Feedback-based sea level rise impact modelling for integrated assessment models with FRISIAv1.0

Ramme, Lennart; Blanz, Benjamin; Wells, Christopher; Wong, Tony E.; Schoenberg, William; Smith, Chris; Li, Chao

doi:10.5194/gmd-18-10017-2025

Articles | Volume 18, issue 24

https://doi.org/10.5194/gmd-18-10017-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Collection:

The FRIDA model – a.k.a. “Feedback-based knowledge...

https://doi.org/10.5194/gmd-18-10017-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 24

Model description paper

| Highlight paper

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15 Dec 2025

Model description paper | Highlight paper |

| 15 Dec 2025

Feedback-based sea level rise impact modelling for integrated assessment models with FRISIAv1.0

Lennart Ramme, Benjamin Blanz, Christopher Wells, Tony E. Wong, William Schoenberg, Chris Smith, and Chao Li

Data sets

Publication data for "Feedback-based sea level rise impact modelling for integrated assessment models with FRISIAv1.0" Lennart Ramme https://doi.org/10.5281/zenodo.15249065

Model code and software

Feedback-based knowledge Repository for Integrated assessments of Sea-level rise Impacts and Adaptation version 1.0.1 (FRISIAv1.0.1) Lennart Ramme https://doi.org/10.5281/zenodo.17882696

FRIDA: Feedback-based knowledge Repository for IntegrateD Assessments W. Schoenberg et al. https://doi.org/10.5281/zenodo.15310859

WorldTransFRIDA-Uncertainty - Version used for FRISIAv1.0.1 B. Blanz et al. https://doi.org/10.5281/zenodo.17900463

Executive editor

Sea-level rise is a crucial concern, and a central channel through which climate change impacts human and natural systems. The FRISIA model introduced in this paper allows calculating sea-level rise and associated macro-economic damages as a function of climate forcers and socio-economic developments. It is designed to be coupled with other models, such as process-detailed Integrated Assessment Models, and therefore expcted to be of substantial value to the broader scientific community.