[1] Amponsah, W. and al. “Integrated high-resolution dataset of high intensity European and Mediterranean flash floods”. In: ESSD (2018).
[2] Anggraheni, E. and al. “Assessing the role of spatial rainfall variability on watershed response based on weather radar data (A Case study of the Gard Region, France)”. In: IJT (2018).
[3] Annis, A. and Nardi, F. “Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping”. In: GIS (2019).
[4] Arnaud, P. and al. “Sensitivity of hydrological models to uncertainty in rainfall input,Sensibilité des modèles hydrologiques aux incertitudes dues à l’information pluviométrique”. In: HSJ (2011).
[5] Auger, L. and al. “AROME-NWC: A new nowcasting tool based on an operational mesoscale forecasting system”. In: QJRMS (2015).
[6] Batjes, N. and al. “Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019)”. In: ESSD (2020).
[7] Benner, P. and al. “A survey of projection-based model reduction methods for parametric dynamical systems”. In: SIAM review (2015).
[8] Berenguer, M. and al. “Hydrological validation of a radar-based nowcasting technique”. In: JHm (2005).
[9] Bessière, H. “Assimilation de données variationnelle pour la modélisation hydrologique distribuée des crues à cinétique rapide”. PhD thesis. 2008.
[10] Borga, M. and al. “Forensic analysis of flash flood response”. In: WIREs Water (2019).
[11] Bouttier, F. and Raynaud, L. “Clustering and selection of boundary conditions for limited-area ensemble prediction”. In: QJMS (2018).
[12] Bowler, N.E. and al. “STEPS: A probabilistic precipitation forecasting scheme which merges an extrapolation nowcast with downscaled NWP”. In: QJRMS (2006).
[13] Braud, I. and al. FloodScale : Observation et modélisation hydrométéorologique multi-échelles pour la compréhension et la simulation des crues éclairs, final. Tech. rep. 2019.
[14] Braud, I. and al. “The use of distributed hydrological models for the Gard 2002 flash flood event: Analysis of associated hydrological processes”. In: JoH (2010).
[15] Brisset, P. and al. “On the assimilation of altimetric data in 1D Saint–Venant river flow models”. In: AWR (2018).
[16] Caisse Centrale de Réassurance (CCR). Les catastrophes naturelles en France, bilan 1982-2019. Tech. rep. 2019.
[17] Caldas-Steinstraesser, J. G. and al. “Modified parareal method for solving the two-dimensional nonlinear shallow water equations using finite volumes”. In: SMAI-JCM (2020).
[18] Caseri, A. “Apport de la simulation conditionnelle géostatisque pour la prévision immédiate d’ensemble des pluies et l’alerte aux crues rapides”. PhD Thesis. 2017.
[19] Caseri, A. and al. “Generating precipitation ensembles for flood alert and risk management”. In: JoFRM (2016).
[20] Cassan, L. and al. “Velocity distribution in open channel flow with spatially distributed roughness”. In: EFM (2020).
[21] Castaings, W. and al. “Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods”. In: HESS (2009).
[22] Caumont, O. and al. “The heavy precipitation event of 14–15 October 2018 in the Aude catchment (...)” In: NHESSD (2020).
[23] Champeaux, J.-L. and al. “Les mesures de précipitations et l’estimation des lames d’eau à Météo-France : état de l’art et perspectives”. In: LHB (2009).
[24] CRED and UNISDR. The Human Cost of Weather Related Disasters - 1995-2015. 2015.
[25] Debionne, S. and al. “Assessment of commuters’ daily exposure to flash flooding over the roads of the Gard region, France”. In: JoH (2016).
[26] Diakakis, M. and al. “Proposal of a flash flood impact severity scale for the classification and mapping of flash flood impacts”. In: JoH (2020).
[27] Diakakis, M. and al. “Mapping and classification of direct flood impacts in the complex conditions of an urban environment. The case study of the 2014 flood in Athens, Greece”. In: Urb.WaterJ (2017).
[28] Douinot, A. and al. “Using a multi-hypothesis framework to improve the understanding of flow dynamics during flash floods”. In: HESS (2018).
[29] Eeckman, J. and al. “A multi-sourced assessment of the spatiotemporal dynamic of soil saturation in the MARINE flash flood model”. In: HESS (2020).
