Articles | Volume 16, issue 24
https://doi.org/10.5194/gmd-16-7461-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-7461-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| Highlight paper
| 
21 Dec 2023
Model description paper | Highlight paper |
| 21 Dec 2023
| 21 Dec 2023
The Framework for Assessing Changes To Sea-level (FACTS) v1.0: a platform for characterizing parametric and structural uncertainty in future global, relative, and extreme sea-level change
Department of Earth and Planetary Sciences, Rutgers University, Piscataway, NJ, USA
Rutgers Climate and Energy Institute, Rutgers University, New Brunswick, NJ, USA
Gregory G. Garner
Department of Earth and Planetary Sciences, Rutgers University, Piscataway, NJ, USA
Rutgers Climate and Energy Institute, Rutgers University, New Brunswick, NJ, USA
current address: Gro Intelligence, New York, NY, USA
Tim H. J. Hermans
Department of Estuarine & Delta Systems, NIOZ Royal Netherlands Institute for Sea Research, Yerseke, the Netherlands
Institute for Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, the Netherlands
Shantenu Jha
Rutgers Climate and Energy Institute, Rutgers University, New Brunswick, NJ, USA
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA
Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, USA
Praveen Kumar
Department of Earth and Planetary Sciences, Rutgers University, Piscataway, NJ, USA
Rutgers Climate and Energy Institute, Rutgers University, New Brunswick, NJ, USA
Alexander Reedy
Department of Earth and Planetary Sciences, Rutgers University, Piscataway, NJ, USA
Rutgers Climate and Energy Institute, Rutgers University, New Brunswick, NJ, USA
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA
Aimée B. A. Slangen
Department of Estuarine & Delta Systems, NIOZ Royal Netherlands Institute for Sea Research, Yerseke, the Netherlands
Matteo Turilli
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA
Computational Science Initiative, Brookhaven National Laboratory, Upton, NY, USA
Tamsin L. Edwards
Department of Geography, King's College London, London, UK
Jonathan M. Gregory
Met Office Hadley Centre, Exeter, UK
National Centre for Atmospheric Science, University of Reading, Reading, UK
George Koubbe
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA
Anders Levermann
Potsdam Institute for Climate Impact Research, Potsdam, Germany
Physics Institute, Potsdam University, Potsdam, Germany
Andre Merzky
Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA
Sophie Nowicki
Department of Geology, University at Buffalo, Buffalo, NY, USA
Matthew D. Palmer
Met Office Hadley Centre, Exeter, UK
School of Earth Sciences, University of Bristol, Bristol, UK
Chris Smith
Priestley International Centre for Climate, University of Leeds, UK
Energy, Climate and Environment Program, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
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Cited
12 citations as recorded by crossref.
- Regional variations in relative sea-level changes influenced by nonlinear vertical land motion J. Oelsmann et al. 10.1038/s41561-023-01357-2
- Processes explaining increased ocean dynamic sea level in the North Sea in CMIP6 F. Jesse et al. 10.1088/1748-9326/ad33d4
- Real-world time-travel experiment shows ecosystem collapse due to anthropogenic climate change G. Li et al. 10.1038/s41467-024-45487-6
- Anomalous Meltwater From Ice Sheets and Ice Shelves Is a Historical Forcing G. Schmidt et al. 10.1029/2023GL106530
- Melting ice and rising seas – connecting projected change in Antarctica’s ice sheets to communities in Aotearoa New Zealand R. Levy et al. 10.1080/03036758.2023.2232743
- DSCIM-Coastal v1.1: an open-source modeling platform for global impacts of sea level rise N. Depsky et al. 10.5194/gmd-16-4331-2023
- Sea-Level Rise in Pakistan: Recommendations for Strengthening Evidence-Based Coastal Decision-Making J. Weeks et al. 10.3390/hydrology10110205
- Unprecedented Historical Erosion of US Gulf Coast: A Consequence of Accelerated Sea‐Level Rise? J. Anderson et al. 10.1029/2023EF003676
- Sea Level Rise Learning Scenarios for Adaptive Decision‐Making Based on IPCC AR6 V. Völz & J. Hinkel 10.1029/2023EF003662
- Communicating future sea-level rise uncertainty and ambiguity to assessment users R. Kopp et al. 10.1038/s41558-023-01691-8
- Urban Planning of Coastal Adaptation under Sea-Level Rise: An Agent-Based Model in the VIABLE Framework S. Sengupta et al. 10.3390/urbansci7030079
- Sea level rise projections up to 2150 in the northern Mediterranean coasts A. Vecchio et al. 10.1088/1748-9326/ad127e
3 citations as recorded by crossref.
- Regional variations in relative sea-level changes influenced by nonlinear vertical land motion J. Oelsmann et al. 10.1038/s41561-023-01357-2
- Processes explaining increased ocean dynamic sea level in the North Sea in CMIP6 F. Jesse et al. 10.1088/1748-9326/ad33d4
- Real-world time-travel experiment shows ecosystem collapse due to anthropogenic climate change G. Li et al. 10.1038/s41467-024-45487-6
9 citations as recorded by crossref.
- Anomalous Meltwater From Ice Sheets and Ice Shelves Is a Historical Forcing G. Schmidt et al. 10.1029/2023GL106530
- Melting ice and rising seas – connecting projected change in Antarctica’s ice sheets to communities in Aotearoa New Zealand R. Levy et al. 10.1080/03036758.2023.2232743
- DSCIM-Coastal v1.1: an open-source modeling platform for global impacts of sea level rise N. Depsky et al. 10.5194/gmd-16-4331-2023
- Sea-Level Rise in Pakistan: Recommendations for Strengthening Evidence-Based Coastal Decision-Making J. Weeks et al. 10.3390/hydrology10110205
- Unprecedented Historical Erosion of US Gulf Coast: A Consequence of Accelerated Sea‐Level Rise? J. Anderson et al. 10.1029/2023EF003676
- Sea Level Rise Learning Scenarios for Adaptive Decision‐Making Based on IPCC AR6 V. Völz & J. Hinkel 10.1029/2023EF003662
- Communicating future sea-level rise uncertainty and ambiguity to assessment users R. Kopp et al. 10.1038/s41558-023-01691-8
- Urban Planning of Coastal Adaptation under Sea-Level Rise: An Agent-Based Model in the VIABLE Framework S. Sengupta et al. 10.3390/urbansci7030079
- Sea level rise projections up to 2150 in the northern Mediterranean coasts A. Vecchio et al. 10.1088/1748-9326/ad127e
Latest update: 08 May 2024
Executive editor
This manuscript provides a novel and comprehensive assessment of uncertainty associated with sea level rise. The model description is thorough and it is applied to a number of possible scenarios. The conclusions are important for framing future discussions on sea level rise.
This manuscript provides a novel and comprehensive assessment of uncertainty associated with sea...
Short summary
Future sea-level rise projections exhibit multiple forms of uncertainty, all of which must be considered by scientific assessments intended to inform decision-making. The Framework for Assessing Changes To Sea-level (FACTS) is a new software package intended to support assessments of global mean, regional, and extreme sea-level rise. An early version of FACTS supported the development of the IPCC Sixth Assessment Report sea-level projections.
Future sea-level rise projections exhibit multiple forms of uncertainty, all of which must be...
