Articles | Volume 16, issue 14
https://doi.org/10.5194/gmd-16-4331-2023
© 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-16-4331-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
DSCIM-Coastal v1.1: an open-source modeling platform for global impacts of sea level rise
Energy & Resources Group, University of California, Berkeley, California, USA
Global Policy Lab, Goldman School of Public Policy, University of California, Berkeley, California, USA
The Rhodium Group, Oakland, California, USA
Global Policy Lab, Goldman School of Public Policy, University of California, Berkeley, California, USA
BlackRock, San Francisco, California, USA
Daniel Allen
Global Policy Lab, Goldman School of Public Policy, University of California, Berkeley, California, USA
Jun Ho Choi
Kenneth C. Griffin Department of Economics, University of Chicago, Chicago, Illinois, USA
Michael Delgado
The Rhodium Group, Oakland, California, USA
Michael Greenstone
National Bureau of Economic Research, Cambridge, Massachusetts, USA
Kenneth C. Griffin Department of Economics, University of Chicago, Chicago, Illinois, USA
Ali Hamidi
The Rhodium Group, Oakland, California, USA
BlackRock, San Francisco, California, USA
Trevor Houser
The Rhodium Group, Oakland, California, USA
Robert E. Kopp
Department of Earth & Planetary Sciences and Rutgers Institute of Earth, Ocean and Atmospheric Sciences, Rutgers University, New Brunswick, New Jersey, USA
Solomon Hsiang
Global Policy Lab, Goldman School of Public Policy, University of California, Berkeley, California, USA
National Bureau of Economic Research, Cambridge, Massachusetts, USA
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- 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 R. Kopp et al. 10.5194/gmd-16-7461-2023
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8 citations as recorded by crossref.
- Evaluating the feasibility of coastal protection scenarios on a city scale across plausible pathways scenarios for both sea level rise and urban development A. Eggert et al. 10.1016/j.ocecoaman.2024.107507
- Quantifying Climate Change Loss and Damage Consistent with a Social Cost of Greenhouse Gases M. Burke et al. 10.2139/ssrn.4567664
- Substantial reduction in population exposure to sea level changes along the Chinese mainland coast through emission mitigation H. Jin et al. 10.1088/1748-9326/ad801d
- Sea Level Rise and Urban Inequality A. Hsiao 10.1257/pandp.20241011
- Long-term economic impacts of coastal floods in Europe: a probabilistic analysis I. Mongelli et al. 10.3934/environsci.2023033
- 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 R. Kopp et al. 10.5194/gmd-16-7461-2023
- The Economics of the Global Energy Challenge M. Greenstone 10.1257/pandp.20241000
- Adaptation to Climate Change T. Carleton et al. 10.2139/ssrn.5069444
2 citations as recorded by crossref.
Latest update: 21 Feb 2025
Executive editor
Sea level rise represents one of the most compelling aspects of anthropogenic climate change. The potential social and economic impacts are enormous, with little that can be done to mitigate them. It is therefore of critical importance that we are able to correctly anticipate these impacts in advance. This study presents a new, open-source platform that integrates numerical modelling with socioeconomic and physical datasets, whilst also allowing for the uncertainty in climate change projections. This tool therefore allows for new and improved estimates of the global costs of future sea level rise and is likely to be of widespread interest.
Sea level rise represents one of the most compelling aspects of anthropogenic climate change....
Short summary
This work presents a novel open-source modeling platform for evaluating future sea level rise (SLR) impacts. Using nearly 10 000 discrete coastline segments around the world, we estimate 21st-century costs for 230 SLR and socioeconomic scenarios. We find that annual end-of-century costs range from USD 100 billion under a 2 °C warming scenario with proactive adaptation to 7 trillion under a 4 °C warming scenario with minimal adaptation, illustrating the cost-effectiveness of coastal adaptation.
This work presents a novel open-source modeling platform for evaluating future sea level rise...