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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Total article views: 3,481 (including HTML, PDF, and XML)
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2,757
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HTML: 2,757
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BibTeX: 61
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Total article views: 2,381 (including HTML, PDF, and XML)
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1,665
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Viewed (geographical distribution)
Total article views: 5,862 (including HTML, PDF, and XML)
Thereof 5,674 with geography defined
and 188 with unknown origin.
Total article views: 3,481 (including HTML, PDF, and XML)
Thereof 3,385 with geography defined
and 96 with unknown origin.
Total article views: 2,381 (including HTML, PDF, and XML)
Thereof 2,289 with geography defined
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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....
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...
