What dataset should I choose? The influence of data choices on flood exposure estimations at national scales
- 1Department of Earth Sciences, Uppsala University, Uppsala, Sweden
- 2Centre of Natural Hazards and Disaster Science, Uppsala University, Uppsala Sweden
- 3School of Architecture and the Built Environment, KTH Royal Institute of Technology, Stockholm, Sweden
There are currently several large-scale gridded archives available for the study of flood exposure, and the results will inevitably depend on the datasets included in the analysis. The purpose of this work is to demonstrate how country flood exposure, here represented as the presence of population within floodplains, is influenced by dataset choices.
We conduct this geographical analysis in two parts. First, we conduct a global analysis showing how different flood exposure metrics influence comparisons between countries. Second, we overlay five commonly used gridded archives (three population archives and two floodplain archives) for 32 countries. The purpose is to quantify the influence of data choices, while also giving an overview of the various dataset methodologies. We finally zoom in on areas where the five datasets yield very dissimilar results, to exemplify typical differences among the datasets.
How to cite: Lindersson, S., Mård, J., Brandimarte, L., and Di Baldassarre, G.: What dataset should I choose? The influence of data choices on flood exposure estimations at national scales, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-12962, https://doi.org/10.5194/egusphere-egu21-12962, 2021.