[30] Fernández-Pato, J. and al. “Rainfall/runoff simulation with 2D full shallow water equations : Sensitivity analysis and calibration of infiltration parameters”. In: JoH (2016).
[31] Flamig, Z. and al. “The Ensemble Framework For Flash Flood Forecasting (EF5) v1.2: description and case study”. In: GMD (2020).
[32] Folton, N. and al. “A 50-year analysis of hydrological trends and processes in a Mediterranean catchment”. In: HESS (2019).
[33] Foresti, L. and al. “Using a 10-year radar archive for nowcasting precipitation growth and decay: A probabilistic machine learning approach”. In: WAF (2019).
[34] Garambois, P.-A. and al. “Parameter regionalization for a processoriented distributed model dedicated to flash floods”. In: JoH (2015).
[35] Garambois, P.-A. and al. “Variational estimation of effective channel and ungauged anabranching river discharge from multi-satellite water heights of different spatial sparsity”. In: JoH (2020).
[36] Garambois, P.-A. and al. “Characterization of process-oriented hydrologic model behavior with temporal sensitivity analysis for flash floods in Mediterranean catchments”. In: HESS (2013).
[37] Gaume, E. and al. “A compilation of data on European flash floods”. In: JoH (2009).
[38] Gaume, E. and Payrastre, O. “Enseignements des inondations exceptionnelles des 21 et 22 mai 2012 à Nancy”. In: LHB (2020).
[39] Germann, U. and Zawadzki, I. “Scale dependence of the predictability of precipitation from continental radar images. Part II: Probability forecasts”. In: JoAM (2004).
[40] Germann, U. and Zawadzki, I. “Scale-Dependence of the Predictability of Precipitation from Continental Radar Images. Part I: Description of the Methodology”. In: MWR (2002).
[41] Grimaldi, S. and al. “Challenges, Opportunities, and Pitfalls for Global Coupled Hydrologic-Hydraulic Modeling of Floods”. In: WRR (2019).
[42] Guerber, T. “Modélisation hydrodynamique 2D d’écoulement à surface libre : termes sources d’échanges latéraux et assimilation de données, Master thesis”. 2020.
[43] Guinot, V. and al. “Flux closures and source term models for shallow water models with depth-dependent integral porosity”. In: AWR (2018).
[44] Haasdonk, B. and Ohlberger, M. “Efficient reduced models and a posteriori error estimation for parametrized dynamical systems by offline/online decomposition”. In: Math.CMDS (2011).
[45] Hesthaven, J. S. and Ubbiali, S. “Non-intrusive reduced order modeling of nonlinear problems using neural networks”. In: JCP (2018).
[46] Heuvelink, D. and al. “Hydrological application of radar rainfall nowcasting in the Netherlands”. In: Env. Int. J. (2020).
[47] Hocini, N. and al. “Performance of automated flood inundation mapping methods in a context of flash floods”. In: HESS (2020).
[48] Honnorat, M. and al. “Lagrangian data assimilation for river hydraulics simulations”. In: CVS (2009).
[49] Honnorat, M. and al. “Identification of equivalent topography in an open channel flow using Lagrangian data assimilation”. In: CVS (2010).
[50] Honnorat, M. and al. “Variational data assimilation for 2D fluvial hydraulics simulation”. In: CMWR XVI-Computational Methods for Water Ressources. Copenhagen, june 2006. (2006).
[51] Hosseiny, H. and al. “A Framework for Modeling Flood Depth Using a Hybrid of Hydraulics and Machine Learning”. In: NSR (2020).
[52] Hostache, R. and al. “Assimilation of spatially distributed water levels into a shallow-water flood model. Part II: Use of a remote sensing image of Mosel River”. In: JoH (2010).
[53] Hrachowitz, M. and al. “A decade of Predictions in Ungauged Basins (PUB)—a review”. In: HSJ (2013).
[54] Imhoff, R. O. and al. “Scaling Point-Scale (Pedo)transfer Functions to Seamless Large-Domain Parameter Estimates for High-Resolution Distributed Hydrologic Modeling: An Example for the Rhine River”. In: WRR (2020).
[55] IPCC. Global Warming of 1.5°C. Special Report. 2018.
[56] Javelle, P. and al. “Evaluating flash-flood warnings at ungauged locations using post-event surveys: a case study with the AIGA warning system”. In: HSJ (2014).
