Abstract. 2D Free-surface hydraulic modeling tools are commonly used to assess flood hazard for production of maximal water depth (hmax) maps, as support for flood risk assessment. High Resolution (HR) topographic data are big data getting commonly available and used by hydraulic modeling community. Topographical information and its strategy of inclusion in models, are inputs of great importance for overland flow hmax calculation. To strengthen the assessment of confidence level in these deterministic hydraulic models outputs, uncertainty analysis (UA) and global sensitivity analysis (SA) can provide useful information that is required by practitioners and decision makers. UA and SA approaches allow to identify effective strategies to reduce the uncertainty of a model output. In this paper, developed approach consists in parameterizing three factors which introduce uncertainty related to HR topographic data use with hydraulic models: the measurement error (var. E), the level of details of above ground element representation in DEM (buildings, sidewalks, etc.) (var. S), and the spatial discretization resolution (grid cell size of a regular mesh) (var. R). Parameter var. E follows a probability density function whereas parameter var. S and var. R are discrete operator choices. The coupling of an environment for parametric computation (Prométhée) and a code relying on 2D shallow water equation (FullSWOF 2D), Promethée-FullSWOF 2D (P-FS) tool has been set up. P-FS tool allows launching directly numerous set of computation using R software. 1200 simulations of a river flood event scenario were performed on the regular computational mesh, spatially discretizing a 17.5 km 2 urban area (Nice, France). The aim is to produce UA over points of interests and SA through Sobol index maps production.