Building-level exposure asset value modelling for Germany: an Ahrweiler case study

Buhrmann, Aaron; Sairam, Nivedita; Nievas, Cecilia I.; Daniell, James E.; Kreibich, Heidi; Bryant, Seth

doi:10.5194/nhess-26-4785-2026

Articles | Volume 26, issue 10

https://doi.org/10.5194/nhess-26-4785-2026

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

https://doi.org/10.5194/nhess-26-4785-2026

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

Articles | Volume 26, issue 10

Research article

|

05 Oct 2026

Research article |

| 05 Oct 2026

Building-level exposure asset value modelling for Germany: an Ahrweiler case study

Aaron Buhrmann, Nivedita Sairam, Cecilia I. Nievas, James E. Daniell, Heidi Kreibich, and Seth Bryant

Supplement

https://doi.org/10.5194/nhess-26-4785-2026-supplement

Data sets

EGUSPHERE-2025-5172: Supplementary Data Table 1 A. Buhrmann https://doi.org/10.5281/zenodo.20633867

EHRE data extract for Ahrweiler C. Nievas https://doi.org/10.5281/zenodo.17317039

Sanitized data for "Building-level exposed asset values for Germany'' A. Buhrmann https://doi.org/10.5281/zenodo.20598311

Geometry data for ``Building-level exposed asset values for Germany'' A. Buhrmann https://doi.org/10.5281/zenodo.17249978

Model code and software

Restricted Software for Exposure modelling for Ahrweiler A. Buhrmann https://doi.org/10.5281/zenodo.17350703

Download

Article (6055 KB)
Full-text XML

Short summary

Our research lays the groundwork for the next generation of disaster risk modelling by improving how building-level value and use are estimated across Germany. By testing multiple data sources and methods, we identify a transparent, adaptable approach that enhances forecasts of damage and recovery – helping to protect lives, property, and communities.