Aggregating flood damage functions: The peril of Jensen's gap
Abstract Flood risk models provide important information for disaster planning through estimating flood damage to exposed assets, such as houses. At large scales, computational constraints or data coarseness often lead modelers to aggregate asset data using a single statistic (e.g., the mean) prior...
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| Main Authors: | Seth Bryant, Jody Reimer, Heidi Kreibich, Bruno Merz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
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| Series: | Journal of Flood Risk Management |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/jfr3.13053 |
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