Articles | Volume 14, issue 6
Geosci. Model Dev., 14, 3295–3315, 2021
Geosci. Model Dev., 14, 3295–3315, 2021

Development and technical paper 04 Jun 2021

Development and technical paper | 04 Jun 2021

InundatEd-v1.0: a height above nearest drainage (HAND)-based flood risk modeling system using a discrete global grid system

Chiranjib Chaudhuri et al.

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Cited articles

Afshari, S., Tavakoly, A. A., Rajib, M. A., Zheng, X., Follum, M. L., Omranian, E., and Fekete, B. M.: Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model, J. Hydrol., 556, 539–556,, 2018. 
Albano, R., Sole, A., Adamowski, J., Perrone, A., and Inam, A.: Using FloodRisk GIS freeware for uncertainty analysis of direct economic flood damages in Italy, Int. J. Appl. Earth Obs. Geoinf., 73, 220–229,, 2018. 
Appelhans, T. and Fay, C.: leafgl: Bindings for Leaflet.glify. R package version 0.1.1, available at: (last access: 27 May 2021), 2019. 
Beaulieu, A. and Clavet, D.: Accuracy Assessment of Canadian Digital Elevation Data using ICESat, Photogramm. Eng. Remote Sensing, 75, 81–86,, 2009. 
Short summary
A flood risk estimation model for two study watersheds in Canada and an interactive visualization platform using publicly available hydrometric data are presented. The risk model uses a height above nearest drainage (HAND)-based solution for Manning’s formula and is implemented on a big-data discrete global grid system framework. Overall, the novel data model decreases processing time and provides easy parallelization, resulting in performance gains in online flood analytics.