Flood damage functions for rice: synthesizing evidence and building data-driven models

Bill-Weilandt, Alina; Sairam, Nivedita; Wagenaar, Dennis; Rafiezadeh Shahi, Kasra; Kreibich, Heidi; Hamel, Perrine; Lallemant, David

doi:10.5194/nhess-26-925-2026

Articles | Volume 26, issue 2

https://doi.org/10.5194/nhess-26-925-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-26-925-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 26, issue 2

Research article

|

26 Feb 2026

Research article |

| 26 Feb 2026

Flood damage functions for rice: synthesizing evidence and building data-driven models

Alina Bill-Weilandt, Nivedita Sairam, Dennis Wagenaar, Kasra Rafiezadeh Shahi, Heidi Kreibich, Perrine Hamel, and David Lallemant

Supplement

https://doi.org/10.5194/nhess-26-925-2026-supplement

Data sets

Inventory of flood damage models and data for rice Alina Bill-Weilandt et al. https://doi.org/10.21979/N9/OZGWXE

Model code and software

ntu-dasl-sg/flood_damage_models_rice: Flood damage models for rice (flood-damage) Alina Bill-Weilandt https://doi.org/10.5281/zenodo.18472496

partykit: A Toolkit for Recursive Partytioning Torsten Hothorn and Achim Zeileis https://doi.org/10.32614/CRAN.package.partykit

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Short summary

Flooding is a major cause of agricultural loss globally. This study evaluates and compares flood damage models for rice crops. We present an inventory with 20 models from 12 countries, representing the most comprehensive review of such models for rice to date. The study offers practical guidance on model selection and expected errors when transferring models across regions. We provide models and lookup tables that can be used in flood risk assessments in rice-producing regions.