Abstract
The need to stress test designs and decisions about major infrastructure under climate change conditions is increasingly being recognised. This chapter explores new ways to understand and—if possible—reduce the uncertainty in climate information to enable its use in assessing decisions that have consequences across the water, energy, food and environment sectors. It outlines an approach, applied in the Rufiji River Basin in Tanzania, that addresses uncertainty in climate model projections by weighting them according to different skill metrics; how well the models simulate important climate features. The impact of different weighting approaches on two river basin performance indicators (hydropower generation and environmental flows) is assessed, providing an indication of the reliability of infrastructure investments, including a major proposed dam under different climate model projections. The chapter ends with a reflection on the operational context for applying such approaches and some of the steps taken to address challenges and to engage stakeholders.
Original language | English |
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Title of host publication | Climate risk in Africa |
Subtitle of host publication | adaptation and resilience |
Editors | Declan Conway, Katharine Vincent |
Place of Publication | Cham, Switzerland |
Publisher | Palgrave Macmillan Ltd |
Chapter | 6 |
Pages | 93-113 |
Number of pages | 21 |
Edition | 1 |
ISBN (Electronic) | 9783030611606 |
ISBN (Print) | 9783030611590 |
DOIs | |
Publication status | Published - 20 Jan 2021 |
Keywords
- Tanzania
- Infrastructure
- Model evaluation
- Hydropower