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    MOOC for Co-Creation of Human-Centred Climate Services

    Section outline

      • Announcements Forum
    • Course Introduction
    • Introduction to Climate Services
    • Co-Creation Guidelines
    • Integrating Scientific and Local Data
    • I-CISK Climate Services and Web Platform
    • Additional Resources and Useful Links
    • This topic presents an overview of the various methods, tools and models developed to integrate scientific and local data as part of co-creating climate services. Examples include value addition using post-processing/BIAS correction methods, visualization, decision timelines and other tools developed under I-CISK activities. The topic also discusses opportunities and challenges in integrating local knowledge in co-creating user centred climate services.

      • Presentation: Enhancing Streamflow Predictions At Local Scale With Hybrid Modelling File
      • Video Recording: Enhancing Streamflow Predictions At Local Scale With Hybrid Modelling URL
      • Presentation: Understanding and Integrating Local Knowledge to build human-centred climate services File
      • Reading Material_Pechlivanidis et al 2020_What Are the Key Drivers Controlling the Quality of Seasonal Streamflow Forecasts? File
      • Reading Material_Du and Pechlivanidis et al 2025_Hybrid approaches enhance hydrological model usability for local streamflow prediction File
      • Reading Material: Van Den Homberg et al (2023): Concepts and methods to characterise and integrate local and scientific knowledge File
      • Reading Material: Van Den Homberg et al (2024)_User Centred Validation of Climate Risk Knowledge Integration File
      • Quiz: Integrating Scientific and Local Data
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