Assessing a Model-of-Models Approach for Global Flood Forecasting and Alerting
Author:
Affiliation:
1. U.S. Department of Energy, Washington, D.C., USA
2. ImageCat, Inc., Long Beach, CA, USA
3. Niyam IT, Leesburg, VA, USA
4. Indiana University, Bloomington, IN, USA
5. Bennett & Pless, Atlanta, GA, USA
6. University of Alabama, Tuscaloosa, AL, USA
Funder
NASA Disasters Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
https://ieeexplore.ieee.org/ielam/4609443/10330207/10504990-aam.pdf
Reference17 articles.
1. Flood exposure and poverty in 188 countries;Rentschler,2022
2. Projections of global-scale extreme sea levels and resulting episodic coastal flooding over the 21st century;Kirezci,2020
3. Author correction: A global analysis of subsidence, relative sea-level change and coastal flood exposure;Nicholls,2021
4. Global drivers of future river flood risk;Winsemius,2016
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