A 30 m resolution global fluvial–pluvial–coastal flood inundation model for any climate scenario
- 1Fathom, Bristol, UK (o.wing@fathom.global)
- 2School of Geographical Sciences, University of Bristol, Bristol, UK
- 3Geography, University of Exeter, Exeter, UK
- 4Department of Physical Geography, Utrecht University, Netherlands
- 5School of Ocean and Earth Science, National Oceanography Centre, University of Southampton, Southampton, UK
The past decade has seen considerable advances in the field of global flood modelling. In the 2010s, it began as a niche academic endeavour building models of the order 103 m horizontal resolution. In the 2020s, it is maturing into an established scientific discipline and yields profitable commercial ventures, with global models emerging of the order 101 m resolution.
Building on the original 102 resolution global inland flood model of Sampson et al. (2015) – with a hydraulic engine based on the sub-grid version of the LISFLOOD-FP local inertial formulation of the shallow water equations (Bates et al., 2010; Neal et al., 2012) – we present the critical advances required to create a ~30 m resolution model of considerably greater fidelity and functionality:
- Using FABDEM as the underlying elevation grid, a machine-learning correction of the Copernicus global digital surface model to a digital terrain model (Hawker et al., 2022).
- Representing river hydrography with MERIT-Hydro (Yamazaki et al., 2019), ensuring the correct alignment of river channels with valley bottoms.
- Estimating river bathymetry prior to inundation modelling with a gradually varied flow solver (Neal et al., 2021).
- Updating boundary condition generation models with new hydrometric datasets and machine-learning hydrologic regionalization techniques (e.g. Zhao et al., 2021).
- Driving a global coastal flood model with a tide–surge–wave regional frequency analysis using tide gauges and reanalyses (Sweet et al., 2020).
- Implementing known and estimated flood protection measures as a rapid and adaptable post-process.
- Generating global climate change factors for fluvial, pluvial, and coastal floods for any plausible 21st century climate state.
- Applying climate change factors as a tractable post-process to a set of multi-frequency flood maps.
These updates form the third version of Fathom's global flood maps. We show that these herald a new era of global flood modelling precision and accuracy, with additional utility wrought from linking climate projections to high-resolution true hydrodynamic models at the global scale for the first time. We also chart the road ahead for global flood modelling: outlining the significant data and modelling challenges our community must address to continue on this unprecedented development trajectory.
References:
Bates, P., et al. (2010) https://doi.org/10.1016/j.jhydrol.2010.03.027
Hawker, L. & Uhe, P., et al. (2022) https://doi.org/10.1088/1748-9326/ac4d4f
Neal, J., et al. (2012) https://doi.org/10.1029/2012WR012514
Neal, J., et al. (2021) https://doi.org/10.1029/2020WR028301
Sampson, C., et al. (2015) https://doi.org/10.1002/2015WR016954
Sweet, W., et al. (2020) https://doi.org/10.3389/fmars.2020.581769
Yamazaki, D., et al. (2019) https://doi.org/10.1029/2019WR024873
Zhao, G., et al. (2021) https://doi.org/10.5194/hess-25-5981-2021
How to cite: Wing, O., Quinn, N., Uhe, P., Savage, J., Sampson, C., Addor, N., Lord, N., Collings, T., Hatchard, S., Hoch, J., Smith, A., Cooper, A., Bates, J., Wilkinson, H., Himsworth, S., Probyn, I., Haigh, I., Neal, J., and Bates, P.: A 30 m resolution global fluvial–pluvial–coastal flood inundation model for any climate scenario, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-6383, https://doi.org/10.5194/egusphere-egu23-6383, 2023.
