Case Study #3: Participatory Downscaling
translating national and regional climate information to meet local decision making needs
Key contact: Dominic Kniveton, University of Sussex
Humanitarian decision-making level: Community at risk of flooding; Farming groups in drought prone area
Geographic region: Kenya and Senegal
Relevance of approach across scientific disciplines: Communicating uncertainty; Governance of Science; Indigenous knowledge.
AIMS OF DIALOGUE PROCESS
The approach enables consideration of uncertainty at the different temporal and geographic scales by comparing the types of scientific information available with people’s direct experience and memories of specific events.
The approach has two main aims:
- To develop a shared understanding of the uncertainties in climate and weather information and impact of these uncertainties on humanitarian and development risk management decisions.
- Support local capacity to translate national and regional climate and weather information to a range of climatic and weather outcomes at local spatial and higher temporal scales relevant to local decision making processes.