Climate Risk Informed Decision Analysis (CRIDA)
Over the last decade, climate change is accelerating and disrupting national economies and affecting livelihoods, particularly through the impact on water and water-related hazards. Adequate planning for water resources management is therefore at the heart of disaster risk reduction, as defined by the Sendai Framework, and has been also integrated in the UN Sustainable Development Goals. The Paris Agreement highlights the importance of averting, minimizing and addressing loss and damage associated with the adverse effects of climate change, and the role of sustainable development in reducing the risk of loss and damage. It also requests the UN agencies to support their Member States in order to enhance action on adaptation, highlighting adequate planning for policy making, as well as the identification of adaptation strategies.
In this context, the CRIDA methodology was introduced as a multi-step process that embraces a participatory, bottom-up approach to identify water security hazards, and is sensitive to indigenous and gender-related water vulnerabilities. By engaging local communities in the design of the analysis, the information provided by scientific modeling and climate analysis can be tailored and thus provide more useful answers to the challenges they are facing. They are also providing a more informed starting point to assess the different options for adaptation, and design robust adaptation pathways, in line with the local needs.
In October 2018, the book “Climate Risk Informed Decision Analysis (CRIDA): Collaborative Water Resources Planning for an Uncertain Future”, was launched at UNESCO in Paris. This was the result of seven years of collaboration through technical exchanges, study pilots, and workshops between UNESCO-IHP, the International Centre for Integrated Water Resource Marnagement (ICIWaRM), Deltares, the Alliance for Global Water Adaptation (AGWA), the Millennium Challenge Cooperation (MCC), the World Bank, and the University of Massachusetts.
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