[57] Javelle, P. and al. “Flash flood warnings: Recent achievements in France with the national Vigicrues Flash system”. In: UNDRR GAR (2019).
[58] Jay-Allemand, M. and al. “On the potential of variational calibration for a fully distributed hydrological model: application on a Mediterranean catchment”. In: HESS (2020).
[59] Jehn, F. U. and al. “Using hydrological and climatic catchment clusters to explore drivers of catchment behavior”. In: HESS (2020).
[60] Kabir, S. and al. “A deep convolutional neural network model for rapid prediction of fluvial flood inundation”. In: JoH (2020).
[61] Kirstetter, P.-E. and al. “Comparison of TRMM 2A25 products, version 6 and version 7, with NOAA/NSSL ground radar-based national mosaic QPE”. In: JHM (2013).
[62] Lai, X. and Monnier, J. “Assimilation of spatially distributed water levels into a shallow-water flood model. Part I: Mathematical method and test case”. In: JoH (2009).
[63] Larnier, K. and al. “River discharge and bathymetry estimation from SWOT altimetry measurements”. In: IPSE (2020).
[64] Larnier, K. and Monnier, J. “Hybrid Neural Network - Variational Data Assimilation algorithm to infer river discharges from SWOTlike data”. In: NPGD (2020).
[65] Le Bihan, G. and al. “The challenge of forecasting impacts of flash floods: Test of a simplified hydraulic approach and validation based on insurance claim data”. In: HESS (2017).
[66] Le Coz, J. and al. “Performance of image-based velocimetry (LSPIV) applied to flash-flood discharge measurements in Mediterranean rivers”. In: JoH (2010).
[67] Liechti, K. and al. “The potential of radar-based ensemble forecasts for flash-flood early warning in the southern Swiss Alps”. In: HESS (2013).
[68] Lovat, A. and al. “Hydrometeorological evaluation of two nowcasting systems for Mediterranean heavy precipitation events with operational considerations”. In: HESS (2020).
[69] Maidment, D. R. “Conceptual Framework for the National Flood Interoperability Experiment”. In: JAWRA (2017).
[70] Mandapaka, P. V. and al. “Can Lagrangian Extrapolation of Radar Fields Be Used for Precipitation Nowcasting over Complex Alpine Orography?” In: WAF (2012).
[71] MEDDE. Première évaluation nationale des risques d’inondation. 2011.
[72] Merz, B. and al. “Impact Forecasting to Support Emergency Management of Natural Hazards”. In: Rev.Geoph (2020).
[73] Moncoulon, D. and al. “Analysis of the French insurance market exposure to floods: a stochastic model combining river overflow and surface runoff”. In: NHESS (2014).
[74] Monnier, J. and al. “Inverse algorithms for 2D shallow water equations in presence of wet dry fronts: Application to flood plain dynamics”.
In: AWR (2016).
[75] Munich, R.E. Munich RE: Year of the floods (2017), TOPICS GEO, p. 80. 2018.
[76] Naulin, J.-P. and al. “Spatially distributed flood forecasting in flash flood prone areas: Application to road network supervision in Southern France”. In: JoH (2013).
[77] Osinski, R. and Bouttier, F. “Short-range probabilistic forecasting of convective risks for aviation based on a lagged-average-forecast ensemble approach”. In: Met. App. J. (2018).
[78] Papagiannaki, K. and al. “Urban Area Response to Flash Flood-Triggering Rainfall, Featuring Human Behavioral Factors: The Case of 22 October 2015 in Attica, Greece”. In: WCS (2017).
[79] Payrastre, O. and al. “Integrated nowcasting of flash floods and related socio-economic impacts: The French ANR PICS project (2018-2021)”. In: EGU abstract (2019).
[80] Petrucci, O. and al. “Flood Fatalities in Europe, 1980-2018: Variability, Features, and Lessons to Learn”. In: Water (2019).
[81] Pons, F. and al. “Semi-automatic Maps for 2015 French Riviera Floods”. In: AH (2018).
[82] Pujol, L. and al. “Estimation of Multiple Inflows and Effective Channel by Assimilation of Multi-satellite Hydraulic Signatures : Case of the Ungauged Anabranching Negro River”. In: JoH (2020).
[83] Pujol, L. and al. “Integrated hydraulic-hydrological assimilation chain: towards multi-source data fusion from river network to headwaters”. In: Simhydro (2021).
