02599064⟩
  • K. Engeland, M. Borga, J.D. Creutin, M.H. Ramos, L. Tøfte, et al.. Scoping report on space-time dependence between energy sources and climate related energy production. [Research Report] irstea. 2013, pp.96. ⟨hal-02599065⟩
  • A. Randrianasolo, M.H. Ramos. Evaluation de la qualité des prévisions hydrologiques d'ensemble construites à partir des prévisions météorologiques d'ensemble de Météo-France (PEARP). [Rapport de recherche] irstea. 2011, pp.31. ⟨hal-02595518⟩
  • O. Oliver Olsson, M. Bauer, S. Barchiesi, J. Dalton, J. Froebrich, et al.. Guidance Document (D.3.2): Identified emerging issues from the round table discussion on environmental impacts of water scarcity and droughts. Part of Work Package 3: Environmental Impacts of Drought. XEROCHORE FP7 Project. [Research Report] irstea. 2010, pp.96. ⟨hal-02594011⟩
  • L. Wipfler, H. van Lanen, F. Ludwig, L.M. Tallaksen, A. Fleig, et al.. Extended Guidance: Document on the Natural System and Drought (D.1.2). Part of Work Package 1: Natural System XEROCHORE FP7 Project. [Research Report] irstea. 2010, pp.57. ⟨hal-02594012⟩
  • P.Y. Bourgin, F. Lobligeois, J. Peschard, Vazken Andréassian, N. Le Moine, et al.. Description des caractéristiques morphologiques, climatiques et hydrologiques de 4436 bassins versants français. Guide d'utilisation de la base de données hydro-climatique. [Rapport Technique] irstea. 2010, pp.37. ⟨hal-02596718⟩

Books1 document

  • Hans Bressers, N. Bressers, A. Browne, C. Furusho, I. Lajeunesse, et al.. Benefit of Governance in Drought Adaptation – Governance Assessment Guide. DROP Project, pp.24, 2015. ⟨hal-02602379⟩

Other publications2 documents

  • J.D. Creutin, M.H. Ramos, B. Hingray, Bernadette François, M. Borga, et al.. Science Policy Brief: a climate variability viewpoint on renewable energy and electricity systems. 2016, pp.4. ⟨hal-02604561⟩
  • F. Pappenberger, M. Zappa, P.J. Smith, M.H. Ramos, H.L. Cloke, et al.. Reply to HESS Opinions Ensemble, uncertainty and flood prediction by Dance and Zou, HESSD, 2010. 2010, pp.15. ⟨hal-02594785⟩

Habilitation à diriger des recherches1 document

  • M.H. Ramos. Qualité et valeur des prévisions hydrologiques d'ensemble. Sciences de l'environnement. HDR, Sorbonne Université, 2018. ⟨tel-02608754⟩