Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs

Abstract Sea‐level rise and associated flood hazards pose severe risks to the millions of people globally living in coastal zones. Models representing coastal adaptation and impacts are important tools to inform the design of strategies to manage these risks. Representing the often deep uncertaintie...

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Main Authors: T. E. Wong, C. Ledna, L. Rennels, H. Sheets, F. C. Errickson, D. Diaz, D. Anthoff
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Earth's Future
Subjects:
Online Access:https://doi.org/10.1029/2022EF003061
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author T. E. Wong
C. Ledna
L. Rennels
H. Sheets
F. C. Errickson
D. Diaz
D. Anthoff
author_facet T. E. Wong
C. Ledna
L. Rennels
H. Sheets
F. C. Errickson
D. Diaz
D. Anthoff
author_sort T. E. Wong
collection DOAJ
description Abstract Sea‐level rise and associated flood hazards pose severe risks to the millions of people globally living in coastal zones. Models representing coastal adaptation and impacts are important tools to inform the design of strategies to manage these risks. Representing the often deep uncertainties influencing these risks poses nontrivial challenges. A common uncertainty characterization approach is to use a few benchmark cases to represent the range and relative probabilities of the set of possible outcomes. This has been done in coastal adaptation studies, for example, by using low, moderate, and high percentiles of an input of interest, like sea‐level changes. A key consideration is how this simplified characterization of uncertainty influences the distributions of estimated coastal impacts. Here, we show that using only a few benchmark percentiles to represent uncertainty in future sea‐level change can lead to overconfident projections and underestimate high‐end risks as compared to using full ensembles for sea‐level change and socioeconomic parametric uncertainties. When uncertainty in future sea level is characterized by low, moderate, and high percentiles of global mean sea‐level rise, estimates of high‐end (95th percentile) damages are underestimated by between 18% (SSP1‐2.6) and 46% (SSP5‐8.5). Additionally, using the 5th and 95th percentiles of sea‐level scenarios underestimates the 5%–95% width of the distribution of adaptation costs by a factor ranging from about two to four, depending on SSP‐RCP pathway. The resulting underestimation of the uncertainty range in adaptation costs can bias adaptation and mitigation decision‐making.
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spelling doaj.art-eea7fc7c837e4a548a17d6f9340a88982022-12-27T15:03:06ZengWileyEarth's Future2328-42772022-12-011012n/an/a10.1029/2022EF003061Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation CostsT. E. Wong0C. Ledna1L. Rennels2H. Sheets3F. C. Errickson4D. Diaz5D. Anthoff6School of Mathematical Sciences Rochester Institute of Technology Rochester NY USAEnergy and Resources Group University of California Berkeley Berkeley CA USAEnergy and Resources Group University of California Berkeley Berkeley CA USASchool of Mathematical Sciences Rochester Institute of Technology Rochester NY USASchool of Public and International Affairs Princeton University Princeton NJ USAEnergy Systems and Climate Analysis Group Electric Power Research Institute Palo Alto CA USAEnergy and Resources Group University of California Berkeley Berkeley CA USAAbstract Sea‐level rise and associated flood hazards pose severe risks to the millions of people globally living in coastal zones. Models representing coastal adaptation and impacts are important tools to inform the design of strategies to manage these risks. Representing the often deep uncertainties influencing these risks poses nontrivial challenges. A common uncertainty characterization approach is to use a few benchmark cases to represent the range and relative probabilities of the set of possible outcomes. This has been done in coastal adaptation studies, for example, by using low, moderate, and high percentiles of an input of interest, like sea‐level changes. A key consideration is how this simplified characterization of uncertainty influences the distributions of estimated coastal impacts. Here, we show that using only a few benchmark percentiles to represent uncertainty in future sea‐level change can lead to overconfident projections and underestimate high‐end risks as compared to using full ensembles for sea‐level change and socioeconomic parametric uncertainties. When uncertainty in future sea level is characterized by low, moderate, and high percentiles of global mean sea‐level rise, estimates of high‐end (95th percentile) damages are underestimated by between 18% (SSP1‐2.6) and 46% (SSP5‐8.5). Additionally, using the 5th and 95th percentiles of sea‐level scenarios underestimates the 5%–95% width of the distribution of adaptation costs by a factor ranging from about two to four, depending on SSP‐RCP pathway. The resulting underestimation of the uncertainty range in adaptation costs can bias adaptation and mitigation decision‐making.https://doi.org/10.1029/2022EF003061sea levelcoastal adaptationclimateuncertaintyrisk
spellingShingle T. E. Wong
C. Ledna
L. Rennels
H. Sheets
F. C. Errickson
D. Diaz
D. Anthoff
Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs
Earth's Future
sea level
coastal adaptation
climate
uncertainty
risk
title Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs
title_full Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs
title_fullStr Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs
title_full_unstemmed Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs
title_short Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs
title_sort sea level and socioeconomic uncertainty drives high end coastal adaptation costs
topic sea level
coastal adaptation
climate
uncertainty
risk
url https://doi.org/10.1029/2022EF003061
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AT fcerrickson sealevelandsocioeconomicuncertaintydriveshighendcoastaladaptationcosts
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