[84] Pulkkinen, S. and al. “Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)”. In: GMD (2019).
[85] Raynaud, L. and al. “Object-based verification metrics applied to the evaluation and weighting of convective-scale precipitation forecasts”. In: QJRMS (2019).
[86] Rebolho, C. and al. “Inundation mapping based on reach-scale effective geometry”. In: HESS (2018).
[87] Rigo, T. and al. “An improved analysis of mesoscale convective systems in the western Mediterranean using weather radar”. In: AR (2019).
[88] Ritter, J. and al. “ReAFFIRM: Real-time Assessment of Flash Flood Impacts – a Regional high-resolution Method”. In: Env.Int. (2020).
[89] Roberts, N. M. and Lean, H. W. “Scale-Selective Verification of Rainfall Accumulations from High-Resolution Forecasts of Convective Events”. In: MWR (2008).
[90] Roux, H. and al. “A physically-based parsimonious hydrological model for flash floods in Mediterranean catchments”. In: NHESS (2011).
[91] Roux, H. and al. “Evaluation of two hydrometeorological ensemble strategies for flash-flood forecasting over a catchment of the eastern Pyrenees”. In: NHESS (2020).
[92] Rözer, V. and al. “Impact-Based Forecasting for Pluvial Floods”. In: EarthF. (2021).
[93] Ruin, I. and al. “Social and Hydrological Responses to Extreme Precipitations: An Interdisciplinary Strategy for Postflood Investigation”. In: WCS (2014).
[94] Saint-Martin, C. and al. “Assessing the exposure to floods to estimate the risk of flood-related damage in French Mediterranean basins”. In: E3S (2016).
[95] Saint-Martin, C. and al. “DamaGIS: A multisource geodatabase for collection of flood-related damage data”. In: ESSD (2018).
[96] Scheufele, K. and al. “Combining probabilistic precipitation forecasts from a nowcasting technique with a time-lagged ensemble”. In: Met.App (2014).
[97] Seed, A. W. and al. “Formulation and evaluation of a scale decomposition-based stochastic precipitation nowcast scheme”. In: WRR (2013).
[98] Seity, Y. and al. “The AROME-France convective-scale operational model”. In: MWR (2011).
[99] Shabou, S. and al. “MobRISK: a model for assessing the exposure of road users to flash flood events”. In: NHESS (2017).
[100] Sharghi, E. and al. “Application of different clustering approaches to hydroclimatological catchment regionalization in mountainous regions, a case study in Utah State”. In: JMS (2018).
[101] Silvestro, F. and al. “Impact-based flash-flood forecasting system: Sensitivity to high resolution numerical weather prediction systems and soil moisture”. In: JoH (2019).
[102] Stefanescu, R. and al. “Comparison of POD reduced order strategies for the nonlinear 2D shallow water equations”. In: IJNMF (2014).
[103] Stein, J. and Stoop, F. “Neighborhood-based contingency tables including errors compensation”. In: MWR (2019).
[104] Terti, G. and al. “Toward Probabilistic Prediction of Flash Flood Human Impacts”. In: Risk An. (2017).
[105] Terti, G. and al. “A Situation-Based Analysis of Flash Flood Fatalities in the United States”. In: BoAMS (2017).
[106] Tinard, P. and al. “Coupling a global climatic model with insurance impact models for flood and drought: an estimation of the financial impact of climate change”. In: E3S (2016).
[107] Uhe, P. and al. “Model cascade from meteorological drivers to river flood hazard: flood-cascade v1.0”. In: GMD (2020).
[108] UN. Sendai Framework for Disaster Risk Reduction 2015-2030. 2015.
[109] Vincendon, B. and al. “Modeling flash floods in southern France for road management purposes”. In: JoH (2016).
[110] Vincendon, B. and al. “Perturbation of convection-permitting NWP forecasts for flash-flood ensemble forecasting”. In: NHESS (2011).
[111] Vinet, F. and al. “Mapping Flood-Related Mortality in the Mediterranean Basin. Results from the MEFF v2.0 DB”. In: Water (2019).
[112] Zappa, M. and al. “Superposition of three sources of uncertainties in operational flood forecasting chains”. In: AR (2011).
[113] Zoccatelli, D. and al. “Spatial moments of catchment rainfall: Rainfall spatial organisation, basin morphology, and flood response”. In: HESS (2011).
