Abstract

Abstract. Climate change is a fact; therefore, adaptation to a changing environment is a necessity. Adaptation is ultimately local, yet similar challenges pose themselves to decision-makers all across the globe and on all levels. The Economics of Climate Adaptation (ECA) methodology has established an economic framework to fully integrate risk and reward perspectives of different stakeholders, underpinned by the CLIMADA (CLIMateADAptation) impact modeling platform. We present an extension of the latter to appraise adaption options in a consistent fashion in order to provide decision-makers from the local to the global level with the necessary facts to identify the most effective instruments to meet the adaptation challenge. We apply the open-source Python implementation to a tropical cyclone impact case study in the Caribbean, using openly available data. This allows us to prioritize a small basket of adaptation options, namely green and gray infrastructure options as well as behavioral measures and risk transfer, and permits inter-island comparisons. In Anguilla, for example, mangroves avert simulated damages more than 4 times the cost estimated for mangrove restoration, whereas the enforcement of building codes is shown to be effective in the Turks and Caicos Islands in a moderate-climate-change scenario. For all islands, cost-effective measures reduce the cost of risk transfer, which covers the damage of high-impact events that cannot be cost-effectively prevented by other measures. This extended version of the CLIMADA platform has been designed to enable risk assessment and options appraisal in a modular form and occasionally bespoke fashion yet with the high reusability of common functionalities to foster the usage of the platform in interdisciplinary studies and international collaboration.

Highlights

  • Climate change is one of the defining challenges for humankind in the present century

  • Economics of Climate Adaptation (ECA) starts with a comprehensive cost–benefit analysis (CBA), where benefit does not need to be expressed in monetary units and can be well expressed using factors such as lives saved, as illustrated by many case studies (Bresch and ECA working group, 2009; Wieneke and Bresch, 2016)

  • In this paper we presented the concept of probabilistic options appraisal by extension of the CLIMADA impact modeling platform (Aznar-Siguan and Bresch, 2019b)

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Summary

Introduction

Climate change is one of the defining challenges for humankind in the present century. ECA starts with a comprehensive cost–benefit analysis (CBA), where benefit does not need to be expressed in monetary units and can be well expressed using factors such as lives saved, as illustrated by many case studies (Bresch and ECA working group, 2009; Wieneke and Bresch, 2016) Such CBA forms the basis for a wider multicriteria analysis (MCA, e.g., Haque, 2016) to integrate aspects such as specific risk appetite and further locally determined context (Brown et al, 2011; Dessai and Hulme, 2004; Preston and Stafford-Smith, 2009; Truong et al, 2016) and criteria (e.g., in NAPAs, UNFCCC, 2011). This extended version of the CLIMADA platform has been designed to enable risk assessment and options appraisal in a modular form and occasionally bespoke fashion (Hinkel and Bisaro, 2016) yet with the high reusability of common functionalities to foster usage in interdisciplinary studies (Souvignet et al, 2016) and international collaboration

Concept
Implementation
Adaptation measures
Cost and benefit
Case study: adaptation to hurricanes in the Antilles
Adaptation in Anguilla
Adaptation measures definition
Cost and benefit of adaptation measures under changing risk
Combining measures
Antilles heterogeneity
Findings
Discussion and outlook
Full Text
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